Version 01 Codebook ------------------- CODEBOOK VARIABLE DOCUMENTATION 1994 POST-ELECTION STUDY (1994.TN) 1994 NES VARIABLE ENTRIES This file should be opened in fixed font, 10 pitch or smaller. Codebook introductory material and appendix material are in separate files. ---------------------------------------------------------------- NOTE ON VARIABLE NAMING: The variable name references used in NES Study codebooks do not include the "V" prefix found in all variable names used within the released SAS and SPSS data definition files (.sas and .sps files). For example, "VAR 920001" and "VAR VERSION" in Study codebooks refer to V920001 and VVERSION in the study data definition files. VARIABLE 'NUMBERING': 'Numbered' variables in NES timeseries datasets and in Pilot datasets (except the 1998 Pilot) comply with the following format: 2-digit year prefix + 4 digits + [opt] 1-char suffix. Examples: 1978 Post variable V780002; 1983 Pilot variable V832101. Note that for datasets including data from multiple studies, the 2-digit year prefix corresponds to the appropriate study year to which the variable is associated; for example, the 1983 Pilot dataset also includes 1982 timeseries variables, for which the 2-digit prefix is 82. Non-time-series studies other than Pilots use 2-character mnemonic prefixes, for example variable VPS0048 in the 1988-1990-1992 Pooled Senate Study dataset. SPECIAL NOTE ON COLUMN LOCATIONS: Some numeric variables use coding schemes that allow for code values having a varying number of digits. In such instances, the number of columns corresponding to the variable in the data file [.dat file] and in the column specifications will be the width of the maximum value occurring in the actual data, rather than the maximum width allowable by the coding scheme. For example, if codes 01-12 are allowed for a numeric variable but all values in the data are less than 10, then the number of columns corresponding to the variable within the ASCII data file will be 1. ============================== VAR VERSION NAME-NES VERSION NUMBER COLUMNS 1 - 2 NUMERIC NO MISSING DATA CODES NES VERSION NUMBER .................. ============================== VAR DSETNO NAME-NES DATASET NUMBER COLUMNS 3 - 9 CHARACTER NO MISSING DATA CODES NES DATASET NUMBER .................. This is dataset 1994.TN ============================== VAR 94STUDY ICPSR ARCHIVE NUMBER COLUMNS 10 - 13 NUMERIC NOMISSING DATA CODES ICPSR ARCHIVE NUMBER -------------------- 6507. The ICPSR has attached this number as a unique data collection identification number. ============================== VAR 940001 94PO: 1994 CASE ID COLUMNS 14 - 17 NUMERIC NOMISSING DATA CODES 1994 POST CASE ID ----------------- 759 of the 1994 Election Study respondents were initially interviewed in the 1992 Election Study. Please see introduction for further details of the 1994 Study design. 1001. Panel interviews - initially interviewed in 1992 . . 1759. " " 2001. Cross-section interviews . . 3036. " " ============================== VAR 940002 94PO: 94PANEL/CROSS INDICATOR COLUMNS 18 - 18 NUMERIC NOMISSING DATA CODES 1994: PANEL/CROSS-SECTION INDICATOR ----------------------------------- 759 1. PANEL IN 1994 (Tan Coversheet) 1036 2. CROSS-SECTION IN 1994 (Lilac Coversheet) ============================== VAR 940003 94PO: 93PILOT INDICATOR COLUMNS 19 - 19 NUMERIC NOMISSING DATA CODES 93 PILOT INDICATOR ------------------ 631 1. R interviewed in: 92 Pre-post, the 93 Pilot and the 94 Post Study 128 2. R interviewed in: 92 Pre-post and the 94 Post Study 1036 3. 94 cross-section ============================== VAR 940004 94PO: FULL SAMPLE WEIGHT COLUMNS 20 - 25 NUMERIC DEC 4 NOMISSING DATA CODES FULL SAMPLE WEIGHT ------------------ This weight compensates for the unequal probabilities of selection for respondents in different size househols and for different non-response across geographic sample design categories and between panel and cross-section respondents. It is post-stratified to the July 1993 Census population projections for 24 age, by sex by Census region categories (Current Population Reports, P25-1111, Table 4). This is a 6 digit variable with a coded decimal point and 4 actual This weight is particularly appropriate for descriptive statistics. See also the "Construction of Analysis Weights" in the Sample Design section of the Appendix to the codebook for the 1994 Post-election Survey. ============================== VAR 940005 94PO: PANEL ONLY WEIGHT COLUMNS 26 - 31 NUMERIC DEC 4 NOMISSING DATA CODES PANEL ONLY WEIGHT ----------------- This weight is to be used for analyses which use only the 759 panel cases; the cross-section cases have a value of "0" in this field. The weight compensates for the unequal probabilities of selection for respondents in different size households, and for differential nonresponse across geographic sample design categories. It is post-stratified to the July 1993 Census population projections for 24 age, by sex by Census region categories (Current Population Reports, P25-1111, Table 4). This weight is centered with a mean of 1.0. This is a 6 digit variable with a coded decimal point and 4 actual ============================== VAR 940006 94PO: TIME SERIES WEIGHT COLUMNS 32 - 37 NUMERIC DEC 4 NOMISSING DATA CODES TIME SERIES WEIGHT ------------------ This weight should be used in analyses in which the 1994 Panel is compared to earlier unweighted National Election Studies data collections. Variable 6 corrects for panel attrition and for the aging of the panel respondents. Details on the construction of this variable are provided in the Sample Design section of the Appendix to the codebook for the 1994 Post-election Survey. This weight is centered with a mean of 1.0. This is a 6 digit variable with a coded decimal point and 4 actual in this variable. ============================== VAR 940006A 94PO: TIME SERIES WEIGHT COLUMNS 38 - 43 NUMERIC DEC 4 NOMISSING DATA CODES ADDITONAL TIME SERIES WEIGHT - POST-STRATIFIED ---------------------------------------------- This weight was created because V940006 did not correct for an underrepresentation in study data of younger and less-educated respondents. V960006A is constructed to post-stratify the NES data to match the Current Population Study (CPS) estimate of the distribution of age group by education level. See "NEW WEIGHTS FOR THE 1996 STUDY" in the introductory portion of this codebook and Appendix document "Post-Stratified Cross-Sectional Analysis Weights the 1992, 1994 and 1996 NES data." This weight should be used in analyses in which the 1994 Panel is compared to earlier unweighted National Election Studies data collections. This weight is centered with a mean of 1.0. This is a 6- digit variable with a coded decimal point and 4 actual ============================== VAR 940007 94PO: FORM YELLOW/BLUE COLUMNS 44 - 44 NUMERIC NOMISSING DATA CODES FORM ---- The original form assignment is recorded here. The only function of this variable is to assign cases to the ballot card experiment. In 1994 respondents were presented alternative versions of the ballot card identical in content, but different in design. Please see Appendix V, Note 4 for sample ballots of each design. Users wishing to employ Form in their analysis should use V611 as a filter to eliminate either cases administered over the phone or cases where it is unclear which form was used. 890 1. YELLOW 905 2. BLUE ============================== VAR 940008 94PO: PRIMARY AREA CODE COLUMNS 45 - 47 NUMERIC NOMISSING DATA CODES PRIMARY AREA ------------ For Panel respondents who moved since the 1992 Pre-election study, the primary area corresponding to their original sampling address was coded here. The first digit of the Primary Area Code (4 or 5) is meaningless to the user. Its purpose is to allow the Sampling office to track the history of segments as they become active. In the code below, the first digit has been replaced by a "dot" to avoid double listing of the same Primary Area. .01 New York, NY .02 Los Angeles, CA .03 Chicago, IL .04 Philadelphia, PA .05 Detroit, MI .06 San Francisco, CA .07 Washington, DC-MD-VA .08 Dallas-Ft Worth, TX .09 Houston, TX .10 Boston, MA .11 Nassau-Suffolk, NY .12 St Louis, MO-IL .13 Pittsburgh, PA .14 Baltimore, MD .15 Minneapolis, MN-WI .16 Atlanta, GA .17 Buffalo, NY .18 Newark, NJ .21 New Haven, CT .23 Atlantic City, NJ .24 Manchester, NH .26 Milwaukee, WI .27 Dayton, OH .28 Kansas City, MO-KS .29 Des Moines, IA .31 Grand Rapids, MI .32 Ft Wayne, IN .33 Steubenville, OH-WV .34 Saginaw, MI .36 Birmingham, AL .39 Columbus, GA-AL .40 Miami, FL .42 Jacksonville, FL .43 Lakeland, FL .44 McAllen, TX .45 Waco, TX .47 Wheeling, WV-OH .49 Knoxville, TN .50 Richmond, VA .53 Seattle, WA .55 Denver, CO .56 Anaheim, CA .57 Riverside, CA .58 Fresno, CA .59 Eugene, OR .60 Phoenix, AZ .63 Schuyler Co, NY .64 Gardner, MA .65 Sanilac Co, MI .66 Decatur Co, IN .68 Saline Co, NE .70 Mower Co, MN .73 Bulloch Co, GA .74 Sabine Parish, LA .76 Hale Co, TX .77 Ashley Co, AR .78 Bedford Co, TN .80 Montgomery Co, VA .81 Robeson Co, NC .82 El Dorado Co, CA .84 Carbon Co, WY ============================== VAR 940009 94PO: PRIMARY AREA NAME ALPHANUMERIC COLUMNS 48 - 68 CHARACTER NOMISSING DATA CODES PRIMARY AREA NAME ----------------- This is an alphabetic variable. For the Panel component of the sample, variable 9 refers to the primary area of the segment from which respondent's household was selected in 1992; respondent may have moved since then. For Cross-Section component, it reflects the primary area of the segment from which the 1994 respondent was selected and was living when interviewed in 1994. ============================== VAR 940010 94PO: SEGMENT COLUMNS 69 - 69 NUMERIC NOMISSING DATA CODES SEGMENT ------- For Panel component, variable 10 refers to the location of the area segment from which the respondent's household was selected in 1992; respondent may have moved since then. For Cross-Section component, it reflects the location of the area segment from which the 1994 respondent was selected and was living when interviewed in 1994. This variable has been recoded toMISSING data for the Public Use Data File. Contact NES if access to this information in desired. ============================== VAR 940011 94PO: CENSUS REGION IN 94 COLUMNS 70 - 70 NUMERIC NOMISSING DATA CODES CENSUS REGION (1994) --------------------- For Panel respondents who have moved since the 1992 Pre-election study, the Region where they were residing at the time of the 1994 Post was recorded here. For original sampling assignment see V68. 270 1. Northeast (Connecticut, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania) 493 2. North Central (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, Ohio, South Dakota, Wisconsin) 665 3. South (Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Louisiana, Maryland, North Carolina, Tennessee, Texas, Virginia, West Virginia) 367 4. West (Arizona, California, Colorado, Oregon, Utah, Washington, Wyoming) ============================== VAR 940012 94PO: STATE ABBREVIATION ALPHANUMERIC COLUMNS 71 - 72 CHARACTER NOMISSING DATA CODES STATE ABBREVIATION ------------------ This is a character variable. For Panel respondents who moved since the 1992 Pre-interview the state where they are currently residing is coded here. ============================== VAR 940013 94PO: ICPSR STATE CODE COLUMNS 73 - 74 NUMERIC NOMISSING DATA CODES ICPSR STATE CODE ---------------- New England 17 01. Connecticut 02. Maine 41 03. Massachusetts 15 04. New Hampshire 05. Rhode Island 06. Vermont Middle Atlantic 11. Delaware 64 12. New Jersey 91 13. New York 42 14. Pennsylvania East North Central 49 21. Illinois 83 22. Indiana 122 23. Michigan 39 24. Ohio 23 25. Wisconsin West North Central 20 31. Iowa 17 32. Kansas 67 33. Minnesota 34 34. Missouri 38 35. Nebraska 36. North Dakota 1 37. South Dakota Solid South 115 40. Virginia 27 41. Alabama 35 42. Arkansas 99 43. Florida 84 44. Georgia 32 45. Louisiana 46. Mississippi 26 47. North Carolina 48. South Carolina 146 49. Texas Border States 51. Kentucky 34 52. Maryland 53. Oklahoma 50 54. Tennessee 55. Washington, D.C. 18 56. West Virginia Mountain States 87 61. Arizona 35 62. Colorado 63. Idaho 64. Montana 65. Nevada 66. New Mexico 1 67. Utah 15 68. Wyoming Pacific States 170 71. California 31 72. Oregon 28 73. Washington External States 81. Alaska 82. Hawaii ============================== VAR 940014 94PO: FIPS STATE CODE COLUMNS 75 - 76 NUMERIC NOMISSING DATA CODES FIPS STATE CODE --------------- States represented in 1994 sample have one asterisk (*). Two asterisks (**) indicate not belonging to the sample, but the state to which a Panel R has moved since 1992. 27 01. Alabama* 02. Alaska 87 04. Arizona 35 05. Arkansas* 170 06. California* 35 08. Colorado* 17 09. Connecticut* 10. Delaware 11. Washington, D.C. 99 12. Florida* 84 13. Georgia* 15. Hawaii 16. Idaho 49 17. Illinois* 83 18. Indiana* 20 19. Iowa* 17 20. Kansas* 21. Kentucky 32 22. Louisiana* 23. Maine 34 24. Maryland* 41 25. Massachusetts* 122 26. Michigan* 67 27. Minnesota* 28. Mississippi 34 29. Missouri* 30. Montana 38 31. Nebraska* 32. Nevada 15 33. New Hampshire* 64 34. New Jersey* 35. New Mexico 91 36. New York* 26 37. North Carolina* 38. North Dakota 39 39. Ohio* 40. Oklahoma 31 41. Oregon* 42 42. Pennsylvania* 44. Rhode Island 45. South Carolina 1 46. South Dakota** 50 47. Tennessee* 146 48. Texas* 1 49. Utah** 50. Vermont 115 51. Virginia* 28 53. Washington* 18 54. West Virginia* 23 55. Wisconsin* 15 56. Wyoming* ============================== VAR 940015 94PO: CONGRESSIONAL DISTRICT # COLUMNS 77 - 78 CHARACTER MISSING GE 99 CONGRESSIONAL DISTRICT ---------------------- This var refers to the congressional district in which R was residing at the time of the 1994 study. Ranges from 1-50. ============================== VAR 940016 94PO: ICPSR STATE & CD COLUMNS 79 - 82 NUMERIC NOMISSING DATA CODES STATE AND CONGRESSIONAL DISTRICT CODE ------------------------------------- This var refers to the congressional district where R was residing at the time of the 1994 Study. Codes sorted in alphabetic order 5 4103. AL03 2 4104. AL04 1 4105. AL05 11 4106. AL06 7 4107. AL07 35 4204. AR04 28 6101. AZ01 11 6102. AZ02 6 6103. AZ03 11 6104. AZ04 32 6106. AZ06 7102. CA02 30 7104. CA04 1 7106. CA06 3 7108. CA08 3 7109. CA09 4 7110. CA10 3 7112. CA12 3 7113. CA13 30 7119. CA19 3 7120. CA20 1 7126. CA26 2 7127. CA27 5 7128. CA28 11 7129. CA29 1 7132. CA32 3 7135. CA35 5 7138. CA38 8 7139. CA39 10 7140. CA40 11 7142. CA42 2 7143. CA43 8 7144. CA44 4 7145. CA45 3 7146. CA46 4 7147. CA47 11 7148. CA48 1 7150. CA50 11 6201. CO01 16 6202. CO02 3 6204. CO04 1 6205. CO05 5 6206. CO06 17 0103. CT03 2 4302. FL02 10 4303. FL03 16 4304. FL04 16 4306. FL06 36 4312. FL12 1 4313. FL13 4 4315. FL15 4 4317. FL17 6 4318. FL18 4 4321. FL21 4222. FL22 40 4401. GA01 14 4402. GA02 5 4403. GA03 8 4404. GA04 8 4405. GA05 4 4406. CA06 4 4407. GA07 1 4408. GA08 6 3103. IA03 14 3104. IA04 6 2101. IL01 7 2102. IL02 5 2103. IL03 2 2104. IL04 4 2105. IL05 7 2106. IL06 9 2109. IL09 5 2110. IL10 3 2112. IL12 1 2119. IL19 56 2202. IN02 26 2204. IN04 1 2206. IN06 17 3203. KS03 32 4504. LA04 30 0301. MA01 5 0302. MA02 2 0306. MA06 1 0308. MA08 4 0310. MA10 3 5202. MD02 4 5203. MD03 8 5204. MD04 1 5205. MD05 4 5206. MD06 14 5208. MD08 12 2302. MI02 20 2303. MI03 11 2304. MI04 45 2305. MI05 12 2309. MI09 5 2311. MI11 6 2312. MI12 4 2315. MI15 7 2316. MI16 30 3301. MN01 10 3302. MN02 6 3304. MN04 10 3305. MN05 9 3306. MN06 1 3308. MN08 1 3402. MO02 4 3403. MO03 9 3404. MO04 12 3405. MO05 7 3406. MO06 2 3409. MO09 1 4701. NC01 14 4707. NC07 10 4708. NC08 1 4709. NC09 38 3501. NE01 2 1201. NJ01 20 1202. NJ02 1205. NJ05 14 1207. NJ07 6 1209. NJ09 16 1210. NJ10 6 1211. NJ11 7 1301. NY01 5 1302. NY02 2 1303. NY03 5 1304. NY04 6 1306. NY06 3 1307. NY07 3 1308. NY08 6 1310. NY10 1 1311. NY11 4 1314. NY14 2 1316. NY16 9 1317. NY17 1 1318. NY18 1 1319. NY19 8 1327. NY27 6 1329. NY29 3 1330. NY30 20 1331. NY31 9 2403. OH03 3 2407. OH07 4 2408. OH08 23 2418. OH18 31 7204. OR04 14 1401. PA01 6 1402. PA02 5 1408. PA08 4 1412. PA12 5 1413. PA13 5 1414. PA14 3 1418. PA18 1 3701. SD01 24 5402. TN02 3 5403. TN03 23 5404. TN04 1 5405. TN05 14 4903. TX03 9 4906. TX06 4 4907. TX07 4 4908. TX08 1 4909. TX09 52 4911. TX11 14 4913. TX13 3 4914. TX14 32 4915. TX15 2 4918. TX18 2 4921. TX21 4 4926. TX26 1 4929. TX29 4 4930. TX30 1 6702. UT02 3 4001. VA01 12 4003. VA03 5 4004. VA04 20 4007. VA07 19 4008. VA08 48 4009. VA09 9 4010. VA10 13 7302. WA02 4 7307. WA07 5 7308. WA08 4 7309. WA09 16 2504. WI04 4 2505. WI05 3 2509. WI09 18 5601. WV01 15 6801. WY01 Codes sorted in numeric order 17 0103. CT03 30 0301. MA01 5 0302. MA02 2 0306. MA06 1 0308. MA08 4 0310. MA10 15 0401. NH01 2 1201. NJ01 20 1202. NJ02 1205. NJ05 14 1207. NJ07 6 1209. NJ09 16 1210. NJ10 6 1211. NJ11 7 1301. NY01 5 1302. NY02 2 1303. NY03 5 1304. NY04 6 1306. NY06 3 1307. NY07 3 1308. NY08 6 1310. NY10 1 1311. NY11 4 1314. NY14 2 1316. NY16 9 1317. NY17 1 1318. NY18 1 1319. NY19 8 1327. NY27 6 1329. NY29 3 1330. NY30 20 1331. NY31 14 1401. PA01 6 1402. PA02 5 1408. PA08 4 1412. PA12 5 1413. PA13 5 1414. PA14 3 1418. PA18 6 2101. IL01 7 2102. IL02 5 2103. IL03 2 2104. IL04 4 2105. IL05 7 2106. IL06 9 2109. IL09 5 2110. IL10 3 2112. IL12 1 2119. IL19 56 2202. IN02 26 2204. IN04 1 2206. IN06 12 2302. MI02 20 2303. MI03 11 2304. MI04 45 2305. MI05 12 2309. MI09 5 2311. MI11 6 2312. MI12 4 2315. MI15 7 2316. MI16 9 2403. OH03 3 2407. OH07 4 2408. OH08 23 2418. OH18 16 2504. WI04 4 2505. WI05 3 2509. WI09 6 3103. IA03 14 3104. IA04 17 3203. KS03 30 3301. MN01 10 3302. MN02 6 3304. MN04 10 3305. MN05 9 3306. MN06 1 3308. MN08 1 3402. MO02 4 3403. MO03 9 3404. MO04 12 3405. MO05 7 3406. MO06 2 3409. MO09 38 3501. NE01 1 3701. SD01 3 4001. VA01 12 4003. VA03 5 4004. VA04 20 4007. VA07 19 4008. VA08 48 4009. VA09 9 4010. VA10 5 4103. AL03 2 4104. AL04 1 4105. AL05 11 4106. AL06 7 4107. AL07 35 4204. AR04 2 4302. FL02 10 4303. FL03 16 4304. FL04 16 4306. FL06 36 4312. FL12 1 4313. FL13 4 4315. FL15 4 4317. FL17 6 4318. FL18 4 4321. FL21 1 4322. FL22 40 4401. GA01 14 4402. GA02 5 4403. GA03 8 4404. GA04 8 4405. GA05 4 4406. GA06 4 4407. GA07 1 4408. GA08 32 4504. LA04 1 4701. NC01 14 4707. NC07 10 4708. NC08 1 4709. NC09 14 4903. TX03 9 4906. TX06 4 4907. TX07 4 4908. TX08 1 4909. TX09 52 4911. TX11 14 4913. TX13 3 4914. TX14 32 4915. TX15 2 4918. TX18 2 4921. TX21 4 4926. TX26 1 4929. TX29 4 4930. TX30 3 5202. MD02 4 5203. MD03 8 5204. MD04 1 5205. MD05 4 5206. MD06 14 5208. MD08 24 5402. TN02 3 5403. TN03 23 5404. TN04 1 5405. TN05 18 5601. WV01 28 6101. AZ01 11 6102. AZ02 6 6103. AZ03 11 6104. AZ04 32 6106. AZ06 11 6201. CO01 16 6202. CO02 3 6204. CO04 1 6205. CO05 5 6206. CO06 1 6702. UT02 15 6801. WY01 7102. CA02 30 7104. CA04 1 7106. CA06 3 7108. CA08 3 7109. CA09 4 7110. CA10 3 7112. CA12 3 7113. CA13 30 7119. CA19 3 7120. CA20 1 7126. CA26 2 7127. CA27 5 7128. CA28 11 7129. CA29 1 7132. CA32 3 7135. CA35 5 7138. CA38 8 7139. CA39 10 7140. CA40 11 7142. CA42 2 7143. CA43 8 7144. CA44 4 7145. CA45 3 7146. CA46 4 7147. CA47 11 7148. CA48 1 7150. CA50 31 7204. OR04 2 7301. WA01 13 7302. WA02 4 7307. WA07 5 7308. WA08 4 7309. WA09 ============================== VAR 940017 94PO: TYPE OF HOUSE RACE COLUMNS 83 - 84 NUMERIC NOMISSING DATA CODES TYPE OF CONGRESSIONAL RACE (HOUSE OF REPRESENTATIVES) ----------------------------------------------------- Codes represent types of race in 1994 sample CDs. For a complete list of codes for the type of congressional race see Candidate Number Master Code in Note 3. *VA10 only. The independent candidate was treated as the Democratic candidate through the interview. INCUMBENT CANDIDATE(S) 859 12. Democratic incumbent running -- Republican challenger 48 14. Democratic incumbent running -- Unopposed 476 21. Republican incumbent running -- Democratic challenger 9 23. Republican incumbent running -- Other challenger* 121 24. Republican incumbent running -- Unopposed 220 55. Democratic incumbent not running -- Dem. & Rep. candidates 57 65. Republican incumbent not running -- Dem. & Rep. candidates 5 75. Other party incumbent not running -- Dem. & Rep. candidates (NY04 only) ============================== VAR 940018 94PO: TYPE OF SENATE RACE COLUMNS 85 - 86 NUMERIC NOMISSING DATA CODES TYPE OF SENATE RACE ------------------- Codes represent types of race in 1994 sample states. For a complete list of codes for the type of Senate race see Candidate Number Master Code in Note 3. INCUMBENT CANDIDATE(S) 540 12. Democratic incumbent running -- Republican challenger 115 19. Democratic incumbent running -- Republican & Independent challengers 356 21. Republican incumbent running -- Democratic challenger 248 55. Democratic incumbent not running -- Dem. & Rep. candidates 116 65. Republican incumbent not running -- Dem. & Rep. candidates 115 81. Democratic incumbents -- no race in Senate 88 82. Republican incumbents -- no race in Senate 166 85. Democratic and Republican incumbents -- no race in state 50 95. Two senate races in the state (Tennessee only) ============================== VAR 940019 94PO: TYPE OF GOVERNOR RACE COLUMNS 87 - 88 NUMERIC NOMISSING DATA CODES TYPE OF GOVERNOR RACE --------------------- Codes represent types of race in 1994 sample states. For a complete list of codes for the type of Gubernatorial race see Candidate Number Master Code in Note 3. INCUMBENT CANDIDATE(S) 554 12. Democratic incumbent running -- Republican challenger 633 21. Republican incumbent running -- Democratic challenger 24. Republican incumbent running -- Unopposed 189 55. Democratic incumbent not running -- Dem. & Rep. candidates 1 65. Republican incumbent not running -- Dem. & Rep. candidates 17 75. Other party incumbent not running -- Dem. & Rep. candidates (Connecticut only) 221 81. Democratic incumbent -- no race in state 180 82. Republican incumbent -- no race in state ============================== VAR 940020 94PO: ST & CD FOR VOTER OUTSTATE COLUMNS 89 - 92 NUMERIC MISSING 0 OR GE 9999 State and Congressional District for Respondents Who Voted Outside of Sample Address ---------------------------------------------------------- The first two digits correspond to the ICPSR state code, the last two digits correspond to the CD number. State is always coded; 99 in last two digits indicates Congressional District number is NA. See V16 for codes. 0000. INAP, did not vote outside sample address, or R did not vote. ============================== VAR 940021 94PO: FIPS STATE & COUNTY COLUMNS 93 - 97 NUMERIC NOMISSING DATA CODES FIPS STATE AND COUNTY CODE -- ----------------------------- For Panel respondents who moved since 1992, the State and county where they were residing at the time of the 1994 Post was coded here. 1 01033. Colbert, AL 14 01073. Jefferson, AL 5 01113. Russell, AL 4 01117. Shelby, AL 2 01127. Walker, AL 1 04007. Gila, AZ 85 04013. Maricopa, AZ 1 04021. Pinal, AZ 35 05003. Ashley, AR 6 06001. Alameda, CA 4 06013. Contra Costa, CA 30 06017. El Dorado, CA 33 06019. Fresno, CA 29 06037. Los Angeles, CA 1 06041. Marin, CA 18 06059. Orange, CA 22 06065. Riverside, CA 21 06071. San Bernardino, CA 1 06073. San Diego, CA 4 06075. San Francisco, CA 2 06081. San Mateo, CA 3 08001. Adams, CO 5 08005. Arapahoe, CO 11 08013. Boulder, CO 11 08031. Denver, CO 1 08041. El Paso, CO 5 08059. Jefferson, CO 17 09009. New Haven, CT 1 12013. Calhoun, FL 14 12025. Dade. FL 1 12027. De Soto, FL 33 12031. Duval, FL 1 12073. Leon, FL 1 12089. Nassau, FL 40 12105. Polk, FL 7 12109. St Johns, FL 1 12115. Sarasota, FL 40 13031. Bulloch, GA 1 13063. Clayton, GA 7 13089. De Kalb, GA 4 13097. Douglas, GA 9 13121. Fulton, GA 3 13135. Gwinnett, GA 1 13193. Macon, GA 17 13215. Muscogee, GA 1 13247. Rockdale, GA 1 13277. Tift, GA 1 17029. Coles, IL 33 17031. Cook, IL 7 17043. Du Page, IL 5 17097. Lake, IL 3 17163. St Clair, IL 22 18003. Allen, IN 55 18031. Decatur, IN 1 18097. Marion, IN 1 18139. Rush, IN 4 18179. Wells, IN 1 19049. Dallas, IA 13 19153. Polk, IA 6 19181. Warren, IA 17 20091. Johnson, KS 32 22085. Sabine, LA 1 24005. Baltimore, MD 2 24025. Harford, MD 4 24027. Howard, MD 15 24031. Montgomery, MD 8 24033. Prince Georges, MD 4 24510. Baltimore City, MD 2 25009. Essex, MA 5 25015. Hampshire, MA 1 25017. Middlesex, MA 4 25021. Norfolk, MA 30 25027. Worcester, MA 20 26081. Kent, MI 5 26087. Lapeer, MI 6 26099. Macomb, MI 7 26125. Oakland, MI 12 26139. Ottawa, MI 30 26145. Saginaw, MI 25 26151. Sanilac, MI 1 26157. Tuscola, MI 16 26163. Wayne, MI 9 27003. Anoka, MN 1 27025. Chisago, MN 10 27053. Hennepin, MN 27065. Kanabec, MN 30 27099. Mower, MN 6 27123. Ramsey, MN 10 27171. Wright, MN 1 29007. Audrain, MO 1 29019. Boone, MO 4 29047. Clay, MO 1 29085. Hickory, MO 22 29095. Jackson, MO 3 29099. Jefferson, MO 1 29189. St Louis, MO 1 29510. St Louis City, MO 1 31067. Gage, NE 37 31151. Saline, NE 9 33011. Hillsborough, NH 6 33015. Rockingham, NH 20 34001. Atlantic, NJ 6 34003. Bergen, NJ 2 34007. Camden, NJ 12 34013. Essex, NJ 6 34027. Morris, NJ 7 34035. Somerset, NJ 11 34039. Union, NJ 5 36005. Bronx, NY 14 36029. Erie, NY 8 36047. Kings, NY 7 36059. Nassau, NY 6 36061. New York, NY 3 36063. Niagara, NY 9 36081. Queens, NY 20 36097. Schuyler, NY 12 36103. Suffolk, NY 8 36119. Westchester, NY 1 37011. Avery, NC 1 37119. Mecklenburg, NC 24 37155. Robeson, NC 13 39013. Belmont, OH 3 39057. Greene, OH 10 39081. Jefferson, OH 4 39109. Miami, OH 9 39113. Montgomery, OH 1 41011. Coos, OR 30 41039. Lane, OR 8 42003. Allegheny, PA 5 42017. Bucks, PA 10 42045. Delaware, PA 5 42091. Montgomery, PA 1 41011. Coos, OR 10 42101. Philadelphia, PA 4 42129. Westmoreland, PA 1 46103. Pennington, SD 2 47001. Anderson, TN 23 47003. Bedford, TN 4 47009. Blount, TN 1 47037. Davidson, TN 1 47065. Hamilton, TN 20 47093. Knox, TN 2 48039. Brazoria, TX 1 48071. Chambers, TX 1 48091. Comal, TX 18 48113. Dallas, TX 5 48121. Denton, TX 4 48139. Ellis, TX 1 48145. Falls, TX 13 48189. Hale, TX 11 48201. Harris, TX 1 48209. Hays, TX 32 48215. Hidalgo, TX 51 48309. McLennan, TX 5 48439. Tarrant, TX 1 48451. Tom Green, TX 1 49035. Salt Lake, UT 7 51013. Arlington, VA 4 51041. Chesterfield, VA 20 51059. Fairfax, VA 5 51075. Goochland, VA 15 51087. Henrico, VA 1 51095. James City, VA 35 51121. Montgomery, VA 1 51510. Alexandria City, VA 1 51650. Hampton City, VA 11 51750. Radford City, VA 13 51760. Richmond City, VA 1 51775. Salem City, VA 1 51830. Williamsburg City, VA 53011. Clark, WA 1 53013. Columbia, WA 13 53033. King, WA 1 53053. Pierce, WA 13 53061. Snohomish, WA 4 54009. Brooke, WV 6 54029. Hancock, WV 2 54051. Marshall, WV 6 54069. Ohio, WV 13 55079. Milwaukee, WI 2 55089. Ozaukee, WI 1 55131. Washington, WI 7 55133. Waukesha, WI 15 56007. Carbon, WY ============================== VAR 940022 94PO: R MOVED 92-94 COLUMNS 98 - 98 NUMERIC MISSING 0 PANEL SUMMARY 1992,1994: DID R MOVE BETWEEN 1992 AND 1994 (1994 INTERVIEW LOCATION DIFFERENT FROM 1992 LOCATION)?. ---------------------------------------------------------- Sabine Parish (Primary area 474) was redistricted after the 1992 election from LA06 to LA04. Several panel respondents who resided in this PA in 1992 had moved before the 1994 interview, but all were located in 1994 within new district LA04 and are coded 2 (non-movers are coded 4). 61 1. R moved OUT OF 1992 Congressional District 135 2. R moved WITHIN 1992 Congressional District 2 3. R did not move but has 2 residences and was at different residence in 1994 561 4. R DID NOT MOVE to different location in 1994 1036 0. INAP, 1994 cross-section ============================== VAR 940023 94PO: REDISTRICTING AFTER 92 COLUMNS 99 - 99 NUMERIC MISSING 0 PANEL SUMMARY 1994: WAS R'S 1992 Congressional District REDISTRICTED IN 1994? -------------------------------------------------------- Note: in MN05 limited redistricting took place, but the portion of MN05 containing NES Panel cases was not affected in 1994 (coded 2). Code 1 includes cases from Sabine parish LA (Primary Area 474, segments 1,4,7,8,11) 23 1. R's 1992 Congressional District WAS redistricted in 1994 736 2. R's 1992 Congressional District WAS NOT redistricted in 1994 1036 0. INAP, 1994 cross-section ============================== VAR 940024 94PO: 92 CD ASSIGNMENT WRONG COLUMNS 100 - 100 NUMERIC MISSING 0 PANEL SUMMARY 1992: WAS 1992 CD ASSIGNMENT IN ERROR? ---------------------------------------------------- Code 1 includes the following PAs and segments: 501-103, 501-148,503-129, 505-105, 511-111, 516-108 (part), 528-106, 557-104, 515-105, 481-008. Code 3 - in 1992, it was thought that this case had been assigned the wrong CD number; the CD number was changed and the substantive data for this case were made NA in 1992. However, it was discovered in 1994 that the 1992 'correction' itself was a misassignment (the original 1992 CD assignment was correct); in the 1994 data the 1994 CD is correct but no further change to the 1992 data (1992 CD number or 1992 substantive data) has been made. Note that for this case the 93 Pilot was administered according to the original (correct) 92 CD assignment. 45 1. Yes, 1992 CD error, discovered in 1994; CD number and substantive responses in 1992 data have not been corrected 6 2. Yes, 1992 CD error, discovered in 1992; CD number corrected and substantive responses were made NA in 1992 1 3. Yes, 1992 CD error, both 1 and 2 apply 708 5. No, 1992 CD assignment was not in error 1036 0. INAP, 1994 cross-section ============================== VAR 940025 94PO: R'S 93 PIL CD IN ERROR COLUMNS 101 - 101 NUMERIC MISSING 0 SUMMARY 1993: WAS THE RESPONDENT'S 1993 PILOT CONGRESSIONAL DISTRICT ASSIGNMENT IN ERROR? ------------------------------------------------------------ V25, together with V7007 (Did the R Move) accounts for differences in Congressional District assignment between 1992 and 1993. The information from these variables is incorporated in summary variables V30 and V32. 11 1. Yes, ERROR because R moved out of 1992 CD, (9 in V7007), but 93 Pilot not conducted according to new CD 36 2. Yes, ERROR due to 1992 CD misassignment (1,3 in V24) continued in 1993 Pilot 1 3. Yes, ERROR, both 1 and 2 apply: 1992 CD misassigned, 1992 CD used in 1993 after R had moved and changed CDs (1 case) 582 5. NO, Pilot CD CORRECT (includes 1 case 1 in V24 where R moved and was assigned correct new CD in 93 and includes 1 case 3 in v24, 1992 misassigned CD corrected in 1993) 1 9. NA, R's 1993 CD indeterminate (1 case) 1164 0. Inap, no 1993 Pilot; 1994 Cross-Section ============================== VAR 940026 94PO: ADMINIST OF CAND LIST COLUMNS 102 - 102 NUMERIC NOMISSING DATA CODES ERROR IN ADMINISTRATION OF CANDIDATE LIST:1994. ----------------------------------------------- Either the interviewer used the wrong candidate list for R or the candidate list itself contained an error. See the introductory section, "Congressional District Assignment and Congressional Candidates" for further description of this problem. This variable was used to build V28 and V29. 1781 0. There was NOT a problem in the candidate list administration. 11 1. ERROR:Candidate List from wrong CD used, names not correct 3 2. ERROR:CD assignment correct but Candidate List was in error (wrong orMISSING names) ============================== VAR 940027 94PO: R REGIST IN 94 CD LOCATION COLUMNS 103 - 103 NUMERIC MISSING 0 SUMMARY 1994: WAS R REGISTERED TO VOTE IN CONGRESSIONAL DISTRICT OF 1994 INTERVIEW LOCATION? ------------------------------------------------------- Interview location is the location where R was residing at the time of the 1994 interview. This variable was built by comparing the county where R says they are registered with current CD assignment. In a very few cases, due to split county CDs, the information was ambiguous but almost always it was possible to determine whether the county was in the same or a different CD. 1343 1. Yes, R registered in CD where interviewed in 1994 37 2. No, R not registered in CD of interview location 23 9. Not clear whether registration in same or different CD (DK/NA where R registered: 8,9 in v603, 99999 in v604, or CD is 99 and state is not different from state of interview in V20) 393 0. Inap, R not registered (5 in 602); DK/NA whether R registered or R says not required to register (6,8,9 in 602); refused to say whether voted (6 in 601) ============================== VAR 940028 94PO: CAND NAMES/CAND RUNNING COLUMNS 104 - 104 NUMERIC MISSING GE 9 SUMMARY 1994: WERE CANDIDATE NAMES ADMINISTERED IN 1994 THE SAME AS THE CANDIDATES RUNNING IN THE DISTRICT WHERE R WAS REGISTERED/VOTED IN 1994? ------------------------------------------------------------ This variable compares the congressional candidates which the R was asked to evaluate throughout the 1994 questionnaire, with those who actually were on the ballot in the congressional district where R voted (or would have voted). V28 incorporates the information from V26 and V27, that is, was R read the correct set of candidate names, and was the R registered to vote in the congressional district in which h/she was actually interviewed. 1331 0. Yes, administered names same as vote choice names 12 1. No, not same, due to error in candidate name administration (1,2 in V26) 37 2. No, not same, R registered in district other than the district of candidates whose names were administered (2 in V27) 3. No, not same, both 1 and 2 apply 2 4. No, not same, both 1 and 9 apply 414 9. Inap, 0,9 in V27 ============================== VAR 940029 94PO: EVAL SAME INCUMBENT 92/94 COLUMNS 105 - 105 NUMERIC MISSING 0 PANEL SUMMARY 1992,1994: DID R EVALUATE THE SAME INCUMBENT CANDIDATE IN 1992 AND 1994? ----------------------------------------------------------- This variable incorporates information from V17, V22-V24 and V26. The 1994 administered candidate names were, in all cases except those of error (1,2 in V26), the names of the candidates who ran in the CD of R's residence at the time of the 1994 interview. 504 1. Yes, 1994 incumbent was also evaluated in 1992 117 2. No, because type of race for 1994 IW location did not include an incumbent (55,65,75 in V17) 53 3. No, because CD of 1994 interview location was different from CD of 1992 interview: R either moved to a different CD after 1992 (1 in V22) or R has 2 residences and lived at different residence in 1994 (3 in V22) 23 4. No, because R was redistricted after 1992: R's 1994 incumbent was not a candidate in R's 1992 CD (1 in V23, Sabine Parish LA; no cases in this category also fit into codes 2,3 or 5) 46 5. No, because an error was made in the 1992 or 1994 CD assignment (1,2,3 in V24 or 1,2 in V26) 6 6. No, both 2 and 3 3 7. No, both 2 and 5 5 8. No, both 3 and 5 3 9. Candidate names were consistent but wrong CD (wrong names) in both 1992 and 1994 (3 cases) 1036 0. Inap, 1994 cross-section ============================== VAR 940030 94PO: EVAL SAME INCUMBENT 92/93 COLUMNS 106 - 106 NUMERIC MISSING 0 PANEL SUMMARY 1992,1993: DID R EVALUATE THE SAME INCUMBENT CANDIDATE IN 1992 AND 1993? ----------------------------------------------------------- This variable incorporates the data from V24, V25 and V7007. Information from V30 was used to build V32. 562 1. Yes, same, 1993 incumbent had been evaluated in 1992 19 3. No, not same, because R moved and changed CD between 1992 and 1993, 1993 Pilot conducted according to new CD (1 in V7007 and administered according to new CD) 2 5. No, not same, both 3 and 9 apply (3 in V25) or 3 in V24 11 8. Same but error: names 1992 and 1993 were consistent but an error was made in 1993, R had moved and changed CD but 1993 Pilot was not conducted according to new CD (1 in V25) 36 9. 1992 Candidate names were for wrong CD (2 in V25). If 9 is coded the error continued in 1993 and the names were consistent and wrong in both years. (If 5 is coded the names were not consistent and were wrong in 1992 only) 1165 0. Inap, no 1993 Pilot interview; 1993 CD indeterminate (9 in V25) ============================== VAR 940031 94PO: EVAL SAME INCUMBENT 93/94 COLUMNS 107 - 107 NUMERIC MISSING 0 PANEL SUMMARY 1993,1994: DID R EVALUATE THE SAME INCUMBENT CANDIDATE IN 1993 AND 1994? ----------------------------------------------------------- This variable incorporates information from V17, V22-V26. Information from V31 was used to build V32. Note: Rs with 2 residences in V22 changed to other residence in 1993 but made no further change in residence in 1994. 440 1. Yes, 1993 incumbent was also evaluated in 1994 95 2. No, because type of race for 1994 IW location did not include an incumbent (55,65,75 in V17) 25 3. No, because CD of 1994 interview location was different than CD of 1993 interview: R moved to a different CD after the 1993 IW 14 4. No, because R was redistricted 1993-1994: R's 1994 incumbent was not in office in R's 1993 CD (1 in V23, Sabine Parish LA; no cases in this category also fit into codes 2,3 or 5) 44 5. No, because an error was made in the 1993 or 1994 CD assignment (1,2,3 in v25 or 1,2 in V26) 4 6. No, both 2 and 3 3 7. No, both 2 and 5 2 8. No, both 3 and 5 3 9. Candidate names were consistent but wrong CD (wrong names) in both 1993 and 1994 1165 0. Inap, no 1993 Pilot; 1993 CD indeterminate (9 in V25) ============================== VAR 940032 94PO: EVAL SAME INCUMBENT 92/93/94 COLUMNS 108 - 108 NUMERIC MISSING 0 PANEL SUMMARY 1992,1993,1994: DID R EVALUATE THE SAME CANDIDATE (INCUMBENT) IN 1992,1993,1994? ------------------------------------------------------ V32 incorporates information form V25, V29-V31 132 1. Same incumbent in 1992 and 1993, not same in 1994 (v30=1) 12 2. Same incumbent in 1993 and 1994, not same in 1992 (v31=1) 3. Same incumbent in 1992 and 1994, not same in 1993 (v29=1) 81 4. Same incumbent in 1992 and 1994, no 93 Pilot (v29=1) 422 5. Same incumbent in 1992, 1993, 1994 (v29,v30,v31=1) 44 7. Not same in any 2 years (includes 9 in v25) 67 9. Error made in 1992,1993 or 1994 (5,7,8,9 in v29 and/ or 5,8,9 in v30 and/or 5,7,8,9 in v31); 1036 0. Inap, 1994 cross-section ============================== VAR 940033 94PO: MONTH OF INTERVIEW COLUMNS 109 - 110 NUMERIC MISSING GE 99 MONTH OF INTERVIEW ------------------ 1277 11. November 1994 444 12. December 1994 74 01. January 1995 99. NA ============================== VAR 940034 94PO: DAY OF INTERVIEW COLUMNS 111 - 112 NUMERIC MISSING 0 OR GE 99 DAY OF INTERVIEW ---------------- Day of interview 1-31 coded, except: 99. NA 00. INAP, not an interview ============================== VAR 940035 94PO: YEAR OF INTERVIEW COLUMNS 113 - 114 NUMERIC NOMISSING DATA CODES YEAR OF INTERVIEW ----------------- 1994. 1995. ============================== VAR 940036 94PO: # OF DAYS SINCE ELECTION COLUMNS 115 - 116 NUMERIC NOMISSING DATA CODES NUMBER OF DAYS SINCE ELECTION DAY -- Nov 8, 1994 ------------------------------------------------ This variable is based on the date of interview. It counts the number of days since the election. It ranges from 1 to 61 days ============================== VAR 940037 94PO: INTERVIEWER INTERVIEW # COLUMNS 117 - 118 NUMERIC NOMISSING DATA CODES INTERVIEWER'S INTERVIEW NUMBER ------------------------------ This number records the sequence in which each interviewer's interviews were completed. "01" is the first interview on the Pre-election study taken by a particular interviewer; "02" the second, and so on. The actual number (1-32) is coded. ============================== VAR 940038 94PO: LENGTH OF INTERVIEW COLUMNS 119 - 121 NUMERIC MISSING GE 999 INTERVIEW LENGTH IN MINUTES --------------------------- The actual number of minutes (16-234) is coded. N=1795 MEAN=72.46127 ST.DEV=18.52493 MIN=16.00000 MAX=234.0000 ============================== VAR 940039 94PO: LENGTH OF PRE-EDIT COLUMNS 122 - 124 NUMERIC MISSING GE 999 PRE-EDIT LENGTH IN MINUTES -------------------------- The actual number of minutes (1-45) is coded, except: 999. NA N=1790 MEAN=9.696861 ST.DEV=4.058156 MIN=1.000000 MAX=45.00000 ============================== VAR 940040 94PO: LENGTH OF POST-EDIT COLUMNS 125 - 127 NUMERIC MISSING GE 999 POST-EDIT LENGTH, IN MINUTES ---------------------------- The actual number of minutes( 1-163) is coded, except: 999. NA N=1778 MEAN=32.46881 ST.DEV=18.01444 MIN=1.000000 MAX=163.0000 ============================== VAR 940041 94PO: # OF PHONE CALLS TO HU COLUMNS 128 - 129 NUMERIC MISSING GE 99 NUMBER OF TELEPHONE CALLS (TOTAL NUMBER OF CALLS) ------------------------------------------------- Number of calls (0-26) is coded. N=1795 MEAN=1.993940 ST.DEV=2.957458 MIN=0 MAX=26.00000 ============================== VAR 940042 94PO: # OF FTF CALLS TO HU COLUMNS 130 - 131 NUMERIC MISSING GE 99 NUMBER OF FACE TO FACE CALLS (TOTAL NUMBER OF CALLS) ---------------------------------------------------- Number of calls (0-23) is coded. N=1795 MEAN=3.082391 ST.DEV=2.537749 MIN=0 MAX=23.00000 ============================== VAR 940043 94PO: TOTAL # OF CALLS COLUMNS 132 - 133 NUMERIC NOMISSING DATA CODES TOTAL NUMBER OF CALLS (Phone + FTF) ----------------------------------- This variable adds the number of phone calls and face to face calls that were made to R's home in order to obtain the interview. This variable is comparable to the "number of calls" variable in past studies. It ranges from 1 to 47 calls N=1795 MEAN=5.076331 ST.DEV=4.153654 MIN=1.000000 MAX=47.00000 ============================== VAR 940044 94PO: INTERVIEW WITHIN/OUT RANGE COLUMNS 134 - 134 NUMERIC NOMISSING DATA CODES WITHIN RANGE OF FIELD INTERVIEWER? ---------------------------------- The address for every Panel respondent who had moved since the 1992 Pre- election study was evaluated by the field supervisors. Addresses beyond reasonable driving distance by local interviewers were classified as out of range and transfered to the Detroit staff who conducted these interviews over the phone. 1771 1. FIELD -- includes cross-section 24 2. OUT OF RANGE ============================== VAR 940045 94PO: INTERVIEW FACE TO FACE/PHONE COLUMNS 135 - 135 NUMERIC NOMISSING DATA CODES WAS THIS A TELEPHONE INTERVIEW? ------------------------------- 36 1. YES - Telephone Interview 1759 5. NO - Not a Telephone Interview ============================== VAR 940046 94PO: ADMINISTRATION/MODE SUMMARY COLUMNS 136 - 136 NUMERIC NOMISSING DATA CODES ADMINISTRATION/MODE SUMMARY --------------------------- This variable summarizes the information in v44 and v45. 1759 1. Within range -- face to face 12 2. Within range -- administered by phone (with permission of study staff) 24 3. Out of range -- administered by phone ============================== VAR 940047 94PO: LANGUAGE OF INTERVIEW COLUMNS 137 - 137 NUMERIC MISSING GE 9 LANGUAGE OF INTERVIEW --------------------- 1791 1. English 4 2. Spanish 9. NA ============================== VAR 940048 94PO: RESULT CODE COLUMNS 138 - 138 NUMERIC NOMISSING DATA CODES FINAL RESULT CODE ----------------- 1779 01. INTERVIEW, complete 16 05. INTERVIEW, partial ============================== VAR 940049 94PO: PANEL SAME ADDRESS/MOVED COLUMNS 139 - 139 NUMERIC MISSING 0 OR GE 9 (PANEL ONLY) DOES R LIVES AT ADDRESS PRINTED ON SAMPLE LABEL? ------------------------------------------------------ The address on the label for Panel repondents reflected our knowledge of their whereabouts right before the field period. 686 1. YES 73 5. NO 9. NA 1036 0. INAP, 1994 cross-section ============================== VAR 940050 94PO: PANEL DIFF SEX/NAME/AGE COLUMNS 140 - 140 NUMERIC MISSING 0 OR GE 9 (PANEL) I need to verify that your full name is (NAME OF RESPONDENT). I also need to verify that were born on (BIRTH MONTH AND YEAR). R NAME, BIRTH AND GENDER ARE: ----------------------------------------------------------- 712 1. IDENTICAL TO SAMPLE LABEL 36 5. NOT IDENTICAL 11 9. NA 1036 0. Inap, 1994 cross-section ============================== VAR 940051 94PO: PANEL NAME DIFFERENT COLUMNS 141 - 141 NUMERIC MISSING 0 OR GE 9 (PANEL) NAME DIFFERENT MARKED ----------------------------- 30 1. YES 6 5. NO 9. NA 1759 0. Inap, 1994 cross-section ============================== VAR 940052 94PO: PANEL SEX DIFFERENT COLUMNS 142 - 142 NUMERIC MISSING 0 OR GE 9 (PANEL) SEX DIFFERENT MARKED ---------------------------- 1. YES 36 5. NO 9. NA 1759 0. Inap, 1994 cross-section ============================== VAR 940053 94PO: PANEL AGE DIFFERENT COLUMNS 143 - 143 NUMERIC MISSING 0 OR GE 9 (PANEL) DIFFERENT BIRTH DATE MARKED ----------------------------------- 6 1. YES 30 5. NO 9. NA 1759 0. Inap, 1994 cross-section ============================== VAR 940054 94PO: CROSS # OF HU AT SAMPL ADDR COLUMNS 144 - 144 NUMERIC MISSING 0 OR GE 9 (CROSS-SECTION): NUMBER OF HOUSEHOLD UNITS AT SAMPLE LOCATION ----------------------------------------------------- 1022 1. One HU 3 2. Two HUs 1 3. Three HUs 10 9. NA 759 0. INAP, 1994 Panel ============================== VAR 940055 94PO: HH LISTING OBTAINED FROM COLUMNS 145 - 145 NUMERIC MISSING GE 9 (CROSS-SECTION) HOUSEHOLD LISTING OBTAINED FROM: ------------------------------------------------- For Panel respondents the data from 1992 was copied here. 1702 1. HU MEMBER 14 2. NEIGHBOR 3. APARTMENT MANAGER 3 4. LANDLORD 3 5. OBSERVATION 20 7. OTHER 53 9. NA ============================== VAR 940056 94PO: SELECTION TABLE COLUMNS 146 - 147 NUMERIC NOMISSING DATA CODES SELECTION TABLE --------------- The Selection Table is used to select a respondent from all household members who are eligible adults. (An eligible adult is a U.S. citizen who is 18 years of age or older by Election Day.) The Selection Table appears on the Coversheet below the Household Listing. After a complete listing of the HH is taken, each eligible adult is assigned a "Number" based on the criteria of gender and age [beginning with the oldest male as number 1, males are numbered by increments of 1 according to descending age; females are numbered by descending age starting with the number one higher than that assigned to the youngest male]. The interviewer then uses the Selection Table to determine the "Number" of the eligible adult to be interviewed. The Selection Table itself consists of 2 parallel columns. In the first column the interviewer circles the total number of eligible adults in the household; in the second column (same row) is identified the "Number" of the person who will be the respondent. There are 8 different Selection Tables used and they are randomly assigned. [Note that although only 8 tables are used, there are 12 codes in this variable because the 8 tables are used in cycles of 12; this procedure is used to equalize the probability of selection for each eligible adult]. A summary describing all 8 Selection Tables appears below. PERSONS PERSON SELECTED (person "Number") A B1 B2 C D E1 E2 F 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 2 2 2 3 1 1 1 2 2 3 3 3 4 1 1 2 2 3 3 4 4 5 1 2 2 2 4 3 5 5 6 or more 1 2 2 2 4 5 5 6 ============================== VAR 940057 94PO: R IS PERSON # COLUMNS 148 - 148 NUMERIC NOMISSING DATA CODES SELECTION TABLE: PERSON NUMBER SELECTED AS R -------------------------------------------- For panel respondents the data from 1992 was copied here. 1175 1. R is person numbered 1 543 2. R is person numbered 2 61 3. R is person numbered 3 13 4. R is person numbered 4 2 5. R is person numbered 5 6. R is person numbered 6 2 9. R is person numbered 9 ============================== VAR 940058 94PO: # OF ELIGIBLE ADULTS COLUMNS 149 - 149 NUMERIC MISSING GE 9 TOTAL NUMBER OF ELIGIBLE ADULTS IN HU: FROM HOUSEHOLD LISTING ----------------------------------------------------- For panel respondents the data from 1992 was copied here. 9. NA N=1795 MEAN=1.808757 ST.DEV=0.735115 MIN=1.000000 MAX=5.000000 ============================== VAR 940059 94PO: BELT CODE COLUMNS 150 - 150 NUMERIC NOMISSING DATA CODES BELT CODE - 1990 - NES ---------------------- For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. Coded according to the 1990 Census and 1990 Office of Management and Budget (OMB) definitions, 1990 census population reports and 1980 (since 1990 not available) maps showing "urban areas". 222 1. Central Cities (*) of the six largest (**) (population over 4,500,000) Consolidated Metropolitan Statistical Areas (CMSAs), plus 12 (***) of the 15 next largest CMSA/MSA (population over 2,000,000). This would include all 1980 National Sample Frame self-representing areas, plus Newark, NJ (as well as Self Representing (SRP) Nassau-Suffolk NY as part of the NYC CMSA) and Anaheim and Riverside CA (as part of the LA CMSA) plus three other non-self representing primary areas included within the "population over 2,000,000" definition (Miami-Fort Lauderdale, FL CMSA, Seattle-Tacoma, WA CMSA, and Phoenix, AZ MSA). 286 2. Central Cities of CMSAs and Metropolitan Statistical Areas (MSAs) with fewer than 2,000,000 population (exclusive of those in the twenty-one largest CMSA/MSAs--i.e., those listed above) 388 3. Suburbs (****) of the six largest CMSAs and 12 of the 15 next largest CMSA/MSAs. 338 4. Suburbs of all other CMSA/MSAs. 494 5. Adjacent Areas: includes all territory beyond the outer boundary of the suburban belt, but within fifty miles of the central business district of a central city. 66 6. Outlying Area: includes all territory more than fifty miles (*) Central Cities designated in Metropolitan Statistical Areas, 1990, U.S. Office of Management and Budget, Washington, DC (Jun 1990). (**) Statistical Abstract of the United States 1991, (111th Edition), U.S. Department of Commerce, Economics and Statistics Administration, Bureau of the Census, Table No. 38. "70 Largest Metropolitan Areas -- Racial and Hispanic Origin Populations: 1990" Pp 33. (***) Cleveland-Akron-Lorain, OH CMSA, Tampa-St Petersburg-Clearwater, FL CMSA and San Diego, CA MSA are not primary selections within the two-thirds SRC National Sample so do not occur in the 1992 NES data set. (****) Suburbs are defined as all "urbanized areas" in the Primary Area exclusive of the areas coded "1" and "2" above, plus the remainder of any county which includes a central city or parts of a central city. (NOTE: In the New England division where MSA boundaries do not follow county lines, it is necessary to limit this category to the SMSA part of a county which included a central city.) ============================== VAR 940060 94PO: 1990 POP IN 1000'S COLUMNS 151 - 154 NUMERIC MISSING 0 OR GE 9999 ACTUAL POPULATION OF FIRST INTERVIEW LOCATION - 1990 ---------------------------------------------------- For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. The actual 1990 population of the place of first interview was coded in thousands rounding to the nearest whole thousand. For Panel component, respondent may have moved since time of first interview in 1992. Actual number is coded 9999. 9,998,500 persons and over. 0000. Rural place, no defined census place, or census place with less than 500 persons. ============================== VAR 940061 94PO: SIZE OF PLACE COLUMNS 155 - 156 NUMERIC NOMISSING DATA CODES SIZE OF PLACE OF INTERVIEW - 1990 --------------------------------- For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. Coded according to the 1990 Census. The major objective of the Census Bureau in delineating urbanized areas is to provide a better separation of urban and rural population in the vicinity of large cities. An urbanized area consists of a central city or cities, and surrounding closely settled territory ("urban fringe"). Size of Place codes 21 and 41 include areas that are in the "urban fringe" but are not Census Places. Again, it should be noted that Panel respondents may have moved from place of first interview. The six largest CMSAs plus twelve of the fifteen next largest CMSA/MSAs (i.e., those coded 1 or 3 (possibly 5, rarely 6) on the Belt Code): 222 11. Central Cities (these would have been coded 1 on the Belt Code). Suburbs of the six largest CMSAs and twelve of the fifteen next largest CMSA/MSAs (coded 3 (sometimes 5 and rarely 6) on Belt Code): 36 20. Rural (including rural places with less than 2500 population) 97 21. 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census places) 112 22. 10,000-29,999 35 23. 30,000-49,999 119 24. 50,000-99,999 18 25. 100,000-149,999 5 26. 150,000-349,999 27. 350,000 and over, exclusive of cities coded 11 CMSA/MSAs with less than 2,000,000 population (exclusive of those in the six largest CMSAs and 12 of 15 next largest CMSA/MSAs) Central Cities in CMSA/MSAs with less than 2,000,000 population (coded 2 on Belt Code): 47 30. Under 50,000 (identified by OMB in 1990 as Central Cities) 47 31. 50,000-99,999 24 32. 100,000-149,999 85 33. 150,000-349,999 83 34. 350,000 and over Suburbs in CMSA/MSAs with less than 2,000,000 population (coded 4 (or 5 and rarely 6) on Belt Code): 139 40. Rural (including rural places with less than 2,500 population) 160 41. 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census Places) 50 42. 10,000-29,999 28 43. 30,000-49,999 17 44. 50,000-99,999 30 45. 100,000-149,999 5 46. 150,000 and over "NON-CMSA/PMSA/MSAs" Population of place, within these "non-MSA" areas, as reported in 1990 Census. 271 50. Rural (including places with less than 2,500 population) 73 51. 2,500-9,999 82 52. 10,000-29,999 10 53. 30,000-49,999 In a few cases, Non-MSA PSUs (based on the 1980 OMB SMSA definitions) contain areas which are now part of a 1990 PMSA or MSA (based on the June 1990 OMB definition). In these cases, the Size of Place Code for any SSUs (segments) within such areas are coded in the "40s" rather than in the "50s" as shown below. This occurred in El Dorado county, CA (the major part of the El Dorado/Alpine Co, CA PSU #82) which is now a part of the Sacramento, CA, MSA, and also for one SSU (segment) in the Gardner, MA (PSU #64) which is now a part of the Worcester, MA, MSA. ============================== VAR 940062 94PO: TRACT ED INDICATOR COLUMNS 157 - 157 NUMERIC NOMISSING DATA CODES 1980 CENSUS TRACT/ED FLAG ------------------------- For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. 1504 1. Was a Census Tract in 1980 when area segment was selected. 291 2. Was a Census Enumeration District in 1980 when area segment was selected. ============================== VAR 940063 94PO: 1994 SE STRATUM CODE COLUMNS 158 - 159 NUMERIC NOMISSING DATA CODES 1994 SAMPLING ERROR STRATUM CODE -------------------------------- For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. This code contains information for computing sampling errors for both combined cross-section/panel and panel-only analysis. See 1994 NES sample documentation in Appendix to the codebook or contact NES project staff or ISR's Sampling Section for further details. ============================== VAR 940064 94PO: 1994 SECU CODE COLUMNS 160 - 160 NUMERIC NOMISSING DATA CODES 1994 SECU (SAMPLING ERROR COMPUTATION UNIT) CODE ------------------------------------------------ For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. This code contains information for computing sampling errors for both combined cross-section/panel and for panel-only analysis. See 1994 NES sample documentation or contact NES project staff or ISR's Sampling Section for further details. ============================== VAR 940065 94PO: REGION 92 FOR PANEL COLUMNS 161 - 161 NUMERIC NOMISSING DATA CODES CENSUS REGION (1992) -------------------- This variable identifies the four major geographic regions on which the sample was stratified for the purpose of sample selection. (See Sampling Information in the Introduction.) For Panel respondents who moved since the 1992 Pre-election study, the Census Region corresponding to their original address was coded here. See V11 for Census Region of 1994 location. 277 1. Northeast (Connecticut, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania) 492 2. North Central (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, Ohio, Wisconsin) 658 3. South (Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Louisiana, Maryland, North Carolina, Tennessee, Texas, Virginia, West Virginia) 368 4. West (Arizona, California, Colorado, Oregon, Washington, Wyoming) ============================== VAR 940066 94PO: 1980 SMSA CODE COLUMNS 162 - 165 NUMERIC MISSING 0 1980 CENSUS SMSA CODE --------------------- For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. These SMSA codes were obtained from the Federal Information Processing Standard Publication, U.S. Department of Commerce, National Bureau of Standards. The 1980 SMSA Codes have for the most part been carried over by the Office of Management and Budget (OMB) to the 1990 Metropolitan Statistical Areas (MSA's). However, some MSA names and definitions have been modified by OMB to reflect shifts in population and changes in characteristics of areas. In the 1994 NES data, the 1980 SMSA codes have been retained for all parts of the MSA primary sampling units (PSU's). It should be remembered that, particularly in the case of PMSAs (which are part of consolidated areas (or CMSAs) some counties or county parts may in 1990 be defined by OMB as part of a different PMSA (a good example is Chicago, IL). It was felt that for NES analysis, to retain the older SMSA codes, which correspond to the 1980 sampling frame used for this sample, was most appropriate for all MSA or PMSA areas. In those areas designated "Non-SMSA" in our sample frame ("Non-MSA" on most of our documentation for 1992 NES), there are two PSUs (#464, Gardner, MA, and #482, El Dorado/Alpine, CA) in which some of the 1980 rural area has in 1990 met the requirements for inclusion in an MSA; in these cases the size of place code was modified to reflect this and the 1990 MSA number is indicated for the affected segments (segment 009 in Gardner, MA, used in both the 1994 cross-section and the 1994 panel, where Barre town--not associated with any SMSA in 1980--is now a part of the 1990 Worcester, MA, MSA, and all of the 1994 NES segments in El Dorado/Alpine, CA,-- i.e., cross-section segments 002, 004, 005, 007, 009 and 012 and panel segment 007 -- all in El Dorado county which is part of the 1990 Sacramento, CA, MSA.) 19 0360. Anaheim-Santa Ana-Garden Grove, CA 26 0520. Atlanta, GA 20 0560. Atlantic City, NJ 11 0720. Baltimore, MD 21 1000. Birmingham, AL 7 1120. Boston, MA 18 1280. Buffalo, NY 47 1600. Chicago, IL 22 1800. Columbus, GA-AL 34 1920. Dallas-Ft Worth, TX 16 2000. Dayton, OH 35 2080. Denver-Boulder, CO 20 2120. Des Moines, IA 34 2160. Detroit, MI 31 2400. Eugene-Springfield, OR 26 2760. Fort Wayne, IN 34 2840. Fresno, CA 32 3000. Grand Rapids, MI 13 3360. Houston, TX 42 3600. Jacksonville, FL 46 3760. Kansas City, MO-KS 27 3840. Knoxville, TN 37 3980. Lakeland-Winter Haven, FL 28 4480. Los Angeles-Long Beach, CA 16 4760. Manchester, NH 32 4880. McAllen-Pharr-Edinburgh, TX 14 5000. Miami, FL 23 5080. Milwaukee, WI 36 5120. Mpls-St Paul, MN-WI 20 5380. Nassau-Suffolk, NY 17 5480. New Haven-West Haven, CT 41 5600. New York, NY-NJ 39 5640. Newark, NJ 32 6160. Philadelphia, PA-NJ 89 6200. Phoenix, AZ 11 6280. Pittsburgh, PA 37 6760. Richmond, VA 45 6780. Riverside-San Bernardino, Ontario, CA 30 6920. Sacramento, CA (1990 MSA definition) 31 6960. Saginaw, MI 7 7040. St. Louis, MO-IL 16 7360. San Francisco-Oakland,CA 26 7600. Seattle-Everett, WA 20 8080. Steubenville-Wierton, OH-WV 54 8800. Waco, TX 50 8840. Washington, DC-MD-VA 21 9000. Wheeling, WV-OH 6 9240. Worcester, MA (1990 MSA definition) 437 0000. INAP; location not in SMSA (MSA) ============================== VAR 940067 94PO: 1980 SCSA CODE COLUMNS 166 - 167 NUMERIC MISSING 0 CENSUS 1990 CONSOLIDATED METROPOLITAN STATISTICAL AREA CODES ------------------------------------------------------------ For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. The 1990 Consolidated Metropolitan Statistical Area (CMSA) codes are in most cases identical to the 1980 SCSA codes with the exceptions noted in parenthesis: In addition to the major changes noted, minor changes in SCSA and CMSA names have also occurred between 1980 and 1990. The six largest CMSA's are marked with **. 7 07. Boston-Lawrence-Salem MA-NH 18 10. Buffalo-Niagara Falls NY 47 14. Chicago-Gary-Lake County IL-IN-WI** 34 31. Dallas-Ft Worth TX (Since Dallas and Ft Worth were made separate PMSAs in 1990, this new CMSA was added in 1990) 35 34. Denver-Boulder CO (Since Denver and Boulder were made separate PMSAs in 1990, this new CMSA was added in 1990) 34 35. Detroit-Ann Arbor MI** 13 42. Houston-Galveston-Brazoria TX 92 49. Los Angeles-Anaheim-Riverside CA** 14 56. Miami-Fort Lauderdale FL 23 63. Milwaukee-Racine WI 100 70. New York-Northern New Jersey-Long Island NY-NJ-CT** 32 77. Philadelphia-Wilmington-Trenton PA-NJ-DE-MD** 11 78. Pittsburgh-Beaver Valley PA 16 84. San Francisco-Oakland-San Jose CA** 26 91. Seattle-Tacoma WA 1294 00. INAP; Location not in CMSA. This includes old code 32 (Dayton Springfield, OH) which is no longer consolidated in 1990 since Dayton and Springfield are combined in a single MSA in 1990). ============================== VAR 940068 94PO: OBTAINED Rs NAME COLUMNS 168 - 168 NUMERIC MISSING GE 9 RECONTACT: WAS R's NAME OBTAINED ("What is your full legal name as it appears on official documents such as your voter's registration, Social Security card or driver's license?") ---------------------------------------------------------- 1787 1. Name obtained 8 5. Name not obtained 9. NA ============================== VAR 940069 94PO: IS RECONTACT ADDRESS SAME COLUMNS 169 - 169 NUMERIC MISSING GE 9 RECONTACT: INTERVIEWER CHECKPOINT: Is address given by R the same as the address printed in the sample label? ------------------------------------------------------------ 1308 1. Identical address printed on sample address 286 2. Same address as printed on sample label, but with minor corrections 127 3. Entirely different address from sample label 63 4. P.O. Box for sample label 11 9. NA ============================== VAR 940070 94PO: RECONTACT ADDRESS DIFF HOW COLUMNS 170 - 170 NUMERIC MISSING 0 OR GE 9 RECONTACT: IF ADDRESS GIVEN BY R IS DIFFERENT FROM SAMPLE LABEL: "Is this an address you will be moving to, a relative's address, the address of a friend, a business address, or what?" ---------------------------------------------------------- 54 1. Mailing address 59 2. Address to which R has moved or is moving 3 3. Relative 4. Friend 3 5. Business 7 7. Other 1 9. NA 1668 0. INAP, address not different or NA if different from sample label (1,2,4,9 in V69) ============================== VAR 940071 94PO: OBTAINED PHONE # COLUMNS 171 - 171 NUMERIC MISSING GE 9 RECONTACT: WAS R'S PHONE NUMBER OBTAINED? ("And what is your telephone number?)" -------------------------------------------------------- 1695 1. Telephone number obtained 79 5. R has no phone 17 7. Phone number refused 4 9. NA ============================== VAR 940072 94PO: PHONE LISTED IN DIRECTORY COLUMNS 172 - 172 NUMERIC MISSING 0 OR GE 8 RECONTACT: "Is your phone number listed in the current telephone directory?" ------------------------------------------------------- 1277 1. Yes, listed 398 5. No, not listed 13 8. Not sure, don't know 7 9. NA 100 0. INAP, R has no phone or phone number refused/NA (5,7,9 in V71) ============================== VAR 940073 94PO: PHONE LISTED IN Rs NAME COLUMNS 173 - 173 NUMERIC MISSING 0 OR GE 8 RECONTACT: "Is your phone listed in your name?" ----------------------------------------------- 844 1. Yes (listed in R's name) 429 5. No (not listed in R's name) 8. Not sure 4 9. NA 518 0. INAP, R has no phone or phone number refused/NA (5,7,9 in V71); number not listed/DK/NA if listed (5,8,9 in V72) ============================== VAR 940074 94PO: OTHER RESIDENCE COLUMNS 174 - 174 NUMERIC MISSING GE 9 RECONTACT: "Do you have another place of residence or somewhere else you live during different times of the year?" ------------------------------------------------------------ 69 1. Yes (R has another residence) 1683 5. No (no other residence) 43 9. NA ============================== VAR 940075 94PO: CONTACT ADDRESS GIVEN COLUMNS 175 - 175 NUMERIC MISSING GE 9 RECONTACT: "If for any reason we should have difficulty contacting you, could you give me the name, address, and telephone number of two close friends or relatives who do not live with you and will know how to get in touch with you?" --------------------------------------------------------- 427 1. R gave contact information 1346 2. R did not give contact information 22 9. NA ============================== VAR 940076 94PO: PROBLEM TO INTERVIEW PHONE COLUMNS 176 - 176 NUMERIC MISSING GE 9 RECONTACT COMPLETED BY INTERVIEWER DURING POST-EDIT: Assuming we have or could obtain a telephone number for this respondent, is there any reason (e.g. hearing problem, illness) why we should not conduct an interview with this person by phone? ------------------------------------------------------------ 93 1. Yes (reason exists) 1620 5. No (no reason exists) 82 9. NA ============================== VAR 940077 94PO: TYPE OF HU COLUMNS 177 - 177 NUMERIC MISSING GE 9 CONTACT DESCRIPTION: DESCRIBE THE TYPE OF STRUCTURE IN WHICH THE RESPONDENT LIVES (SAMPLE ADDRESS) [completed by IWR] ---------------------------------------------------------- 104 1. Mobile home 1174 2. Detached single family 80 3. Multi family 282 4. Apartment house 42 5. Condo complex 79 7. Other 33 9. NA ============================== VAR 940078 94PO: WAS THERE GATEKEEPER COLUMNS 178 - 178 NUMERIC MISSING GE 9 CONTACT DESCRIPTION: IS THERE A BUILDING MANAGER, SECURITY GUARD, OR OTHER GATEKEEPER WHOSE COOPERATION YOU NEED IN ORDER TO GAIN ACCESS TO THE R'S HOUSING UNIT? [completed by IWR] ----------------------------------------------------------- 52 1. Yes 44 2. No, but the building is locked/subdivision is gated or locked 1656 5. No 43 9. NA ============================== VAR 940079 94PO: GATEKEEPER DESCRIPTION COLUMNS 179 - 179 NUMERIC MISSING 0 OR GE 9 CONTACT DESCRIPTION: (IF BUILDING MANAGER/GUARD/GATEKEEPER): CHECK THE BOX WHICH BEST DESCRIBES THE SITUATION. [completed by IWR] ---------------------------------------------------- 5 1. Building manager or other gatekeeper must let you in the building (on the grounds, into the mobile home park) but then you are free to attempt contact with R's HU 24 2. Building manager/other gatekeeper must get permission from someone in R's HU before you are allowed to make contact with the household 66 7. Other (describe situation) 1 9. NA 1699 0. INAP, 5,9 in V78 ============================== VAR 940080 94PO: WHO WAS CONTACTED AT HU COLUMNS 180 - 180 NUMERIC MISSING 0 PANEL SUMMARY 1992,1993,1994: WHEN RS MOVED -------------------------------------------- This summarizes knowledge about Panel respondents before the 1994 interviewing period began. Code 1 includes cases coded 3 in V22. 77 1. R moved before the 93 Pilot study, new address known 62 2. R moved between the 93 Pilot and the 94 Post, new address known 20 3. R moved both before and after the 93 Pilot 3 5. R moved before the 93 Pilot, new address unknown 10 6. R moved between 93 and 94 Studies, new address unknown 1623 0. No indication of R moving before start of 1994 interviewing period; 1994 cross-section ============================== VAR 940081 94PO: INITIAL REFUSAL? COLUMNS 181 - 181 NUMERIC MISSING GE 9 CONTACT DESCRIPTION: DID R REFUSE INITIALLY? [completed by IWR] ----------------------------------------------------------- 245 1. Yes 1517 5. No 33 9. NA ============================== VAR 940082 94PO: BREAK APPOINTMENT COLUMNS 182 - 182 NUMERIC MISSING GE 9 CONTACT DESCRIPTION: DID R BREAK ANY APPOINTMENT? [completed by IWR] -------------------------------------------------- 1471 0. None 222 1. One 72 2. Two or more 30 9. NA ============================== VAR 940083 94PO: WAS THERE RESISTANCE COLUMNS 183 - 183 NUMERIC MISSING GE 9 Was there resistance from this person? -------------------------------------- 373 1. Yes 1395 5. No 27 9. NA ============================== VAR 940084 94PO: WASTE OF TIME COLUMNS 184 - 184 NUMERIC MISSING 0 OR GE 9 CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (A) ...SURVEYS WASTE OF TIME; PREVIOUS BAD EXPERIENCE. [completed by IWR] ---------------------------------------------------------- 30 1. Marked 340 5. Not marked 3 9. NA 1422 0. Inap, 5, 9 in 83 ============================== VAR 940085 94PO: VERY ILL COLUMNS 185 - 185 NUMERIC MISSING 0 OR GE 9 CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (B) ... VERY ILL. [completed by IWR] ---------------------------------------------------------- 23 1. Marked 346 5. Not marked 3 9. NA 1422 0. Inap, 5, 9 in 83 ============================== VAR 940086 94PO: TOO BUSY COLUMNS 186 - 186 NUMERIC MISSING 0 OR GE 9 CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (C) ... 'TOO BUSY'. [completed by IWR] ---------------------------------------------------------- 183 1. Marked 187 5. Not marked 3 9. NA 1422 0. Inap, 5, 9 in 83 ============================== VAR 940087 94PO: DIFFICULT FAMLY SITUATION COLUMNS 187 - 187 NUMERIC MISSING 0 OR GE 9 CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (D) ... STRESSFUL FAMILY SITUATION. [completed by IWR] ---------------------------------------------------------- 28 1. Marked 342 5. Not marked 3 9. NA 1422 0. Inap, 5, 9 in 83 ============================== VAR 940088 94PO: CONFIDENTIALITY COLUMNS 188 - 188 NUMERIC MISSING 0 OR GE 9 CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (E) ... CONFIDENTIALITY. [completed by IWR] ---------------------------------------------------------- 17 1. Marked 353 5. Not marked 3 9. NA 1422 0. Inap, 5, 9 in 83 ============================== VAR 940089 94PO: PRIVACY COLUMNS 189 - 189 NUMERIC MISSING 0 OR GE 9 CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (F) ... INVASION OF PRIVACY. [completed by IWR] ---------------------------------------------------------- 29 1. Marked 341 5. Not marked 3 9. NA 1422 0. Inap, 5, 9 in 83 ============================== VAR 940090 94PO: NO SPECIAL REASON COLUMNS 190 - 190 NUMERIC MISSING 0 OR GE 9 CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (G) ... NOT SPECIFIED, JUST UNWILLINGNESS. [completed by IWR] ---------------------------------------------------------- 74 1. Marked 296 5. Not marked 3 9. NA 1422 0. Inap, 5, 9 in 83 ============================== VAR 940091 94PO: OTHER REASON COLUMNS 191 - 191 NUMERIC MISSING 0 OR GE 9 CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (H) ... OTHER (SPECIFY). [completed by IWR] ---------------------------------------------------------- 150 1. Marked 220 5. Not marked 3 9. NA 1422 0. Inap, 5, 9 in 83 ============================== VAR 940092 94PO: REFUSAL CONVERSION INDICATOR COLUMNS 192 - 192 NUMERIC NOMISSING DATA CODES REFUSAL CONVERSION INDICATOR ---------------------------- This refers to interviews initially refused by the respondent. 244 1. Refusal conversion attempted 1551 5. Not a refusal conversion situation. ============================== VAR 940093 94PO: PERSUASION LETTER SENT COLUMNS 193 - 193 NUMERIC NOMISSING DATA CODES WAS PERSUASION LETTER SENT? --------------------------- 130 1. A persuasion letter was sent to R 1665 2. No persuasion letter was sent. ============================== VAR 940094 94PO: PAYMENT AMOUNT COLUMNS 194 - 196 NUMERIC MISSING GE 999 AMOUNT OF PAYMENT FOR INTERVIEW ------------------------------- In selected cases supervisors authorized interviewers to offer payment to obtain R's cooperation. The actual dollar amount was coded here. Payments ranged from 0 to $40. 000. R was not paid 003. R was paid $3 040. R was paid $40 999. NA whether or not R was paid. N=1794 MEAN=2.503704 ST.DEV=6.441783 MIN=0 MAX=40.00000 ============================== VAR 940095 94PO: CHECK SENT/JAN95 COLUMNS 197 - 197 NUMERIC NOMISSING DATA CODES CHECK SENT -- during Jan 95. ---------------------------- In an effort to end the field period by no later than January 8 without compromising our production goal, a check for $25 and a letter were mailed to a few HU where the selected R had not refused outright to cooperate. 40 1. $25 check was sent 1755 5. No check was sent ============================== VAR 940096 94PO: VERIFICATION INDICATOR COLUMNS 198 - 198 NUMERIC NOMISSING DATA CODES VERIFICATION INDICATOR ---------------------- 1402 0. Not flagged for verification 14 1. Flagged for verification 364 2. Verified 6 3. Verified with discrepancy 4. Not verified 9 5. Unable to verify ============================== VAR 940097 94PO: EVALUATION INDICATOR COLUMNS 199 - 199 NUMERIC NOMISSING DATA CODES EVALUATION INDICATOR -------------------- 1388 0. Interview not evaluated 4 1. Interview evaluated by supervisor 403 2. Interview evaluated by team leader ============================== VAR 940098 94PO: INTERVIEW TAPED ALPHANUMERIC COLUMNS 200 - 200 CHARACTER MISSING GE 9 WAS INTERVIEW TAPE RECORDED --------------------------- 178 1. YES 1531 5. NO 85 9. NA ============================== VAR 940099 94PO: FIELD SUPERVISOR ID COLUMNS 201 - 204 NUMERIC NOMISSING DATA CODES 1994 FIELD SUPERVISOR ID ------------------------ Supervisor's 4-digit ID is entered, 2576-9958. ============================== VAR 940100 94PO: INTERVIEWER OF RECORD ID COLUMNS 205 - 208 NUMERIC NOMISSING DATA CODES INTERVIEWER ID -- interviewer of record --------------------------------------- Interviewer's 4-digit ID is entered, 1020-9666. ============================== VAR 940101 94PO: INTERVIEWER GENDER COLUMNS 209 - 209 NUMERIC NOMISSING DATA CODES INTERVIEWER'S GENDER -------------------- 75 1. Male 1720 2. Female ============================== VAR 940102 94PO: INTERVIEWER EDUCATION COLUMNS 210 - 210 NUMERIC NOMISSING DATA CODES INTERVIEWER'S EDUCATION ----------------------- 1. 1-8 years 2. Some High School 318 3. High School graduate 665 4. Some College 654 5. College graduate 158 6. Master's degree 7. PhD degree ============================== VAR 940103 94PO: INTERVIEWER RACE COLUMNS 211 - 211 NUMERIC MISSING GE 9 INTERVIEWER'S RACE ------------------ 1736 1. White 41 2. Black 3. Native American 9 4. Asian 7. Other 9 9. NA ============================== VAR 940104 94PO: INTERVIEWER ETHNICITY COLUMNS 212 - 212 NUMERIC NOMISSING DATA CODES INTERVIEWER'S ETHNICITY ----------------------- 1475 0. No ethnic identity coded 59 1. Hispanic 261 7. Other ============================== VAR 940105 94PO: INTERVIEWER LANGUAGES COLUMNS 213 - 213 NUMERIC NOMISSING DATA CODES LANGUAGES SPOKEN BY INTERVIEWER ------------------------------- 1605 0. English 111 1. Spanish 78 7. Other ============================== VAR 940106 94PO: INTERVIEWER YRS EXPER BRACK COLUMNS 214 - 215 NUMERIC NOMISSING DATA CODES INTERVIEWER'S YEARS OF EXPERIENCE -- up to November 1, 1994 ----------------------------------------------------------- 00. Less than one year . 28. Years N=1795 MEAN=3.217806 ST.DEV=3.597369 MIN=0 MAX=28.00000 ============================== VAR 940107 94PO: INTERVIEWER AGE BRACKETTED COLUMNS 216 - 216 NUMERIC NOMISSING DATA CODES INTERVIEWER'S AGE BRACKETED --------------------------- 78 1. 18-34 years 226 2. 35-40 257 3. 41-45 329 4. 46-50 140 5. 51-55 279 6. 56-60 209 7. 61-64 276 8. 65-79 ============================== VAR 940124 94PO: INTERS POLIT (A1.) COLUMNS 217 - 217 NUMERIC MISSING GE 8 Q.A1. In this interview I will be talking with you about the recent elections, as well as a number of other things. First, I have some questions about the political campaigns which took place this election year. Some people don't pay much attention to political campaigns. How about you? Would you say that you were very much interested, somewhat interested, or not much interested in following the political campaigns this year? ------------------------------------------------------------ 494 1. VERY MUCH INTERESTED 831 3. SOMEWHAT INTERESTED 450 5. NOT MUCH INTERESTED 8. DK 20 9. NA ============================== VAR 940125 94PO: READ PAPER (A2.) COLUMNS 218 - 218 NUMERIC MISSING GE 8 Q.A2. How many days in the past week did you read a daily newspaper? ------------------------------------------------------------ Code actual number of DAYS (1-7), except: 368 0. NONE 686 7. EVERY DAY; seven days 3 8. DON'T KNOW 3 9. NA ============================== VAR 940126 94PO: WATCH NEWS (A3.) COLUMNS 219 - 219 NUMERIC MISSING GE 8 Q.A3. How many days in the past week did you watch the news on TV? --------------------------------------------------------- Code actual number of DAYS (1-7), except: 139 0. NONE 998 7. EVERY DAY; seven days 2 8. DON'T KNOW 9. NA ============================== VAR 940127 94PO: LISTEN RADIO (A4.) COLUMNS 220 - 220 NUMERIC MISSING GE 8 Q.A4. How many days in the past week did you listen to the news on radio? --------------------------------------------------------- Code actual number of DAYS (1-7), except: 640 0. NONE 629 7. EVERY DAY; seven days 3 8. DON'T KNOW 1 9. NA ============================== VAR 940128 94PO: DISCUSS POLIT (A5.) COLUMNS 221 - 221 NUMERIC MISSING GE 8 Q.A5. Do you ever discuss politics with your family or friends? --------------------------------------------------------- 1374 1. YES 420 5. NO 1 8. DK 9. NA ============================== VAR 940129 94PO: TALK OFTEN (A5A.) COLUMNS 222 - 222 NUMERIC MISSING 0 OR GE 8 Q.A5a. (RB, P. 1), (Please look at P.1 of the gold booklet). How often do you discuss politics with your family or friends? Every day, 3 or 4 times a week, once or twice a week, or less often than that? ------------------------------------------------------------ 159 1. EVERY DAY 275 2. 3 OR 4 TIMES A WEEK 456 3. ONCE OR TWICE A WEEK 479 4. LESS OFTEN 1 5. R VOLUNTEERS: NEVER 1 8. DK 2 9. NA 421 0. Inap, 5, 8-9 in Q.A5 ============================== VAR 940130 94PO: TALK #DAYS (A5B.) COLUMNS 223 - 223 NUMERIC MISSING GE 8 Q.A5b. (Not using the booklet) How many days in the past week did you talk about politics with family or friends? ---------------------------------------------------------- Code NUMBER OF DAYS (1-7) 205 0. NONE 4 8. DON'T KNOW 440 9. NA; Inap, 5, 8-9 in QA5; 5 or 9 in Q.A5a ============================== VAR 940131 94PO: LIKE DEM PTY? (B1.) COLUMNS 224 - 224 NUMERIC MISSING GE 8 Q.B1. I'd like to ask you what you think are the good and bad points about the two national parties. Is there anything in particular that you like about the Democratic Party? ------------------------------------------------------------ 734 1. YES 977 5. NO 80 8. DK 4 9. NA ============================== VAR 940132 94PO: LIKE DEM PTY #1 (B1A.) COLUMNS 225 - 228 NUMERIC MISSING 0 Q.B1a. [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Democratic Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B1; no further mention ============================== VAR 940133 94PO: LIKE DEM PTY #2 (B1A.) COLUMNS 229 - 232 NUMERIC MISSING 0 Q.B1a(2). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Democratic Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B1; no further mention ============================== VAR 940134 94PO: LIKE DEM PTY #3 (B1A.) COLUMNS 233 - 236 NUMERIC MISSING 0 Q.B1a(3). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Democratic Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B1; no further mention ============================== VAR 940135 94PO: LIKE DEM PTY #4 (B1A.) COLUMNS 237 - 240 NUMERIC MISSING 0 Q.B1a(4). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Democratic Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B1; no further mention ============================== VAR 940136 94PO: LIKE DEM PTY #5 (B1A.) COLUMNS 241 - 244 NUMERIC MISSING 0 Q.B1a(5). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Democratic Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap 5, 8-9 in Q.B1; no further mention ============================== VAR 940137 94PO: DISLK DEM PTY? (B2.) COLUMNS 245 - 245 NUMERIC MISSING GE 8 Q.B2. Is there anything in particular that you don't like about the Democratic Party? ------------------------------------------------------------ 875 1. YES 862 5. NO 55 8. DK 3 9. NA ============================== VAR 940138 94PO: DISLK DEM PTY #1 (B2A.) COLUMNS 246 - 249 NUMERIC MISSING 0 Q.B2a. [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Democratic Party? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B2; no further mention ============================== VAR 940139 94PO: DISLK DEM PTY #2 (B2A.) COLUMNS 250 - 253 NUMERIC MISSING 0 Q.B2a(2). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Democratic Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B2; no further mention ============================== VAR 940140 94PO: DISLK DEM PTY #3 (B2A.) COLUMNS 254 - 257 NUMERIC MISSING 0 Q.B2a(3). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Democratic Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B2; no further mention ============================== VAR 940141 94PO: DISLK DEM PTY #4 (B2A.) COLUMNS 258 - 261 NUMERIC MISSING 0 Q.B2a(4). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Democratic Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B2; no further mention ============================== VAR 940142 94PO: DISLK DEM PTY #5 (B2A.) COLUMNS 262 - 265 NUMERIC MISSING 0 Q.B2a(5). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Democratic Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B2; no further mention ============================== VAR 940143 94PO: LIKE REPUB PTY? (B3.) COLUMNS 266 - 266 NUMERIC MISSING GE 8 Q.B3. Is there anything in particular that you like about the Republican Party? ------------------------------------------------------------ 793 1. YES 936 5. NO 62 8. DK 4 9. NA ============================== VAR 940144 94PO: LIKE REPUB PTY #1 (B3A.) COLUMNS 267 - 270 NUMERIC MISSING 0 Q.B3a. [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Republican Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B3; no further mention ============================== VAR 940145 94PO: LIKE REPUB PTY #2 (B3A.) COLUMNS 271 - 274 NUMERIC MISSING 0 Q.B3a(2). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Republican Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B3; no further mention ============================== VAR 940146 94PO: LIKE REPUB PTY #3 (B3A.) COLUMNS 275 - 278 NUMERIC MISSING 0 Q.B3a(3). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Republican Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B3; no further mention ============================== VAR 940147 94PO: LIKE REPUB PTY #4 (B3A.) COLUMNS 279 - 282 NUMERIC MISSING 0 Q.B3a(4). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Republican Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B3; no further mention ============================== VAR 940148 94PO: LIKE REPUB PTY #5 (B3A.) COLUMNS 283 - 286 NUMERIC MISSING 0 Q.B3a(5). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Republican Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B3; no further mention ============================== VAR 940149 94PO: DISLK REPUB PTY? (B4.) COLUMNS 287 - 287 NUMERIC MISSING GE 8 Q.B4. Is there anything in particular that you don't like about the Republican Party? ------------------------------------------------------------ 809 1. YES 939 5. NO 45 8. DK 3 9. NA ============================== VAR 940150 94PO: DISLK REPUB PTY #1 (B4A.) COLUMNS 288 - 291 NUMERIC MISSING 0 Q.B4a. [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Republican Party? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B4; no further mention ============================== VAR 940151 94PO: DISLK REPUB PTY #2 (B4A.) COLUMNS 292 - 295 NUMERIC MISSING 0 Q.B4a(2). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Republican Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B4; no further mention ============================== VAR 940152 94PO: DISLK REPUB PTY #3 (B4A.) COLUMNS 296 - 299 NUMERIC MISSING 0 Q.B4a(3). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Republican Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B4; no further mention ============================== VAR 940153 94PO: DISLK REPUB PTY #4 (B4A.) COLUMNS 300 - 303 NUMERIC MISSING 0 Q.B4a(4). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Republican Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B4; no further mention ============================== VAR 940154 94PO: DISLK REPUB PTY #5 (B4A.) COLUMNS 304 - 307 NUMERIC MISSING 0 Q.B4a(5). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Republican Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B4; no further mention ============================== VAR 940201 94PO: APP/DIS CLINTON (B5.) COLUMNS 308 - 308 NUMERIC MISSING GE 8 Q.B5. Do you approve or disapprove of the way Bill Clinton is handling his job as president? ----------------------------------------------------- 868 1. APPROVE 825 5. DISAPPROVE 88 8. DON'T KNOW 14 9. NA ============================== VAR 940202 94PO: APP/DIS CLINTON SCALE (B5A/B5B.) COLUMNS 309 - 309 NUMERIC MISSING 0 OR GE 8 Q.B5a. Do you approve strongly or not strongly? Q.B5b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 322 1. STRONGLY APPROVE 541 2. NOT STRONGLY APPROVE 324 4. NOT STRONGLY DISAPPROVE 498 5. STRONGLY DISAPPROVE 3 8. DK 5 9. NA 103 0. Inap, 8-9 in Q.B5 ============================== VAR 940203 94PO: APP/DIS CLINTON ECON (B6.) COLUMNS 310 - 310 NUMERIC MISSING GE 8 Q.B6. Do you approve or disapprove of the way Bill Clinton is handling the economy? ----------------------------------------------------- 867 1. APPROVE 792 5. DISAPPROVE 131 8. DON'T KNOW 6 9. NA ============================== VAR 940204 94PO: CLINTON A/D ECON SCALE (B6A/B6B.) COLUMNS 311 - 311 NUMERIC MISSING 0 OR GE 8 Q.B6a. Do you approve strongly or not strongly? Q.B6b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 333 1. STRONGLY APPROVE 532 2. NOT STRONGLY APPROVE 330 4. NOT STRONGLY DISAPPROVE 458 5. STRONGLY DISAPPROVE 8. DK 6 9. NA 137 0. Inap, 8-9 in Q.B6 ============================== VAR 940205 94PO: APP/DIS CLINTON FORGN POL (B7.) COLUMNS 312 - 312 NUMERIC MISSING GE 8 Q.B7. Do you approve or disapprove of the way Bill Clinton is handling our relations with foreign countries? --------------------------------------------------------- 916 1. APPROVE 744 5. DISAPPROVE 129 8. DON'T KNOW 5 9. NA ============================== VAR 940206 94PO: CLINTON A/D FORGN SCALE (B7A/B7B.) COLUMNS 313 - 313 NUMERIC MISSING 0 OR GE 8 Q.B7a. Do you approve strongly or not strongly? Q.B7b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 439 1. STRONGLY APPROVE 473 2. NOT STRONGLY APPROVE 264 4. NOT STRONGLY DISAPPROVE 475 5. STRONGLY DISAPPROVE 3 8. DK 6 9. NA 134 0. Inap, 8-9 in Q.B7 ============================== VAR 940207 94PO: APP/DIS CLINTON HLTH CARE (B8.) COLUMNS 314 - 314 NUMERIC MISSING GE 8 Q.B8. Do you approve or disapprove of the way Bill Clinton is handling health care reform? ----------------------------------------------------- 598 1. APPROVE 1058 5. DISAPPROVE 134 8. DON'T KNOW 4 9. NA ============================== VAR 940208 94PO: CLINTON A/D HLTH SCALE (B8A/B8B.) COLUMNS 315 - 315 NUMERIC MISSING 0 OR GE 8 Q.B8a. Do you approve strongly or not strongly? Q.B8b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 327 1. STRONGLY APPROVE 270 2. NOT STRONGLY APPROVE 252 4. NOT STRONGLY DISAPPROVE 803 5. STRONGLY DISAPPROVE 3 8. DK 1 9. NA 138 0. Inap, 8-9 in Q.B8 ============================== VAR 940209 94PO: CARE HOUSE RACE OUTCOME (B9.) COLUMNS 316 - 316 NUMERIC MISSING GE 8 Q.B9. As you know, representatives to Congress in Washington were chosen in this election from congressional districts all around the country. How much would you say that you personally cared about the way the election to the U.S. House of Representatives came out: did you care very much, pretty much, not very much, or not at all? ----------------------------------------------------------- 476 1. VERY MUCH 573 2. PRETTY MUCH 499 4. NOT VERY MUCH 223 5. NOT AT ALL 19 8. DK 6 9. NA ============================== VAR 940210 94PO: HSE RECALL? (B10.) COLUMNS 317 - 317 NUMERIC MISSING GE 9 Q.B10. Do you happen to remember the names of the candidates for Congress--that is, for the House of Representatives in Washington--who ran in this district this November? ------------------------------------------------------------ 758 1. YES 1034 5. NO 3 9. NA ============================== VAR 940211 94PO: #1 RECALL HOUSE - CODE (B10A.) COLUMNS 318 - 319 NUMERIC MISSING 0 OR GE 98 Q.B10a(1). Who were they? <1st mention> (PROBE: Any others?) ---------------------------------------------------- Precoded by interviewer If a senator, senatorial candidate, or gubernatorial candidate was mentioned at Q.B10a, the senator or senatorial candidate (#11-19, 27-29) or gubernatorial candidate (#51-56) was coded. Built variables Q.B10aa (code 7) and Q.B10x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." Senatorial Candidates or Senators Mentioned: 10. INDEPENDENT OR MINOR PARTY SENATE CANDIDATE 14 11. DEMOCRATIC CANDIDATE TO SENATE 29 12. REPUBLICAN CANDIDATE TO SENATE 40 13. DEMOCRATIC INCUMBENT TO SENATE 9 14. REPUBLICAN INCUMBENT TO SENATE 2 15. DEMOCRATIC CHALLENGER TO SENATE 7 16. REPUBLICAN CHALLENGER TO SENATE 1 17. DEMOCRATIC SENATOR 1 [NO RACE] 1 18. REPUBLICAN SENATOR 1 [NO RACE] 4 19. DEMOCRATIC SENATOR NOT UP 5 29. REPUBLICAN SENATOR NOT UP 27. DEMOCRATIC SENATOR 2 [NO RACE] 1 28. REPUBLICAN SENATOR 2 [NO RACE] For Districts with No Running Incumbents: 30. THIRD PARTY OR INDEPENDENT HOUSE CANDIDATE 30 31. DEMOCRATIC CANDIDATE 44 32. REPUBLICAN CANDIDATE 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT For Districts with Running Incumbent Representative: 30. THIRD PARTY OR INDEPENDENT HOUSE CANDIDATE 265 33. DEMOCRATIC INCUMBENT 172 34. REPUBLICAN INCUMBENT 15 35. DEMOCRATIC CHALLENGER 29 36. REPUBLICAN CHALLENGER Gubernatorial Candidates Mentioned: 50. MINOR PARTY OR INDEPENDENT GUBERNATORIAL CANDIDATE 1 51. DEMOCRATIC CANDIDATE IN OPEN RACE 2 52. REPUBLICAN CANDIDATE IN OPEN RACE 53. DEMOCRATIC INCUMBENT RUNNING FOR RE-ELECTION 1 54. REPUBLICAN INCUMBENT RUNNING FOR RE-ELECTION 2 55. DEMOCRATIC CHALLENGER 2 56. REPUBLICAN CHALLENGER 1 57. DEMOCRATIC INCUMBENT NOT UP 58. REPUBLICAN INCUMBENT NOT UP 65 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 7 98. DK 11 99. NA 1037 00. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR 940212 94PO: #1 RECALL HOUSE - PTY (B10B.) COLUMNS 320 - 320 NUMERIC MISSING 0 OR GE 8 Q.B10b(1). (ASK FOR EACH NAME IN B10a) What was (NAME's) party? --------------------------------------------------------- 393 1. DEMOCRATIC 304 5. REPUBLICAN 1 7. OTHER PARTY; SPECIFY 34 8. DK 26 9. NA 1037 0. Inap, 5 or 9 in Q.B10; no further mention ============================== VAR 940213 94PO: #1 RECALL HOUSE - SUMM (B10AA.) COLUMNS 321 - 321 NUMERIC MISSING 0 OR GE 9 Q.B10aa(1). Who were they? <1st mention> ----------------------------------------- Built from Q.B10a(1) 310 1. DEMOCRATIC CANDIDATE (31, 33, 35) 245 2. REPUBLICAN CANDIDATE (32, 34, 36) 3. THIRD PARTY/INDEPENDENT CANDIDATE (30) 186 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (11-19, 27-29, 41-42, 51-58, 97) 7 8. DON'T KNOW NAME BUT KNOW PARTY (98) 11 9. NA (99) 1037 0. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR 940214 94PO: #1 RECALL HOUSE - ACCURACY (B10X.) COLUMNS 322 - 322 NUMERIC MISSING 0 OR GE 9 Q.B10x(1). Respondent's knowledge of the names and parties of candidates running in the Congressional race for R's district ----------------------------------------------------------- Built from Q.B10a(1) & Q.B10b(1) 500 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 25 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 30 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 165 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 21 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 9 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 6 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 3 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 1037 0. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR 940215 94PO: #2 RECALL HOUSE - CODE (B10A.) COLUMNS 323 - 324 NUMERIC MISSING 0 OR GE 98 Q.B10a(2). Who were they? <2nd mention> (PROBE: Any others?) ---------------------------------------------------- Precoded by interviewer If a senator, senatorial candidate, or gubernatorial candidate was mentioned at Q.B10a, the Senator or senatorial candidate (#11-16,19, 27-29) or gubernatorial candidate (#51-56) was coded. Built variables Q.B10aa (code 7) and Q.B10x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." Senatorial Candidates or Senators Mentioned: 2 10. INDEPENDENT OR MINOR PARTY CANDIDATE TO SENATE 12 11. DEMOCRATIC CANDIDATE TO SENATE 7 12. REPUBLICAN CANDIDATE TO SENATE 11 13. DEMOCRATIC INCUMBENT TO SENATE 6 14. REPUBLICAN INCUMBENT TO SENATE 1 15. DEMOCRATIC CHALLENGER TO SENATE 15 16. REPUBLICAN CHALLENGER TO SENATE 1 17. DEMOCRATIC SENATOR 1 [NO RACE] 1 18. REPUBLICAN SENATOR 1 [NO RACE] 5 19. DEMOCRATIC SENATOR NOT UP 10 29. REPUBLICAN SENATOR NOT UP 27. DEMOCRATIC SENATOR 2 [NO RACE] 1 28. REPUBLICAN SENATOR 2 [NO RACE] For Districts with No Running Incumbents: 30. THIRD PARTY OR INDEPENDENT HOUSE CANDIDATE 37 31. DEMOCRATIC CANDIDATE 32 32. REPUBLICAN CANDIDATE 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT For Districts with Running Incumbent Representative: 30. THIRD PARTY OR INDEPENDENT HOUSE CANDIDATE 33 33. DEMOCRATIC INCUMBENT 21 34. REPUBLICAN INCUMBENT 37 35. DEMOCRATIC CHALLENGER 104 36. REPUBLICAN CHALLENGER Gubernatorial Candidates Mentioned: 50. MINOR PARTY OR INDEPENDENT GUBERNATORIAL CANDIDATE 51. DEMOCRATIC CANDIDATE IN OPEN RACE 52. REPUBLICAN CANDIDATE IN OPEN RACE 53. DEMOCRATIC INCUMBENT RUNNING FOR RE-ELECTION 1 54. REPUBLICAN INCUMBENT RUNNING FOR RE-ELECTION 1 55. DEMOCRATIC CHALLENGER 56. REPUBLICAN CHALLENGER 57. DEMOCRATIC INCUMBENT NOT UP 58. REPUBLICAN INCUMBENT NOT UP 65 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 18 98. DK 17 99. NA 1357 00. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR 940216 94PO: #2 RECALL HOUSE - PTY (B10B.) COLUMNS 325 - 325 NUMERIC MISSING 0 OR GE 8 Q.B10b(2). (ASK FOR EACH NAME IN B10a) What was (NAME's) party? --------------------------------------------------------- 173 1. DEMOCRATIC 227 5. REPUBLICAN 7 7. OTHER PARTY; SPECIFY 17 8. DK 15 9. NA 1357 0. Inap, 5 or 9 in Q.B10; no further mention ============================== VAR 940217 94PO: #2 RECALL HOUSE - SUMM (B10AA.) COLUMNS 326 - 326 NUMERIC MISSING 0 OR GE 8 Q.B10aa(2). Who were they? <2nd mention> ---------------------------------------- Built from Q.B10a(2) 106 1. DEMOCRATIC CANDIDATE (31, 33, 35) 157 2. REPUBLICAN CANDIDATE (32, 34, 36) 3. THIRD PARTY/INDEPENDENT CANDIDATE (30) 140 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (11-19, 27-29, 41-42, 51-58, 97) 18 8. DON'T KNOW NAME BUT KNOW PARTY (98) 17 9. NA (99) 1357 0. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR 940218 94PO: #2 RECALL HOUSE - ACCURACY (B10X.) COLUMNS 327 - 327 NUMERIC MISSING 0 OR GE 9 Q.B10x(2). Respondent's knowledge of the names and parties of candidates running in the Congressional race for R's district ----------------------------------------------------------- Built from Q.B10a(2) & Q.B10b(2) 243 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 11 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 10 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 126 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 14 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 27 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 1 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 1357 0. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR 940219 94PO: #3 RECALL HOUSE - CODE (B10A.) COLUMNS 328 - 329 NUMERIC MISSING 0 OR GE 98 Q.B10a(3). Who were they? <3rd mention> (PROBE: Any others?) ---------------------------------------------------- If a senator, senatorial candidate or gubernatorial candidate was mentioned at Q.B10a, the senator or senatorial candidate (#11-19, 27-29) or gubernatorial candidate (#51-56) was coded. Built variables Q.B10aa (code 7) and Q.B10x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." Senatorial Candidates or Senators Mentioned: 10. INDEPENDENT OR MINORITY PARTY CHALLENGER TO SENATE 5 11. DEMOCRATIC CANDIDATE TO SENATE 1 12. REPUBLICAN CANDIDATE TO SENATE 1 13. DEMOCRATIC INCUMBENT TO SENATE 4 14. REPUBLICAN INCUMBENT TO SENATE 2 15. DEMOCRATIC CHALLENGER TO SENATE 3 16. REPUBLICAN CHALLENGER TO SENATE 1 17. DEMOCRATIC SENATOR 1 [NO RACE] 18. REPUBLICAN SENATOR 1 [NO RACE] 1 19. DEMOCRATIC SENATOR NOT UP 29. REPUBLICAN SENATOR NOT UP 27. DEMOCRATIC SENATOR 2 [NO RACE] 28. REPUBLICAN SENATOR 2 [NO RACE] For Districts with No Running Incumbents: 30. THIRD PARTY OR INDEPENDENT HOUSE CANDIDATE 31. DEMOCRATIC CANDIDATE 2 32. REPUBLICAN CANDIDATE 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT For Districts with Running Incumbent Representative: 30. THIRD PARTY OR INDEPENDENT HOUSE CANDIDATE 4 33. DEMOCRATIC INCUMBENT 3 34. REPUBLICAN INCUMBENT 35. DEMOCRATIC CHALLENGER 2 36. REPUBLICAN CHALLENGER Gubernatorial Candidates Mentioned: 50. MINOR PARTY OR INDEPENDENT GUBERNATORIAL CANDIDATE 51. DEMOCRATIC CANDIDATE IN OPEN RACE 52. REPUBLICAN CANDIDATE IN OPEN RACE 53. DEMOCRATIC INCUMBENT RUNNING FOR RE-ELECTION 1 54. REPUBLICAN INCUMBENT RUNNING FOR RE-ELECTION 55. DEMOCRATIC CHALLENGER 56. REPUBLICAN CHALLENGER 57. DEMOCRATIC INCUMBENT NOT UP 58. REPUBLICAN INCUMBENT NOT UP 22 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 1 98. DK 5 99. NA 1737 00. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR 940220 94PO: #3 RECALL HOUSE - PTY (B10B.) COLUMNS 330 - 330 NUMERIC MISSING 0 OR GE 8 Q.B10b(3). (ASK FOR EACH NAME IN B10a) What was (NAME's) party? --------------------------------------------------------- 22 1. DEMOCRATIC 22 5. REPUBLICAN 4 7. OTHER PARTY; SPECIFY 4 8. DK 6 9. NA 1737 0. Inap, 5 or 9 in Q.B10; no further mention ============================== VAR 940221 94PO: #3 RECALL HOUSE - SUMM (B10AA.) COLUMNS 331 - 331 NUMERIC MISSING 0 OR GE 8 Q.B10aa(3). Who were they? <3rd mention> ---------------------------------------- Built from Q.B10a(3) 4 1. DEMOCRATIC CANDIDATE (31, 33, 35) 7 2. REPUBLICAN CANDIDATE (32, 34, 36) 3. THIRD PARTY/INDEPENDENT CANDIDATE (30) 41 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (11-19, 27-29, 41-42, 51-58, 97) 1 8. DON'T KNOW NAME BUT KNOW PARTY (98) 5 9. NA (99) 1737 0. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR 940222 94PO: #3 RECALL HOUSE - ACCURACY (B10X.) COLUMNS 332 - 332 NUMERIC MISSING 0 OR GE 9 Q.B10x(3). Respondent's knowledge of the names and parties of candidates running in the Congressional race for R's district ----------------------------------------------------------- Built from Q.B10a(3) & Q.B10b(3) 9 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 2 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 35 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 6 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 4 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 1 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 1 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 1737 0. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR 940223 94PO: FEEL THERM-CLINTON (B11A.) COLUMNS 333 - 335 NUMERIC MISSING GE 997 Q.B11. (RB, P. 2) I'd like to get your feelings toward some of our political leaders and other people who have been in the news. I'll read the name of a person and I'd like you to rate that person using something called the feeling thermometer. You can choose any number between 0 and 100. The higher the number, the warmer or more favorable you feel toward that person; the lower the number, the colder or less favorable. You would rate the person at the 50 degree mark if you feel neither warm nor cold toward them. If we come to a person whose name you don't recognize, you don't need to rate that person. Just tell me and we'll move on to the next one. Our first person is Bill Clinton. Using the thermometer, how would you rate Bill Clinton? PROBE FOR "I DON'T KNOW" RESPONSE: When you say "don't know" do you mean that you don't know who the person is, or do you have something else in mind? Q.B11a. BILL CLINTON ------------------------------------------------------------ CODE actual NUMBER (000-100), except: 997. R DOESN"T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1784 MEAN=54.65418 ST.DEV=27.88377 MIN=0 MAX=100.0000 ============================== VAR 940224 94PO: FEEL THERM-PEROT (B11B.) COLUMNS 336 - 338 NUMERIC MISSING GE 997 Q.B11b. Ross Perot ----------------------------------------- CODE actual NUMBER (000-100), except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1730 MEAN=41.92445 ST.DEV=25.93128 MIN=0 MAX=100.0000 ============================== VAR 940225 94PO: FEEL THERM-DOLE (B11C.) COLUMNS 339 - 341 NUMERIC MISSING GE 997 Q.B11c. Robert Dole ------------------------------------------ CODES 000-100, except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1519 MEAN=51.03417 ST.DEV=24.02097 MIN=0 MAX=100.0000 ============================== VAR 940226 94PO: FEEL THERM-QUAYLE (B11D.) COLUMNS 342 - 344 NUMERIC MISSING GE 997 Q.B11d. Dan Quayle ----------------------------------------- CODES 000-100, except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1730 MEAN=46.10494 ST.DEV=25.89231 MIN=0 MAX=100.0000 ============================== VAR 940227 94PO: FEEL THERM-GORE (B11E.) COLUMNS 345 - 347 NUMERIC MISSING GE 997 Q.B11e. Al Gore -------------------------------------- CODES 000-100, except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1685 MEAN=53.06705 ST.DEV=23.25941 MIN=0 MAX=100.0000 ============================== VAR 940228 94PO: FEEL THERM-JACKSON (B11F.) COLUMNS 348 - 350 NUMERIC MISSING GE 997 Q.B11f. Jesse Jackson -------------------------------------------- CODES 000-100, except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1733 MEAN=42.67133 ST.DEV=27.21502 MIN=0 MAX=100.0000 ============================== VAR 940229 94PO: FEEL THERM-HILLARY (B11G.) COLUMNS 351 - 353 NUMERIC MISSING GE 997 Q.B13g. Hillary Clinton ---------------------------------------------- CODES 000-100, except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1765 MEAN=47.78406 ST.DEV=30.09676 MIN=0 MAX=100.0000 ============================== VAR 940230 94PO: FEEL THERM-C POWELL (B11H.) COLUMNS 354 - 356 NUMERIC MISSING GE 997 Q.B11h. Colin Powell ------------------------------------------- CODES 000-100, except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1419 MEAN=66.61236 ST.DEV=20.49612 MIN=0 MAX=100.0000 ============================== VAR 940231 94PO: FEEL THERM-SEN DEM (B11K.) COLUMNS 357 - 359 NUMERIC MISSING GE 888 Q.B11k. (NAME # 11, 13 or 15) DEMOCRATIC U.S. SENATE CANDIDATE ----------------------------------------------------- CODES 000-100, except: 888. INAP, 81, 82, 85 in V18 - No Senate race in state 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1193 MEAN=49.19454 ST.DEV=24.96953 MIN=0 MAX=100.0000 ============================== VAR 940232 94PO: FEEL THERM-SEN REP (B11M.) COLUMNS 360 - 362 NUMERIC MISSING GE 888 Q.B11m. (NAME # 12, 14 or 16) REPUBLICAN U.S. SENATE CANDIDATE ----------------------------------------------------- CODES 000-100, except: 888. INAP, 81, 82, 85 in V18 - No Senate race in state 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1217 MEAN=51.81557 ST.DEV=24.82599 MIN=0 MAX=100.0000 ============================== VAR 940233 94PO: FEEL THERM-TN SEN CAND DEM (B11N.) COLUMNS 363 - 365 NUMERIC MISSING GE 888 Q.B11n. (NAME # 11a, 13a or 15a--TENNESSEE ONLY) ---------------------------------------------------------- CODES 000-100, except: 888. INAP, 01-53, 55-82, 99 in V13; 81-82, 85 in V18 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=42 MEAN=52.74541 ST.DEV=23.94691 MIN=0 MAX=100.0000 ============================== VAR 940234 94PO: FEEL THERM-TN SEN CAND REP (B11P.) COLUMNS 366 - 368 NUMERIC MISSING GE 888 Q.B11p. (NAME # 12a, 14a or 16a--TENNESSEE ONLY) ---------------------------------------------------------- CODES 000-100, except: 888. INAP, 01-53, 55-82, 99 in V13; 81-82, 85 in V18 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=44 MEAN=62.19727 ST.DEV=23.00049 MIN=0 MAX=100.0000 ============================== VAR 940235 94PO: FEEL THERM-SEN TNU (B11Q.) COLUMNS 369 - 371 NUMERIC MISSING GE 888 Q.B11q. (NAME # 19 or 29) SENATE INCUMBENT WHOSE TERM IS NOT UP--RACE IN STATE --------------------------------------------------------- CODES 000-100, except: 888. INAP, 81, 82, 85-95 in V18 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1192 MEAN=54.65646 ST.DEV=22.84425 MIN=0 MAX=100.0000 ============================== VAR 940236 94PO: FEEL THERM-SEN 1 NO RACE (B11R.) COLUMNS 372 - 374 NUMERIC MISSING GE 888 Q.B11r. FIRST U.S. SENATOR--NO RACE IN STATE ------------------------------------------------------ CODES 000-100, except: 888. INAP, 12, 19, 21, 55, 65, 95 in V18 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=298 MEAN=59.09607 ST.DEV=23.32837 MIN=0 MAX=100.0000 ============================== VAR 940237 94PO: FEEL THERM-SEN 2 NO RACE (B11S.) COLUMNS 375 - 377 NUMERIC MISSING GE 888 Q.B11s. SECOND U.S. SENATOR--NO RACE IN STATE ------------------------------------------------------- CODES 000-100, except: 888. INAP, 12, 19, 21, 55, 65, 95, in V18 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=293 MEAN=50.34060 ST.DEV=25.69115 MIN=0 MAX=100.0000 ============================== VAR 940238 94PO: FEEL THERM-HSE DEM (B11T.) COLUMNS 378 - 380 NUMERIC MISSING GE 888 Q.B11t. (NAME # 31, 33 or 35) DEMOCRATIC U.S. HOUSE CANDIDATE ---------------------------------------------------- CODES 000-100, except: NOTE: Rating for the independent candidate running in VA10 was coded here. Type of House Race (V17) can be used to exclude these cases. 888. INAP, 24 in V17 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1138 MEAN=56.32887 ST.DEV=23.87810 MIN=0 MAX=100.0000 ============================== VAR 940239 94PO: FEEL THERM-HSE REP (B11U.) COLUMNS 381 - 383 NUMERIC MISSING GE 888 Q.B11u. (NAME # 32, 34 or 36) REPUBLICAN U.S. HOUSE CANDIDATE ---------------------------------------------------- CODES 000-100, except: 888. INAP, 14 in V17 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1128 MEAN=57.79914 ST.DEV=21.60658 MIN=0 MAX=100.0000 ============================== VAR 940301 94PO: FEEL THERM-DEM PTY (B12A.) COLUMNS 384 - 386 NUMERIC MISSING GE 998 Q.B12. (RB, STILL ON P. 2) And still using the thermometer, how would you rate the following: Q.B12a. The Democratic Party ------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1761 MEAN=54.51256 ST.DEV=23.60424 MIN=0 MAX=100.0000 ============================== VAR 940302 94PO: FEEL THERM-REP PTY (B12B.) COLUMNS 387 - 389 NUMERIC MISSING GE 998 Q.B12b. The Republican Party --------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1756 MEAN=56.71254 ST.DEV=22.01299 MIN=0 MAX=100.0000 ============================== VAR 940303 94PO: FEEL THERM-POL PART IN GEN (B12C.) COLUMNS 390 - 392 NUMERIC MISSING GE 998 Q.B12c. Political parties in general ----------------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1727 MEAN=51.00458 ST.DEV=20.28500 MIN=0 MAX=100.0000 ============================== VAR 940304 94PO: FEEL THERM-HISPANICS (B12D.) COLUMNS 393 - 395 NUMERIC MISSING GE 998 Q.B12d. Hispanics or Latinos --------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1674 MEAN=61.15432 ST.DEV=22.41803 MIN=0 MAX=100.0000 ============================== VAR 940305 94PO: FEEL THERM-BLACKS (B12E.) COLUMNS 396 - 398 NUMERIC MISSING GE 998 Q.B12e. Blacks ------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1716 MEAN=63.50368 ST.DEV=21.64526 MIN=0 MAX=100.0000 ============================== VAR 940306 94PO: FEEL THERM-CONSERVATIVES (B12F.) COLUMNS 399 - 401 NUMERIC MISSING GE 998 Q.B12f. Conservatives -------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1661 MEAN=61.09766 ST.DEV=20.60639 MIN=0 MAX=100.0000 ============================== VAR 940307 94PO: FEEL THERM-LABOR UNIONS (B12G.) COLUMNS 402 - 404 NUMERIC MISSING GE 998 Q.B12g. Labor unions ------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1728 MEAN=54.26943 ST.DEV=24.12435 MIN=0 MAX=100.0000 ============================== VAR 940308 94PO: FEEL THERM-WOMENS MVMENT (B12H.) COLUMNS 405 - 407 NUMERIC MISSING GE 998 Q.B12h. The Women's Movement --------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1750 MEAN=61.30960 ST.DEV=24.59955 MIN=0 MAX=100.0000 ============================== VAR 940309 94PO: FEEL THERM-PEOPLE ON WELF (B12J.) COLUMNS 408 - 410 NUMERIC MISSING GE 998 Q.B12j. People on welfare ------------------------------------------------ CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1731 MEAN=45.57886 ST.DEV=23.58723 MIN=0 MAX=100.0000 ============================== VAR 940310 94PO: FEEL THERM-ENVRNMENTLSTS (B12K.) COLUMNS 411 - 413 NUMERIC MISSING GE 998 Q.B12k. People seeking to protect the environment ----------------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1748 MEAN=70.46999 ST.DEV=22.96648 MIN=0 MAX=100.0000 ============================== VAR 940311 94PO: FEEL THERM-LIBERALS (B12M.) COLUMNS 414 - 416 NUMERIC MISSING GE 998 Q.B12m. Liberals --------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1692 MEAN=50.06049 ST.DEV=23.05948 MIN=0 MAX=100.0000 ============================== VAR 940312 94PO: FEEL THERM-POOR PEOPLE (B12N.) COLUMNS 417 - 419 NUMERIC MISSING GE 998 Q.B12n. Poor people ------------------------------------------ CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1717 MEAN=71.73015 ST.DEV=19.15217 MIN=0 MAX=100.0000 ============================== VAR 940313 94PO: FEEL THERM-WHITES (B12O.) COLUMNS 420 - 422 NUMERIC MISSING GE 998 Q.B12o. Whites ------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1733 MEAN=71.93872 ST.DEV=18.51465 MIN=0 MAX=100.0000 ============================== VAR 940314 94PO: FEEL THERM-BIG BUSINESS (B12P.) COLUMNS 423 - 425 NUMERIC MISSING GE 998 Q.B12p. Big Business ------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1742 MEAN=56.90723 ST.DEV=21.10890 MIN=0 MAX=100.0000 ============================== VAR 940315 94PO: FEEL THERM-CHRST FUNDMLSTS (B12Q.) COLUMNS 426 - 428 NUMERIC MISSING GE 998 Q.B12q. Christian Fundamentalists -------------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1661 MEAN=55.77591 ST.DEV=27.12441 MIN=0 MAX=100.0000 ============================== VAR 940316 94PO: FEEL THERM-ELDERLY (B12R.) COLUMNS 429 - 431 NUMERIC MISSING GE 998 Q.B12r. The elderly ------------------------------------------ CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1765 MEAN=82.68449 ST.DEV=17.16327 MIN=0 MAX=100.0000 ============================== VAR 940317 94PO: FEEL THERM-ILLEGAL IMMMGS (B12S.) COLUMNS 432 - 434 NUMERIC MISSING GE 998 Q.B12s. Illegal immigrants ------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1746 MEAN=32.65922 ST.DEV=26.13775 MIN=0 MAX=100.0000 ============================== VAR 940318 94PO: FEEL THERM-GAYS, LESBIANS (B12T.) COLUMNS 435 - 437 NUMERIC MISSING GE 998 Q.B12t. Gay men & lesbians (i.e., homosexuals) -------------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1733 MEAN=35.49337 ST.DEV=29.35507 MIN=0 MAX=100.0000 ============================== VAR 940319 94PO: FEEL THERM-WEALTHY PEOPLE (B12U.) COLUMNS 438 - 440 NUMERIC MISSING GE 998 Q.B12u. Wealthy people --------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=1738 MEAN=56.24075 ST.DEV=19.99863 MIN=0 MAX=100.0000 ============================== VAR 940320 94PO: APP/DIS CONG (B13.) COLUMNS 441 - 441 NUMERIC MISSING GE 8 Q.B13. Do you approve or disapprove of the way the U.S. Congress has been handling its job? --------------------------------------------------------- 545 1. APPROVE 1107 5. DISAPPROVE 137 8. DON'T KNOW 6 9. NA ============================== VAR 940321 94PO: APP/DIS CONG SCALE (B13A/B13B.) COLUMNS 442 - 442 NUMERIC MISSING 0 OR GE 8 Q.B13a. Do you approve strongly or not strongly? Q.B13b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 130 1. STRONGLY APPROVE 415 2. NOT STRONGLY APPROVE 437 4. NOT STRONGLY DISAPPROVE 667 5. STRONGLY DISAPPROVE 1 8. DK 2 9. NA 143 0. Inap, 8-9 in Q.B13 ============================== VAR 940322 94PO: APP/DIS CONGR HLTH CARE (B14.) COLUMNS 443 - 443 NUMERIC MISSING GE 8 Q.B14. Do you approve or disapprove of the way that the Congress is handling health care reform? --------------------------------------------------------- 426 1. APPROVE 1259 5. DISAPPROVE 105 8. DON'T KNOW 5 9. NA ============================== VAR 940323 94PO: A/D CONGR HLTH SCALE (B14A/B14B.) COLUMNS 444 - 444 NUMERIC MISSING 0 OR GE 8 Q.B14a. Do you approve strongly or not strongly? Q.B14b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 168 1. STRONGLY APPROVE 258 2. NOT STRONGLY APPROVE 367 4. NOT STRONGLY DISAPPROVE 889 5. STRONGLY DISAPPROVE 8. DK 2 9. NA 110 0. Inap, 8-9 in Q.B14 ============================== VAR 940324 94PO: VOTED IN 1992? (B15.) COLUMNS 445 - 445 NUMERIC MISSING GE 8 Q.B15. In 1992 George Bush ran on the Republican ticket against the independent Ross Perot, and against Bill Clinton for the Democrats. Do you remember for sure whether or not you voted in that election? ------------------------------------------------------------ 1322 1. YES, DID VOTE 443 5. NO, DIDN'T VOTE 31 8. DON'T KNOW 9. NA ============================== VAR 940325 94PO: PRES VOTE 1992 (B15A.) COLUMNS 446 - 446 NUMERIC MISSING 0 OR GE 8 Q.B15a. Which one did you vote for? ------------------------------------ 500 1. BUSH 555 2. CLINTON 239 3. PEROT 4 5. OTHER 10 8. DON'T KNOW 14 9. NA 473 0. Inap, 5, 8-9 in Q.B15 ============================== VAR 940401 94PO: LIKE DEM CAND? (C1.) COLUMNS 447 - 447 NUMERIC MISSING 0 OR GE 8 Next I would like to ask you some questions about the candidate(s) who ran in this district for the U.S. House of Representatives. Q.C1. Was there anything in particular that you liked about (NAME # 31, 33, or 35), the Democratic candidate for the U.S. House of Representatives? ----------------------------------------------------------- NOTE: the independent candidate running in VA10 was treated as a Democratic candidate for this series. 442 1. YES 743 5. NO 389 7. R VOLUNTEERS: "I DON'T KNOW ANYTHING ABOUT THIS PERSON" 80 8. DK 20 9. NA 121 0. Inap, 24 in V17 (No Democratic U.S. House candidate) ============================== VAR 940402 94PO: LIKE #1 DEM CAND (C1A.) COLUMNS 448 - 451 NUMERIC MISSING 0 OR GE 9998 Q.C1a(1). [IF NECESSARY: What was that?] (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") <1st mention> ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S.House candidate); 5, 7-9 in Q.C1; 9998-9999 in Q.C1a(1); no further mention ============================== VAR 940403 94PO: LIKE #2 DEM CAND (C1A.) COLUMNS 452 - 455 NUMERIC MISSING 0 OR GE 9998 Q.C1a(2). [IF NECESSARY: What was that?] (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") <2nd mention> ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S.House candidate); 5, 7-9 in Q.C1; 9998-9999 in Q.C1a(1); no further mention ============================== VAR 940404 94PO: LIKE #3 DEM CAND (C1A.) COLUMNS 456 - 459 NUMERIC MISSING 0 OR GE 9998 Q.C1a(3). [IF NECESSARY: What was that?] (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") <3rd mention> ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S.House candidate); 5, 7-9 in Q.C1; 9998-9999 in Q.C1a(1); no further mention ============================== VAR 940405 94PO: LIKE #4 DEM CAND (C1A.) COLUMNS 460 - 463 NUMERIC MISSING 0 OR GE 9998 Q.C1a(4). [IF NECESSARY: What was that?] (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") <4th mention> ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S.House candidate); 5, 7-9 in Q.C1; 9998-9999 in Q.C1a(1); no further mention ============================== VAR 940406 94PO: LIKE #5 DEM CAND (C1A.) COLUMNS 464 - 467 NUMERIC MISSING 0 OR GE 9998 Q.C1a(5). [IF NECESSARY: What was that?] (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") <5th mention> ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S.House candidate); 5, 7-9 in Q.C1; 9998-9999 in Q.C1a(1); no further mention ============================== VAR 407 94PO: DISLIK DEM CAND? (C2) WIDTH 1 COLUMN 455 MISSING 0 OR GE 8 Q.C2. Was there anything in particular that you didn't like about (NAME # 31, 33, or 35)? --------------------------------------------------------- 291 1. YES 915 5. NO 62 8. DON'T KNOW 18 9. NA 510 0. Inap, 24 in V17 (No Democratic U.S. House candidate); 7 in Q.C1 ============================== VAR 940408 94PO: DISLK #1 DEM CAND (C2A.) COLUMNS 469 - 472 NUMERIC MISSING 0 OR GE 9998 Q.C2a(1). [IF NECESSARY: What was that?] <1st mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK (0 in Q.C2a(2)-C2a(5)) 9999. NA (0 in Q.C2a(2)-C2a(5)) 0000. Inap, 24 in V17 (No Democratic U.S. House candidate); 7 in Q.C1; 5, 8-9 in Q.C2; 9998-9999 in Q.C2a; no further mention ============================== VAR 940409 94PO: DISLK #2 DEM CAND (C2A.) COLUMNS 473 - 476 NUMERIC MISSING 0 OR GE 9998 Q.C2a(2). [IF NECESSARY: What was that?] <2nd mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S. House candidate); 7 in Q.C1; 5, 8-9 in Q.C2; 9998-9999 in Q.C2a; no further mention ============================== VAR 940410 94PO: DISLK #3 DEM CAND (C2A.) COLUMNS 477 - 480 NUMERIC MISSING 0 OR GE 9998 Q.C2a(3). [IF NECESSARY: What was that?] <3rd mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S. House candidate); 7 in Q.C1; 5, 8-9 in Q.C2; 9998-9999 in Q.C2a; no further mention ============================== VAR 940411 94PO: DISLK #4 DEM CAND (C2A.) COLUMNS 481 - 484 NUMERIC MISSING 0 OR GE 9998 Q.C2a(4). [IF NECESSARY: What was that?] <4th mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S. House candidate); 7 in Q.C1; 5, 8-9 in Q.C2; 9998-9999 in Q.C2a; no further mention ============================== VAR 940412 94PO: DISLK #5 DEM CAND (C2A.) COLUMNS 485 - 488 NUMERIC MISSING 0 OR GE 9998 Q.C2a(5). [IF NECESSARY: What was that?] <5th mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S. House candidate); 7 in Q.C1; 5, 8-9 in Q.C2; 9998-9999 in Q.C2a; no further mention ============================== VAR 940413 94PO: LIKE REPUB CAND? (C3.) COLUMNS 489 - 489 NUMERIC MISSING 0 OR GE 8 V17. Was there anything in particular that you liked about (NAME # 32, 34,or 36), the Republican candidate for the U.S. House of Representatives? --------------------------------------------------------- 430 1. YES 726 5. NO 487 7. R VOLUNTEERS: "I DON'T KNOW ANYTHING ABOUT THIS PERSON" 87 8. DK 17 9. NA 48 0. Inap, 14 in V17 (No Republican U.S. House candidate) ============================== VAR 940414 94PO: LIKE #1 REP CAND (C3A.) COLUMNS 490 - 493 NUMERIC MISSING 0 OR GE 9998 Q.C3a(1). [IF NECESSARY: What was that?] <1st mention> (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 5, 7-9 in Q.C3; 9998-9999 in Q.C3a(1); no further mention ============================== VAR 940415 94PO: LIKE #2 REP CAND (C3A.) COLUMNS 494 - 497 NUMERIC MISSING 0 OR GE 9998 Q.C3a(2). [IF NECESSARY: What was that?] <2nd mention> (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 5, 7-9 in Q.C3; 9998-9999 in Q.C3(1); no further mention ============================== VAR 940416 94PO: LIKE #3 REP CAND (C3A.) COLUMNS 498 - 501 NUMERIC MISSING 0 OR GE 9998 Q.C3a(3). [IF NECESSARY: What was that?] <3rd mention> (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 5, 7-9 in Q.C3; 9998-9999 in Q.C3a(1); no further mention ============================== VAR 940417 94PO: LIKE #4 REP CAND (C3A.) COLUMNS 502 - 505 NUMERIC MISSING 0 OR GE 9998 Q.C3a(4). [IF NECESSARY: What was that?] <4th mention> (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 5, 7-9 in Q.C3; 9998-9999 in Q.C3a(1); no further mention ============================== VAR 940418 94PO: LIKE #5 REP CAND (C3A.) COLUMNS 506 - 508 NUMERIC MISSING 0 OR GE 9998 Q.C3a(5). [IF NECESSARY: What was that?] <5th mention> (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 5, 7-9 in Q.C3; 9998-9999 in Q.C3a(1); no further mention ============================== VAR 940419 94PO: DISLK REPUB CAND? (C4.) COLUMNS 509 - 509 NUMERIC MISSING 0 OR GE 8 Q.C4. Was there anything in particular that you didn't like about (NAME # 32, 34, or 36)? --------------------------------------------------------- 213 1. YES 955 5. NO 69 8. DON'T KNOW 23 9. NA 535 0. Inap, 14 in V17 (No Republican U.S. House candidate); 7 in Q.C3 ============================== VAR 940420 94PO: DISLK #1 REP CAND (C4A.) COLUMNS 510 - 513 NUMERIC MISSING 0 OR GE 9998 Q.C4a(1). [IF NECESSARY: What was that?] <1st mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 7 in Q.C3; 5, 8-9 in Q.C4; 9998-9999 in Q.C4a(1); no further mention ============================== VAR 940421 94PO: DISLK #2 REP CAND (C4A.) COLUMNS 514 - 517 NUMERIC MISSING 0 OR GE 9998 Q.C4a(2). [IF NECESSARY: What was that?] <2nd mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 7 in Q.C3; 5, 8-9 in Q.C4; 9998-9999 in Q.C4a(1); no further mention ============================== VAR 940422 94PO: DISLK #3 REP CAND (C4A.) COLUMNS 518 - 521 NUMERIC MISSING 0 OR GE 9998 Q.C4a(3). [IF NECESSARY: What was that?] <3rd mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 7 in Q.C3; 5, 8-9 in Q.C4; 9998-9999 in Q.C4a(1); no further mention ============================== VAR 940423 94PO: DISLK #4 REP CAND (C4A.) COLUMNS 522 - 525 NUMERIC MISSING 0 OR GE 9998 Q.C4a(4). [IF NECESSARY: What was that?] <4th mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 7 in Q.C3; 5, 8-9 in Q.C4; 9998-9999 in Q.C4a(1); no further mention ============================== VAR 940424 94PO: DISLK #5 REP CAND (C4A.) COLUMNS 526 - 529 NUMERIC MISSING 0 OR GE 9998 Q.C4a(5). [IF NECESSARY: What was that?] <5th mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 7 in Q.C3; 5, 8-9 in Q.C4; 9998-9999 in Q.C4a(1); no further mention ============================== VAR 940425 94PO: CKPT: NO. HSE CANDS (C5.) COLUMNS 530 - 530 NUMERIC NOMISSING DATA CODES Q.C5. INTERVIEWER CHECKPOINT ------------------------------- NOTE: Respondents in VA10, where an independent candidate opposed a Republican candidate, are coded "1" on the variable. 1626 1. DISTRICT IN WHICH TWO MAJOR PARTY HOUSE CANDIDATES RAN (CANDIDATE LIST INCLUDES ONE NAME #31, 33 OR 35 AND ONE NAME #32, 34 OR 36) 169 2. DISTRICT IN WHICH ONLY ONE MAJOR PARTY HOUSE CANDIDATE RAN (CANDIDATE LIST INCLUDES EITHER NAME #31, 33 or 35 OR NAME #32, 34, OR 36, BUT NOT BOTH) ============================== VAR 940426 94PO: DISTRICT ISSUE #1 (C6.) COLUMNS 531 - 533 NUMERIC MISSING 0 OR GE 998 Q.C6(1). In the campaign in this district for the U.S. House of Representatives, what would you say was the single most important issue to you? <1st mention> ----------------------------------------------------------- See CAMPAIGN ISSUE Master Code, except: 995. "There was no campaign in my district." 998. DK 999. NA 000. Inap, 2 in Q.C5; 998-999 in Q.C6(1); no further mention ============================== VAR 940427 94PO: DISTRICT ISSUE #2 (C6.) COLUMNS 534 - 536 NUMERIC MISSING 0 OR GE 998 Q.C6(2). In the campaign in this district for the U.S. House of Representatives, what would you say was the single most important issue to you? <2nd mention> ----------------------------------------------------------- See CAMPAIGN ISSUE Master Code, except: 998. DK 999. NA 000. Inap, 2 in Q.C5; 998-999 in Q.C6(1); no further mention ============================== VAR 940428 94PO: DISTRICT ISSUE #3 (C6.) COLUMNS 537 - 539 NUMERIC MISSING 0 OR GE 998 Q.C6(3). In the campaign in this district for the U.S. House of Representatives, what would you say was the single most important issue to you? <3rd mention> ----------------------------------------------------------- See CAMPAIGN ISSUE Master Code, except: 998. DK 999. NA 000. Inap, 2 in Q.C5; 998-999 in Q.C6(1); no further mention ============================== VAR 940429 94PO: CKPT: NO. DISTR. ISSUES (C7.) COLUMNS 540 - 540 NUMERIC MISSING 0 Q.C7. INTERVIEWER CHECKPOINT ------------------------------- 710 1. R HAS NOT MENTIONED ANY ISSUES (995, 998-999 in Q.C6(1)) 701 2. R HAS MENTIONED ONLY ONE ISSUE (995, 998-999 in Q.C6(1)) 215 3. ALL OTHERS 169 0. Inap, 2 in Q.C5 ============================== VAR 940430 94PO: MOST IMP DISTR ISSUE (C8.) COLUMNS 541 - 543 NUMERIC MISSING 0 OR GE 998 Q.C8. Of those you've mentioned, what would you say is the single most important issue to you? --------------------------------------------------------- Use CAMPAIGN ISSUE Master Code, except: 998. DK 999. NA 000. Inap, 2 in Q.C5; 995, 998-999 in Q.C6(1); 1, 2 in Q.C7 ============================== VAR 940431 94PO: EITHER HSE CAND INCUMBENT (C9.) COLUMNS 544 - 544 NUMERIC MISSING 0 OR GE 5 Q.C9. Do you happen to know if either of these candidates, (NAME #31, 33 or 35) or (NAME #32, 34 or 36) was already in the U.S. House of Representatives before the election? ------------------------------------------------------------ 957 1. YES, ONE CANDIDATE WAS 97 2. NEITHER CANDIDATE WAS 3. Both candidates were 558 5. DON'T KNOW (DON'T PROBE) 14 9. NA 169 0. Inap, 2 in Q.C5 ============================== VAR 940432 94PO: WHICH HSE CAND INCUMB -NUM (C9A.) COLUMNS 545 - 546 NUMERIC MISSING 0 OR GE 98 Q.C9a. Which candidate was that? ---------------------------------- HOUSE RACE For States with No Incumbent Representative(s) Running 26 31. Democratic candidate - open race 27 32. Republican candidate - open race For States with Running Incumbent 563 33. Democratic incumbent 316 34. Republican incumbent 7 35. Democratic challenger 12 36. Republican challenger 6 98. DK 1 99. NA 838 00. Inap, 2 in Q.C5; 2, 5 or 9 in Q.C9 ============================== VAR 940433 94PO: PTY HSE CAND INCUM- 2 CAND (C9AA.) COLUMNS 547 - 547 NUMERIC MISSING 0 OR GE 8 Q.C9aa. Candidate Named ------------------------ Built from Q.C9 596 1. Democratic candidate (31, 33, 35) 355 2. Republican " (32, 34, 36) 6 8. DK (98) 1 9. NA (99) 838 0. Inap, 2 in Q.C5; 2, 5 or 9 in Q.C9 ============================== VAR 940434 94PO: WAS CAND INCUMB (C10.) COLUMNS 548 - 548 NUMERIC MISSING 0 OR GE 5 Q.C10. IF ONLY ONE HOUSE CANDIDATE RAN IN THE DISTRICT: Do you happen to know if (NAME #31,32,33,34,35, or 36) was already in the U.S. House of Representatives before the election? ---------------------------------------------------------- Interviewers were instructed not to probe "don't know" responses to Q.C10. 102 1. YES, CANDIDATE WAS 5 3. NO, CANDIDATE WAS NOT 58 5. DON'T KNOW (DON'T PROBE) 4 9. NA 1626 0. Inap, 1 in Q.C5 ============================== VAR 940435 94PO: NUMBER OF INCUMB CAND (C10A.) COLUMNS 549 - 550 NUMERIC MISSING 0 OR GE 98 Q.C10a. Candidate Number of the House Candidate ------------------------------------------------ HOUSE RACE For States with No Incumbent Representative(s) Running 31. Democratic candidate - open race 32. Republican candidate - open race For States with Running Incumbent 23 33. Democratic incumbent 72 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 98. DK 7 99. NA 1693 00. Inap, 1 in Q.C5; 3, 5, 9 in Q.C10 ============================== VAR 940436 94PO: PTY HSE CAND INCUM-1 CAND (C10AA.) COLUMNS 551 - 551 NUMERIC MISSING 0 OR GE 8 Q.C10aa. Candidate Named ------------------------ Built from Q.C10a 23 1. Democratic candidate (31, 33, 35) 72 2. Republican " (32, 34, 36) 8. DK (98) 7 9. NA (99) 1693 0. Inap, 1 in 425; 3, 5, 9 in Q.C10 ============================== VAR 940501 94PO: CKPT: DEM CAND IN HSE RACE? (C11.) COLUMNS 552 - 552 NUMERIC NOMISSING DATA CODES Q.C11. INTERVIEWER CHECKPOINT ------------------------------- NOTE: VA10 was coded 1 in this checkpoint. The independent candidate running in VA10 was treated as a Democratic candidate in this series. 1674 1. DISTRICT IN WHICH THERE WAS A DEMOCRATIC CANDIDATE (CANDIDATE LIST INCLUDES NAME # 31, 33, 35 or includes #30 if VA10 121 2. NO DEMOCRATIC CANDIDATE IN THE RACE (CANDIDATE LIST INCLUDES ONLY NAME # 32, 34 OR 36) ============================== VAR 940502 94PO: CONTACT W/DEM HSE CAND? (C12.) COLUMNS 553 - 553 NUMERIC MISSING 0 OR GE 8 Q.C12. (RB, P.3) (Looking at page 3 of the booklet) There are many ways in which Congressional candidates can have contact with the people from their districts. On this page are some of these ways. Think of (NAME # 31, 33 or 35) who ran for the U.S. House of Representatives from this district in the last election. Have you come into contact with or learned anything about (him/her) through any of these ways? ------------------------------------------------------------ 1105 1. YES 556 5. NO; NO CONTACT AT ALL 8. DK 14 9. NA 121 0. Inap, 2 in Q.C11 ============================== VAR 940503 94PO: MET DEM HSE CAND (C12AA.) COLUMNS 554 - 554 NUMERIC MISSING 0 OR GE 9 Q.C12a. Which ones? (MARK ALL MENTIONS) Q.C12aa. MET HIM/HER PERSONALLY ----------------------------------------- 133 1. Checked 971 5. Not checked 1 9. NA 690 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR 940504 94PO: ATTEND MEET DEM HSE CAND (C12AB.) COLUMNS 555 - 555 NUMERIC MISSING 0 OR GE 9 Q.C12ab. ATTENDED A MEETING OR GATHERING WHERE HE/SHE SPOKE ----------------------------------------------------------- 106 1. Checked 998 5. Not checked 1 9. NA 690 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR 940505 94PO: TALK STAFF DEM HSE CAND (C12AC.) COLUMNS 556 - 556 NUMERIC MISSING 0 OR GE 9 Q.C12ac. TALKED TO A MEMBER OF HIS/HER STAFF OR SOMEONE IN HIS/HER OFFICE ---------------------------------------------------------- 104 1. Checked 1000 5. Not checked 1 9. NA 690 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR 940506 94PO: MAIL FR DEM HSE CAND (C12AD.) COLUMNS 557 - 557 NUMERIC MISSING 0 OR GE 9 Q.C12ad. RECEIVED SOMETHING IN THE MAIL FROM HIM/HER ---------------------------------------------------- 611 1. Checked 493 5. Not checked 1 9. NA 690 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR 940507 94PO: READ NEWS DEM HSE CAND (C12AE.) COLUMNS 558 - 558 NUMERIC MISSING 0 OR GE 9 Q.C12ae. READ ABOUT HIM/HER IN A NEWSPAPER OR MAGAZINE ------------------------------------------------------ 667 1. Checked 437 5. Not checked 1 9. NA 690 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR 940508 94PO: HEARD RADIO DEM HSE CAND (C12AF.) COLUMNS 559 - 559 NUMERIC MISSING 0 OR GE 9 Q.C12af. HEARD HIM/HER ON THE RADIO ----------------------------------- 357 1. Checked 747 5. Not checked 1 9. NA 690 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR 940509 94PO: SAW TV DEM HSE CAND (C12AG.) COLUMNS 560 - 560 NUMERIC MISSING 0 OR GE 9 Q.C12ag. SAW HIM/HER ON TV -------------------------- 772 1. Checked 332 5. Not checked 1 9. NA 690 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR 940510 94PO: OTH CONTACT DEM HSE CAND (C12AH.) COLUMNS 561 - 561 NUMERIC MISSING 0 OR GE 9 Q.C12ah. OTHER CONTACT NOT INCLUDED IN a-g ABOVE (PLEASE SPECIFY) -------------------------------------------------------- 100 1. Checked 1003 5. Not checked 1 9. NA 690 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR 940511 94PO: ANYONE ELS CONT D HSE CAND? (C13.) COLUMNS 562 - 562 NUMERIC MISSING 0 OR GE 8 Q.C13. Do you know anyone, any of your family, friends, or people at work, who have had some contact with (NAME # 31, 33 or 35)? ------------------------------------------------------------ 271 1. YES 1309 5. NO 58 8. DON'T KNOW 37 9. NA 121 0. Inap, 2 in Q.C11 ============================== VAR 940512 94PO: CKPT: REP CAND IN HSE RACE? (C14.) COLUMNS 563 - 563 NUMERIC NOMISSING DATA CODES Q.C14. INTERVIEWER CHECKPOINT ------------------------------- NOTE: VA10 was coded 1 in this checkpoint. The independent candidate running in VA10 was treated as a Democratic candidate in this series. 1626 1. THERE IS A REPUBLICAN CANDIDATE AND A DEMOCRATIC CANDIDATE IN THE DISTRICT (NAME # 32, 34, 36 AND 31, 33, 35 or includes #30 if VA10; CODES 12, 21, 23, 55, 65 in V17) 121 2. THERE IS A REPUBLICAN CANDIDATE IN THE DISTRICT (NAME # 32, 34 OR 36 ON CANDIDATE LIST), BUT NO DEMOCRATIC CANDIDATE (CODE 24 in V17) 48 3. NO REPUBLICAN CANDIDATE (CANDIDATE LIST INCLUDES NAME #31, 33 OR 35 ONLY; CODE 14 in V17) ============================== VAR 940513 94PO: CNTCT W/REP HSE CAND? (C14A/C14B.) COLUMNS 564 - 564 NUMERIC MISSING 0 OR GE 8 Q.C14a. (RB, STILL ON P. 3) How about (NAME #32, 34 OR 36) who also ran for the House of Representatives from this district in the last election? Q.C14b. (RB, P. 3) (Looking at Page 3 of the booklet) There are many ways in which Congressional candidates can have contact with the people from their districts. On this page are some of the ways. Think of (NAME # 32, 34 OR 36) who ran for the U.S. House of Representatives from this district in the last election. Have you come into contact with or learned anything about (him/her) through any of these ways? ------------------------------------------------------------ 999 1. YES 734 5. NO; NO CONTACT AT ALL 8. DK 13 9. NA 48 0. Inap, 3 in Q.C14 ============================== VAR 940514 94PO: MET REP HSE CAND (C15A.) COLUMNS 565 - 565 NUMERIC MISSING 0 OR GE 9 Q.C15. Which ones? (MARK ALL MENTIONS) Q.C15a. MET HIM/HER PERSONALLY ----------------------------------------- 94 1. Checked 906 5. Not checked 9. NA 796 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR 940515 94PO: ATTEND MEET REP HSE CAND (C15B.) COLUMNS 566 - 566 NUMERIC MISSING 0 OR GE 9 Q.C15b. ATTENDED A MEETING OR GATHERING WHERE HE/SHE SPOKE ----------------------------------------------------------- 84 1. Checked 915 5. Not checked 9. NA 796 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR 940516 94PO: TALK STAFF REP HSE CAND (C15C.) COLUMNS 567 - 567 NUMERIC MISSING 0 OR GE 9 Q.C15c. TALKED TO A MEMBER OF HIS/HER STAFF OR SOMEONE IN HIS/HER OFFICE ---------------------------------------------------------- 102 1. Checked 898 5. Not checked 9. NA 796 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR 940517 94PO: MAIL FR REP HSE CAND (C15D.) COLUMNS 568 - 568 NUMERIC MISSING 0 OR GE 9 Q.C15d. RECEIVED SOMETHING IN THE MAIL FROM HIM/HER ---------------------------------------------------- 536 1. Checked 464 5. Not checked 9. NA 796 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR 940518 94PO: READ NEWS REP HSE CAND (C15E.) COLUMNS 569 - 569 NUMERIC MISSING 0 OR GE 9 Q.C15e. READ ABOUT HIM/HER IN A NEWSPAPER OR MAGAZINE ------------------------------------------------------ 618 1. Checked 381 5. Not checked 9. NA 796 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR 940519 94PO: HEARD RADIO REP HSE CAND (C15F.) COLUMNS 570 - 570 NUMERIC MISSING 0 OR GE 9 Q.C15f. HEARD HIM/HER ON THE RADIO ----------------------------------- 356 1. Checked 643 5. Not checked 9. NA 796 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR 940520 94PO: SAW TV REP HSE CAND (C15G.) COLUMNS 571 - 571 NUMERIC MISSING 0 OR GE 9 Q.C15g. SAW HIM/HER ON TV -------------------------- 701 1. Checked 298 5. Not checked 9. NA 796 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR 940521 94PO: OTH CONTACT REP HSE CAND (C15H.) COLUMNS 572 - 572 NUMERIC MISSING 0 OR GE 9 Q.C15h. OTHER CONTACT NOT INCLUDED IN a-g ABOVE (PLEASE SPECIFY) -------------------------------------------------------- 98 1. Checked 902 5. Not checked 9. NA 796 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR 940522 94PO: ANYONE ELS CONT R HSE CAND? (C16.) COLUMNS 573 - 573 NUMERIC MISSING 0 OR GE 8 Q.C16. Do you know anyone, any of your family, friends, or people at work, who have had some contact with (NAME # 32, 34 OR 36)? ------------------------------------------------------------ 245 1. YES 1422 5. NO 58 8. DON'T KNOW 22 9. NA 48 0. Inap, 3 in Q.C14 ============================== VAR 940601 94PO: DID R VOTE (D1.) COLUMNS 574 - 574 NUMERIC MISSING GE 8 Q.D1. In talking to people about elections, we often find that a lot of people were not able to vote because they weren't registered, they were sick, or they just didn't have time. How about you--did you vote in the elections this November? ------------------------------------------------------------ 1048 1. YES, DID VOTE 746 5. NO, DID NOT VOTE 1 6. Refused to say whether voted 7. Not old enough to vote (see Supervisor before using) 8. DON'T KNOW 9. NA ============================== VAR 940602 94PO: WAS R REGISTERED (D1A.) COLUMNS 575 - 575 NUMERIC MISSING 0 OR GE 8 Q.D1a. Were you registered to vote in this election? ------------------------------------------------------ 354 1. YES 367 5. NO 2 6. R VOLUNTEERS: VOTERS NOT REQUIRED TO REGISTER 18 8. DON'T KNOW 5 9. NA 1049 0. Inap, 1, 6-7, 9 in Q.D1 ============================== VAR 940603 94PO: WHERE REGISTERED (D2.) COLUMNS 576 - 576 NUMERIC MISSING 0 OR GE 8 Q.D2. Your residence is located in [NAME] County. Are you registered to vote in [NAME] County? ------------------------------------------------------------ County name was pre-edited from the sample label on coversheet. 1336 1. YES 59 5. NO 8. DK 7 9. NA 393 0. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a ============================== VAR 940604 94PO: FIPS ST/CNTY R (D2A-1.) COLUMNS 577 - 581 NUMERIC MISSING 0 Q.D2a-1. In what county and state are you registered? ----------------------------------------------------- The question was asked only of Rs registered in a county different from where they were residing at the time of the 94 Post. The FIPS state and county code of registration address is coded here. 00000. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 1, 8-9 in Q.D2 ============================== VAR 940605 94PO: FIPS ST/CNTY R REG (D2A.) ALPHANUMERIC COLUMNS 582 - 582 CHARACTER NOMISSING DATA CODES Q.D2a. In what county and state are you registered? ----------------------------------------------------- This field is blank. ============================== VAR 940606 94PO: CKPT: DID R REG AND VOTE? (D2B.) COLUMNS 583 - 583 NUMERIC MISSING 0 Q.D2b. INTERVIEWER CHECKPOINT - REGISTRATION AND VOTE ------------------------------------------------------- 1048 1. R VOTED (1 in Q.D1) 354 2. R REGISTERED BUT DID NOT VOTE OR REGISTERED BUT DK IF VOTED (5, 8 in Q.D1 and 1 in Q.D1a) 393 0. INAP, NOT REGISTERED OR DK/NA IF REGISTERED (6-7, 9 in Q.D1a; 5-6, 8-9 in Q.D1a) ============================== VAR 940607 94PO: R VOTE ELECT DAY OR BEFORE (D3.) COLUMNS 584 - 584 NUMERIC MISSING 0 OR GE 8 Q.D3. Did you vote on election day -- that is November 8th 1994, or did you vote at some time before this? --------------------------------------------------------- 946 1. ON ELECTION DAY 101 2. SOME TIME BEFORE 8. DK 1 9. NA 747 0. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b ============================== VAR 940608 94PO: HOW LONG BEF ELCT DAY VOTED (D3A.) COLUMNS 585 - 586 NUMERIC MISSING 0 OR GE 98 Q.D3a. How long before November 8th did you vote? (PROBE: A few days, a week, longer than that?) ------------------------------------------------------------ * NFS (not further specified) 26 01. Less than one week; 1-6 days 37 02. One week; 7 days 28 03. 1-2 weeks; 8-14 days 5 04. 2-3 weeks; 15-21 days 05. 3-4 weeks; 22-28 days 2 06. One month; 29-31 days 1 07. More than one month; 32-60 days 11. A few days; a couple of days; several days--NFS* 12. A few weeks; a couple of weeks; several weeks--NFS* 91. More than a few days--NFS* 92. More than a few weeks--NFS* 97. Other 98. DK; not sure 1 99. NA 1694 00. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b; 1, 8-9 in Q.D3 ============================== VAR 940609 94PO: VOTE IN PERS OR ABSENTEE (D4.) COLUMNS 587 - 587 NUMERIC MISSING 0 OR GE 8 Q.D4. Did you vote in person or by absentee ballot? ------------------------------------------------------ 962 1. IN PERSON 82 2. ABSENTEE BALLOT 8. DK 4 9. NA 747 0. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b ============================== VAR 940610 94PO: CKPT: REG IN CNTY/ST OF IW? (D5A.) COLUMNS 588 - 588 NUMERIC MISSING 0 Q.D5a. INTERVIEWER CHECKPOINT - REGISTRATION OF VOTER ------------------------------------------------------- (SEE D2, D2a; COUNTY AND STATE OF REGISTRATION) 1018 1. R VOTED, REGISTERED TO VOTE IN COUNTY AND STATE OF INTERVIEW (1 IN Q.D1 AND 1 IN Q.D2) 24 2. R VOTED, REGISTERED TO VOTE OUTSIDE OF COUNTY AND/OR STATE OF INTERVIEW (1 IN Q.D1 AND 5 IN Q.D2) 6 3. R VOTED BUT DK/NA ADDRESS WHERE REGISTERED (1 IN Q.D1 AND 8-9 IN Q.D2) 747 0. INAP, R DID NOT VOTE 5,6-7,9 IN Q.D1) ============================== VAR 940611 94PO: CKPT: FORM B OR Y (D5B.) COLUMNS 589 - 589 NUMERIC MISSING 0 OR GE 8 Q.D5b. INTERVIEWER CHECKPOINT -FORM TYPE OF BALLOT CARD --------------------------------------------------------- 499 1. R IS FORM B: USE BLUE BALLOT CARD 494 2. R IS FORM Y: USE YELOW BALLOT CARD 13 8. NA, IWR marked form type different from assigned type or did not mark at all 18 9. NA, telephone IW 771 0. INAP, R did not vote or voted outside county/state of interview (5, 6-7, 9 IN Q.D1; 2 IN Q.D5A) ============================== VAR 940612 94PO: DID R VOTE FOR HSE CAND (D6/D11.) COLUMNS 590 - 590 NUMERIC MISSING 0 OR GE 8 Q.D6/D11. Here is a list of candidates for the major races in this district. How about the election for the House of Representatives in Washington. Did you vote for a candidate for the U.S. House of Representatives? ----------------------------------------------------------- 982 1. YES 42 5. NO 3 7. R VOLUNTEERS: VOTED FOR CANDIDATE WHOSE NAME IS NOT ON BALLOT CARD 19 8. DK 2 9. NA 747 0. Inap, 5-7, 9 in Q.D1 ============================== VAR 940613 94PO: R'S HOUSE VOTE (D6A/D11A.) COLUMNS 591 - 592 NUMERIC MISSING 0 OR GE 98 Q.D6a/D11a. Who did you vote for? (The response was precoded by the interviewer) ---------------------------------------------------- 30. Third party or independent House candidate 67 31. Democratic candidate in open House race 85 32. Republican candidate in open House race 309 33. Democratic House incumbent 242 34. Republican House incumbent 62 35. Democratic House challenger 163 36. Republican House challenger If R Voted Outside District of Interview 80. Independent or minor party House candidate 81. Democratic candidate in open House race 82. Republican candidate in open House race 1 83. Democratic incumbent 4 84. Republican incumbent 85. Democratic House challenger 86. Republican House challenger 2 91. Democrat -- no name given 2 92. Republican -- no name given 10 97. Name given not on candidate list for this race 10 98. DK, refused to name candidate 29 99. NA 809 00. INAP, 5, 6-7, 9 in Q.D1; 5, 8-9 in Q.D6/D11 ============================== VAR 940614 94PO: R'S HSE VOTE - PARTY (D6X/D11X.) COLUMNS 593 - 593 NUMERIC MISSING 0 OR GE 8 Q.D6x/D11x. CANDIDATE NAMED--U.S. HOUSE OF REPRESENTATIVES ----------------------------------------------------------- Built from Q.D6/D11 442 1. DEMOCRATIC CANDIDATE (31, 33, 35, 81, 83, 85, 91) 496 2. REPUBLICAN CANDIDATE (32, 34, 36, 82, 84, 86, 92) 3. THIRD PARTY/INDEPENDENT CANDIDATE (30, 80) 10 7. Name given not in Candidate List for that race (97) 10 8. DK OR REFUSED (98) 29 9. NA (99) 809 0. INAP, 5, 6-7, 9 in Q.D1; 5, 8-9 in Q.D6/D11 ============================== VAR 940615 94PO: CKPT: SENATE RACE? (D7.) COLUMNS 594 - 594 NUMERIC MISSING 0 Q.D7. INTERVIEWER CHECKPOINT ------------------------------- 825 1. U.S. SENATE RACE IN THIS STATE (CANDIDATE LIST INCLUDES AT LEAST ONE NAME FROM #11-#16) 199 2. NO U.S. SENATE RACE (NO NAME FROM #11-#16 ON CANDIDATE LIST) 771 0. Inap, 5, 6-7, 9 in Q.D1; 2 in Q.D5a ============================== VAR 940616 94PO: DID R VOTE FOR SEN CAND (D8/D12.) COLUMNS 595 - 595 NUMERIC MISSING 0 OR GE 8 Q.D8. (BALLOT CARD) How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate? Q.D12. How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate? ----------------------------------------------------------- 824 1. YES 15 5. NO 3 7. R volunteers: No Senate race in the state 5 8. DON'T KNOW 2 9. NA 946 0. Inap, 5, 6-7, 9 in Q.D1; 2 in Q.D7 ============================== VAR 940617 94PO: R'S SENATE VOTE (D8A/D12A.) COLUMNS 596 - 597 NUMERIC MISSING 0 OR GE 98 Q.D8a/D12a. Who did you vote for? (Precoded by interviewer) ------------------------------------------------ In 2 cases 2133 and 2780 R's vote in the special Senate election was coded in error. For case 2133 R's vote in the regular Senate election is unknown and for cases 2780, R's regular Senate election vote was for the Democratic Senate incumbent (code 13). 11 10. Third part or independent Senate candidate 79 11. Democratic candidate in open Senate race 118 12. Republican candidate in open Senate race 207 13. Democratic Senate incumbent 132 14. Republican Senate incumbent 58 15. Democratic Senate challenger 180 16. Republican Senate challenger 26. Major independent candidate If R Voted Outside District of Interview 81. Democratic Candidate in open Senate race 1 82. Republican Candidate in open Seante race 83. Democratic Incumbent 1 84. Republican Incumbent 85. Democratic challenger 86. Republican challenger 91. Democrat -- no name given 1 92. Republican -- no name given 16 97. Name given not on candidate list for this race 5 98. DK, refused to name candidate 16 99. NA 971 00. INAP, 5-7, 9 in Q.D1; 2 in Q.D7; 5, 7-9 in Q.D8/D12 ============================== VAR 940618 94PO: R'S SEN VOTE -PARTY (D8X/D12X.) COLUMNS 598 - 598 NUMERIC MISSING 0 OR GE 8 Q.D8x/D12x. CANDIDATE NAMED--U.S. SENATE ----------------------------------------- Built from Q.D8a/D12a 343 1. DEMOCRATIC CANDIDATE (11, 13, 15, 81, 83, 85, 91) 433 2. REPUBLICAN CANDIDATE (12, 14, 16, 82, 84, 86, 92) 11 3. THIRD PARTY/INDEPENDENT CANDIDATE (10) 16 7. Name given not in Candidate List for that race (97) 5 8. DK OR REFUSED (98) 16 9. NA (99) 971 0. INAP, 5, 6-7, 9 in Q.D1; 2 in Q.D7; 5, 7-9 in Q.D8/D12 ============================== VAR 940619 94PO: CKPT: GUB RACE? (D9.) COLUMNS 599 - 599 NUMERIC MISSING 0 OR GE 9 Q.D9. INTERVIEWER CHECKPOINT ----------------------------- 789 1. GOVERNOR'S RACE IN THIS STATE (CANDIDATE LIST INCLUDES AT LEAST ONE NAME FROM #51-#56) 236 2. NO GOVERNOR'S RACE (NO NAME FROM #51-#56 ON CANDIDATE LIST) (81, 82, 99 in V19; 0 in Q.D13-D10x/D13x) IN, NJ, KY, LA, MO, NJ, NC, UT, VA, WA, WV (22, 12, 51, 45, 34, 12, 47, 67, 40, 73, 56 in V13) 24 9. NA; 2 in Q.D5a 747 0. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b ============================== VAR 940620 94PO: DID R VOTE FOR GUB CAND (D10/D13.) COLUMNS 600 - 600 NUMERIC MISSING 0 OR GE 8 Q.D10. (BALLOT CARD) How about the election for Governor--did you vote for a candidate for Governor? Q.D13. How about the election for Governor--did you vote for a candidate for Governor? ---------------------------------------------------------- 792 1. YES 10 5. NO 5 7. R Volunteers: No Governor race in the state 2 8. DON'T KNOW 4 9. NA 982 0. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b; 2 in Q.D9 ============================== VAR 940621 94PO: R'S GUB VOTE (D10A/D13A.) COLUMNS 601 - 602 NUMERIC MISSING 0 OR GE 98 Q.D10a/D13a. Who did you vote for? (Precoded by interviewer) ------------------------------------------------- 50. Third part or independent Gubernatorial candidate 61 51. Democratic candidate in open Gubernatorial race 42 52. Republican candidate in open Gubernatorial race 153 53. Democratic Gubernatorial incumbent 244 54. Republican Gubernatorial incumbent 138 55. Democratic Gubernatorial challenger 121 56. Republican Gubernatorial challenger If R Voted Outside District of Interview 80. Independent or minor party candidate 81. Democratic candidate in open Gubernatorial race 1 82. Republican candidate in open Gubernatorial race 80. Independent or minor party candidate 83. Democratic incumbent 1 84. Republican incumbent 85. Democratic challenger 86. Republican challenger 87. Liberal or Conservative Candidate 91. Democrat -- no name given 92. Republican -- no name given 13 97. Name given not on candidate list for this race 4 98. DK, refused to name candidate 13 99. NA 1003 00. INAP, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b; 2 in Q.D9; 5, 7-9 in Q.D13 ============================== VAR 940622 94PO: R'S GUB VOTE -PARTY (D10X/D13X.) COLUMNS 603 - 603 NUMERIC MISSING 0 OR GE 8 Q.D10x/D13x. CANDIDATE NAMED--STATE GOVERNOR --------------------------------------------- Built from Q.D10a/D13a 351 1. DEMOCRATIC CANDIDATE (51, 53, 55, 81, 83, 85, 91) 410 2. REPUBLICAN CANDIDATE (52, 54, 56, 82, 84, 86, 92) 3. THIRD PARTY/INDEPENDENT CANDIDATE (50, 80) 13 7. Name given not in Candidate List for that race (97) 4 8. DK (98) 13 9. NA (99) 1003 0. INAP, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b; 2 in Q.D9; 5, 7-9 in Q.D13 ============================== VAR 940623 94PO: CKPT: FORM B OR Y (D14.) COLUMNS 604 - 604 NUMERIC MISSING 0 OR GE 8 Q.D14. INTERVIEWER CHECKPOINT ------------------------------- 364 1. R IS FORM B: USE BLUE BALLOT CARD 345 2. R IS FORM Y: USE YELOW BALLOT CARD 23 8. NA, IWR marked Form type different from assigned type or did not mark at all 14 9. NA, TELEPHONE IW 1049 0. Inap, 6-7, 9 in Q.D1; 1 in Q.D2b ============================== VAR 940624 94PO: NONVOTER- HSE CAND PREF? (D15.) COLUMNS 605 - 605 NUMERIC MISSING 0 OR GE 8 Q.D15. FOR R'S WHO DID NOT VOTE Here is a list of candidates for the major races in this district. How about the election for the House of Representatives in Washington. Did you prefer one of the candidates for the U.S. House of Representatives? --------------------------------------------------------- 370 1. YES 304 5. NO 45 8. DK 28 9. NA 1049 0. Inap, 1, 6-7, 9 in Q.D1 ============================== VAR 940625 94PO: NONV HSE CAND PREF (D15A.) COLUMNS 606 - 607 NUMERIC MISSING 0 OR GE 98 Q.D15a. Which candidate was that? ---------------------------------- Precoded by interviewer 30. Third party or independent House candidate 27 31. Democratic candidate in open House race 28 32. Republican candidate in open House race 156 33. Democratic House incumbent 94 34. Republican House incumbent 24 35. Democratic House challenger 27 36. Republican House challenger If R Voted Outside District of Interview 80. Independent or minor party House candidate 81. Democratic candidate in open House race 82. Republican candidate in open House race 83. Democratic incumbent 84. Republican incumbent 85. Democratic House challenger 86. Republican House challenger 91. Democrat -- no name given 92. Republican -- no name given 12 97. Name given not on candidate list for this race 98. DK, refused to name candidate 3 99. NA 1425 00. Inap, 1, 6-7, 9 in Q.D1; 1 in Q.D2b; 5, 8-9 in Q.D15 ============================== VAR 940626 94PO: NONV HSE CAND PREF-PARTY (D15X.) COLUMNS 608 - 608 NUMERIC MISSING 0 OR GE 8 Q.D15x. CANDIDATE NAMED--U.S. HOUSE OF REPRESENTATIVES ------------------------------------------------------- Built from Q.D15a 207 1. DEMOCRATIC CANDIDATE (31, 33, 35) 148 2. REPUBLICAN CANDIDATE (32, 34, 36) 3. THIRD PARTY/INDEPENDENT CANDIDATE (30) 12 7. Name given not in Candidate List for that race (97) 8. DK (98) 3 9. NA (99) 1425 0. INAP, 1, 6-7, 9 in Q.D1; 1 in Q.D2b; 5, 8-9 in Q.D15 ============================== VAR 940627 94PO: CKPT: INCUMB IN HSE RACE? (E0.) COLUMNS 609 - 609 NUMERIC NOMISSING DATA CODES Q.E0. INTERVIEWER CHECKPOINT ------------------------------- 1513 1. DISTRICT IN WHICH AN INCUMBENT IS RUNNING (CANDIDATE LIST INCLUDES # 33 OR #34) 282 2. NO INCUMBENT RUNNING (CANDIDATE LIST INCLUDES # 31, 32 OR BOTH) ============================== VAR 940628 94PO: R CONTACT HSE REPRESENTATVE? (E1.) COLUMNS 610 - 610 NUMERIC MISSING 0 OR GE 8 Q.E1. Have you (or anyone in your family living here) ever contacted Representative (NAME # 33 or 34) or anyone in (his/her) office? ------------------------------------------------------------ 221 1. YES 1263 5. NO 14 8. DON'T KNOW 16 9. NA 282 0. Inap, 2 in Q.E0 ============================== VAR 940629 94PO: HSE CONTACT- EXPRESS OPIN (E1A-1.) COLUMNS 611 - 611 NUMERIC MISSING 0 OR GE 8 Q.E1a. Was it to: (ACCEPT MORE THAN ONE MENTION) Q.E1a-1. express an opinion? --------------------------------------------------- USE SAME CODE FOR Q.E1a-2-E1c 195 1. YES 24 5. NO 2 8. DON'T KNOW 9. NA 1574 0. Inap, 2 in Q.E0; 5, 8-9 in Q.E1 ============================== VAR 940633 94PO: SATISF RESPONSE FR HSE REPR (E1C.) COLUMNS 615 - 615 NUMERIC MISSING 0 OR GE 8 Q.E1c. How satisfied were you with the response: very satisfied, somewhat satisfied, not very satisfied, or not at all satisfied? ------------------------------------------------------------ 110 1. VERY SATISFIED 51 2. SOMEWHAT SATISFIED 13 4. NOT VERY SATISFIED 17 5. NOT AT ALL SATISFIED 3 8. DON'T KNOW 2 9. NA 1600 0. Inap, 2 in Q.E0; 5, 8-9 in Q.E1; 5, 8-9 in Q.E1b ============================== VAR 940634 94PO: ANYONE ELS CONT HSE REPR? (E2.) COLUMNS 616 - 616 NUMERIC MISSING 0 OR GE 8 Q.E2. Do you know anyone else who has contacted Representative (NAME # 33 or 34) or anyone in (his/her) office? ------------------------------------------------------- 266 1. YES 1211 5. NO 20 8. DON'T KNOW 16 9. NA 282 0. Inap, 2 in Q.E0 ============================== VAR 940635 94PO: DID PERSON GET RESPONSE? (E2A.) COLUMNS 617 - 617 NUMERIC MISSING 0 OR GE 8 Q.E2a. Did this (person/group) get a response? ------------------------------------------------ 221 1. YES 13 5. NO 32 8. DON'T KNOW 9. NA 1529 0. Inap, 2 in Q.E0; 5, 8-9 in Q.E2 ============================== VAR 940636 94PO: WAS PERSON SATISF W/ RESP? (E2B.) COLUMNS 618 - 618 NUMERIC MISSING 0 OR GE 8 Q.E2b. How satisfied was this (person/group) with the response --very satisfied, somewhat satisfied, not very satisfied, or not at all satisfied? ------------------------------------------------------- 115 1. VERY SATISFIED 63 2. SOMEWHAT SATISFIED 10 4. NOT VERY SATISFIED 12 5. NOT AT ALL SATISFIED 19 8. DON'T KNOW 2 9. NA 1574 0. Inap, 2 in Q.E0; 5, 8-9 in Q.E2; 5, 8-9 in Q.E2a ============================== VAR 940637 94PO: APP/DIS HSE INC PERFORMANCE (E3.) COLUMNS 619 - 619 NUMERIC MISSING 0 OR GE 8 Q.E3. In general, do you approve or disapprove of the way Representative (NAME #33 or 34) has been handling (his/her) job? ------------------------------------------------------------ 888 1. APPROVE 204 5. DISAPPROVE 404 8. DON'T KNOW 17 9. NA 282 0. Inap, 2 in Q.E0 ============================== VAR 940638 94PO: APP/DIS HSE INC SCALE (E3A/E3B.) COLUMNS 620 - 620 NUMERIC MISSING 0 OR GE 8 Q.E3a. Do you approve strongly or not strongly? Q.E3b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 441 1. STRONGLY APPROVE 445 2. NOT STRONGLY APPROVE 105 4. NOT STRONGLY DISAPPROVE 99 5. STRONGLY DISAPPROVE 2 8. DK 9. NA 703 0. Inap, 2 in Q.E0; 8-9 in Q.E3 ============================== VAR 940639 94PO: WOULD HSE REP BE HELPFUL (E4.) COLUMNS 621 - 621 NUMERIC MISSING 0 OR GE 8 Q.E4. If you had (another/a) problem that Representative (NAME # 33, 34) could do something about, do you think (he/she) would be very helpful, somewhat helpful, or not very helpful to you? ----------------------------------------------------------- 304 1. VERY HELPFUL 692 2. SOMEWHAT HELPFUL 229 3. NOT VERY HELPFUL 48 7. DEPENDS 215 8. DON'T KNOW 24 9. NA 282 0. Inap, 2 in Q.E0 ============================== VAR 940640 94PO: HSE REP DO ANYTHING SPECIAL (E5.) COLUMNS 622 - 622 NUMERIC MISSING 0 OR GE 8 Q.E5. Do you happen to remember anything special that Representative (NAME # 33 or 34) has done for the people in (his/her) district while (he/she) has been in Congress? ----------------------------------------------------------- 286 1. YES 1205 5. NO 4 8. DK 18 9. NA 282 0. Inap, 2 in Q.E0 ============================== VAR 940641 94PO: R KNOW #YRS HSE REPR IN OFC? (E6.) COLUMNS 623 - 623 NUMERIC MISSING 0 OR GE 9 Q.E6. Do you happen to know about how many years (he/she) has been in the House of Representatives? ------------------------------------------------------------ 561 1. YES 938 5. NO, DON'T KNOW 15 9. NA 282 0. Inap, 2 in Q.E0 ============================== VAR 940642 94PO: HOW MANY YR HSE REPR IN OFC (E6A.) COLUMNS 624 - 625 NUMERIC MISSING 0 OR GE 98 Q.E6a. (About how many?) -------------------------- If range given, midpoint was coded. Fractions were rounded to even number. If number of terms was given the number of terms was multiplied by 2. Code actual number of YEARS (01-38) 98. DK 99. NA 00. Inap, 2 in Q.E0; 5, 8-9 in Q.E6 N=554 MEAN=7.700927 ST.DEV=6.750266 MIN=1.000000 MAX=38.00000 ============================== VAR 940643 94PO: LT OR GT 12 YR IN OFFICE (E6B.) COLUMNS 626 - 626 NUMERIC MISSING 0 OR GE 8 Q.E6b. Would you say less than 12 years, about 12 years, or more than 12 years? ---------------------------------------------------------- 470 1. LESS THAN 12 YEARS 173 3. ABOUT 12 YEARS 63 5. MORE THAN 12 YEARS 228 8. DON'T KNOW (DO NOT PROBE) 3 9. NA 857 0. Inap, 2 in Q.E0; 1, 8-9 in Q.E6 ============================== VAR 940644 94PO: HSE INC SUPPORT FOR CLINTON (E7.) COLUMNS 627 - 627 NUMERIC MISSING 0 OR GE 8 Q.E7. How often has Representative (NAME # 33 or 34) supported President Clinton's legislative proposals? More than half the time, half, less than half the time, or are you not sure? ---------------------------------------------------------- 203 1. MORE THAN HALF 99 3. HALF 169 5. LESS THAN HALF 1028 8. NOT SURE, DON'T KNOW 15 9. NA 282 0. Inap, 2 in Q.E0 ============================== VAR 940645 94PO: H INC SUPP CLINT ALM ALWAYS (E7A.) COLUMNS 628 - 628 NUMERIC MISSING 0 OR GE 8 Q.E7a. Would you say it was almost always? -------------------------------------------- 166 1. YES 34 5. NO 1 8. DK 1 9. NA 1592 0. Inap, 2 in Q.E0; 3, 5, 8-9 in Q.E7 ============================== VAR 940646 94PO: H INC SUPP CLINT ALM NEVER (E7B.) COLUMNS 629 - 629 NUMERIC MISSING 0 OR GE 8 Q.E7b Would you say it was almost never? ------------------------------------------ 102 1. YES 64 5. NO 2 8. DK 1 9. NA 1626 0. Inap, 2 in Q.E0; 1, 3, 8-9 in Q.E7 ============================== VAR 940647 94PO: H INC SUPP CLINT HALF TIME (E7C.) COLUMNS 630 - 630 NUMERIC MISSING 0 OR GE 8 Q.E7c. What would be your best guess--more than half the time, half the time, or less than half the time? ---------------------------------------------------------- 208 1. MORE THAN HALF 348 3. HALF 281 5. LESS THAN HALF 187 8. DON'T KNOW 4 9. NA 767 0. Inap, 2 in Q.E0; 1, 3, 5, 9 in Q.E7 ============================== VAR 940648 94PO: HSE INC VOTE FOR CRIME BILL (E8.) COLUMNS 631 - 631 NUMERIC MISSING 0 OR GE 8 Q.E8. One of the main parts of President Clinton's program this year was his crime bill. Did Representative (NAME #33 OR 34) vote for or against the crime bill? --------------------------------------------------------- 428 1. VOTED FOR CRIME BILL 68 2. R VOLUNTEERS "THINK HE/SHE VOTED FOR IT; HE/SHE MUST HAVE VOTED FOR IT" 37 4. R VOLUNTEERS "THINK HE/SHE VOTED AGAINST IT; HE/SHE MUST HAVE VOTED AGAINST IT" 113 5. VOTED AGAINST CRIME BILL 852 8. DK 15 9. NA 282 0. Inap, 2 in Q.E0 ============================== VAR 940649 94PO: GUESS-H INC VOTE CRIME BILL (E8A.) COLUMNS 632 - 632 NUMERIC MISSING 0 OR GE 8 Q.E8a. What would be your best guess? (Did [he/she] vote for or against the crime bill?) ----------------------------------------------------------- 492 1. VOTED FOR CRIME BILL 130 5. VOTED AGAINST CRIME BILL 228 8. DON'T KNOW (DO NOT PROBE) 2 9. NA 943 0. Inap, 2 in Q.E0; 1-2, 4-5, 9 in Q.E8 ============================== VAR 940650 94PO: H INC SOLV PROB OR PRESTIGE (E9.) COLUMNS 633 - 633 NUMERIC MISSING 0 OR GE 8 Q.E9. (RB, P. 4) (Looking at page 4 of the booklet) Generally speaking, do you think your representative cares more about solving the problems that face people in your district, or more about gaining prestige and influence for (himself/herself) in Washington? ---------------------------------------------------------- 797 1. SOLVING PROBLEMS 87 3. R VOLUNTEERS: "ABOUT EQUAL" 483 5. GAINING PRESTIGE AND INFLUENCE 132 8. DON'T KNOW 14 9. NA 282 0. Inap, 2 in Q.E0 ============================== VAR 940651 94PO: FAV/OPP TERM LIMITS (E10.) COLUMNS 634 - 634 NUMERIC MISSING GE 8 Q.E10. (Not using the booklet) A law has been proposed that would limit members of Congress to no more than 12 consecutive years of service in that office. Do you favor or oppose such a law? ---------------------------------------------------------- 1349 1. FAVOR 353 5. OPPOSE 30 7. OTHER: SPECIFY 54 8. DON'T KNOW 9 9. NA ============================== VAR 940652 94PO: R REPUB, DEM OR INDEP (E11.) COLUMNS 635 - 635 NUMERIC MISSING GE 8 Q.E11. Generally speaking, do you usually think of yourself as a Republican, a Democrat, an Independent, or what? -------------------------------------------------------- 541 1. REPUBLICAN 514 2. INDEPENDENT 113 3. NO PREFERENCE 5 4. OTHER PARTY 614 5. DEMOCRAT 2 8. DK 6 9. NA ============================== VAR 940653 94PO: IS R STRONG REPUB/DEM (E11A/E11B.) COLUMNS 636 - 636 NUMERIC MISSING 0 OR GE 8 Q.E11a. Would you call yourself a strong Republican or a not very strong Republican? Q.E11b. Would you call yourself a strong Democrat or a not very strong Democrat? ----------------------------------------------------------- 558 1. STRONG 593 5. NOT VERY STRONG 8. DK 4 9. NA 640 0. Inap, 2-4, 8-9 in Q.E11 ============================== VAR 940654 94PO: R CLOSER TO REPUB/DEM (E11C.) COLUMNS 637 - 637 NUMERIC MISSING 0 OR GE 8 Q.E11c. Do you think of yourself as closer to the Republican Party or the Democratic Party? -------------------------------------------------- 208 1. CLOSER TO REPUBLICAN 192 3. NEITHER 229 5. CLOSER TO DEMOCRAT 1 8. DK 2 9. NA 1163 0. Inap, 1, 5, 8-9 in Q.E11 ============================== VAR 940655 94PO: PARTY ID SUMMARY (E11X.) COLUMNS 638 - 638 NUMERIC MISSING GE 9 Q.E11x. SUMMARY: R's Party ID ------------------------------- Built from Q.E11-E11c The numbers in parentheses refer to responses to Q.E11-E11c. Code 8 (APOLITICAL) was used only if Respondent had a code of 3 (NO PREFERENCE) in Q.E11 and a code of 3, 8, or 9 (NEITHER, DK, OR NA) in Q.Ellc and also showed little or no interest in politics in response to each of the following questions: A1. B9, D1, F1. Respondents who showed interest in politics in response to A1, B9, D1, or F1 were recoded to 3. 276 0. STRONG DEMOCRAT (510) 338 1. WEAK DEMOCRAT (550, 580, 590) 229 2. INDEPENDENT-DEMOCRAT (205, 305, 405) 180 3. INDEPENDENT-INDEPENDENT (203, 208, 209) 208 4. INDEPENDENT-REPUBLICAN (201, 301, 401) 259 5. WEAK REPUBLICAN (150, 180, 190) 282 6. STRONG REPUBLICAN (110) 7. OTHER-MINOR PARTY, REFUSES TO SAY (403, 408, 409) 15 8. APOLITICAL (303, 308, 309) 8 9. NA (800, 900) ============================== VAR 940701 94PO: R FOLLOW PUBLIC AFFAIRS (F1.) COLUMNS 639 - 639 NUMERIC MISSING GE 8 Q.F1. Some people seem to follow what's going on in government and public affairs most of the time, whether there's an election going on or not. Others aren't that interested. Would you say you follow what's going on in government and public affairs most of the time, some of the time, only now and then, or hardly at all? ----------------------------------------------------------- 522 1. MOST OF THE TIME 610 2. SOME OF THE TIME 414 3. ONLY NOW AND THEN 225 4. HARDLY AT ALL 2 8. DON'T KNOW 22 9. NA ============================== VAR 940702 94PO: #1 MOST IMP PROBLEM (F2.) COLUMNS 640 - 642 NUMERIC MISSING 0 OR GE 998 Q.F2(1). What do you think are the most important problems facing this country? <1st mention> (PROBE: Any other important problems facing the country? UNTIL R SAYS "NO.") ---------------------------------------------------------- See IMPORTANT PROBLEM Master Code, except: 998. DK 999. NA 000. Inap, 998-999 in Q.F2(1); no further mention ============================== VAR 940703 94PO: #2 MOST IMP PROBLEM (F2.) COLUMNS 643 - 645 NUMERIC MISSING 0 OR GE 998 Q.F2(2). What do you think are the most important problems facing this country? <2nd mention> (PROBE: Any other important problems facing the country? UNTIL R SAYS "NO.") ---------------------------------------------------------- See IMPORTANT PROBLEM Master Code, except: 998. DK 999. NA 000. Inap, 998-999 in Q.F2(1); no further mention ============================== VAR 940704 94PO: #3 MOST IMP PROBLEM (F2.) COLUMNS 646 - 648 NUMERIC MISSING 0 OR GE 998 Q.F2(3). What do you think are the most important problems facing this country? <3rd mention> (PROBE: Any other important problems facing the country? UNTIL R SAYS "NO.") ---------------------------------------------------------- See IMPORTANT PROBLEM Master Code, except: 998. DK 999. NA 000. Inap, 998-999 in Q.F2(1); no further mention ============================== VAR 940705 94PO: NO. M IMP PROBS MENTIONED (F3.) COLUMNS 649 - 649 NUMERIC NOMISSING DATA CODES Q.F3. INTERVIEWER CHECKPOINT ------------------------------- 47 1. R HAS NOT MENTIONED ANY PROBLEMS (998, 999 in Q.F2(1)) 254 2. R HAS MENTIONED ONLY ONE PROBLEM 1494 3. ALL OTHERS ============================== VAR 940706 94PO: WHICH PROB IS MOST IMP (F4.) COLUMNS 650 - 652 NUMERIC MISSING 0 OR GE 998 Q.F4. Of those you've mentioned, what would you say is the single most important problem the country faces? --------------------------------------------------------- Use IMPORTANT PROBLEM Master Code, except: 998. DK 999. NA 000. Inap, 1 in Q.F3 ============================== VAR 940707 94PO: PTY TO DEAL W/MOST IMP PROB (F5.) COLUMNS 653 - 653 NUMERIC MISSING 0 OR GE 8 Q.F5. Which political party do you think would be most likely to get the government to do a better job in dealing with this problem--the Republicans, the Democrats, or wouldn't there be much difference between them? ---------------------------------------------------------- 500 1. REPUBLICANS 930 3. NOT MUCH DIFFERENCE 276 5. DEMOCRATS 33 8. DON'T KNOW 8 9. NA 47 0. Inap, 1 in Q.F3 ============================== VAR 940708 94PO: ANY DIFFS BETW D/R PARTIES? (F6.) COLUMNS 654 - 654 NUMERIC MISSING GE 8 Q.F6. Do you think there are any important differences in what the Republicans and Democrats stand for? ------------------------------------------------------------ 924 1. YES 734 5. NO 129 8. DK 9 9. NA ============================== VAR 940709 94PO: #1 PARTY DIFFERENCE (F6A-1.) COLUMNS 655 - 655 NUMERIC MISSING 0 OR GE 8 Q.F6a-1(1). What are those differences? <1st mention> ----------------------------------------------------- Responses that refer specifically to the candidates rather than parties were coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the responses were coded in the appropriate code category. 394 1. Democratic party mention 2 2. Democratic presidential candidate mention 1 4. Republican presidential candidate mention 406 5. Republican party mention 6. Other party mentioned instead 107 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 11 8. DK 3 9. NA 871 0. Inap, 5, 8-9 in Q.F6; no further mention ============================== VAR 940710 94PO: #1 PARTY DIFFRNCE CONTENT (F6A-2.) COLUMNS 656 - 658 NUMERIC MISSING 0 OR GE 998 Q.F6a-2(1). CONTENT CODE <1st mention> -------------------------------------- See PARTY DIFFERENCES Master Code 998. DK Q.F6a-2(1) only; 8 in Q.F6a-1(1) 999. NA Q.F6a-2(1) only; 9 in Q.F6a-1(1) 000. Inap, 5, 8-9 in Q.F6; 8-9 in Q.F6a-1(1); no further mention ============================== VAR 940711 94PO: #2 PARTY DIFFERENCE (F6A-1.) COLUMNS 659 - 659 NUMERIC MISSING 0 OR GE 8 Q.F6a-1(2). What are those differences? <2nd mention> ----------------------------------------------------- Responses that refer specifically to the candidates rather than parties were coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the responses were coded in the appropriate code category. 321 1. Democratic party mention 1 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 363 5. Republican party mention 2 6. Other party mentioned instead 54 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK 9. NA 1054 0. Inap, 5, 8-9 in Q.F6; no further mention ============================== VAR 940712 94PO: #2 PARTY DIFFRNCE CONTENT (F6A-2.) COLUMNS 660 - 662 NUMERIC MISSING 0 OR GE 998 Q.F6a-2(2). CONTENT CODE <2nd mention> -------------------------------------- See PARTY DIFFERENCES Master Code 998. DK 999. NA 1054 000. Inap, 5, 8-9 in Q.F6; 8-9 in Q.F6a-1(1); no further mention ============================== VAR 940713 94PO: #3 PARTY DIFFERENCE (F6A-1.) COLUMNS 663 - 663 NUMERIC MISSING 0 OR GE 8 Q.F6a-1(3). What are those differences? <3rd mention> ----------------------------------------------------- Responses that refer specifically to the candidates rather than parties were coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the responses were coded in the appropriate code category. 148 1. Democratic party mention 3 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 194 5. Republican party mention 6. Other party mentioned instead 29 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK 9. NA 1421 0. Inap, 5, 8-9 in Q.F6; no further mention ============================== VAR 940714 94PO: #3 PARTY DIFFRNCE CONTENT (F6A-2.) COLUMNS 664 - 666 NUMERIC MISSING 0 OR GE 998 Q.F6a-2(3). CONTENT CODE <3rd mention> -------------------------------------- See PARTY DIFFERENCES Master Code 998. DK 999. NA 000. Inap, 5, 8-9 in Q.F6; 8-9 in Q.F6a-1(1); no further mention ============================== VAR 940715 94PO: #4 PARTY DIFFERENCE (F6A-1.) COLUMNS 667 - 667 NUMERIC MISSING 0 OR GE 8 Q.F6a-1(4). What are those differences? <4th mention> ----------------------------------------------------- Responses that refer specifically to the candidates rather than parties were coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the responses were coded in the appropriate code category. 88 1. Democratic party mention 1 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 125 5. Republican party mention 6. Other party mentioned instead 16 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK 9. NA 1565 0. Inap, 5, 8-9 in Q.F6; no further mention ============================== VAR 940716 94PO: #4 PARTY DIFFRNCE CONTENT (F6A-2.) COLUMNS 668 - 670 NUMERIC MISSING 0 OR GE 998 Q.F6a-2(4). CONTENT CODE <4th mention> -------------------------------------- See PARTY DIFFERENCES Master Code 998. DK 999. NA 000. Inap, 5, 8-9 in Q.F6; 8-9 in Q.F6a-1(1); no further mention ============================== VAR 940717 94PO: #5 PARTY DIFFERENCE (F6A-1.) COLUMNS 671 - 671 NUMERIC MISSING 0 OR GE 8 Q.F6a-1(5). What are those differences? <5th mention> ----------------------------------------------------- Responses that refer specifically to the candidates rather than parties were coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the responses were coded in the appropriate code category. 50 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 48 5. Republican party mention 6. Other party mentioned instead 8 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK 9. NA 1689 0. Inap, 5, 8-9 in Q.F6; no further mention ============================== VAR 940718 94PO: #5 PARTY DIFFRNCE CONTENT (F6A-2.) COLUMNS 672 - 674 NUMERIC MISSING 0 OR GE 998 Q.F6a-2(5). CONTENT CODE <5th mention> -------------------------------------- See PARTY DIFFERENCES Master Code 998. DK 999. NA 000. Inap, 5, 8-9 in Q.F6; 8-9 in Q.F6a-1(1); no further mention ============================== VAR 940719 94PO: #6 PARTY DIFFERENCE (F6A-1.) COLUMNS 675 - 675 NUMERIC MISSING 0 OR GE 8 Q.F6a-1(6). What are those differences? <6th mention> ----------------------------------------------------- Responses that refer specifically to the candidates rather than parties were coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the responses were coded in the appropriate code category. 25 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 19 5. Republican party mention 6. Other party mentioned instead 4 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK 9. NA 1747 0. Inap, 5, 8-9 in Q.F6; no further mention ============================== VAR 940720 94PO: #6 PARTY DIFFRNCE CONTENT (F6A-2.) COLUMNS 676 - 678 NUMERIC MISSING 0 OR GE 998 Q.F6a-2(6). CONTENT CODE <6th mention> -------------------------------------- See PARTY DIFFERENCES Master Code 998. DK 999. NA 000. Inap, 5, 8-9 in Q.F6; 8-9 in Q.F6a-1(1); no further mention ============================== VAR 940801 94PO: DID PARTIES CONTACT R (G1.) COLUMNS 679 - 679 NUMERIC MISSING GE 8 Q.G1. As you know, the political parties try to talk to as many people as they can to get them to vote for their candidate. Did anyone from one of the political parties call you up or come around and talk to you about the campaign this year? ---------------------------------------------------------- 466 1. YES 1315 5. NO 7 8. DK 7 9. NA ============================== VAR 940802 94PO: WHICH PARTY CONTACTED R (G1A.) COLUMNS 680 - 680 NUMERIC MISSING 0 OR GE 8 Q.G1a. Which party was that? ------------------------------ 156 1. REPUBLICAN 124 3. BOTH 140 5. DEMOCRATIC 2 7. OTHER, SPECIFY 44 8. DON'T KNOW 9. NA 1329 0. Inap, 5, 8-9 in Q.G1 ============================== VAR 940803 94PO: ANYONE ELSE CONT R ABT CANDS (G2.) COLUMNS 681 - 681 NUMERIC MISSING GE 8 Q.G2. Other than someone from the two major parties, did anyone (else) call you up or come around and talk to you about supporting specific candidates in this last election? ----------------------------------------------------------- 197 1. YES 1579 5. NO 10 8. DON'T KNOW 9 9. NA ============================== VAR 940804 94PO: #1 CAND SUPPORT ASKED (G2A.) COLUMNS 682 - 683 NUMERIC MISSING 0 OR GE 98 Q.G2a(1). Which candidate(s) did (he/she/they) ask you to support? <1st mention> ----------------------------------------------------------- Precoded by interviewer REPUBLICAN CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 10. Independent/minor party candidate 6 12. U.S. Senate candidate, Republican, in state without incumbent 1 14. U.S. Senate incumbent candidate, Republican 5 16. U.S. Senate candidate challenger candidate, Republican Governor 52. Gubernatorial candidate, Republican, in state without incumbent 2 54. Gubernatorial incumbent candidate, Republican 56. Gubernatorial candidate challenger candidate, Republican House 4 32. U.S. House candidate, Republican, in district without incumbent 17 34. U.S. House incumbent candidate, Republican 6 36. U.S. House candidate challenger candidate, Republican 28. Republican Candidate(s)--NA which candidate(s) 1 29. Other Republican Candidate--any office level DEMOCRATIC CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 3 11. U.S. Senate candidate, Democratic, in state without incumbent 7 13. U.S. Senate incumbent candidate, Democratic 1 15. U.S. Senate candidate challenger candidate, Democratic Governor 1 51. Gubernatorial candidate, Democratic, in state without incumbent 5 53. Gubernatorial incumbent candidate, Democratic 6 55. Gubernatorial candidate challenger candidate, Democratic House 7 31. U.S. House candidate, Democratic, in district without incumbent 16 33. U.S. House incumbent candidate, Democratic 3 35. U.S. House candidate challenger candidate, Democratic 68. Democratic Candidate(s)--NA which candidate(s) 69. Other Democratic Candidate--any office level PARTY ORGANIZATION MENTIONED AS SUCH 1 71. Republican Party 75. Democratic Party 1 79. Other party (only) OTHER 2 80. Other independent or minor party candidate--any office level 85. Third/other party INDEPENDENT CANDIDATES 50. Gubernatorial candidate, Independent, in state without incumbent 26. Senate candidate, Independent, in state with Democratic incumbent and republican candidate 93. Democratic candidate for short-term Senate seat (Tennessee) 94. Republican candidate for short-term Senate seat (Tennessee) 27 95. Other candidate(s) for state/local offices (office level given but party NA) 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates 30 97. Candidate name given but party/office level NA (low priority) 36 98. DON'T KNOW, CAN'T REMEMBER Q.G2a(1) only: 0 in Q.G2a(2) 10 99. NA (Q.G2a(1) only) 1598 00. Inap, 5, 8-9 in Q.G2; 98-99 in Q.G2a(1); no further mention ============================== VAR 940805 94PO: #2 CAND SUPPORT ASKED (G2A.) COLUMNS 684 - 685 NUMERIC MISSING 0 OR GE 98 Q.G2a(2). Which candidate(s) did (he/she/they) ask you to support? <2nd mention> ----------------------------------------------------------- Precoded by interviewer REPUBLICAN CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 2 12. U.S. Senate candidate, Republican, in state without incumbent 2 14. U.S. Senate incumbent candidate, Republican 8 16. U.S. Senate candidate challenger candidate, Republican Governor 52. Gubernatorial candidate, Republican, in state without incumbent 1 54. Gubernatorial incumbent candidate, Republican 1 56. Gubernatorial candidate challenger candidate, Republican House 32. U.S. House candidate, Republican, in district without incumbent 1 34. U.S. House incumbent candidate, Republican 5 36. U.S. House candidate challenger candidate, Republican 28. Republican Candidate(s)--NA which candidate(s) 1 29. Other Republican Candidate--any office level DEMOCRATIC CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 1 11. U.S. Senate candidate, Democratic, in state without incumbent 2 13. U.S. Senate incumbent candidate, Democratic 1 15. U.S. Senate candidate challenger candidate, Democratic Governor 1 51. Gubernatorial candidate, Democratic, in state without incumbent 2 53. Gubernatorial incumbent candidate, Democratic 3 55. Gubernatorial candidate challenger candidate, Democratic House 31. U.S. House candidate, Democratic, in district without incumbent 3 33. U.S. House incumbent candidate, Democratic 2 35. U.S. House candidate challenger candidate, Democratic 68. Democratic Candidate(s)--NA which candidate(s) 69. Other Democratic Candidate--any office level PARTY ORGANIZATION MENTIONED AS SUCH 71. Republican Party 75. Democratic Party 79. Other party (only) OTHER 80. Other independent or minor party candidate--any office level 85. Third/other party INDEPENDENT CANDIDATES 50. Gubernatorial candidate, Independent, in state without incumbent 26. Senate candidate, Independent, in state with Democratic incumbent and republican candidate 93. Democratic candidate for short-term Senate seat (Tennessee) 94. Republican candidate for short-term Senate seat (Tennessee) 6 95. Other candidate(s) for state/local offices (office level given but party NA) 2 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates 3 97. Candidate name given but party/office level NA (low priority) 98. DON'T KNOW, CAN'T REMEMBER Q.G2a(1) only: 0 in Q.G2a(2) 99. NA (Q.G2a(1) only) 1748 00. Inap, 5, 8-9 in Q.G2; 98-99 in Q.G2a(1); no further mention ============================== VAR 940806 94PO: ANYONE TALK TO R ABT VOT/REG (G3.) COLUMNS 686 - 686 NUMERIC MISSING GE 8 Q.G3. During the campaign this year, did anyone talk to you about registering to vote or getting out to vote? ---------------------------------------------------------- [INTERVIEWER INSTRUCTION]: IF R RECEIVED A CALL ON ELECTION DAY REMINDING HIM/HER TO VOTE, OR OFFERING A RIDE, THAT COUNTS AS "YES". 518 1. YES 1265 5. NO 4 8. DON'T KNOW 8 9. NA ============================== VAR 940807 94PO: ANY MORAL/RELG GRPS CONTCT R (G4.) COLUMNS 687 - 687 NUMERIC MISSING GE 8 Q.G4. Were there any groups concerned with moral or religious issues that tried to encourage you to vote in a particular way? --------------------------------------------------------- 177 1. YES THERE WERE 1611 5. NO THERE WEREN'T 8. DK 7 9. NA ============================== VAR 940808 94PO: R ADVISE ANYONE ABOUT VOTING (G5.) COLUMNS 688 - 688 NUMERIC MISSING GE 8 Q.G5. We would like to find out about some of the things people do to help a party or a candidate win an election. During the campaign, did you talk to any people and try to show them why they should vote for or against one of the parties or candidates? ----------------------------------------------------------- 407 1. YES 1380 5. NO 8. DK 8 9. NA ============================== VAR 940809 94PO: R DISPLAY BUTTON/STICKR/SIGN (G6.) COLUMNS 689 - 689 NUMERIC MISSING GE 8 Q.G6. Did you wear a campaign button, put a campaign sticker on your car, or place a sign in your window or in front of your house? --------------------------------------------------------- 128 1. YES 1659 5. NO 8. DK 8 9. NA ============================== VAR 940810 94PO: R GO MEETINGS, RALLIES ETC. (G7.) COLUMNS 690 - 690 NUMERIC MISSING GE 8 Q.G7. Did you go to any political meetings, rallies, speeches, dinners, or things like that in support of a particular candidate? ------------------------------------------------------- 109 1. YES 1679 5. NO 8. DK 7 9. NA ============================== VAR 940811 94PO: R DO (OTHR) WORK FOR CAN/PTY (G8.) COLUMNS 691 - 691 NUMERIC MISSING GE 8 Q.G8. Did you do any (other) work for one of the parties or candidates? ----------------------------------------------------------- 57 1. YES 1729 5. NO 8. DK 9 9. NA ============================== VAR 940812 94PO: R CONTRIBUTE TO CANDIDATE (G9.) COLUMNS 692 - 692 NUMERIC MISSING GE 8 Q.G9. During an election year people are often asked to make a contribution to support campaigns. Did you give money to an individual candidate running for public office? ----------------------------------------------------------- 83 1. YES 1702 5. NO 3 8. DON'T KNOW 7 9. NA ============================== VAR 940813 94PO: PARTY OF CAND CONTRIBUTION (G9A.) COLUMNS 693 - 693 NUMERIC MISSING 0 OR GE 8 Q.G9a. Which party did that candidate belong to? -------------------------------------------------- 40 1. REPUBLICAN 6 3. BOTH 32 5. DEMOCRATIC 3 7. OTHER, SPECIFY 1 8. DON'T KNOW 1 9. NA 1712 0. Inap, 5, 8-9 in Q.G9 ============================== VAR 940814 94PO: R CONTRIBUTE TO PARTY (G10.) COLUMNS 694 - 694 NUMERIC MISSING GE 8 Q.G10. Did you give money to a political party during this election year? ------------------------------------------------------------ 78 1. YES 1707 5. NO 2 8. DK 8 9. NA ============================== VAR 940815 94PO: PARTY OF CONTRIBUTION (G10A.) COLUMNS 695 - 695 NUMERIC MISSING 0 OR GE 8 Q.G10a. To which party did you give money? ------------------------------------------- 47 1. REPUBLICAN 4 3. BOTH 22 5. DEMOCRATIC 5 7. OTHER, SPECIFY 8. DON'T KNOW 9. NA 1717 0. Inap, 5, 8-9 in Q.G10 ============================== VAR 940816 94PO: R CONTRIB TO ANY OTH GROUP (G11.) COLUMNS 696 - 696 NUMERIC MISSING GE 8 Q.G11. Did you give any money to any other group that supported or opposed candidates? ------------------------------------------------------- 87 1. YES 1689 5. NO 5 8. DON'T KNOW 14 9. NA ============================== VAR 940817 94PO: ENVIRONMENT - FED SPENDING (H1A.) COLUMNS 697 - 697 NUMERIC MISSING GE 8 Q.H1. If you had a say in making up the federal budget this year, for which of the following programs would you like to see spending increased and for which would you like to see spending decreased Q.H1a. Should federal spending on improving and protecting the environment be increased, decreased, or kept about the same? ------------------------------------------------------------ 704 1. INCREASED 857 2. SAME 188 3. DECREASED 36 8. DON'T KNOW 9 9. NA ============================== VAR 940818 94PO: FOREIGN AID -FED SPENDING (H1B.) COLUMNS 698 - 698 NUMERIC MISSING GE 8 Q.H1b. Should federal spending on aid to countries of the former Soviet Union be increased, decreased, or kept about the same? ----------------------------------------------------------- 122 1. INCREASED 647 2. SAME 968 3. DECREASED 46 8. DON'T KNOW 11 9. NA ============================== VAR 940819 94PO: SOC SECURITY -FED SPENDING (H1C.) COLUMNS 699 - 699 NUMERIC MISSING GE 8 Q.H1c. Social Security? ------------------------- 907 1. INCREASED 757 2. SAME 84 3. DECREASED 32 8. DON'T KNOW 15 9. NA ============================== VAR 940820 94PO: WELFARE -FED SPENDING (H1D.) COLUMNS 700 - 700 NUMERIC MISSING GE 8 Q.H1d. Welfare programs? -------------------------- 226 1. INCREASED 580 2. SAME 924 3. DECREASED 52 8. DON'T KNOW 13 9. NA ============================== VAR 940821 94PO: AIDS RESEARCH -FED SPENDING (H1E.) COLUMNS 701 - 701 NUMERIC MISSING GE 8 Q.H1e. Spending on AIDS research? ----------------------------------- 873 1. INCREASED 629 2. SAME 238 3. DECREASED 43 8. DON'T KNOW 11 9. NA ============================== VAR 940822 94PO: FOOD STAMPS -FED SPENDING (H1F.) COLUMNS 702 - 702 NUMERIC MISSING GE 8 Q.H1f. Should federal spending on food stamps be increased, decreased, or kept about the same? -------------------------------------------------- 170 1. INCREASED 825 2. SAME 731 3. DECREASED 53 8. DON'T KNOW 16 9. NA ============================== VAR 940823 94PO: PUBL SCHOOLS -FED SPENDING (H1G.) COLUMNS 703 - 703 NUMERIC MISSING GE 8 Q.H1g. Public schools? ------------------------ 1195 1. INCREASED 442 2. SAME 118 3. DECREASED 29 8. DON'T KNOW 11 9. NA ============================== VAR 940824 94PO: CHILD CARE -FED SPENDING (H1I.) COLUMNS 704 - 704 NUMERIC MISSING GE 8 Q.H1i. Child care? -------------------- 968 1. INCREASED 595 2. SAME 164 3. DECREASED 55 8. DON'T KNOW 12 9. NA ============================== VAR 940825 94PO: DEAL W/CRIME -FED SPENDING (H1J.) COLUMNS 705 - 705 NUMERIC MISSING GE 8 Q.H1j. Dealing with crime? ---------------------------- 1316 1. INCREASED 351 2. SAME 81 3. DECREASED 34 8. DON'T KNOW 13 9. NA ============================== VAR 940826 94PO: HEALTH CARE -FED SPENDING (H1K.) COLUMNS 706 - 706 NUMERIC MISSING GE 8 Q.H1k. Health care? --------------------- 1114 1. INCREASED 475 2. SAME 161 3. DECREASED 33 8. DON'T KNOW 11 9. NA ============================== VAR 940827 94PO: DEFENSE -FED SPENDING (H1M.) COLUMNS 707 - 707 NUMERIC MISSING GE 8 Q.H1m. Defense spending? -------------------------- 402 1. INCREASED 836 2. SAME 517 3. DECREASED 30 8. DON'T KNOW 9 9. NA ============================== VAR 940828 94PO: WHICH PARTY RAISE TAXES (H2.) COLUMNS 708 - 708 NUMERIC MISSING GE 8 Q.H2. Which party is more likely to raise taxes, the Democrats, the Republicans, or wouldn't there be much difference between them? ------------------------------------------------------- 498 1. DEMOCRATS 1035 3. NOT MUCH DIFFERENCE 210 5. REPUBLICANS 43 8. DON'T KNOW 10 9. NA ============================== VAR 940829 94PO: WHICH PARTY HANDLE ECONOMY (H3A.) COLUMNS 709 - 709 NUMERIC MISSING GE 8 Q.H3. Which party do you think would do a better job of handling the nation's economy..., the Democrats, the Republicans, or wouldn't there be much difference between them? Q.H3a. (...HANDLING THE NATION'S ECONOMY?) ---------------------------------------------------------- 273 1. DEMOCRATS 903 3. NO DIFFERENCE 543 5. REPUBLICANS 28 6. NEITHER 38 8. DK 10 9. NA ============================== VAR 940830 94PO: WHICH PARTY HANDLE POLLUTN (H3B.) COLUMNS 710 - 710 NUMERIC MISSING GE 8 Q.H3b. ...handling the problem of pollution and protecting the environment? ------------------------------------------------------------ 580 1. DEMOCRATS 883 3. NO DIFFERENCE 213 5. REPUBLICANS 43 6. NEITHER 65 8. DK 12 9. NA ============================== VAR 940831 94PO: WHICH PARTY HANDLE CRIME (H3C.) COLUMNS 711 - 711 NUMERIC MISSING GE 8 Q.H3c. ...dealing with the crime problem? ------------------------------------------- 330 1. DEMOCRATS 800 3. NO DIFFERENCE 538 5. REPUBLICANS 53 6. NEITHER 54 8. DK 20 9. NA ============================== VAR 940832 94PO: WHICH PTY HANDLE FOREIGN AF (H3D.) COLUMNS 712 - 712 NUMERIC MISSING GE 8 Q.H3d. ...handling foreign affairs? ------------------------------------- 230 1. DEMOCRATS 714 3. NO DIFFERENCE 737 5. REPUBLICANS 29 6. NEITHER 66 8. DK 18 9. NA ============================== VAR 940833 94PO: WHICH PTY FIX HEALTH CARE (H3E.) COLUMNS 713 - 713 NUMERIC MISSING GE 8 Q.H3e. ...making health care more affordable? ----------------------------------------------- 673 1. DEMOCRATS 614 3. NO DIFFERENCE 369 5. REPUBLICANS 60 6. NEITHER 68 8. DK 11 9. NA ============================== VAR 940834 94PO: WHICH PARTY REFORM WELFARE (H3F.) COLUMNS 714 - 714 NUMERIC MISSING GE 8 Q.H3f. ...reforming the welfare system? ----------------------------------------- 395 1. DEMOCRATS 618 3. NO DIFFERENCE 651 5. REPUBLICANS 52 6. NEITHER 67 8. DK 11 9. NA ============================== VAR 940835 94PO: CLINTON EVER MADE R ANGRY (H4A.) COLUMNS 715 - 715 NUMERIC MISSING GE 8 Q.H4. Think about Bill Clinton. Has Bill Clinton--because of the kind of person he is, or because of somethign he has done--ever made you feel: Q.H4a. angry? ----------------------------------------------------------- 830 1. YES, HAVE FELT 950 5. NO; NEVER FELT 2 8. DK 13 9. NA ============================== VAR 940836 94PO: CLINTON EVER MADE R HOPEUFL (H4B.) COLUMNS 716 - 716 NUMERIC MISSING GE 8 Q.H4b. hopeful? ----------------- 899 1. YES, HAVE FELT 882 5. NO; NEVER FELT 2 8. DK 12 9. NA ============================== VAR 940837 94PO: CLINTON EVER MADE R AFRAID (H4C.) COLUMNS 717 - 717 NUMERIC MISSING GE 8 Q.H4c. afraid? ---------------- 592 1. YES, HAVE FELT 1187 5. NO; NEVER FELT 3 8. DK 13 9. NA ============================== VAR 940838 94PO: CLINTON EVER MADE R PROUD (H4D.) COLUMNS 718 - 718 NUMERIC MISSING GE 8 Q.H4d. proud? --------------- 575 1. YES, HAVE FELT 1200 5. NO; NEVER FELT 6 8. DK 14 9. NA ============================== VAR 940839 94PO: R SELF-RATED, 7-PT. LIB/CON (H5A.) COLUMNS 719 - 719 NUMERIC MISSING 0 OR GE 8 Q.H5. (RB, P. 5) We hear a lot of talk these days about liberals and conservatives. Here is a seven-point scale on which the political views that people might hold are arranged from extremely liberal to extremely conservative. Q.H5a. Where would you place yourself on this scale, or haven't you thought much about this? ----------------------------------------------------------- 25 1. EXTREMELY LIBERAL 113 2. LIBERAL 138 3. SLIGHTLY LIBERAL 476 4. MODERATE; MIDDLE OF THE ROAD 260 5. SLIGHTLY CONSERVATIVE 323 6. CONSERVATIVE 57 7. EXTREMELY CONSERVATIVE 14 8. DON'T KNOW 11 9. NA 377 0. HAVEN'T THOUGHT MUCH ============================== VAR 940840 94PO: IF HAD TO CHOOSE: LIB/CON (H5AA.) COLUMNS 720 - 720 NUMERIC MISSING 0 OR GE 8 Q.H5aa. If you had to choose, would you consider yourself a liberal or a conservative? ------------------------------------------------------------ 66 1. LIBERAL 49 3. MODERATE, MIDDLE OF THE ROAD 178 5. CONSERVATIVE 18 7. R REFUSES TO CHOOSE 78 8. DK 2 9. NA 1404 0. Inap, 1-7, 9 in Q.H5a ============================== VAR 940841 94PO: CLINTON- 7-PT LIB/CON (H5B.) COLUMNS 721 - 721 NUMERIC MISSING 0 OR GE 8 Q.H5b. Where would you place Bill Clinton on this scale? ---------------------------------------------------------- 233 1. EXTREMELY LIBERAL 479 2. LIBERAL 319 3. SLIGHTLY LIBERAL 293 4. MODERATE; MIDDLE OF THE ROAD 136 5. SLIGHTLY CONSERVATIVE 79 6. CONSERVATIVE 33 7. EXTREMELY CONSERVATIVE 107 8. DK, (DON'T PROBE) 36 9. NA 80 0. Inap, 8-9 in Q.H5aa ============================== VAR 940842 94PO: CRTAIN ABT CLINTON LIB/CON (H5B1.) COLUMNS 722 - 722 NUMERIC MISSING 0 OR GE 8 Q.H5b1. How certain are you of Bill Clinton's position on this scale? Very certain, pretty certain, or not very certain? ---------------------------------------------------------- 285 1. VERY CERTAIN 679 3. PRETTY CERTAIN 497 5. NOT VERY CERTAIN 12 8. DON'T KNOW 99 9. NA 222 0. Inap, 8-9 in Q.H5aa; 8-9 in Q.H5b ============================== VAR 940843 94PO: HSE DEM 7-PT LIB/CON (H5C.) COLUMNS 723 - 723 NUMERIC MISSING 0 OR GE 8 Q.H5c. (Where would you place ) (NAME #31, 33 OR 35)? ------------------------------------------------- NOTE: The independent candidate running in VA10 was treated as a Democratic candidate in this variable. 32 1. EXTREMELY LIBERAL 188 2. LIBERAL 224 3. SLIGHTLY LIBERAL 304 4. MODERATE; MIDDLE OF THE ROAD 119 5. SLIGHTLY CONSERVATIVE 53 6. CONSERVATIVE 25 7. EXTREMELY CONSERVATIVE 604 8. DK, DON'T PROBE 50 9. NA 194 0. Inap, 24 in V17 (No Democratic candidate); 8-9 in Q.H5aa ============================== VAR 940844 94PO: CRTAIN ABT HSE D LIB/CON (H5C1.) COLUMNS 724 - 724 NUMERIC MISSING 0 OR GE 8 Q.H5c1. How certain are you of (NAME #31, 33 OR 35) position on this scale? Very certain, pretty certain, or not very certain? --------------------------------------------------------- NOTE: The independent candidate running in VA10 was treated as a Democratic candidate in this variable. 131 1. VERY CERTAIN 383 3. PRETTY CERTAIN 407 5. NOT VERY CERTAIN 6 8. DON'T KNOW 17 9. NA 849 0. Inap, 24 in V17 (No Democratic candidate) 8-9 in Q.H5aa; 8-9 in Q.H5c ============================== VAR 940845 94PO: HSE REP 7-PT LIB/CON (H5D.) COLUMNS 725 - 725 NUMERIC MISSING 0 OR GE 8 Q.H5d. Where would you place (NAME #32, 34 OR 36) (Republican House candidate) on this scale? -------------------------------------------------- 7 1. EXTREMELY LIBERAL 30 2. LIBERAL 74 3. SLIGHTLY LIBERAL 235 4. MODERATE; MIDDLE OF THE ROAD 261 5. SLIGHTLY CONSERVATIVE 282 6. CONSERVATIVE 49 7. EXTREMELY CONSERVATIVE 681 8. DK, (DON'T PROBE) 48 9. NA 127 0. Inap, 14 in V17 (No Republican candidate); 8-9 in Q.H5aa ============================== VAR 940846 94PO: CRTAIN ABT HSE REP LIB/CON (H5D1.) COLUMNS 726 - 726 NUMERIC MISSING 0 OR GE 8 Q.H5d1. How certain are you of (NAME #32, 34 OR 36) position on this scale? Very certain, pretty certain, or not very certain? --------------------------------------------------------- 124 1. VERY CERTAIN 391 3. PRETTY CERTAIN 392 5. NOT VERY CERTAIN 5 8. DON'T KNOW 26 9. NA 857 0. Inap, 14 in V17 (No Republican candidate) 8-9 in Q.H5aa; 8-9 in Q.H5d ============================== VAR 940847 94PO: DEM PTY 7-PT LIB/CON (H5E.) COLUMNS 727 - 727 NUMERIC MISSING 0 OR GE 8 Q.H5e. And still on the scale, where would you place the Democratic Party? ---------------------------------------------------------- 123 1. EXTREMELY LIBERAL 484 2. LIBERAL 360 3. SLIGHTLY LIBERAL 295 4. MODERATE; MIDDLE OF THE ROAD 142 5. SLIGHTLY CONSERVATIVE 99 6. CONSERVATIVE 36 7. EXTREMELY CONSERVATIVE 110 8. DK, (DON'T PROBE) 68 9. NA 80 0. Inap, 8-9 in Q.H5aa ============================== VAR 940848 94PO: REP PTY 7-PT LIB/CON (H5F.) COLUMNS 728 - 728 NUMERIC MISSING 0 OR GE 8 Q.H5f. Where would you place the Republican Party? ---------------------------------------------------- 14 1. EXTREMELY LIBERAL 62 2. LIBERAL 124 3. SLIGHTLY LIBERAL 250 4. MODERATE; MIDDLE OF THE ROAD 385 5. SLIGHTLY CONSERVATIVE 599 6. CONSERVATIVE 94 7. EXTREMELY CONSERVATIVE 118 8. DK, (DON'T PROBE) 70 9. NA 80 0. Inap, 8-9 in Q.H5aa ============================== VAR 940901 94PO: U.S. RIGHT/WRONG TRACK (J1.) COLUMNS 729 - 729 NUMERIC MISSING GE 8 Q.J1. (Not using the booklet) Do you feel things in this country are generally going in the right direction, or do you feel things have pretty seriously gotten off on the wrong track? ----------------------------------------------------------- 544 1. RIGHT DIRECTION 1154 5. WRONG TRACK 79 8. DON'T KNOW 18 9. NA ============================== VAR 940902 94PO: R BETTR/WRSE OFF THAN YR AGO (J2.) COLUMNS 730 - 730 NUMERIC MISSING GE 8 Q.J2. We are interested in how people are getting along financially these days. Would you say that you (and your family living here) are better off or worse off financially than you were a year ago? ----------------------------------------------------------- 645 1. BETTER OFF 625 3. SAME (VOLUNTEERED) 507 5. WORSE OFF 4 8. DK 14 9. NA ============================== VAR 940903 94PO: R MUCH BTTR/WRS PAST YR (J2A/J2B.) COLUMNS 731 - 731 NUMERIC MISSING 0 OR GE 8 Q.J2a. Is that much better off or somewhat better off? Q.J1b. Is that much worse off or somewhat worse off? -------------------------------------------------------- 146 1. MUCH BETTER 498 2. SOMEWHAT BETTER 625 3. SAME 377 4. SOMEWHAT WORSE 129 5. MUCH WORSE 1 8. DK 1 9. NA 18 0. Inap, 8-9 in Q.J2a/J1b ============================== VAR 940904 94PO: R BETTR/WRSE OFF YR FROM NOW (J3.) COLUMNS 732 - 732 NUMERIC MISSING GE 8 Q.J3. Now looking ahead, do you think that a year from now you (and your family living here) will be better off financially, worse off, or just about the same as now? --------------------------------------------------------- 576 1. BETTER YEAR FROM NOW 1036 3. SAME 140 5. WORSE YEAR FROM NOW 29 8. DK 14 9. NA ============================== VAR 940905 94PO: R MUCH BTTR/WRS NEXT YR (J3A/J3B.) COLUMNS 733 - 733 NUMERIC MISSING 0 OR GE 8 Q.J3a. (Is that much better off or somewhat better off?) Q.J3b. (Is that much worse off or somewhat worse off?) ---------------------------------------------------------- 178 1. MUCH BETTER 395 2. SOMEWHAT BETTER 1036 3. SAME 100 4. SOMEWHAT WORSE 38 5. MUCH WORSE 3 8. DK 2 9. NA 43 0. Inap, 8-9 in Q.J3 ============================== VAR 940906 94PO: TAXES HIGHER/LOWER IN 1993? (J4.) COLUMNS 734 - 734 NUMERIC MISSING GE 8 Q.J4. Would you say that the federal income taxes you paid for 1993 were higher, about the same, or lower than the federal income taxes you paid for 1992? ------------------------------------------------------------ 839 1. HIGHER 650 3. SAME 134 5. LOWER 102 8. DK 70 9. NA ============================== VAR 940907 94PO: MCH HIGHR/LOWR TAX 1993 (J4A/J4B.) COLUMNS 735 - 735 NUMERIC MISSING 0 OR GE 8 Q.J4a. Would you say they went up a lot or a little? Q.J4b. Would you say they went down a lot or a little? -------------------------------------------------------- 283 1. A LOT UP 554 2. A LITTLE UP 650 3. SAME 86 4. A LITTLE DOWN 42 5. A LOT DOWN 4 8. DK 4 9. NA 171 0. Inap, 8-9 in Q.J4 ============================== VAR 940908 94PO: ECONOMY BETTER/WORSE PAST YR (J5.) COLUMNS 736 - 736 NUMERIC MISSING GE 8 Q.J5. How about the economy in the country as a whole. Would you say that over the past year the nation's economy has gotten better, stayed about the same, or gotten worse? ---------------------------------------------------------- 627 1. GOTTEN BETTER 653 3. STAYED THE SAME 463 5. GOTTEN WORSE 39 8. DK 13 9. NA ============================== VAR 940909 94PO: ECON MUCH B/W PAST YR (J5A/J5B.) COLUMNS 737 - 737 NUMERIC MISSING 0 OR GE 8 Q.J5a. (Would you say much better or somewhat better?) Q.J5b. (Would you say much worse or somewhat worse?) -------------------------------------------------------- Note: Parenthesis around the follow-up question allows the interviewer not to read the parenthesized text when R gives the answer without being prompted. 64 1. MUCH BETTER 562 2. SOMEWHAT BETTER 653 3. STAYED THE SAME 329 4. SOMEWHAT WORSE 133 5. MUCH WORSE 8. DK 2 9. NA 52 0. Inap, 8-9 in Q.J5 ============================== VAR 940910 94PO: ECONOMY BETTER/WORSE NEXT YR (J6.) COLUMNS 738 - 738 NUMERIC MISSING GE 8 Q.J6. What about the next 12 months? Do you expect the economy to get better, get worse or stay about the same? ---------------------------------------------------------- 507 1. GET BETTER 937 3. STAY THE SAME 285 5. GET WORSE 53 8. DEPENDS; DK 14 9. NA ============================== VAR 940911 94PO: POLICY MAKE ECON BETTR/WORSE (J7.) COLUMNS 739 - 739 NUMERIC MISSING GE 8 Q.J7. Over the past year would you say that the economic policies of the federal government have made the nation's economy better, worse, or haven't they made much difference either way? ----------------------------------------------------------- 311 1. BETTER 1145 3. HAVEN'T MADE MUCH DIFFERENCE 269 5. WORSE 57 8. DON'T KNOW 14 9. NA ============================== VAR 940912 94PO: PLCY MAKE ECON MUCH B/W (J7A/J7B.) COLUMNS 740 - 740 NUMERIC MISSING 0 OR GE 8 Q.J7a. (Would you say much better or somewhat better?) Q.J7b. (Would you say much worse or somewhat worse?) -------------------------------------------------------- Note: Parenthesis around the follow-up question allows the interviewer not to read the parenthesized text when R gives the answer without being prompted. 32 1. MUCH BETTER 279 2. SOMEWHAT BETTER 1145 3. STAYED THE SAME 193 4. SOMEWHAT WORSE 74 5. MUCH WORSE 8. DK 1 9. NA 71 0. Inap, 8-9 in Q.J7 ============================== VAR 940913 94PO: FAVR 2-PTY/NO PARTY/MULT PTY (J8.) COLUMNS 741 - 741 NUMERIC MISSING GE 8 Q.J8. (RB, P. 6) (Looking at page 6 of the booklet) Here is a question about political parties. Which of the opinions on this page do you prefer... ------------------------------------------------------------ 681 1. ...a continuation of the two party system of Democrats and Republicans? 650 2. ...elections in which candidates run as individuals without party labels? 412 3. ...the growth of one or more parties that could effectively challenge the Democrats and Republicans? 27 8. DK 26 9. NA ============================== VAR 940914 94PO: SOCIETY ENSURE EQU OPPOR (J9A.) COLUMNS 742 - 742 NUMERIC MISSING GE 8 Q.J9. (RB, P. 7) I am going to read several statements. After each one, I would like you to tell me whether you agree strongly with the statement, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly. The first statement is: Q.J9a. Our society should do whatever is necessary to make sure that everyone has an equal opportunity to succeed. ------------------------------------------------------------ Q.J9a-f are the "Equalitarianism" scale. 1106 1. AGREE STRONGLY 454 2. AGREE SOMEWHAT 73 3. NEITHER AGREE NOR DISAGREE 100 4. DISAGREE SOMEWHAT 44 5. DISAGREE STRONGLY 4 8. DON'T KNOW 15 9. NA ============================== VAR 940915 94PO: GONE TOO FAR W/ EQU RIGHTS (J9B.) COLUMNS 743 - 743 NUMERIC MISSING GE 8 Q.J9b. We have gone too far in pushing equal rights in this country. -------------------------------------------------------- 378 1. AGREE STRONGLY 559 2. AGREE SOMEWHAT 248 3. NEITHER AGREE NOR DISAGREE 308 4. DISAGREE SOMEWHAT 271 5. DISAGREE STRONGLY 13 8. DON'T KNOW 18 9. NA ============================== VAR 940916 94PO: BIG PROBLEM- NOT EQUAL OPP (J9C.) COLUMNS 744 - 744 NUMERIC MISSING GE 8 Q.J9c. One of the big problems in this country is that we don't give everyone an equal chance. ----------------------------------------------------------- 407 1. AGREE STRONGLY 525 2. AGREE SOMEWHAT 243 3. NEITHER AGREE NOR DISAGREE 396 4. DISAGREE SOMEWHAT 194 5. DISAGREE STRONGLY 7 8. DON'T KNOW 23 9. NA ============================== VAR 940917 94PO: BETTER NOT WORR ABT EQU OPP (J9D.) COLUMNS 745 - 745 NUMERIC MISSING GE 8 Q.J9d. This country would be better off if we worried less about how equal people are. ------------------------------------------------------------ 430 1. AGREE STRONGLY 532 2. AGREE SOMEWHAT 258 3. NEITHER AGREE NOR DISAGREE 318 4. DISAGREE SOMEWHAT 228 5. DISAGREE STRONGLY 12 8. DON'T KNOW 16 9. NA ============================== VAR 940918 94PO: NOT PROBLEM IF NOT EQU OPP (J9E.) COLUMNS 746 - 746 NUMERIC MISSING GE 8 Q.J9e. It is not really that big a problem if some people have more of a chance in life than others. ----------------------------------------------------------- 158 1. AGREE STRONGLY 401 2. AGREE SOMEWHAT 285 3. NEITHER AGREE NOR DISAGREE 535 4. DISAGREE SOMEWHAT 386 5. DISAGREE STRONGLY 12 8. DON'T KNOW 18 9. NA ============================== VAR 940919 94PO: FEWER PROB IF HAD EQUAL OPP (J9F.) COLUMNS 747 - 747 NUMERIC MISSING GE 8 Q.J9f. If people were treated more equally in this country we would have many fewer problems. ------------------------------------------------------------ 585 1. AGREE STRONGLY 545 2. AGREE SOMEWHAT 253 3. NEITHER AGREE NOR DISAGREE 266 4. DISAGREE SOMEWHAT 118 5. DISAGREE STRONGLY 10 8. DON'T KNOW 18 9. NA ============================== VAR 940920 94PO: MORAL - CLINTON (J10A.) COLUMNS 748 - 748 NUMERIC MISSING GE 8 Q.J10. (RB, P. 8) (Looking at page 8 of the booklet) Think about Bill Clinton. In your opinion, does "moral" describe Bill Clinton extremely well, quite well, not too well, or not well at all? Q.J10a. MORAL? --------------------------------------------------------- 91 1. EXTREMELY WELL 567 2. QUITE WELL 706 3. NOT TOO WELL 350 4. NOT AT ALL WELL 57 8. DON'T KNOW (DON'T PROBE) 25 9. NA ============================== VAR 940921 94PO: STRNG LEADERSHIP - CLINTON (J10B.) COLUMNS 749 - 749 NUMERIC MISSING GE 8 Q.J10b. Provides strong leadership? ------------------------------------ 126 1. EXTREMELY WELL 628 2. QUITE WELL 756 3. NOT TOO WELL 245 4. NOT AT ALL WELL 18 8. DON'T KNOW (DON'T PROBE) 22 9. NA ============================== VAR 940922 94PO: CARES ABT YOU - CLINTON (J10C.) COLUMNS 750 - 750 NUMERIC MISSING GE 8 Q.J10c. Really cares about people like you? -------------------------------------------- 218 1. EXTREMELY WELL 643 2. QUITE WELL 577 3. NOT TOO WELL 295 4. NOT AT ALL WELL 40 8. DON'T KNOW (DON'T PROBE) 21 9. NA ============================== VAR 940923 94PO: KNOWLEDGEABLE - CLINTON (J10D.) COLUMNS 751 - 751 NUMERIC MISSING GE 8 Q.J10d. Knowledgeable? ----------------------- 405 1. EXTREMELY WELL 900 2. QUITE WELL 359 3. NOT TOO WELL 83 4. NOT AT ALL WELL 28 8. DON'T KNOW (DON'T PROBE) 20 9. NA ============================== VAR 940924 94PO: GETS THINGS DONE - CLINTON (J10E.) COLUMNS 752 - 752 NUMERIC MISSING GE 8 Q.J10e. Gets things done? -------------------------- 105 1. EXTREMELY WELL 531 2. QUITE WELL 870 3. NOT TOO WELL 237 4. NOT AT ALL WELL 32 8. DON'T KNOW (DON'T PROBE) 20 9. NA ============================== VAR 940925 94PO: RAISE TAX TO REDUCE DEFCIT? (K1A.) COLUMNS 753 - 753 NUMERIC MISSING GE 8 Q.K1. (RB, P. 9) (Please turn to page 9 of the booklet) Here are three statements about taxes and the budget deficit. Please tell me whether you agree or disagree with each: Q.K1a. We need to reduce the federal budget deficit, even if that means ordinary people will have to pay more in taxes. Do you agree strongly, agree somewhat, disagree somewhat, or disagree strongly? ----------------------------------------------------------- 202 1. AGREE STRONGLY 554 2. AGREE SOMEWHAT 521 3. DISAGREE SOMEWHAT 479 4. DISAGREE STRONGLY 20 8. DK 19 9. NA ============================== VAR 940926 94PO: CUT HLTH/EDUC- REDUCE DEFIC (K1B.) COLUMNS 754 - 754 NUMERIC MISSING GE 8 Q.K1b. We need to reduce the federal budget deficit, even if that means spending less money for health and education. (Do you agree strongly, agree somewhat, disagree somewhat, or disagree strongly?) ----------------------------------------------------------- 154 1. AGREE STRONGLY 364 2. AGREE SOMEWHAT 652 3. DISAGREE SOMEWHAT 585 4. DISAGREE STRONGLY 23 8. DK 17 9. NA ============================== VAR 940927 94PO: INCR HLTH/EDUC- INCR TAXES (K1C.) COLUMNS 755 - 755 NUMERIC MISSING GE 8 Q.K1c. We need to spend more money on health and education, even if that means ordinary people will have to pay more in taxes. ---------------------------------------------------------- 277 1. AGREE STRONGLY 771 2. AGREE SOMEWHAT 433 3. DISAGREE SOMEWHAT 273 4. DISAGREE STRONGLY 22 8. DK 19 9. NA ============================== VAR 940928 94PO: 7PT WOMEN- EQUAL ROLE (K2A.) COLUMNS 756 - 756 NUMERIC MISSING 0 OR GE 8 Q.K2. (RB, P. 10) (Turn to page 10 of the booklet) Recently there has been a lot of talk about women's rights. Some people feel that women should have an equal role with men in running business, industry, and government. Suppose these people are at one end of a scale, at point 1. Others feel that a woman's place is in the home. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between at points 2, 3, 4, 5, or 6. Q.K2a. Where would you place yourself on this scale, or haven't you thought much about this? ----------------------------------------------------------- 750 1. WOMEN AND MEN SHOULD HAVE AN EQUAL ROLE 273 2. 137 3. 270 4. 97 5. 57 6. 62 7. A WOMAN'S PLACE IS IN THE HOME 11 8. DON'T KNOW 26 9. NA 112 0. HAVEN'T THOUGHT MUCH ============================== VAR 940929 94PO: 7PT DEFENSE SPENDING (K3A.) COLUMNS 757 - 757 NUMERIC MISSING 0 OR GE 8 Q.K3. (RB, P. 11) (Please turn to page 11 of the booklet) Some people believe that we should spend much less money for defense. (Suppose these people are at one end of the scale, at point number 1.) Others feel that defense spending should be greatly increased. (Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between at points 2, 3, 4, 5 or 6.) Q.K3a. Where would you place yourself on this scale, or haven't you thought much about this? ------------------------------------------------------------ 177 1. GREATLY DECREASE DEFENSE SPENDING 177 2. 263 3. 589 4. 278 5. 99 6. 54 7. GREATLY INCREASE DEFENSE SPENDING 11 8. DON'T KNOW 19 9. NA 127 0. HAVEN'T THOUGHT MUCH ============================== VAR 940930 94PO: 7PT JOB/STANDARD OF LIVING (K4A.) COLUMNS 758 - 758 NUMERIC MISSING 0 OR GE 8 Q.K4. (RB, P. 13) Some people feel the government in Washington should see to it that every person has a job and a good standard of living. Others think the government should just let each person get ahead on their own. Q.K4a. Where would you place yourself on this scale, or haven't you thought much about this? ----------------------------------------------------------- 155 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 125 2. 196 3. 400 4. 283 5. 257 6. 231 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 12 8. DON'T KNOW 20 9. NA 115 0. HAVEN'T THOUGHT MUCH ============================== VAR 940931 94PO: CLINTON 7PT JOB/STAND LIVG (K4B.) COLUMNS 759 - 759 NUMERIC MISSING 0 OR GE 8 Q.K4b. (RB, STILL ON P. 12) Where would you place Bill Clinton on this scale? --------------------------------------------------------- 203 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 296 2. 340 3. 335 4. 167 5. 83 6. 66 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 130 8. DON'T KNOW 28 9. NA 147 0. Inap, 0, 8-9 in Q.K4a ============================== VAR 940932 94PO: HSE DEM 7PT JOB/STAND LIVG (K4C.) COLUMNS 760 - 760 NUMERIC MISSING 0 OR GE 8 Q.K4c. (Where would you place ) (NAME #31, 33 OR 35)? ------------------------------------------------- NOTE: The independent candidate running in VA10 was treated as a Democratic candidate in this variable. 51 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 108 2. 223 3. 306 4. 95 5. 43 6. 31 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 657 8. DON'T KNOW 20 9. NA 261 0. Inap, 24 in V17; 0, 8-9 in Q.K4b ============================== VAR 940933 94PO: HSE REP 7PT JOB/STAND LIVG (K4D.) COLUMNS 761 - 761 NUMERIC MISSING 0 OR GE 8 Q.K4d. (NAME #32, 34 OR 36)? ----------------------------------------------------------- 21 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 34 2. 84 3. 265 4. 210 5. 152 6. 77 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 747 8. DON'T KNOW 16 9. NA 189 0. Inap, 14 in V17; 0, 8-9 in Q.K4a ============================== VAR 940934 94PO: DEM PTY 7PT JOB/STAND LIVG (K4E.) COLUMNS 762 - 762 NUMERIC MISSING 0 OR GE 8 Q.K4e. the Democratic Party? ------------------------------ 186 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 330 2. 375 3. 345 4. 131 5. 66 6. 45 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 164 8. DON'T KNOW 7 9. NA 147 0. Inap, 0, 8-9 in Q.K4a ============================== VAR 940935 94PO: REP PTY 7PT JOB/STAND LIVG (K4F.) COLUMNS 763 - 763 NUMERIC MISSING 0 OR GE 8 Q.K4f. the Republican Party? ------------------------------ 31 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 54 2. 105 3. 330 4. 359 5. 390 6. 198 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 173 8. DON'T KNOW 7 9. NA 147 0. Inap, 0, 8-9 in Q.K4a ============================== VAR 940936 94PO: 7PT AID TO BLACKS (K5A.) COLUMNS 764 - 764 NUMERIC MISSING 0 OR GE 8 Q.K5. (RB, P. 13) (Please turn to page 13 of the booklet) Some people feel that the government in Washington should make every effort to improve the social and economic position of blacks. Others feel that the government should not make any special effort to help blacks because they should help themselves. Q.K5a. Where would you place yourself on this scale, or haven't you thought much about this? ------------------------------------------------------------ 84 1. GOVERNMENT SHOULD HELP BLACKS 94 2. 168 3. 431 4. 282 5. 263 6. 328 7. BLACKS SHOULD HELP THEMSELVES 12 8. DON'T KNOW 30 9. NA 102 0. HAVEN'T THOUGHT MUCH ============================== VAR 940937 94PO: CLINTON 7PT AID TO BLACKS (K5B.) COLUMNS 765 - 765 NUMERIC MISSING 0 OR GE 8 Q.K5b. Where would you place Bill Clinton on this scale? ---------------------------------------------------------- 161 1. GOVERNMENT SHOULD HELP BLACKS 273 2. 347 3. 417 4. 135 5. 75 6. 51 7. BLACKS SHOULD HELP THEMSELVES 188 8. DON'T KNOW 4 9. NA 144 0. Inap, 0, 8-9 in Q.K5a ============================== VAR 940938 94PO: DEM PTY 7PT AID TO BLACKS (K5C.) COLUMNS 766 - 766 NUMERIC MISSING 0 OR GE 8 Q.K5c. (Where would you place) the Democratic Party? ------------------------------------------------------ 162 1. GOVERNMENT SHOULD HELP BLACKS 302 2. 363 3. 405 4. 130 5. 56 6. 46 7. BLACKS SHOULD HELP THEMSELVES 183 8. DON'T KNOW 4 9. NA 144 0. Inap, 0, 8-9 in Q.K5a ============================== VAR 940939 94PO: REP PTY 7PT AID TO BLACKS (K5D.) COLUMNS 767 - 767 NUMERIC MISSING 0 OR GE 8 Q.K5d. the Republican Party? ------------------------------ 28 1. GOVERNMENT SHOULD HELP BLACKS 65 2. 136 3. 420 4. 347 5. 282 6. 165 7. BLACKS SHOULD HELP THEMSELVES 204 8. DON'T KNOW 5 9. NA 144 0. Inap, 0, 8-9 in Q.K5a ============================== VAR 940940 94PO: 7PT SERVICES/SPENDING (K6A.) COLUMNS 768 - 768 NUMERIC MISSING 0 OR GE 8 Q.K6. (RB, P. 14) (Looking at page 14 of the booklet) Some people think the government should provide fewer services, even in areas such as health and education in order to reduce spending. Other people feel it is important for the government to provide many more services even if it means an increase in spending. Q.K6a. Where would you place yourself on this scale, or haven't you thought much about this? ----------------------------------------------------------- 169 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 200 2. 291 3. 430 4. 271 5. 114 6. 87 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 9 8. DON'T KNOW 23 9. NA 201 0. HAVEN'T THOUGHT MUCH ============================== VAR 940941 94PO: CLINTON 7PT SERVICES/SPENDG (K6B.) COLUMNS 769 - 769 NUMERIC MISSING 0 OR GE 8 Q.K6b. Where would you place Bill Clinton on this scale? ---------------------------------------------------------- 41 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 71 2. 135 3. 297 4. 371 5. 339 6. 206 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 92 8. DON'T KNOW 11 9. NA 233 0. Inap, 0, 8-9 in Q.K6a ============================== VAR 940942 94PO: HSE DEM 7PT SERVICES/SPENDG (K6C.) COLUMNS 770 - 770 NUMERIC MISSING 0 OR GE 8 Q.K6c. (Where would you place ) (NAME #31, 33 OR 35)? ----------------------------------------------------- NOTE: The independent candidate running in VA10 was treated as a Democratic candidate in this variable. 18 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 26 2. 87 3. 296 4. 202 5. 136 6. 49 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 621 8. DON'T KNOW 16 9. NA 343 0. Inap, 24 in V17; 0, 8-9 in Q.K6a ============================== VAR 940943 94PO: HSE REP 7PT SERVICES/SPENDG (K6D.) COLUMNS 771 - 771 NUMERIC MISSING 0 OR GE 8 Q.K6d. (NAME #32, 34 OR 36)? ---------------------------------------------------- 54 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 159 2. 194 3. 271 4. 87 5. 27 6. 12 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 706 8. DON'T KNOW 14 9. NA 271 0. Inap, 14 in V17; 0, 8-9 in Q.K6a ============================== VAR 940944 94PO: DEM PTY 7PT SERVICES/SPENDG (K6E.) COLUMNS 772 - 772 NUMERIC MISSING 0 OR GE 8 Q.K6e. the Democratic Party? ------------------------------ 27 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 56 2. 122 3. 314 4. 381 5. 329 6. 192 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 134 8. DON'T KNOW 6 9. NA 233 0. Inap, 0, 8-9 in Q.K6a ============================== VAR 940945 94PO: REP PTY 7PT SERVICES/SPENDG (K6F.) COLUMNS 773 - 773 NUMERIC MISSING 0 OR GE 8 Q.K6f. the Republican Party? ------------------------------ 138 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 308 2. 338 3. 335 4. 186 5. 68 6. 36 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 149 8. DON'T KNOW 6 9. NA 233 0. Inap, 0, 8-9 in Q.K6a ============================== VAR 940946 94PO: FAV/OPP CUT WELFRE MORE KIDS (K7.) COLUMNS 774 - 774 NUMERIC MISSING GE 8 Q.K7. (Not using the booklet) Some people have proposed that a woman on welfare who has another child not be given an increase in her welfare check. Do you favor or oppose this change in welfare policy? ---------------------------------------------------------- 1157 1. FAVOR 547 5. OPPOSE 66 8. DON'T KNOW 24 9. NA ============================== VAR 940947 94PO: DEGR FAV/OPP EXTRA WELF (K7A/K7B.) COLUMNS 775 - 775 NUMERIC MISSING 0 OR GE 8 Q.K7a. Do you favor this change strongly or not strongly? Q.K7b. Do you oppose this change strongly or not strongly? ------------------------------------------------------------ 865 1. STRONGLY FAVOR 289 2. NOT STRONGLY FAVOR 268 4. NOT STRONGLY OPPOSE 279 5. STRONGLY OPPOSE 2 8. DK 1 9. NA 91 0. Inap, 8-9 in Q.K7 ============================== VAR 940948 94PO: FAV/OPP 2YR LIMIT WELFARE (K8.) COLUMNS 776 - 776 NUMERIC MISSING GE 8 Q.K8. Another proposal is to put a two year limit on how long someone can receive welfare benefits. Do you favor or oppose this two year limit? ----------------------------------------------------------- 1289 1. FAVOR 419 5. OPPOSE 64 8. DON'T KNOW 23 9. NA ============================== VAR 940949 94PO: DEGR FAV/OPP 2YR WELFRE (K8A/K8B.) COLUMNS 777 - 777 NUMERIC MISSING 0 OR GE 8 Q.K8a. Do you favor the two year limit strongly or not strongly? Q.K8b. Do you oppose the two year limit strongly or not strongly? --------------------------------------------------------- 930 1. STRONGLY FAVOR 357 2. NOT STRONGLY FAVOR 187 4. NOT STRONGLY OPPOSE 232 5. STRONGLY OPPOSE 1 8. DK 2 9. NA 86 0. Inap, 8-9 in Q.K8 ============================== VAR 940950 94PO: 7PT FEDERAL HEALTH INSURNCE (K9A.) COLUMNS 778 - 778 NUMERIC MISSING 0 OR GE 8 Q.K9. (RB, P. 15) (Looking at page 15 of the booklet) There is much concern about the rapid rise in medical and hospital costs. Some people feel there should be a government insurance plan which would cover all medical expenses for everyone. Others feel that all medical expenses should be paid by individuals, and through private insurance plans like Blue Cross or other company paid plans. Q.K9a. Where would you place yourself on this scale, or haven't you thought much about this? ------------------------------------------------------------ 285 1. GOVERNMENT INSURANCE PLAN 140 2. 200 3. 343 4. 214 5. 202 6. 249 7. PRIVATE INSURANCE PLAN 18 8. DON'T KNOW 23 9. NA 122 0. HAVEN'T THOUGHT MUCH ============================== VAR 940951 94PO: CLINTON 7PT FED HEALTH INS (K9B.) COLUMNS 779 - 779 NUMERIC MISSING 0 OR GE 8 Q.K9b. Where would you place Bill Clinton on this scale? ---------------------------------------------------------- 719 1. GOVERNMENT INSURANCE PLAN 346 2. 210 3. 141 4. 61 5. 35 6. 48 7. PRIVATE INSURANCE PLAN 65 8. DON'T KNOW 7 9. NA 163 0. Inap, 0, 8-9 in Q.K9a ============================== VAR 940952 94PO: HSE DEM 7PT FED HEALTH INS (K9C.) COLUMNS 780 - 780 NUMERIC MISSING 0 OR GE 8 Q.K9c. (Where would you place ) (NAME #31, 33 OR 35)? ------------------------------------------------- NOTE: The independent candidate running in VA10 was treated as a Democratic candidate in this variable. 122 1. GOVERNMENT INSURANCE PLAN 168 2. 183 3. 220 4. 70 5. 16 6. 19 7. PRIVATE INSURANCE PLAN 708 8. DON'T KNOW 16 9. NA 275 0. Inap, 24 in V17; 0, 8-9 in Q.K9a ============================== VAR 940953 94PO: HSE REP 7PT FED HEALTH INS (K9D.) COLUMNS 781 - 781 NUMERIC MISSING 0 OR GE 8 Q.K9d. (NAME #32, 34 OR 36)? ----------------------------------------------------------- 16 1. GOVERNMENT INSURANCE PLAN 25 2. 58 3. 255 4. 174 5. 159 6. 95 7. PRIVATE INSURANCE PLAN 795 8. DON'T KNOW 15 9. NA 204 0. Inap, 14 in V17; 0, 8-9 in Q.K9a ============================== VAR 940954 94PO: DEM PTY 7PT FED HEALTH INS (K9E.) COLUMNS 782 - 782 NUMERIC MISSING 0 OR GE 8 Q.K9e. the Democratic Party? ------------------------------ 331 1. GOVERNMENT INSURANCE PLAN 418 2. 340 3. 256 4. 74 5. 32 6. 31 7. PRIVATE INSURANCE PLAN 144 8. DON'T KNOW 7 9. NA 163 0. Inap, 0, 8-9 in Q.K9a ============================== VAR 940955 94PO: REP PTY 7PT FED HEALTH INS (K9F.) COLUMNS 783 - 783 NUMERIC MISSING 0 OR GE 8 Q.K9f. the Republican Party? ------------------------------ 30 1. GOVERNMENT INSURANCE PLAN 43 2. 96 3. 296 4. 335 5. 390 6. 265 7. PRIVATE INSURANCE PLAN 170 8. DON'T KNOW 7 9. NA 163 0. Inap, 0, 8-9 in Q.K9a ============================== VAR 941001 94PO: FAV/OPP PREF HIRING BLACKS (L1.) COLUMNS 784 - 784 NUMERIC MISSING GE 8 Q.L1. Some people say that because of past discrimination blacks should be given preference in hiring and promotion. Others say that such preference in hiring and promotion of blacks is wrong because it gives blacks advantages they haven't earned. What about your opinion --are you for or against preferential hiring and promotion of blacks? ---------------------------------------------------------- 248 1. FOR 1443 5. AGAINST 75 8. DON'T KNOW; REFUSED 30 9. NA ============================== VAR 941002 94PO: DEGR FAV/OPP PREF HIRG (L1A/L1B.) COLUMNS 785 - 785 NUMERIC MISSING 0 OR GE 8 Q.L1a. Do you favor preference in hiring and promotion strongly or not strongly? Q.L1b. Do you oppose such preference in hiring and promotion strongly or not strongly? -------------------------------------------------------- 132 1. FAVOR STRONGLY 115 2. FAVOR NOT STRONGLY 363 4. OPPOSE NOT STRONGLY 1074 5. OPPOSE STRONGLY 2 8. DK 5 9. NA 104 0. Inap, 8-9 in Q.L1a/b ============================== VAR 941003 94PO: GOVT ROLE-BLACK/WHITE SCHLS (L2.) COLUMNS 786 - 786 NUMERIC MISSING GE 8 Q.L2. Some people say that the government in Washington should see to it that white and black children go to the same schools. Others claim that this is not the government's business. Have you been interested enough in this question to favor one side over the other? ---------------------------------------------------------- 1177 1. YES 586 5. NO 8. DK 32 9. NA ============================== VAR 941004 94PO: R OPIN-GOVT BLK/WHIT SCHLS (L2A.) COLUMNS 787 - 787 NUMERIC MISSING 0 OR GE 8 Q.L2a. Do you think the government in Washington should... ------------------------------------------------------------ 484 1. ...see to it that white and black children go to the same schools? 618 5. ...stay out of this area as it is not the government's business? 67 7. OTHER; DEPENDS 7 8. DK 1 9. NA 618 0. Inap, 5, 8-9 in Q.L2 ============================== VAR 941005 94PO: CHANGE IN POSITN OF BLACKS (L3.) COLUMNS 788 - 788 NUMERIC MISSING GE 8 Q.L3. In the past few years we have heard a lot about improving the position of black people in this country. How much real change do you think there has been in the position of black people in the past few years; a lot, some, or not much at all? ------------------------------------------------------------ 536 1. A LOT 815 3. SOME 382 5. NOT MUCH AT ALL 35 8. DON'T KNOW 26 9. NA ============================== VAR 941006 94PO: KNOWLEDGE - GORE (L4A.) COLUMNS 789 - 789 NUMERIC MISSING GE 8 Q.L4. Now we have a set of questions concerning various public figures. We want to see how much information about them gets out to the public from television, newspapers and the like. The first name is Al Gore. What job or political office does he now hold? Q.L4a. AL GORE ----------------------------------------------------------- 1414 1. Correctly identifies Gore as the Vice President 29 5. Identification is incomplete or wrong 330 8. DK; makes no attempt to guess 22 9. NA ============================== VAR 941007 94PO: KNOWLEDGE - REHNQUIST (L4B.) COLUMNS 790 - 790 NUMERIC MISSING GE 8 Q.L4b. William Rehnquist -------------------------- 124 1. Correctly identifies Rehnquist as Chief Justice of the Supreme Court 358 5. Identification is incomplete or wrong 1291 8. DK; makes no attempt to guess 22 9. NA ============================== VAR 941008 94PO: KNOWLEDGE - YELTSIN (L4C.) COLUMNS 791 - 791 NUMERIC MISSING GE 8 Q.L4c. Boris Yeltsin ---------------------- 820 1. Correctly identifies Yeltsin as President of Russia; leader/top man/head of Russia 389 5. Identification is incomplete or wrong (incl. leader of Soviet Union or of former Soviet Union) 564 8. DK; makes no attempt to guess 22 9. NA ============================== VAR 941009 94PO: KNOWLEDGE - FOLEY (L4D.) COLUMNS 792 - 792 NUMERIC MISSING GE 8 Q.L4d. Tom Foley ------------------ 609 1. Correctly identifies Foley as Speaker of the House of Representatives 181 5. Identification is incomplete or wrong 982 8. DK; makes no attempt to guess 22 9. NA ============================== VAR 941010 94PO: KNOWLDG - CONSTITUTIONALITY (L5.) COLUMNS 793 - 793 NUMERIC MISSING GE 8 Q.L5. Who has the final responsibility to decide if a law is constitutional or not...is it the President, the Congress, the Supreme Court, or don't you know? ------------------------------------------------------------ 151 1. PRESIDENT 378 2. CONGRESS 1014 3. SUPREME COURT 228 8. DON'T KNOW 24 9. NA ============================== VAR 941011 94PO: KNOWLDG - FED JUDGE NOMINAT (L6.) COLUMNS 794 - 794 NUMERIC MISSING GE 8 Q.L6. And whose responsibility is it to nominate judges to the Federal Courts...the President, the Congress, the Supreme Court, or don't you know? ---------------------------------------------------------- 984 1. PRESIDENT 211 2. CONGRESS 244 3. SUPREME COURT 333 8. DON'T KNOW 22 9. NA ============================== VAR 941012 94PO: PTY CONTROL HSE BEF ELCTION (L7.) COLUMNS 795 - 795 NUMERIC MISSING GE 8 Q.L7. Do you happen to know which party had the most members in the House of Representatives in Washington before the election (this/last) month? (IF NECESSARY: Which one?) ------------------------------------------------------------ 107 1. REPUBLICANS 1302 5. DEMOCRATS 362 8. NO, DON'T KNOW 23 9. NA ============================== VAR 941013 94PO: PTY CONTROL SEN BEF ELCTION (L8.) COLUMNS 796 - 796 NUMERIC MISSING GE 8 Q.L8. Do you happen to know which party had the most members in the U.S. Senate before the election (this/last) month? (IF NECESSARY: Which one?) ---------------------------------------------------------- 119 1. REPUBLICANS 1168 5. DEMOCRATS 486 8. NO, DON'T KNOW 22 9. NA ============================== VAR 941014 94PO: ABORTION LEGAL WHEN? (L9.) COLUMNS 797 - 797 NUMERIC MISSING GE 8 Q.L9. (RB, P. 16) (Please turn to page 16 of the booklet) There has been some discussion about abortion during recent years. Which one of the opinions on this page best agrees with your view? You can just tell me the number of the opinion you choose. ------------------------------------------------------------ 218 1. BY LAW, ABORTION SHOULD NEVER BE PERMITTED 531 2. THE LAW SHOULD PERMIT ABORTION ONLY IN CASE OF RAPE, INCEST, OR WHEN THE WOMAN'S LIFE IS IN DANGER 242 3. THE LAW SHOULD PERMIT ABORTION FOR REASONS OTHER THAN RAPE, INCEST, OR DANGER TO THE WOMAN'S LIFE, BUT ONLY AFTER THE NEED FOR THE ABORTION HAS BEEN CLEARLY ESTABLISHED 739 4. BY LAW, A WOMAN SHOULD ALWAYS BE ABLE TO OBTAIN AN ABORTION AS A MATTER OF PERSONAL CHOICE 24 7. OTHER, SPECIFY 15 8. DON'T KNOW 26 9. NA ============================== VAR 941015 94PO: U.S. POSITION STRNGR/WEAKER (M1.) COLUMNS 798 - 798 NUMERIC MISSING GE 8 Q.M1. During the past year, would you say that the United States' position in the world has grown weaker, stayed about the same, or has it grown stronger? ------------------------------------------------------------ 526 1. WEAKER 833 3. STAYED THE SAME 376 5. STRONGER 36 8. DON'T KNOW 24 9. NA ============================== VAR 941016 94PO: LIMIT TO U.S.IMMIGRATION (M2.) COLUMNS 799 - 799 NUMERIC MISSING GE 8 Q.M2. Do you think the number of immigrants from foreign countries who are permitted to come to the United States to live should be increased a little, increased a lot, is now? ----------------------------------------------------------- 30 1. INCREASE A LITTLE 63 2. INCREASE A LOT 506 3. SAME AS NOW 393 4. DECREASED A LITTLE 736 5. DECREASED A LOT 39 8. DK 27 9. NA ============================== VAR 941017 94PO: PREVENT NUCL WEAPONS - GOAL (M3.) COLUMNS 800 - 800 NUMERIC MISSING GE 8 Q.M3. Thinking of our foreign policy--do you think that preventing the spread of nuclear weapons should be a very important, a somewhat important, or not an important foreign policy goal at all for the United States? ------------------------------------------------------------ 1243 1. VERY IMPORTANT 406 2. SOMEWHAT IMPORTANT 101 3. NOT IMPORTANT 19 8. DK 26 9. NA ============================== VAR 941018 94PO: SPREAD DEMOCRACY - GOAL (M4.) COLUMNS 801 - 801 NUMERIC MISSING GE 8 Q.M4. Should helping to bring a democratic form of government to other nations be a very important, a somewhat important, or not an important foreign policy goal at all for the United States? ----------------------------------------------------------- 380 1. VERY IMPORTANT 893 2. SOMEWHAT IMPORTANT 462 3. NOT IMPORTANT 30 8. DK 29 9. NA ============================== VAR 941019 94PO: U.S SHOULD STAY HOME (M5.) COLUMNS 802 - 802 NUMERIC MISSING GE 8 Q.M5. Do you agree or disagree with this statement: This country would be better off if we just stayed home and did not concern ourselves with problems in other parts of the world. ------------------------------------------------------------ 526 1. AGREE 1187 5. DISAGREE 51 8. DON'T KNOW 31 9. NA ============================== VAR 941020 94PO: PRAYER IN PUBLIC SCHOOLS (M6.) COLUMNS 803 - 803 NUMERIC MISSING GE 8 Q.M6. (RB, P. 17) (Looking at page 17 of the booklet) Which of the following views comes closest to your opinion on the issue of school prayer? Just give me the number of your choice. ---------------------------------------------------------- 193 1. BY LAW, PRAYERS SHOULD NOT BE ALLOWED IN PUBLIC SCHOOLS. 939 2. THE LAW SHOULD ALLOW PUBLIC SCHOOLS TO SCHEDULE TIME WHEN CHILDREN CAN PRAY SILENTLY IF THEY WANT TO. 415 3. THE LAW SHOULD ALLOW PUBLIC SCHOOLS TO SCHEDULE TIME WHEN CHILDREN, AS A GROUP, CAN SAY A GENERAL PRAYER NOT TIED TO A PARTICULAR RELIGIOUS FAITH. 169 4. BY LAW, PUBLIC SCHOOLS SHOULD SCHEDULE A TIME WHEN ALL CHILDREN WOULD SAY A CHOSEN CHRISTIAN PRAYER. 37 7. OTHER, SPECIFY: 16 8. DON'T KNOW 25 9. NA ============================== VAR 941021 94PO: STR OPIN-PRAY IN PUBL SCHS (M6A.) COLUMNS 804 - 804 NUMERIC MISSING 0 OR GE 8 Q.M6a. Do you favor that choice strongly or not strongly? ----------------------------------------------------------- 1345 1. STRONGLY 362 5. NOT STRONGLY 2 8. DK 7 9. NA 79 0. Inap, 7-9 in Q.M6 ============================== VAR 941022 94PO: DOES R HAVE HEALTH INS (M7.) COLUMNS 805 - 805 NUMERIC MISSING GE 8 Q.M7. (Not using the booklet) Do you presently have some kind of health insurance? ------------------------------------------------------------ INTERVIEWER INSTRUCTION: "HEALTH INSURANCE" INCLUDES MEDICARE AND MEDICAID. 1558 1. YES 214 5. NO 8. DON'T KNOW 23 9. NA ============================== VAR 941023 94PO: R SATISFIED W/ HEALTH PLAN (M7A.) COLUMNS 806 - 806 NUMERIC MISSING 0 OR GE 8 Q.M7a. Overall, would you say that you are very satisfied, somewhat satisfied, or somewhat dissatisfied with your health insurance plan? ------------------------------------------------------------ 697 1. VERY SATISFIED 575 3. SOMEWHAT SATISFIED 275 5. SOMEWHAT DISSATISFIED 7 8. DON'T KNOW 4 9. NA 237 0. Inap, 5, 8-9 in Q.M7 ============================== VAR 941024 94PO: R HLTH PLAN SERIOUS PROBL (M7B.) COLUMNS 807 - 807 NUMERIC MISSING 0 OR GE 8 Q.M7b. How big of a problem is that for you? Would you say it's a very serious problem for you, somewhat serious, or not very serious? ---------------------------------------------------------- 92 1. VERY SERIOUS 62 3. SOMEWHAT SERIOUS 38 5. NOT VERY SERIOUS 1 8. DON'T KNOW 21 9. NA 1581 0. Inap, 1, 8-9 in Q.M7 ============================== VAR 941025 94PO: CAN R AFFORD HEALTH CARE (M8.) COLUMNS 808 - 808 NUMERIC MISSING GE 8 Q.M8. Now, still thinking about health care. Can you (and your family) afford to pay for the health care that you need? ------------------------------------------------------------ 1109 1. YES 660 5. NO 1 8. DK 26 9. NA ============================== VAR 941026 94PO: R SATISF W/ AVAIL HLTH CARE (M9.) COLUMNS 809 - 809 NUMERIC MISSING GE 8 Q.M9. Are you satisfied or dissatisfied with the quality of the health care available to you and your family? ----------------------------------------------------------- 1347 1. SATISFIED 409 5. DISSATISFIED 11 8. DK 28 9. NA ============================== VAR 941027 94PO: R PUT OFF DENTAL/MEDICAL (M10.) COLUMNS 810 - 810 NUMERIC MISSING GE 8 Q.M10. During the past year did you (or anyone in your family living here) put off medical or dental treatment because you didn't have the money? -------------------------------------------------------- 555 1. YES 1215 5. NO 2 8. DON'T KNOW 23 9. NA ============================== VAR 941028 94PO: R SATISF W/ U.S. HLTH CARE (M11.) COLUMNS 811 - 811 NUMERIC MISSING GE 8 Q.M11. Thinking about our country's health care system as a whole, are you very satisfied, somewhat satisfied, somewhat dissatisfied, or very dissatisfied with this country's health care system? ----------------------------------------------------------- 111 1. VERY SATISFIED 525 2. SOMEWHAT SATISFIED 671 4. SOMEWHAT DISSATISFIED 439 5. VERY DISSATISFIED 22 8. DON'T KNOW 27 9. NA ============================== VAR 941029 94PO: NEW LIFESTY BREAK SOCIETY (N1A.) COLUMNS 812 - 812 NUMERIC MISSING GE 8 Q.N1. (RB, P. 18) (Please turn to page 18 of the booklet) Now I am going to read several statements. After each one, I would like you tell me whether you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement. The first statement is... Q.N1a. The newer lifestyles are contributing to the breakdown of our society. ------------------------------------------------------------ Q.N1a-d Comprise the "Moral Traditionalism" scale. 666 1. AGREE STRONGLY 588 2. AGREE SOMEWHAT 252 3. NEITHER AGREE NOR DISAGREE 150 4. DISAGREE SOMEWHAT 92 5. DISAGREE STRONGLY 23 8. DON'T KNOW 24 9. NA ============================== VAR 941030 94PO: ADJUST MORALS TO CHANGE (N1B.) COLUMNS 813 - 813 NUMERIC MISSING GE 8 Q.N1b. The world is always changing and we should adjust our view of moral behavior to those changes. ---------------------------------------------------------- 195 1. AGREE STRONGLY 518 2. AGREE SOMEWHAT 185 3. NEITHER AGREE NOR DISAGREE 395 4. DISAGREE SOMEWHAT 466 5. DISAGREE STRONGLY 10 8. DON'T KNOW 25 9. NA ============================== VAR 941031 94PO: EMPHASIZE TRAD FAMILY TIES (N1C.) COLUMNS 814 - 814 NUMERIC MISSING GE 8 Q.N1c. This country would have many fewer problems if there were more emphasis on traditional family ties. ------------------------------------------------------- 1020 1. AGREE STRONGLY 494 2. AGREE SOMEWHAT 131 3. NEITHER AGREE NOR DISAGREE 74 4. DISAGREE SOMEWHAT 38 5. DISAGREE STRONGLY 12 8. DON'T KNOW 26 9. NA ============================== VAR 941032 94PO: TOLERATE DIFF MORAL STANDS (N1D.) COLUMNS 815 - 815 NUMERIC MISSING GE 8 Q.N1d. We should be more tolerant of people who choose to live according to their own moral standards, even if they are very different from our own. ----------------------------------------------------------- 378 1. AGREE STRONGLY 635 2. AGREE SOMEWHAT 281 3. NEITHER AGREE NOR DISAGREE 269 4. DISAGREE SOMEWHAT 195 5. DISAGREE STRONGLY 11 8. DON'T KNOW 24 9. NA ============================== VAR 941033 94PO: HOW OFTEN TRUST GOVT (N2.) COLUMNS 816 - 816 NUMERIC MISSING GE 8 Q.N2. People have different ideas about the government in Washington. These ideas don't refer to Democrats or Republicans in particular, but just to the government in general. We want to see how you feel about these ideas. For example: How much of the time do you think you can trust the government in Washington to do what is right--just about always, most of the time, or only some of the time? ------------------------------------------------------------ 38 1. JUST ABOUT ALWAYS 342 3. MOST OF THE TIME 1324 5. SOME OF THE TIME 52 7. R VOL: NONE OF THE TIME 13 8. DK 26 9. NA ============================== VAR 941034 94PO: FED GOVT WASTE TAXES (N3.) COLUMNS 817 - 817 NUMERIC MISSING GE 8 Q.N3. Do you think that people in government waste a lot of the money we pay in taxes, waste some of it, or don't waste very much of it? ----------------------------------------------------------- 30 1. NOT VERY MUCH 481 3. SOME 1245 5. A LOT 13 8. DON'T KNOW 26 9. NA ============================== VAR 941035 94PO: GOVT RUN BY BIG INTERESTS (N4.) COLUMNS 818 - 818 NUMERIC MISSING GE 8 Q.N4. Would you say the government is pretty much run by a few big interests looking out for themselves or that it is run for the benefit of all the people? ------------------------------------------------------------ 336 1. FOR THE BENEFIT OF ALL 1338 5. FEW BIG INTERESTS 81 8. DON'T KNOW 39 9. NA ============================== VAR 941036 94PO: HOW MANY IN GOVT CROOKED (N5.) COLUMNS 819 - 819 NUMERIC MISSING GE 8 Q.N5. Do you think that quite a few of the people running the government are crooked, not very many are, or do you think hardly any of them are crooked? ------------------------------------------------------------ 147 1. HARDLY ANY 694 3. NOT MANY 897 5. QUITE A FEW 25 8. DON'T KNOW 32 9. NA ============================== VAR 941037 94PO: PUBLIC OFFICIALS DONT CARE (N6A.) COLUMNS 820 - 820 NUMERIC MISSING GE 8 Q.N6. (RB, P. 19) Please tell me how much you agree or disagree with these statements. The first is: Q.N6a. Public officials don't care much what people like me think. ---------------------------------------------------------- 393 1. AGREE STRONGLY 774 2. AGREE SOMEWHAT 189 3. NEITHER AGREE NOR DISAGREE 344 4. DISAGREE SOMEWHAT 59 5. DISAGREE STRONGLY 9 8. DK 27 9. NA ============================== VAR 941038 94PO: PEOPLE LIKE R HAVE NO SAY (N6B.) COLUMNS 821 - 821 NUMERIC MISSING GE 8 Q.N6b. People like me don't have any say about what the government does. --------------------------------------------------------- 358 1. AGREE STRONGLY 619 2. AGREE SOMEWHAT 161 3. NEITHER AGREE NOR DISAGREE 499 4. DISAGREE SOMEWHAT 123 5. DISAGREE STRONGLY 7 8. DK 28 9. NA ============================== VAR 941039 94PO: POLIT/GOVT TOO COMPLICATED (N6C.) COLUMNS 822 - 822 NUMERIC MISSING GE 8 Q.N6c. Sometimes politics and government seem so complicated that a person like me can't really understand what's going on. --------------------------------------------------------- 453 1. AGREE STRONGLY 700 2. AGREE SOMEWHAT 157 3. NEITHER AGREE NOR DISAGREE 286 4. DISAGREE SOMEWHAT 164 5. DISAGREE STRONGLY 7 8. DK 27 9. NA ============================== VAR 941040 94PO: FAV/OPP CLINTON CRIME BILL (N7.) COLUMNS 823 - 823 NUMERIC MISSING GE 8 Q.N7. (Not using the booklet) As you may know this summer Congress passed President Clinton's crime bill. Do you favor or oppose this law? ---------------------------------------------------------- 1137 1. FAVOR 382 5. OPPOSE 239 8. DON'T KNOW 37 9. NA ============================== VAR 941041 94PO: FAV/OPP DEATH PENALTY (N8.) COLUMNS 824 - 824 NUMERIC MISSING GE 8 Q.N8. Do you favor or oppose the death penalty for persons convicted of murder? ----------------------------------------------------- 1336 1. FAVOR 73 3. DEPENDS (VOL.) 314 5. OPPOSE 38 8. DON'T KNOW 34 9. NA ============================== VAR 941042 94PO: STR FAV/OPP DEATH PEN (N8A/N8B.) COLUMNS 825 - 825 NUMERIC MISSING 0 OR GE 8 Q.N8a. Do you favor the death penalty for persons convicted of murder strongly or not strongly? Q.N8b. Do you oppose the death penalty for persons convicted of murder strongly or not strongly? ---------------------------------------------------- 1026 1. STRONGLY FAVOR 308 2. NOT STRONGLY FAVOR 73 3. DEPENDS 130 4. NOT STRONGLY OPPOSE 184 5. STRONGLY OPPOSE 8. DK 1 9. NA 72 0. Inap, 8-9 in Q.N8 ============================== VAR 941043 94PO: IS RELIGION IMPORTANT TO R (P1.) COLUMNS 826 - 826 NUMERIC MISSING GE 8 Q.P1. Do you consider religion to be an important part of your life, or not? ------------------------------------------------------------ 1362 1. YES, IMPORTANT 398 5. NO, NOT IMPORTANT 12 8. DON'T KNOW 23 9. NA ============================== VAR 941044 94PO: AMT GUIDANCE FROM RELIGION (P2.) COLUMNS 827 - 827 NUMERIC MISSING 0 OR GE 8 Q.P2. Would you say your religion provides some guidance in your day-to-day living, quite a bit of guidance, or a great deal of guidance in your day-to-day life? ----------------------------------------------------------- 342 1. SOME 374 2. QUITE A BIT 641 3. A GREAT DEAL 1 8. DON'T KNOW 3 9. NA 433 0. Inap, 5, 8-9 in Q.P1 ============================== VAR 941045 94PO: HOW OFTEN DOES R PRAY (P3A.) COLUMNS 828 - 828 NUMERIC MISSING GE 8 Q.P3. People practice their religion in different ways. Q.P3a. (RB, P. 19) (Looking at page 19 of the booklet) Outside of attending religious services, do you pray several times a day, once a day, a few times a week, once a week or less or never? ------------------------------------------------------------ 504 1. SEVERAL TIMES A DAY 414 2. ONCE A DAY 336 3. FEW TIMES A WEEK 328 4. ONCE A WEEK OR LESS 178 5. NEVER 8. DK 35 9. NA ============================== VAR 941046 94PO: HOW OFTN DOES R READ BIBLE (P3B.) COLUMNS 829 - 829 NUMERIC MISSING GE 8 Q.P3b. (RB, still on p. 19) Outside of attending religious services, do you read the Bible several times a day, once a day, a few times a week, once a week or less or never? ----------------------------------------------------------- 55 1. SEVERAL TIMES A DAY 176 2. ONCE A DAY 247 3. FEW TIMES A WEEK 602 4. ONCE A WEEK OR LESS 678 5. NEVER 8. DK 36 9. NA ============================== VAR 941047 94PO: R OPIN- AUTHORITY OF BIBLE (P4.) COLUMNS 830 - 830 NUMERIC MISSING GE 8 Q.P4. (RB, P. 20) (Turn to page 20 in the booklet) Which of these statements comes closest to describing your feelings about the Bible? ------------------------------------------------------------ 674 1. THE BIBLE IS THE ACTUAL WORD OF GOD AND IS TO BE TAKEN LITERALLY, WORD FOR WORD, OR 808 2. THE BIBLE IS THE WORD OF GOD BUT NOT EVERYTHING IN IT SHOULD BE TAKEN LITERALLY, WORD FOR WORD, OR 229 3. THE BIBLE IS A BOOK WRITTEN BY MEN AND IS NOT THE WORD OF GOD. 24 7. OTHER, SPECIFY 27 8. DON'T KNOW 32 9. NA ============================== VAR 941048 94PO: BLACKS GOTTEN L.T. DESERVE (P5A.) COLUMNS 831 - 831 NUMERIC MISSING GE 8 Q.P5. (RB, P. 21) (Please turn to page 21 in the booklet) In past studies we have asked people why they think white people seem to get more of the good things in life in America--such as better jobs and more money--than black people do. These are some of the reasons given by both blacks and whites. Please tell me r disagree with each reason as to wgree or disagree with each reason as to wgree or disagree wit h each reason as to wgree or disagree wit life. The first statement is... (PROBE AS NECESSARY: Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement?) Q.P5a. Over the past few years, blacks have gotten less than they deserve. ------------------------------------------------------------ Q.P5a-P5d COMPRISE THE "RACIAL ATTITUDE" SCALE 143 1. AGREE STRONGLY 387 2. AGREE SOMEWHAT 332 3. NEITHER AGREE NOR DISAGREE 558 4. DISAGREE SOMEWHAT 327 5. DISAGREE STRONGLY 17 8. DK 31 9. NA ============================== VAR 941049 94PO: NO SPECIAL FAVORS - BLACKS (P5B.) COLUMNS 832 - 832 NUMERIC MISSING GE 8 Q.P5b. Irish, Italians, Jewish and many other minorities overcame prejudice and worked their way up. Blacks should do the same without any special favors. ---------------------------------------------------------- 607 1. AGREE STRONGLY 677 2. AGREE SOMEWHAT 198 3. NEITHER AGREE NOR DISAGREE 211 4. DISAGREE SOMEWHAT 59 5. DISAGREE STRONGLY 10 8. DK 32 9. NA ============================== VAR 941050 94PO: BLACKS NEED TO TRY HARDER (P5C.) COLUMNS 833 - 833 NUMERIC MISSING GE 8 Q.P5c. It's really a matter of some people not trying hard enough; if blacks would only try harder they could be just as well off as whites. ------------------------------------------------------------ 465 1. AGREE STRONGLY 617 2. AGREE SOMEWHAT 226 3. NEITHER AGREE NOR DISAGREE 321 4. DISAGREE SOMEWHAT 119 5. DISAGREE STRONGLY 13 8. DK 34 9. NA ============================== VAR 941051 94PO: SLAV/DISCR DIFFIC -BLACKS (P5D.) COLUMNS 834 - 834 NUMERIC MISSING GE 8 Q.P5d. Generations of slavery and discrimination have created conditions that make it difficult for blacks to work their way out of the lower class. ------------------------------------------------------------ 254 1. AGREE STRONGLY 584 2. AGREE SOMEWHAT 188 3. NEITHER AGREE NOR DISAGREE 416 4. DISAGREE SOMEWHAT 306 5. DISAGREE STRONGLY 15 8. DK 32 9. NA ============================== VAR 941100 94PO: CKPT: CROSS-SECTION /PANEL (X0.) COLUMNS 835 - 835 NUMERIC NOMISSING DATA CODES Q.X0. INTERVIEWER CHECKPOINT ------------------------------- 1036 1. CROSS-SECTION (LILAC COVERSHEET) 759 2. PANEL (TAN COVERSHEET) ============================== VAR 941101 94PO: DOES R ATTEND RELIG SERVICS (X1.) COLUMNS 836 - 836 NUMERIC MISSING 0 OR GE 8 Q. X1. Lots of things come up that keep people from attending religious services even if they want to. Thinking about your life these days, do you ever attend religious services, apart from occasional weddings, baptisms or funerals? ------------------------------------------------------------ 699 1. YES 319 5. NO 8. DK 18 9. NA 759 0. Inap, 2 in Q.X0 ============================== VAR 941102 94PO: R PART OF DENOMINATION (X1A.) COLUMNS 837 - 837 NUMERIC MISSING 0 OR GE 8 Q.X1a. Regardless of whether you now attend any religious services do you ever think of yourself as part of a particular church or denomination? ----------------------------------------------------------- 182 1. YES 137 5. NO 8. DK 9. NA 1476 0. Inap, 2 in Q.X0; 1, 8-9 in Q.X1 ============================== VAR 941103 94PO: HOW OFTN ATTEND RELIG SRVCS (X2.) COLUMNS 838 - 838 NUMERIC MISSING 0 OR GE 8 Q.X2. Do you go to religious services every week, almost every week, once or twice a month, a few times a year, or never? ----------------------------------------------------------- 301 1. EVERY WEEK 96 2. ALMOST EVERY WEEK 135 3. ONCE OR TWICE A MONTH 160 4. A FEW TIMES A YEAR 3 5. NEVER 8. DK 22 9. NA 1078 0. Inap, 2 in Q.X0; 1, 5, 8 in Q.X1a ============================== VAR 941104 94PO: RELIG SERVCS 1xWK OR MORE (X2A.) COLUMNS 839 - 839 NUMERIC MISSING 0 OR GE 8 Q.X2a. Would you say you go to religious services once a week or more often than once a week? ---------------------------------------------------------- 143 1. MORE OFTEN 156 2. JUST ONCE A WEEK 8. DK 2 9. NA 1494 0. Inap, 2 in Q.X0; 1, 5, 8-9 in Q.X1a; 2-5, 8-9 in Q.X2 [Q.X3 and Interviewer Checkpoint is not coded] ============================== VAR 941105 94PO: R PROT/CATH/JEWISH/OTH (X3A/X3B.) COLUMNS 840 - 840 NUMERIC MISSING 0 OR GE 8 Q.X3a. Do you mostly attend a place of worship that is Protestant, Roman Catholic, Jewish, or what? Q.X3b. Do you consider yourself Protestant, Roman Catholic, Jewish, or what? -------------------------------------------------------- 459 1. PROTESTANT 244 2. CATHOLIC 19 3. JEWISH 157 4. ANY OTHER 8. DK 20 9. NA 896 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a ============================== VAR 941106 94PO: R RELIGIOUS DEMONATION (X4.) COLUMNS 841 - 842 NUMERIC MISSING 0 OR GE 98 Q.X4. (What church or denomination is that?) ----------------------------------------------- 183 01. BAPTIST 32 02. EPISCOPALIAN/ANGLICAN/CHURCH OF ENGLAND 60 03. LUTHERAN 82 04. METHODIST 25 05. "JUST PROTESTANT" 35 06. PRESBYTERIAN 6 07. REFORMED 08. BRETHREN 1 09. EVANGELICAL UNITED BRETHREN 21 10. CHRISTIAN OR JUST CHRISTIAN 4 11. CHRISTIAN SCIENTIST 15 12. CHURCH (or CHURCHES) OF CHRIST 4 13. UNITED CHURCH OF CHRIST 3 14. DISCIPLES OF CHRIST 10 15. CHURCH OF GOD 10 16. ASSEMBLY OF GOD 4 17. CONGREGATIONALIST 5 18. HOLINESS 20 19. PENTECOSTAL 20. FRIENDS, QUAKER 6 21. ORTHODOX, e.g. Greek, Russian, SPECIFY 19 22. NON-DENOMINATIONAL--PROTESTANT 6 23. MORMONS 8 24. JEHOVAH'S WITNESSES 7 25. LATTER DAY SAINTS 3 26. UNITARIAN/UNIVERSALIST 3 26. UNITARIAN/UNIVERSALIST 2 27. BUDDHIST 4 28. HINDU 2 29. MUSLIM/ISLAM 30. NATIVE AMERICAN 35 31. OTHER, SPECIFY 3 98. DK 1 99. NA 1179 00. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b ============================== VAR 941107 94PO: BAPTIST TYPE (X4A.) COLUMNS 843 - 843 NUMERIC MISSING 0 OR GE 8 Q.X4a. With which Baptist group is your church associated? Is it the Southern Baptist Convention, the American Baptist Churches in the U.S.A., the American Baptist Association, an independent Baptist church or some other Baptist group? ------------------------------------------------------------ 97 1. SOUTHERN 8 2. AMERICAN BAPTIST U.S.A. 4 3. AMERICAN BAPTIST ASSOCIATION 22 4. INDEPENDENT BAPTIST 10 7. OTHER, SPECIFY 42 8. DON'T KNOW; "JUST BAPTIST" 9. NA 1612 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 02-31, 98-99 in Q.X4 ============================== VAR 941108 94PO: BAPTIST LOCAL/LARGER GROUP (X4B.) COLUMNS 844 - 844 NUMERIC MISSING 0 OR GE 8 Q.X4b. Are you affiliated with any larger Baptist group or is this strictly a local church? ------------------------------------------------------------ 19 1. LOCAL 3 7. AFFILIATED WITH LARGER GROUP: (SPECIFY) 8. DON'T KNOW 9. NA 1773 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 02-31, 98-99 in Q.X4; 1-3, 7-9 in Q.X4a ============================== VAR 941109 94PO: LUTHERAN TYPE (X4C.) COLUMNS 845 - 845 NUMERIC MISSING 0 OR GE 8 Q.X4c. Is this church part of the Evangelical Lutheran Church in America, the Missouri Synod, or some other Lutheran group? -------------------------------------------------------- 26 1. EVANGELICAL LUTHERAN CHURCH IN AMERICA (formerly Lutheran Church in America, American Lutheran Church) 22 2. MISSOURI SYNOD 4 7. OTHER (SPECIFY) 8 8. DON'T KNOW; "JUST LUTHERAN" 9. NA 1735 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-02, 04-31, 98-99 in Q.X4 ============================== VAR 941110 94PO: METHODIST TYPE (X4D.) COLUMNS 846 - 846 NUMERIC MISSING 0 OR GE 8 Q.X4d. Is your church part of the United Methodist Church, African Methodist Episcopal, or some other Methodist group? ------------------------------------------------------------ 65 1. UNITED METHODIST 8 2. AFRICAN METHODIST EPISCOPAL (AME) 3 7. OTHER (SPECIFY) 5 8. DON'T KNOW; "JUST METHODIST" 1 9. NA 1713 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-03, 05-31, 98-99 in Q.X4 ============================== VAR 941111 94PO: PRESBYTERIAN TYPE (X4E.) COLUMNS 847 - 847 NUMERIC MISSING 0 OR GE 8 Q.X4e. Is this the Presbyterian Church in the USA or some other Presbyterian group? ----------------------------------------------------------- 28 1. PRESBYTERIAN CHURCH IN THE U.S.A. (FORMERLY UNITED PRESBYTERIAN CHURCH) 5 7. OTHER (SPECIFY) 2 8. DON'T KNOW; "JUST PRESBYTERIAN" 9. NA 1760 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-05, 07-31, 98-99 in Q.X4 ============================== VAR 941112 94PO: REFORMED TYPE (X4F.) COLUMNS 848 - 848 NUMERIC MISSING 0 OR GE 8 Q.X4f. Is this the Christian Reformed Church, the Reformed Church in America, or some other Reformed group? ------------------------------------------------------------ 3 1. CHRISTIAN REFORMED 2 2. REFORMED CHURCH IN AMERICA 1 7. OTHER (SPECIFY) 8. DON'T KNOW; "JUST REFORMED" 9. NA 1789 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-06, 08-31, 98-99 in Q.X4 ============================== VAR 941113 94PO: CHURCH OF BRETHREN TYPE (X4G.) COLUMNS 849 - 849 NUMERIC MISSING 0 OR GE 8 Q.X4g. Is this the Church of the Brethren, the Plymouth Brethren, or what? --------------------------------------------------------- 1. CHURCH OF THE BRETHREN 2. PLYMOUTH BRETHREN 7. OTHER (SPECIFY) 8. DON'T KNOW 9. NA 1795 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-07, 09-31, 98-99 in Q.X4 ============================== VAR 941114 94PO: 'CHRISTIAN' TYPE (X4H.) COLUMNS 850 - 850 NUMERIC MISSING 0 OR GE 8 Q.X4h. When you say "Christian" does that mean the denomination called the "Christian Church (Disciples of Christ)", or some other Christian denomination, or do you mean to say "I am just a Christian"? --------------------------------------------------------- 3 1. DISCIPLES OF CHRIST 12 2. JUST CHRISTIAN 5 7. OTHER, CHRISTIAN (SPECIFY) 8. DON'T KNOW 1 9. NA 1774 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-09, 11-31, 98-99 in Q.X4 ============================== VAR 941115 94PO: CHURCH OF CHRIST TYPE (X4I.) COLUMNS 851 - 851 NUMERIC MISSING 0 OR GE 8 Q.X4i. Is this the Church of Christ or the United Church of Christ? ---------------------------------------------------------- 13 1. CHURCH OF CHRIST 1 2. UNITED CHURCH OF CHRIST 7. OTHER (SPECIFY) 8. DON'T KNOW 1 9. NA 1780 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-11, 13-31, 98-99 in Q.X4 ============================== VAR 941116 94PO: CHURCH OF GOD TYPE (X4J.) COLUMNS 852 - 852 NUMERIC MISSING 0 OR GE 8 Q.X4j. Is this the Church of God of Anderson, Indiana; the Church of God of Cleveland, Tennessee; the Church of God in Christ; or some other Church of God? ------------------------------------------------------------ 2 1. ANDERSON, IN 3 2. CLEVELAND, TN 1 3. IN CHRIST 3 7. OTHER (SPECIFY) 1 8. DON'T KNOW 9. NA 1785 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-14, 16-31, 98-99 in Q.X4 ============================== VAR 941117 94PO: 'OTHER' SUBGROUPINGS (X4X.) COLUMNS 853 - 853 NUMERIC NOMISSING DATA CODES Q.X4x. Text Pointer for Q.X4y ------------------------------- NOTE: Q.X4x and Q.X4y fields are blank. The open-ended responses here have been hand-coded into X7z-R's Religious Affiliation Summary, but the actual responses were deleted. ============================== VAR 941118 94PO: NAME OF 'OTHER' SUBGROUPS (X4Y.) ALPHANUMERIC COLUMNS 854 - 854 CHARACTER NOMISSING DATA CODES Q.X4y. Name of Other (Miscellaneous) Denomination --------------------------------------------------- NOTE: Q.X4x and Q.X4y fields are blank. The open-ended responses here have been hand-coded into X7z-R's Religious Affiliation Summary, but the actual responses were deleted. ============================== VAR 941119 94PO: IS CHURCH/DENOM CHRISTIAN (X5.) COLUMNS 855 - 855 NUMERIC MISSING 0 OR GE 8 Q.X5. Is that group Christian? --------------------------------- 31 1. YES 3 5. NO 8. DK 1 9. NA 1760 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-30, 98-99 in Q.X4 ============================== VAR 941120 94PO: JEWISH ORTH/CONSRV/REF (X6A/X6B.) COLUMNS 856 - 856 NUMERIC MISSING 0 OR GE 8 Q.X6a. Do you usually attend a synagogue or temple that is Orthodox, Conservative, Reform or what? Q.X6b. Do you consider yourself Orthodox, Conservative, Reform, or what? ------------------------------------------------------------ 1 1. ORTHODOX 8 2. REFORM 7 3. CONSERVATIVE 3 7. OTHER, SPECIFY: 8. DON'T KNOW 9. NA 1776 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 1-2, 4, 8-9 in Q.X3a/b; 5, 8-9 in Q.X5 ============================== VAR 941121 94PO: PROT FUND/EVANG/CHARIS/PENT (X7.) COLUMNS 857 - 857 NUMERIC MISSING 0 OR GE 8 Q.X7. (ASK OF PROTESTANTS, CATHOLICS OR OTHER CHRISTIANS) (RB, P. 22) Which one of these words best describes your kind of Christianity, fundamentalist, evangelical, charismatic or pentecostal, moderate to liberal? ------------------------------------------------------------ 108 1. FUNDAMENTALIST 112 2. EVANGELICAL 156 3. CHARISMATIC/PENTECOSTAL 330 4. MODERATE TO LIBERAL 25 5. SOMETHING ELSE (VOLUNTEERED, SPECIFY:) 95 8. DON'T KNOW 8 9. NA 961 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 3, 9 in Q.X3a/b; 11, 21, 27-30, 98-99 in Q.X4; 5, 8-9 in Q.X5 ============================== VAR 941122 94PO: R'S RELGION - SUMMARY (X7Z.) COLUMNS 858 - 860 NUMERIC MISSING 0 OR GE 998 Q.X7z. Religious Affiliation -- SUMMARY ----------------------------------------- Variable 1122 (X7z) contains the information gathered in questions X3a,b; X4a-y and X5. Users who wish to understand the inner working of this section can write to the NES requesting a copy of the questionnaire. Information collected in the open-ended responses (7 in X4a, X4b, X4c, X4d, X4e, X4f, X4g, X4h, X4i, X4j; open-ended responses for codes 18, 19, 21, 31 in X4) have been hand-copied into this summary variable. 1992 data for 1994 panel respondents have been added to this variable. (Although not to the individual variables X4-X4j, X5a, X6a-b from which the summary was built). * Codes followed by an * were added in 1994. GENERAL PROTESTANT 51 010. Protestant, no denomination given 44 020. Non-denominational Protestant 2 030. Community church 2 040. Inter-denominational Protestant 21 099. Christian (NFS); "just Christian" ADVENTIST 5 100. 7th Day Adventist 109. Adventist (NFS) ANGLICAN 59 110. Episcopalian; Anglican 1 111. Independent Anglican, Episcopalian * BAPTIST 13 120. American Baptist Association 17 121. American Baptist Churches U.S.A. (inaccurately known as "Northern Baptist") 122. Baptist Bible Fellowship 123. Baptist General Conference 4 124. Baptist Missionary Association of America 1 125. Conservative Baptist Association of America 3 126. General Association of Regular Baptist Churches (G.A.R.B.) 3 127. National Association of Free Will Baptists (United Free Will Baptist Church) 3 128. Primitive Baptists 5 129. National Baptist Convention in the U.S.A. 130. National Baptist Convention of America 1 131. National Primitive Baptist Convention of the U.S.A. 132. Progressive National Baptist Convention 134. Reformed Baptist (Calvinist) 168 135. Southern Baptist Convention 1 147. Fundamental Baptist (no denom. ties) 35 148. Local (independent) Baptist churches with no denominational ties or links to a national fellowship 74 149. Baptist (NFS) CONGREGATIONAL 17 150. United Church of Christ (includes Congregational, Evangelical and Reformed) 155. Congregational Christian EUROPEAN FREE CHURCH (ANABAPTISTS) 160. Church of the Brethren 161. Brethren (NFS) 1 162. Mennonite Church 163. Moravian Church 164. Old Order Amish 165. Quakers (Friends) 166. Evangelical Covenant Church (not Anabaptist in tradition) 3 167. Evangelical Free Church (not Anabaptist in tradition) 168. Brethren in Christ 170. Mennonite Brethren HOLINESS 3 180. Christian and Missionary Alliance (CMA) 3 181. Church of God (Anderson, IN) 11 182. Church of the Nazarene 1 183. Free Methodist Church 1 184. Salvation Army 2 185. Wesleyan Church 1 186. Church of God of Findlay, OH * 7 199. Holiness (NFS); Church of God (NFS); R not or NA whether R Pentecostal or Charismatic INDEPENDENT-FUNDAMENTALIST 200. Plymouth Brethren 201. Independent Fundamentalist Churches of America 1 219. Independent-Fundamentalist (NFS) LUTHERAN 45 220. Evangelical Lutheran Church in America (formerly Lutheran Church in America and The American Lutheran Church); ELCA 38 221. Lutheran Church--Missouri Synod; LC-MS 3 222. Wisconsin Evangelical Lutheran Synod; WELS 223. Other Conservative Lutheran 18 229. Lutheran (NFS) METHODIST 113 230. United Methodist Church; Evangelical United Brethren 11 231. African Methodist Episcopal Church 232. African Methodist Episcopal Zion Church 233. Christian Methodist Episcopal Church 1 234. Primitive Methodist * 10 249. Methodist (NFS) PENTECOSTAL 21 250. Assemblies of God 5 251. Church of God (Cleveland, TN) 252. Church of God (Huntsville, AL) 2 253. International Church of the Four Square Gospel 1 254. Pentecostal Church of God 6 255. Pentecostal Holiness Church 1 256. United Pentecostal Church International 4 257. Church of God in Christ (incl. NA whether 258) 258. Church of God in Christ (International) 260. Church of God of the Apostolic Faith 1 261. Church of God of Prophecy 1 262. Vineyard Fellowship * 3 267. Apostolic Pentecostal 3 268. Spanish Pentecostal 20 269. Pentecostal (NFS); Church of God (NFS); R not or NA whether R Pentecostal or Chrismatic PRESBYTERIAN 50 270. Presbyterian Church in the U.S.A. 3 271. Cumberland Presbyterian Church 1 272. Presbyterian Church in American (PCA) 275. Evangelical Presbyterian 1 276. Reformed Presbyterian * 4 279. Presbyterian (NFS) REFORMED 5 280. Christian Reformed Church (inaccurately known as "Dutch Reformed") 3 281. Reformed Church in America 282. Free Hungarian Reformed Church 2 289. Reformed (NFS) RESTORATIONIST 12 290. Christian Church (Disciples of Christ) 5 291. Christian Churches and Churches of Christ 24 292. Churches of Christ; "Church of Christ" (NFS) 293. Christian Congregation NON-TRADITIONAL PROTESTANTS 5 300. Christian Scientists 24 301. Mormons; Latter Day Saints 302. Spiritualists 7 303. Unitarian; Universalist 14 304. Jehovah's Witnesses 305. Unity; Unity Church; Christ Church Unity 306. Fundamentalist Adventist (Worldwide Church of God) 1 309. Non-traditional Protestant (NFS) ROMAN CATHOLIC 423 400. Roman Catholic JEWISH 4 500. Jewish, no preference 1 501. Orthodox 14 502. Conservative 16 503. Reformed EASTERN ORTHODOX (GREEK RITE CATHOLIC) 700. Greek Rite Catholic 4 701. Greek Orthodox 702. Russian Orthodox 1 703. Rumanian Orthodox 704. Serbian Orthodox 705. Syrian Orthodox 2 706. Armenian Orthodox 707. Georgian Orthodox 708. Ukranian Orthodox 2 719. Eastern Orthodox (NFS) NON-CHRISTIAN/NON-JEWISH 6 720. Muslim; Mohammedan; Islam 5 721. Buddhist 4 722. Hindu 1 723. Bahai 724. American Indian Religions (Native American Religions) 729. Other non-Christian/non-Jewish 3 790. Religious/ethical cults OTHER/NO RELIGION/MISSING DATA 800. Agnostics 801. Atheists 4 997. Other 5 998. DK 24 999. NA 245 000. Inap, 2 in Q.X0 and short form in 1992; 5, 8-9 in Q.X1a (none, no preference) ============================== VAR 941123 94PO: CKPT: R CHURCH ATTENDANCE (X8.) COLUMNS 861 - 861 NUMERIC MISSING 0 OR GE 9 Q.X8. INTERVIEWER CHECKPOINT ------------------------------- 531 1. R ATTENDS CHURCH MORE OFTEN THAN "A FEW TIMES A YEAR" (1-3 in Q.X2) 482 2. R DOES NOT ATTEND CHURCH (5 in Q.X1; 4-5 in Q.X2) 23 9. NA HOW OFTEN ATTENDS CHURCH (9 in Q.X2) 759 0. Inap, 2 in Q.X0 ============================== VAR 941124 94PO: POLITICAL INFO IN CHURCH (X9.) COLUMNS 862 - 862 NUMERIC MISSING 0 OR GE 8 Q.X9. Was information about candidates, parties or political issues made available in your place of worship before the election? -------------------------------------------------------- 199 1. YES 893 5. NO 114 7. (VOL) DON'T ATTEND CHURCH 68 8. DON'T KNOW (DO NOT PROBE) 16 9. NA 505 0. Inap, 2, 9 in Q.X8 ============================== VAR 941125 94PO: DID CLERGY SUPPRT CAND/PTY (X10.) COLUMNS 863 - 863 NUMERIC MISSING 0 OR GE 8 Q.X10. Did the clergy or other church leaders at your place of worship encourage you to vote for a particular candidate or party? ------------------------------------------------------- 57 1. YES 1073 5. NO 22 8. DK 9 9. NA 635 0. Inap, 2, 9 in Q.X8; 7, 9 in Q.X9 ============================== VAR 941126 94PO: #1 CLERGY SUPPORT (X10A.) COLUMNS 864 - 865 NUMERIC MISSING 0 OR GE 98 Q.X10a(1). Which candidate? <1st mention> IF R SAYS CAN'T REMEMBER CANDIDATE NAME, PROBE: [Which election or what office? Any others?] ---------------------------------------------------------- REPUBLICAN CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 1 12. U.S. Senate candidate, Republican, in state without incumbent 14. U.S. Senate incumbent candidate, Republican 3 16. U.S. Senate candidate challenger candidate, Republican Governor 1 52. Gubernatorial candidate, Republican, in state without incumbent 2 54. Gubernatorial incumbent candidate, Republican 3 56. Gubernatorial candidate challenger candidate, Republican House 32. U.S. House candidate, Republican, in district without incumbent 2 34. U.S. House incumbent candidate, Republican 36. U.S. House candidate challenger candidate, Republican 28. Republican Candidate(s)--NA which candidate(s) 29. Other Republican Candidate--any office level Senate 11. U.S. Senate candidate, Democratic, in state without incumbent 13. U.S. Senate incumbent candidate, Democratic 15. U.S. Senate candidate challenger candidate, Democratic Governor 51. Gubernatorial candidate, Democratic, in state without incumbent 3 53. Gubernatorial incumbent candidate, Democratic 55. Gubernatorial candidate challenger candidate, Democratic House 31. U.S. House candidate, Democratic, in district without incumbent 6 33. U.S. House incumbent candidate, Democratic 35. U.S. House candidate challenger candidate, Democratic 2 68. Democratic Candidate(s)--NA which candidate(s) 69. Other Democratic Candidate--any office level PARTY ORGANIZATION MENTIONED AS SUCH 4 71. Republican Party 3 75. Democratic Party 79. Other party (only) OTHER 80. Other independent or minor party candidate--any office level 85. Third/other party INDEPENDENT CANDIDATES 50. Gubernatorial candidate, Independent, in state without incumbent 93. Democratic candidate for short-term Senate seat (Tennessee) 94. Republican candidate for short-term Senate seat (Tennessee) 1 95. Other candidate(s) for state/local offices (office level given but party NA) 6 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates 5 97. Candidate name given but party/office level NA (low priority) 9 98. DON'T KNOW, CAN'T REMEMBER 6 99. NA 1738 00. Inap, 2, 9 in Q.X8; 7, 9 in Q.X9; 5, 8-9 in Q.X10; 98-99 in Q.X10a; no further mention ============================== VAR 941127 94PO: #2 CLERGY SUPPORT (X10A.) COLUMNS 866 - 867 NUMERIC MISSING 0 Q.X10a(2). Which candidate? <2nd mention> IF R SAYS CAN'T REMEMBER CANDIDATE NAME, PROBE: [Which election or what office? Any others?] ---------------------------------------------------------- Senate 12. U.S. Senate candidate, Republican, in state without incumbent 1 14. U.S. Senate incumbent candidate, Republican 16. U.S. Senate candidate challenger candidate, Republican Governor 52. Gubernatorial candidate, Republican, in state without incumbent 54. Gubernatorial incumbent candidate, Republican 56. Gubernatorial candidate challenger candidate, Republican House 32. U.S. House candidate, Republican, in district without incumbent 34. U.S. House incumbent candidate, Republican 1 36. U.S. House candidate challenger candidate, Republican 1 28. Republican Candidate(s)--NA which candidate(s) 29. Other Republican Candidate--any office level Senate 11. U.S. Senate candidate, Democratic, in state without incumbent 13. U.S. Senate incumbent candidate, Democratic 15. U.S. Senate candidate challenger candidate, Democratic Governor 51. Gubernatorial candidate, Democratic, in state without incumbent 2 53. Gubernatorial incumbent candidate, Democratic 55. Gubernatorial candidate challenger candidate, Democratic House 31. U.S. House candidate, Democratic, in district without incumbent 1 33. U.S. House incumbent candidate, Democratic 35. U.S. House candidate challenger candidate, Democratic 68. Democratic Candidate(s)--NA which candidate(s) 69. Other Democratic Candidate--any office level PARTY ORGANIZATION MENTIONED AS SUCH 71. Republican Party 75. Democratic Party 79. Other party (only) OTHER 80. Other independent or minor party candidate--any office level 85. Third/other party INDEPENDENT CANDIDATES 50. Gubernatorial candidate, Independent, in state without incumbent 93. Democratic candidate for short-term Senate seat (Tennessee) 94. Republican candidate for short-term Senate seat (Tennessee) 95. Other candidate(s) for state/local offices (office level given but party NA) 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates 1 97. Candidate name given but party/office level NA (low priority) 1788 00. Inap, 2 in Q.X8; 7, 9 in Q.X9; 5, 8-9 in Q.X10; 98-99 in Q.X10a; no further mention ============================== VAR 941128 94PO: #3 CLERGY SUPPORT (X10A.) COLUMNS 868 - 869 NUMERIC MISSING 0 Q.X10a(3). Which candidate? <3rd mention> IF R SAYS CAN'T REMEMBER CANDIDATE NAME, PROBE: [Which election or what office? Any others?] ---------------------------------------------------------- REPUBLICAN CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 12. U.S. Senate candidate, Republican, in state without incumbent 14. U.S. Senate incumbent candidate, Republican 16. U.S. Senate candidate challenger candidate, Republican Governor 52. Gubernatorial candidate, Republican, in state without incumbent 1 54. Gubernatorial incumbent candidate, Republican 56. Gubernatorial candidate challenger candidate, Republican House 32. U.S. House candidate, Republican, in district without incumbent 1 34. U.S. House incumbent candidate, Republican 36. U.S. House candidate challenger candidate, Republican 28. Republican Candidate(s)--NA which candidate(s) 29. Other Republican Candidate--any office level DEMOCRATIC CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 11. U.S. Senate candidate, Democratic, in state without incumbent 13. U.S. Senate incumbent candidate, Democratic 15. U.S. Senate candidate challenger candidate, Democratic Governor 51. Gubernatorial candidate, Democratic, in state without incumbent 53. Gubernatorial incumbent candidate, Democratic 55. Gubernatorial candidate challenger candidate, Democratic House 31. U.S. House candidate, Democratic, in district without incumbent 33. U.S. House incumbent candidate, Democratic 35. U.S. House candidate challenger candidate, Democratic 68. Democratic Candidate(s)--NA which candidate(s) 69. Other Democratic Candidate--any office level PARTY ORGANIZATION MENTIONED AS SUCH 71. Republican Party 75. Democratic Party 79. Other party (only) OTHER 80. Other independent or minor party candidate--any office level 85. Third/other party INDEPENDENT CANDIDATES 50. Gubernatorial candidate, Independent, in state without incumbent 93. Democratic candidate for short-term Senate seat (Tennessee) 94. Republican candidate for short-term Senate seat (Tennessee) 95. Other candidate(s) for state/local offices (office level given but party NA) 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates 1 97. Candidate name given but party/office level NA (low priority) 1792 00. Inap, 2 in Q.X8; 7, 9 in Q.X9; 5, 8-9 in Q.X10; 98-99 in Q.X10a; no further mention ============================== VAR 941201 94PO: MONTH OF BIRTH (Y1A.) COLUMNS 870 - 871 NUMERIC MISSING GE 98 Q.Y1a. What is the month, day and year of your birth?--MONTH ------------------------------------------------ MONTH was coded (01-12) 98. DK 99. NA; refused ============================== VAR 941202 94PO: YEAR OF BIRTH (Y1B.) COLUMNS 872 - 875 NUMERIC MISSING GE 9998 Q.Y1b. What is the month, day and year of your birth?--YEAR ------------------------------------------------ Actual YEAR was coded (1880-1978) 9998. DK 9999. NA; refused ============================== VAR 941203 94PO: RECODED AGE (Y1X.) COLUMNS 876 - 877 NUMERIC MISSING 0 Q.Y1x. Recoded AGE -------------------- Built from Q.12, Q.Y1a and Q.Y1b--not entered by coder. Month and year of R's birth subtracted from month and year of interview. If year of birth was NA or refused (9999 in Q.Y1b), but age of respondent was given by informant in the household listing, then age from household listing was used in Q.Y1x. 18-91 = actual age 99. 99 years or older N=1795 MEAN=46.48348 ST.DEV=17.78999 MIN=18.00000 MAX=91.00000 ============================== VAR 941204 94PO: MARITAL STATUS (Y2.) COLUMNS 878 - 878 NUMERIC MISSING GE 8 Q.Y2. Are you married now and living with your (husband/wife) --or are you widowed, divorced, separated, or have you never married? ------------------------------------------------------------ If spouse in nursing home, or works and lives in another city, or family is in process of moving and temporarily holding 2 residences, code 1 is used. 945 1. MARRIED AND LIVING WITH SPOUSE (OR SPOUSE IN SERVICE) 340 2. NEVER MARRIED 211 3. DIVORCED 58 4. SEPARATED 191 5. WIDOWED 50 7. PARTNERS NOT MARRIED (VOL.) 8. DK 1 9. NA ============================== VAR 941205 94PO: CKPT: CROSS-SECTION/PANEL (Y2A.) COLUMNS 879 - 879 NUMERIC NOMISSING DATA CODES Q.Y2a. INTERVIEWER CHECKPOINT ------------------------------- 1036 1. CROSS-SECTION (LILAC COVERSHEET) (2 in V2) 759 2. PANEL (TAN COVERSHEET) (1 in V2; 0 in Q.Y3a-Y3c, Q.Y3e-Y3xx; 96 in Q.Y3, Q.Y3d) ============================== VAR 941206 94PO: HIGHEST GRADE OF EDUCATION (Y3.) COLUMNS 880 - 881 NUMERIC MISSING GE 96 Q.Y3. What is the highest grade of school or year of college you have completed? ------------------------------------------------------- Code Actual GRADE was coded (00-17), except: 759 96. Inap, 2 in Q.Y2a 1 98. DK 1 99. NA ============================== VAR 941207 94PO: R GET HS DIPLOMA OR EQUIV (Y3A.) COLUMNS 882 - 882 NUMERIC MISSING 0 OR GE 8 Q.Y3a. Did you get a high school diploma or pass a high school equivalency test? --------------------------------------------------------- 359 1. YES 170 5. NO 8. DK 2 9. NA 1264 0. Inap, 2 in Q.Y2a; 13-17, 98-99 in Q.Y3 ============================== VAR 941208 94PO: HIGHEST DEGREE OF EDUCATN (Y3B.) COLUMNS 883 - 884 NUMERIC MISSING 0 OR GE 98 Q.Y3b. What is the highest degree that you have earned? --------------------------------------------------------- 161 01. Bachelor's degree: BS, BA, AB, AB in TH, B ARCH, BCH E, BCL, BCS, BE, B ED, BFA, BJ, B LIT, BSA, BSC, BSED, BSES, BS in CE, BS in CHE, BS in ED, BS in LS, JCB, LITB, SB, STB, BD 53 02. Master's degree: MS, MSC, MA MAT, MBA, BDS, MED, MFA, EDM, LIM, MPH, MPA, MS in LS, MSW, MUSM, SM, STM, MMUS, MFS, MSLS 9 03. PHD, LITD, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 4 04. LLB, JD 7 05. MD, DDS, DVM, MVS, DSC, DO (Doctor of Osteopathy) 06. JDC, STD, THD 76 07. Associate Degree, AA 182 96. No degree earned 98. DK 11 99. NA 1292 00. Inap, 2 in Q.Y2a; 00-12, 98-99 in Q.Y3 ============================== VAR 941209 94PO: R'S EDUCATION - SUMMARY (Y3X.) COLUMNS 885 - 885 NUMERIC MISSING 0 OR GE 98 Q.Y3x. SUMMARY: R's Education ------------------------------- Built from Q.Y3, Q.Y3a and Q.Y3b For panel respondents the data from 1992 was copied here. 99 01. 8 grades or less and no diploma or equivalency (0-8 in Q.Y3; 5 in Q.Y3a) 191 02. 9-11 grades, no further schooling (incl. 12 yrs. without diploma or equivalency) (9-12 in Q.Y3 and 5 in Q.Y3a) 589 03. High school diploma, or equivalency test (1 in Q.Y3a) 311 04. More than 12 years of schooling, no higher degree (13-17 in Q.Y3 and 96 in Q.Y3b) 129 05. Junior or community college level degrees (AA degrees) (07 in Q.Y3b) 300 06. BA level degrees; 17+ years, no advanced degree (01 in Q.Y3b) 139 07. Advanced degree, including LLB (02-06 in Q.Y3b) 1 98. DK (98 in Q.Y3; 8 in Q.Y3a; 98 in Q.Y3b) 36 99. NA (99 in Q.Y3; 9-12 in Q.Y3 and 9 in Q.Y3a; 13-17 in Q.Y3 and 99 in Q.Y3b) 1 00. Inap, 2 in Q.Y2a and short form in 1992 ============================== VAR 941210 94PO: CKPT: MARRIED/PARTNERED (Y3C.) COLUMNS 886 - 886 NUMERIC MISSING 0 Q.Y3c. INTERVIEWER CHECKPOINT ------------------------------- 547 1. R IS MARRIED OR LIVING WITH PARTNER (BOX '1' OR "7" MARKED AT Y2) (1,7 in Q.Y2) 489 2. ALL OTHERS (2-5, 8-9 in Q.Y2) 759 0. INAP, 1994 Panel ============================== VAR 941211 94PO: HIGHEST GRADE SPOUSE EDUC (Y3D.) COLUMNS 887 - 888 NUMERIC MISSING GE 96 Q.Y3d. What is the highest grade of school or year of college (your husband/your wife/your partner) has completed? ------------------------------------------------------------ Actual GRADE was coded (00-17), except: 96. Inap, 2 in Q.Y2a; 2 in Q.Y3c 98. DK 99. NA ============================== VAR 941212 94PO: SPOUSE GET HS DPLOMA/EQUIV (Y3E.) COLUMNS 889 - 889 NUMERIC MISSING 0 OR GE 8 Q.Y3e. Did (he/she) get a high school diploma or pass a high school equivalency test? --------------------------------------------------------- If YES coded here, Q.Y3d must be coded 12. 215 1. YES 66 5. NO 8. DK 5 9. NA 1509 0. Inap, 2 in Q.Y2a; 2 in Q.Y3c, 13-17, 98-99 in Q.Y3d ============================== VAR 941213 94PO: HIGHST DEGREE SPOUSE EDUC (Y3F.) COLUMNS 890 - 891 NUMERIC MISSING 0 OR GE 98 Q.Y3f. What is the highest degree that (he/she) has earned? ----------------------------------------------------- 89 01. Bachelor's degree: BS, BA, AB, AB in TH, B ARCH, BCH E, BCL, BCS, BE, B ED, BFA, BJ, B LIT, BSA, BSC, BSED, BSES, BS in CE, BS in CHE, BS in ED, BS in LS, JCB, LITB, SB, STB, BD 29 02. Master's degree: MS, MSC, MA MAT, MBA, BDS, MED, MFA, EDM, LIM, MPH, MPA, MS in LS, MSW, MUSM, SM, STM, MMUS, MFS, MSLS 3 03. PHD, LITD, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 2 04. LLB, JD 5 05. MD, DDS, DVM, MVS, DSC, DO (Doctor of Osteopathy) 1 06. JDC, STD, THD 34 07. Associate Degree, AA 74 96. No degree earned 8 98. DK 14 99. NA 1536 00. Inap, 2 in Q.Y2a; 2 in Q.Y3c; 00-12, 98-99 in Q.Y3d ============================== VAR 941214 94PO: SPOUSE EDUCATN - SUMMARY (Y3XX.) COLUMNS 892 - 893 NUMERIC MISSING 0 OR GE 98 Q.Y3xx. SUMMARY: Spouse's Education ------------------------------------ Built from Q.Y3d, Q.Y3e and Q.Y3f For panel respondents the data from 1992 was copied here. 43 01. 8 grades or less and no diploma or equivalency (0-8 in Q.Y3d; 5 in Q.Y3e) 89 02. 9-11 grades, no further schooling (incl. 12 yrs. without diploma or equivalency) (9-12 in Q.Y3d and 5 in Q.Y3e) 359 03. High school diploma, or equivalency test (1 in Q.Y3e) 128 04. More than 12 years of schooling, no higher degree (13-17 in Q.Y3d and 96 in Q.Y3f) 70 05. Junior or community college level degrees (AA degrees) (07 in Q.Y3f) 166 06. BA level degrees; 17+ years, no advanced degree (01 in Q.Y3f) 87 07. Advanced degree, including LLB (02-06 in Q.Y3f) 15 98. DK (98 in Q.Y3d; 8 in Q.Y3e; 98 in Q.Y3f) 29 99. NA (99 in Q.Y3d; 9-12 in Q.Y3d and 9 in Q.Y3e; 13-17 in Q.Y3d and 99 in Q.Y3f) 811 00. Inap, 2 in Q.Y3c and short form in 1992 ============================== VAR 941215 94PO: R EMPLOYMENT STATUS (Y4.) COLUMNS 894 - 895 NUMERIC MISSING GE 99 Q.Y4. (RB, P. 23) We'd like to know if you are working now, temporarily laid off, or are you unemployed, retired, permanently disabled, (a homemaker), (a student), or what? (MARK ALL THAT APPLY) ---------------------------------------------------------- This variable is precoded by scanning the entire employment section for R (Q.Y4-Y20a) to determine if R has information in more than one work status category; e.g., is both a housewife and working now. 1017 10. WORKING NOW only 14 15. R volunteers WORKING NOW and RETIRED--currently working 20 hours or more a week 2 16. PERMANENTLY DISABLED and WORKING NOW, currently working 20 hours or more a week 39 17. R volunteers WORKING NOW and HOMEMAKER, currently working 20 hours or more a week 46 18. R volunteers WORKING NOW and STUDENT, currently working 20 hours or more a week 23 20. TEMPORARILY LAID OFF 55 40. UNEMPLOYED 315 50. RETIRED--no other occupation 15 51. R volunteers RETIRED and WORKING NOW, currently working less than 20 hours a week 55 60. PERMANENTLY DISABLED--NOT WORKING 1 61. PERMANENTLY DISABLED and WORKING NOW, currently working less than 20 hours 132 70. HOMEMAKER--no other occupation 22 71. R volunteers HOMEMAKER and WORKING NOW, currently working less than 20 hours a week 6 75. R volunteers HOMEMAKER and STUDENT--no other occupation (0 in 37 80. STUDENT--no other occupation 15 81. R volunteers STUDENT and WORKING NOW, currently less than 20 hours a week 1 99. NA--see supervisor before using ============================== VAR 941216 94PO: R EMPLOYMNT STATUS SUMMARY (Y4X.) COLUMNS 896 - 896 NUMERIC MISSING GE 9 Q.Y4x. SUMMARY: R's working status ------------------------------------ Built from Q.Y4--not entered by coders 1119 1. R working now or is retired/permanently disabled/ homemaker/student working 20 hours or more per week (10, 15-18 in Q.Y4) 23 2. R temporarily laid off (20 in Q.Y4) 55 4. R unemployed (40 in Q.Y4) 330 5. R retired and not working 20 hours or more per week (50, 51 in Q.Y4) 56 6. R permanently disabled and not working 20 hours or more per week (60, 61 in Q.Y4) 160 7. R homemaker not working 20 hours or more per week (70-71, 75 in Q.Y4) 51 8. R student not working 20 hours or more per week (80, 81 in Q.Y4) 1 9. NA (99 in Q.Y4) ============================== VAR 941217 94PO: R UNEMPL- EVR WORK FOR PAY (Y4A.) COLUMNS 897 - 897 NUMERIC MISSING 0 OR GE 8 Q.Y4a. (IF R IS UNEMPLOYED) Have you ever done any work for pay? --------------------------------------------------------- 48 1. YES 6 5. NO 8. DK 1 9. NA 1740 0. Inap, 10, 15-18, 20, 50-51, 60-61, 70-71, 75, 80-81, 99 in Q.Y4 ============================== VAR 941218 94PO: R RETIRED- WHEN RETIRED (Y4B.) COLUMNS 898 - 899 NUMERIC MISSING 0 OR GE 99 Q.Y4b. (IF R IS RETIRED) When did you retire? ----------------------------------------------- The last two digits of YEAR were coded (35-94), except: 99. NA 00. Inap, 10, 16-18, 20, 40, 60-61, 70-71, 75, 80-81, 99 in Q.Y4 N=333 MEAN=82.94081 ST.DEV=9.369803 MIN=35.00000 MAX=94.00000 ============================== VAR 941219 94PO: R DISABL- EVR WORK FOR PAY (Y4C.) COLUMNS 900 - 900 NUMERIC MISSING 0 OR GE 8 Q.Y4c. (IF R IS DISABLED) Have you ever done any work for pay? ----------------------------------------------------------- 51 1. YES 7 5. NO 8. DK 9. NA 1737 0. Inap, 10, 15, 17-18, 20, 40, 50-51, 70-71, 75, 80-81, 99 in Q.Y4 ============================== VAR 941220 94PO: R HMKER/STUD- WORKING NOW? (Y4D.) COLUMNS 901 - 901 NUMERIC MISSING 0 OR GE 8 Q.Y4d. (IF R IS HOMEMAKER OR STUDENT) Are you doing any work for pay at the present time? --------------------------------------------------------- 115 1. YES 174 5. NO 8. DK 7 9. NA 1499 0. Inap, 10, 15-16, 20, 40, 50-51, 60-61, 99 in Q.Y4 ============================== VAR 941221 94PO: R UNEMP HM/ST-WRK PAST 6MO (Y4E.) COLUMNS 902 - 902 NUMERIC MISSING 0 OR GE 9 Q. Y4e. (IF R IS HOMEMAKER OR STUDENT NOT WORKING AT PRESENT) In the last six months, did you do any work for pay? -------------------------------------------------------- 34 1. YES 140 5. NO 1 9. NA 1621 0. Inap, 10, 15-16, 20, 40, 50-51, 60-61, 99 in Q.Y4; 1, 8-9 in Q.Y4d ============================== VAR 941222 94PO: R WORKING- OCCUPATION (Y5A.) COLUMNS 903 - 904 NUMERIC MISSING 0 OR GE 98 Q.Y5. (R WORKING NOW OR TEMPORARILY LAID OFF) What is your main occupation? (What sort of work do you do?) Q.Y5a. What are your most important activities or duties? ----------------------------------------------------------- The original 3-digit 1980 US Census Occupation variable has been recoded to protect Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to the full 3-digit code value. See CENSUS OCCUPATION MASTER CODE 98. DK 99. NA 00. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR 941223 94PO: R WORKING- COLLPSD OCCUP (Y5X-1.) COLUMNS 905 - 906 NUMERIC MISSING 0 OR GE 98 Q. Y5x(1). (R WORKING NOW OR TEMPORARILY LAID OFF) Collapsed 1980 Occupation Code --------------------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from Q.Y5a 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200-235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286-389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428-469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700-799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 N=1198 MEAN=5.742790 ST.DEV=3.776716 MIN=1.000000 MAX=14.00000 ============================== VAR 941224 94PO: R WORKING- PRESTGE SCORE (Y5X-2.) COLUMNS 907 - 907 NUMERIC NOMISSING DATA CODES Q.Y5x(2). (R WORKING NOW OR TEMPORARILY LAID OFF) PRESTIGE SCORES (00) ----------------------------------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. ============================== VAR 941225 94PO: R WORKING- INDUSTRY (Y5B.) COLUMNS 908 - 910 NUMERIC MISSING 0 OR GE 998 Q.Y5b. (R WORKING NOW OR TEMPORARILY LAID OFF) What kind of (business/industry) is that? ---------------------------------------------------------- Use 3-digit 1980 CENSUS INDUSTRY CODE, except: 998. DK 999. NA 000. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR 941226 94PO: R WORKING FOR SELF/OTHER (Y6.) COLUMNS 911 - 911 NUMERIC MISSING 0 OR GE 8 Q.Y6. (R WORKING NOW OR TEMPORARILY LAID OFF) Do you work for someone else, are you self-employed, or what? ------------------------------------------------------------ 1006 1. SOMEONE ELSE 38 2. BOTH SOMEONE ELSE AND SELF 147 3. SELF ONLY 8. DK 4 9. NA 601 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR 941227 94PO: R WORKING FOR GOVERNMENT (Y6A.) COLUMNS 912 - 912 NUMERIC MISSING 0 OR GE 8 Q.Y6a. (R WORKING NOW OR TEMPORARILY LAID OFF) Are you employed by a federal, state or local government? ------------------------------------------------------- 229 1. YES 810 5. NO 2 8. DK 3 9. NA 751 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4; 3, 8-9 in Q.Y6 ============================== VAR 941228 94PO: R WORKING- NO. HOURS (Y7.) COLUMNS 913 - 914 NUMERIC MISSING 0 OR GE 98 Q.Y7. (R WORKING NOW OR TEMPORARILY LAID OFF) About how many hours do you work on your job in the average week? ---------------------------------------------------------- Code actual number of HOURS A WEEK (01-95), except: 97. 97 or more hours 98. DK 99. NA 00. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 N=1190 MEAN=42.07717 ST.DEV=13.90163 MIN=1.000000 MAX=97.00000 ============================== VAR 941229 94PO: R WORKNG- WANT MOR/FWR HRS (Y7A.) COLUMNS 915 - 915 NUMERIC MISSING 0 OR GE 8 Q.Y7a. (R WORKING NOW OR TEMPORARILY LAID OFF) Is that more hours than you want to work, fewer hours than you want to work, or generally about right? ----------------------------------------------------------- 119 1. FEWER 729 3. ABOUT RIGHT 342 5. MORE 8. DK 4 9. NA 601 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR 941230 94PO: R WORKING- WORRY LOSE JOB (Y8.) COLUMNS 916 - 916 NUMERIC MISSING 0 OR GE 8 Q.Y8. (R WORKING NOW OR TEMPORARILY LAID OFF) How worried are you about losing your job in the near future; a lot, somewhat, or not much at all? ------------------------------------------------------------ 97 1. A LOT 202 3. SOMEWHAT 886 5. NOT MUCH AT ALL 4 8. DON'T KNOW; REFUSED 5 9. NA 601 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR 941231 94PO: CKPT: R WORK NOW OR TLO (Y9.) COLUMNS 917 - 917 NUMERIC MISSING 0 Q.Y9. INTERVIEWER CHECKPOINT ------------------------------- 1171 1. R IS WORKING NOW 23 2. R TEMPORARILY LAID OFF 601 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR 941232 94PO: R WORKG- LAID OFF IN PAST (Y9A.) COLUMNS 918 - 918 NUMERIC MISSING 0 OR GE 8 Q.Y9a. (R IS WORKING NOW) Were you out of work or laid off at any time during the last six months? ----------------------------------------------------------- 123 1. YES 1045 5. NO 8. DK 3 9. NA 624 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4; 2 in Q.Y9 ============================== VAR 941233 94PO: R WORKG- PAY/HRS CUT? (Y9B.) COLUMNS 919 - 919 NUMERIC MISSING 0 OR GE 8 Q.Y9b. (R IS WORKING NOW) During the last six months, have you had a reduction in your work hours or had to take a cut in pay at any time for reasons other than illness or personal choice? ----------------------------------------------------------- 114 1. YES 1052 5. NO 8. DK 5 9. NA 624 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4; 2 in Q.Y9 ============================== VAR 941234 94PO: R UN/RET/DIS- OCCUPTN (Y10/Y10A.) COLUMNS 920 - 921 NUMERIC MISSING 0 OR GE 98 Q.Y10. (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) What kind of work did you do on your last regular job? (What was your occupation?) Q.Y10a. What were your most important activities or duties? ------------------------------------------------------------ The original 3-digit 1980 US Census Occupation variable has been recoded to protect Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to the full 3-digit code value. See CENSUS OCCUPATION MASTER CODE 98. DK 99. NA 00. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c ============================== VAR 941235 94PO: R UN/RET/DIS- COLL OCC (Y10X-1.) COLUMNS 922 - 923 NUMERIC MISSING 0 OR GE 98 Q.Y10x(1). (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Collapsed 1980 Occupation Code ----------------------------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from Q.Y10/10a 63 01. Executive, Administrative and Managerial (001-039) 56 02. Professional Speciality Occupations (040-199) 9 03. Technicians and Related Support Occupations (200-235) 46 04. Sales Occupation (236-285) 66 05. Administrative Support, including Clerical (286-389) 6 06. Private Household (403-407) 5 07. Protective Service (408-427) 51 08. Service exc. Protective and Household (428-469) 11 09. Farming, Forestry and Fishing Occupations (470-499) 47 10. Precision Production, Craft and Repair Occupations (500-699) 54 11. Machine Operators, Assemblers and Inspectors (700-799) 16 12. Transportation and Material Moving Occupations (800-859) 8 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 1 14. Member of Armed Forces (900) 98. DK 5 99. NA 1351 00. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c ============================== VAR 941236 94PO: R UN/RET/DIS- PRESTIGE (Y10X-2.) COLUMNS 924 - 924 NUMERIC NOMISSING DATA CODES Q.Y10x(2). (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) PRESTIGE SCORES (00) ----------------------------------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. ============================== VAR 941237 94PO: R UN/RET/DIS- INDUSTRY (Y10B.) COLUMNS 925 - 927 NUMERIC MISSING 0 OR GE 998 Q.Y10b. (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) What kind of (business/industry) was that? -------------------------------------------------------- Use 3-digit 1980 CENSUS INDUSTRY CODE, except: 998. DK 999. NA 000. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c ============================== VAR 941238 94PO: R UN/RET/DIS- WRK FOR SELF (Y11.) COLUMNS 928 - 928 NUMERIC MISSING 0 OR GE 8 Q.Y11. (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Did you work for someone else, were you self-employed, or what? ------------------------------------------------------------ 387 1. SOMEONE ELSE 10 2. BOTH SOMEONE ELSE AND SELF 41 3. SELF ONLY 8. DK 6 9. NA 1351 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c ============================== VAR 941239 94PO: R UN/RET/DIS-WRK FOR GOVT (Y11A.) COLUMNS 929 - 929 NUMERIC MISSING 0 OR GE 8 Q.Y11a. (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Were you employed by a federal, state or local government? ---------------------------------------------------------- 100 1. YES 294 5. NO 8. DK 3 9. NA 1398 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c; 3, 8-9 in Q.Y11 ============================== VAR 941240 94PO: R UN/RET/DIS-WORK PST 6 MO (Y12.) COLUMNS 930 - 930 NUMERIC MISSING 0 OR GE 8 Q.Y12. (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Have you had a job in the past six months? ------------------------------------------------------------ 69 1. YES 370 5. NO 8. DK 5 9. NA 1351 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c ============================== VAR 941241 94PO: R UN/RET/DIS- HOURS WORKD (Y12A.) COLUMNS 931 - 932 NUMERIC MISSING 0 OR GE 98 Q.Y12a. (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED: IF R HAS WORKED IN THE PAST 6 MONTHS) About how many hours did you work on your job in the average week? ----------------------------------------------------------- Code actual number of HOURS A WEEK (01-70), except: 97. 97 or more hours 98. DK 99. NA 00. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c; 5, 8-9 in Q.Y12 N=65 MEAN=35.96246 ST.DEV=15.85323 MIN=1.000000 MAX=70.00000 ============================== VAR 941242 94PO: CKPT: UNEMPL OR RET/DISBLD (Y13.) COLUMNS 933 - 933 NUMERIC MISSING 0 Q.Y13. INTERVIEWER CHECKPOINT: EMPLOYMENT STATUS --------------------------------------------------- 48 1. R IS UNEMPLOYED 396 2. R IS RETIRED OR PERMANENTLY DISABLED 1351 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c ============================== VAR 941243 94PO: R RET/DIS- WORKING NOW (Y14.) COLUMNS 934 - 934 NUMERIC MISSING 0 OR GE 9 Q.Y14. (R IS RETIRED OR PERMANENTLY DISABLED) Are you doing any work for pay at the present time? ------------------------------------------------------------ 33 1. YES 358 5. NO 5 9. NA 1399 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c; 1 in Q.Y13 ============================== VAR 941244 94PO: R RET/DIS- LOOKNG FOR WORK (Y15.) COLUMNS 935 - 935 NUMERIC MISSING 0 OR GE 9 Q.Y15. (R IS RETIRED OR PERMANENTLY DISABLED) Are you looking for work at the present time? ------------------------------------------------------ 46 1. YES 357 5. NO 3 9. NA 1389 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c; 1, 9 in Q.Y14 ============================== VAR 941245 94PO: R UN/RET/D-WORRY FIND JOB (Y15A.) COLUMNS 936 - 936 NUMERIC MISSING 0 OR GE 8 Q.Y15a. (R IS RETIRED OR PERMANENTLY DISABLED) How worried are you about not being able to find a job in the near future; a lot, somewhat, or not much at all? ----------------------------------------------------------- 34 1. A LOT 28 3. SOMEWHAT 322 5. NOT MUCH AT ALL 5 8. DON'T KNOW; REFUSED 18 9. NA 1389 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c; 1, 9 in Q.Y14 ============================== VAR 941246 94PO: R HM/STUD- OCCUPATION (Y16/Y16A.) COLUMNS 937 - 938 NUMERIC MISSING 0 OR GE 98 Q.Y16. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) What kind of work did you do on your last regular job? (What was your occupation?) Q.Y16a. What were your most important activities or duties? ------------------------------------------------------------ The original 3-digit 1980 US Census Occupation variable has been recoded to protect Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to the full 3-digit code value. See CENSUS OCCUPATION MASTER CODE 98. DK 99. NA 00. Inap, 10, 15-16, 20, 40, 50-51, 60-61, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e ============================== VAR 941247 94PO: R HM/STUD- COLL OCCUP (Y16X-1.) COLUMNS 939 - 940 NUMERIC MISSING 0 OR GE 98 Q.Y16x(1). (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) 1980 CENSUS MAJOR GROUP CATEGORIES ------------------------------------------------------------ Built from Q.Y16/16a 01. Executive, Administrative and Managerial (001-039) 3 02. Professional Speciality Occupations (040-199) 2 03. Technicians and Related Support Occupations (200-235) 3 04. Sales Occupation (236-285) 9 05. Administrative Support, including Clerical (286-389) 2 06. Private Household (403-407) 07. Protective Service (408-427) 6 08. Service exc. Protective and Household (428-469) 1 09. Farming, Forestry and Fishing Occupations (470-499) 1 10. Precision Production, Craft and Repair Occupations (500-699) 5 11. Machine Operators, Assemblers and Inspectors (700-799) 12. Transportation and Material Moving Occupations (800-859) 2 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 1761 00. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e ============================== VAR 941248 94PO: R HM/STUD- PRESTIGE (Y16X-2.) COLUMNS 941 - 941 NUMERIC NOMISSING DATA CODES Q.Y16x(2). (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) PRESTIGE SCORES (00) ---------------------------------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. ============================== VAR 941249 94PO: R HM/STUD- INDUSTRY (Y17.) COLUMNS 942 - 944 NUMERIC MISSING 0 OR GE 998 Q.Y17. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) What kind of (business/industry) was that? ------------------------------------------------------------ Use 3-digit 1980 CENSUS INDUSTRY CODE, except: 998. DK 999. NA 000. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e ============================== VAR 941250 94PO: R HM/STUD- WORKD FOR SELF (Y18.) COLUMNS 945 - 945 NUMERIC MISSING 0 OR GE 8 Q.Y18. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) Did you work for someone else, were you self-employed, or what? ---------------------------------------------------------- 31 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3 3. SELF ONLY 8. DK 9. NA 1761 0. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e ============================== VAR 941251 94PO: R HM/STUD- WORKD FOR GOVT (Y18A.) COLUMNS 946 - 946 NUMERIC MISSING 0 OR GE 8 Q.Y18a. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) Were you employed by a federal, state or local government? ----------------------------------------------------------- 6 1. YES 25 5. NO 8. DK 9. NA 1764 0. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e; 3, 8-9 in Q.Y18 ============================== VAR 941252 94PO: R HM/STUD- HOURS WORKED (Y19.) COLUMNS 947 - 948 NUMERIC MISSING 0 OR GE 98 Q.Y19. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) About how many hours did you work on your job in the average week? ---------------------------------------------------------- Code actual number of HOURS A WEEK (01-96), except: 97. 97 or more hours 98. DK 99. NA 00. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e N=34 MEAN=35.86281 ST.DEV=15.09188 MIN=1.000000 MAX=70.00000 ============================== VAR 941253 94PO: R HM STUD- LOOKNG FOR WORK (Y20.) COLUMNS 949 - 949 NUMERIC MISSING 0 OR GE 8 Q.Y20. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) Are you looking for work at the present time? ---------------------------------------------------------- 11 1. YES 22 5. NO 8. DK 1 9. NA 1761 0. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e ============================== VAR 941254 94PO: R HM/STUD- WORRY FIND JOB (Y20A.) COLUMNS 950 - 950 NUMERIC MISSING 0 OR GE 8 Q.Y20a. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) How worried are you about not being able to find a job in the near future; a lot, somewhat, or not much at all? ----------------------------------------------------------- 8 1. A LOT 7 3. SOMEWHAT 19 5. NOT MUCH AT ALL 8. DON'T KNOW; REFUSED 1761 0. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e ============================== VAR 941255 94PO: RC1. R'S OCCUPATION STACK COLUMNS 951 - 952 NUMERIC MISSING 0 OR GE 98 Q.RC1. WHAT IS/WAS YOUR MAIN OCCUPATION? WHAT SORT OF WORK DO/DID YOU DO? Q.RC1A. WHAT ARE/WERE YOUR MOST IMPORTANT ACTIVITIES OR DUTIES? ----------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF RESPONDENT IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF R IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. SEE CENSUS OCCUPATION MASTER CODE. 01. . . 71. 98. DK 99. NA 00. INAP; 70, 75, 80, 99 in Y4; 5, 9 IN Y4a; 5, 9 IN, Y4c ============================== VAR 941256 94PO: RC2. R'S OCCUP HEADINGS COLUMNS 953 - 954 NUMERIC MISSING 0 OR GE 98 Q.RC2. COLLAPSED 1980 OCCUPATION CODE FOR R'S CURRENT/FORMER OCCUPATION ------------------------------------------------------------ THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF RESPONDENT IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF R IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 1980 CENSUS MAJOR GROUP CATEGORIES 01. EXECUTIVE, ADMINISTRATIVE AND MANAGERIAL(001-039) 02. PROFESSIONAL SPECIALITY OCCUPATIONS(040-199) 03. TECHNICIANS AND RELATED SUPPORT OCCUPATIONS(200-235) 04. SALES OCCUPATIONS (236-285) 05. ADMINISTRATIVE SUPPORT, INCLUDING CLERICAL(286-389) 06. PRIVATE HOUSEHOLD (403-407) 07. PROTECTIVE SERVICE (408-427) 08. SERVICE EXCEPT PROTECTIVE AND HOUSEHOLD(428-469) 09. FARMING, FORESTRY AND FISHING OCCUPATIONS(470-499) 10. PRECISION PRODUCTION, CRAFT AND REPAIR OCCUPATIONS(500-699) 11. MACHINE OPERATORS, ASSEMBLERS, AND INSPECTORS(700-799) 12. TRANSPORTATION AND MATERIAL MOVING OCCUPATIONS(800-859) 13. HANDLERS, EQUIPMENT CLEARNERS, HELPERS AND LABORERS(860-890) 14. MEMBER OF ARMED FORCES (900) 98. DK 99. NA 00. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C N=1600 MEAN=5.840206 ST.DEV=3.785207 MIN=1.000000 MAX=14.00000 ============================== VAR 941257 94PO: RC3. R'S PRESTIGE BRACK COLUMNS 955 - 955 NUMERIC MISSING 0 Q.RC3. COLLAPSED PRESTIGE SCORE -------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the data. 00000. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN, Y4C; 99 in RC1/1A ============================== VAR 941258 94PO: RC4. R'S INDUSTRY STACK COLUMNS 956 - 958 NUMERIC MISSING 0 OR GE 998 Q.RC4. WHAT DO/DID THEY MAKE OR DO WHERE YOU WORK/ED? WHAT KIND OF BUSINESS OR INDUSTRY IS/WAS THAT? ---------------------------------------------------------- SEE CENSUS INDUSTRY MASTER CODE THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF RESPONDENT IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF R IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 010. . . 990. 998. DK 999. NA 000. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C ============================== VAR 941259 94PO: RC5. R'S EMPLOYED SELF/OTHER COLUMNS 959 - 959 NUMERIC MISSING 0 OR GE 8 Q.RC5. DO/DID YOU WORK FOR SOMEONE ELSE, ARE/WERE YOU SELF-EMPLOYED, OR WHAT? ----------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. IF RESPONDENT IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF R IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 1371 1. SOMEONE ELSE 47 2. BOTH SOMEONE ELSE AND SELF 181 3. SELF ONLY 8. DK 8 9. NA 189 0. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C ============================== VAR 941260 94PO: RC6. R'S EMPLOYED BY GOVER COLUMNS 960 - 960 NUMERIC MISSING 0 OR GE 8 Q.RC6. ARE/WERE YOU EMPLOYED BY A FEDERAL, STATE OR LOCAL GOVERNMENT? --------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF RESPONDENT IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF R IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 325 1. YES 1085 5. NO 2 8. DK 5 9. NA 378 0. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C; 3, 8-9 IN Y6; 3, 8-9 IN Y11 ============================== VAR 941261 94PO: RC7. R'S # HOURS WORK A WEEK COLUMNS 961 - 962 NUMERIC MISSING 0 OR GE 98 Q.RC7. ABOUT HOW MANY HOURS DO/DID YOU WORK ON YOUR JOB IN THE AVERAGE WEEK? ---------------------------------------------------------- ACTUAL NUMBER OF HOURS A WEEK THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT IS CODED 40 IN Y4 AND HAS WORKED IN THE PAST SIX MONTHS, THIS VARIABLE DESCRIBES EMPLOYMENT DURING THE PAST SIX MONTHS. FOR Rs WHO ARE RETIRED OR DISABLED AND HAVE WORKED IN THE PAST SIX MONTHS, THIS VARIABLE DESCRIBES EMPLOYMENT DURING THE PAST SIX MONTHS (FOR Rs CODED 15,16,51 OR 61 IN Y4, HOURS FROM Y12a RATHER THAN Y7 ARE CODED). 01. . . 96. 97. NINETY-SEVEN OR MORE 98. DK 99. NA 00. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C; 5,9 IN Y12 N=1227 MEAN=42.20530 ST.DEV=13.77538 MIN=1.000000 MAX=97.00000 ============================== VAR 941262 94PO: RC8. R'S WORRY LOOSING JOB COLUMNS 963 - 963 NUMERIC MISSING 0 OR GE 8 Q.RC8. HOW WORRIED ARE YOU ABOUT LOSING YOUR JOB/NOT BEING ABLE TO FIND A JOB IN THE NEAR FUTURE; A LOT, SOMEWHAT, OR NOT MUCH AT ALL? ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] Rs CODED 40 OR 60 IN Y4 WHO HAVE NEVER WORKED FOR PAY ARE NOT ASKED THIS QUESTION. FOR Rs WHO ARE RETIRED OR DISABLED AND HAVE WORKED IN THE PAST 6 MONTHS, THIS VARIABLE DESCRIBES EMPLOYMENT DURING THE PAST 6 MONTHS (FOR Rs CODED 15,16,51,61 IN Y4, DATA FROM Y15a RATHER THAN FROM Y8 ARE CODED). 130 1. A LOT 229 3. SOMEWHAT 1180 5. NOT MUCH AT ALL 9 8. DON'T KNOW, REFUSED 21 9. NA 227 0. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C; 1,9 IN Y14 ============================== VAR 941263 94PO: RC9. R'S HAD JOB IN PAST 6 MONTH COLUMNS 964 - 964 NUMERIC MISSING 0 OR GE 8 Q.RC9. HAVE YOU HAD A JOB IN THE PAST SIX MONTHS? ------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. Rs CODED 40 OR 60 IN Y4 WHO HAVE NEVER WORKED ARE NOT ASKED THIS QUESTION. 69 1. YES 370 5. NO 8. DK 5 9. NA 1351 0. INAP; 10,17-18,20,70-71,75,80-81,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C ============================== VAR 941264 94PO: RC10. R'S LOOKING FOR JOB NOW COLUMNS 965 - 965 NUMERIC MISSING 0 OR GE 8 Q.RC10. ARE YOU LOOKING FOR WORK AT THE PRESENT TIME? ----------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. Rs CODED 40 OR 60 IN Y4 WHO HAVE NEVER WORKED ARE NOT ASKED THIS QUESTION. 46 1. YES 357 5. NO 8. DK 3 9. NA 1389 0. INAP; 10,17-18,20,70-71,75,80-81,99 IN Y4; 5,9 IN Y4A; Y4A; 5,9 IN Y4C; 1,9 IN Y14 ============================== VAR 941265 94PO: RC11. R'S EVER WORKED FOR PAY COLUMNS 966 - 966 NUMERIC MISSING 0 OR GE 9 Q.RC11. HAVE YOU EVER DONE ANY WORK FOR PAY? -------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE UNEMPLOYED OR PERMANENTLY DISABLED. 99 1. YES 13 5. NO 1 9. NA 1682 0. INAP; 10,15,17-18,20,50-51,70-71,75,80-81,99 IN Y4 ============================== VAR 941301 94PO: CKPT: R MARRIED/PARTNERED (Y21.) COLUMNS 967 - 967 NUMERIC NOMISSING DATA CODES Q.Y21. INTERVIEWER CHECKPOINT ------------------------------- 995 1. R IS MARRIED (OR PARTNERED) (1 or 7 in Q.Y2) 800 2. ALL OTHERS (0 in Q.Y22-Y37a) ============================== VAR 941302 94PO: SPOUSE EMPLOYMENT STATUS (Y22.) COLUMNS 968 - 969 NUMERIC MISSING 0 OR GE 99 Q.Y22. (RB, STILL ON P. 23) We'd like to know about (your husband/wife/your partner). Is (he/she) working now, temporarily laid off, or is (he/she) unemployed, retired, permanently disabled, (a homemaker), (a student), or what? (MARK ALL THAT APPLY) ----------------------------------------------------------- See coding note at Y4 for assignment of 2-digit workstatus code. 633 10. WORKING NOW only 7 15. R volunteers WORKING NOW and RETIRED--currently working 20 hours or more a week 16. PERMANENTLY DISABLED and WORKING NOW, currently working 20 hours or more a week 22 17. R volunteers WORKING NOW and HOMEMAKER, currently working 20 hours or more a week 8 18. R volunteers WORKING NOW and STUDENT, currently working 20 hours or more a week 8 20. TEMPORARILY LAID OFF 16 40. UNEMPLOYED 122 50. RETIRED--no other occupation 9 51. R volunteers RETIRED and WORKING NOW, currently working less than 20 hours a week 26 60. PERMANENTLY DISABLED--NOT WORKING 61. PERMANENTLY DISABLED and WORKING NOW, currently working less than 20 hours 112 70. HOMEMAKER--no other occupation 13 71. R volunteers HOMEMAKER and WORKING NOW, currently working less than 20 hours a week 4 75. R volunteers HOMEMAKER and STUDENT--no other occupation 11 80. STUDENT--no other occupation 3 81. R volunteers STUDENT and WORKING NOW, currently less than 20 hours a week 1 99. NA--see supervisor before using 800 00. Inap, 2 in Q.Y21 ============================== VAR 941303 94PO: SPOUSE EMP STATUS SUMMARY (Y22X.) COLUMNS 970 - 970 NUMERIC MISSING 0 OR GE 9 Q.Y22x. SUMMARY: Spouse's working status ----------------------------------------- Built from Q.Y22--not entered by coders 671 1. R working now or is retired/permanently disabled/ homemaker/student working 20 hours or more per week (10, 15-18 in Q.Y22) 8 2. R temporarily laid off (20 in Q.Y22) 16 4. R unemployed (40 in Q.Y22) 131 5. R retired and not working 20 hours or more per week (50, 51 in Q.Y22) 26 6. R permanently disabled and not working 20 hours or more per week (60, 61 in Q.Y22) 129 7. R homemaker not working 20 hours or more per week (70-71, 75 in Q.Y22) 14 8. R student not working 20 hours or more per week (80, 81 in Q.Y22) 1 9. NA (99 in Q.Y22) 800 0. Inap, 2 in Q.Y21 ============================== VAR 941304 94PO: SP UNEMP-EVER WRK FOR PAY (Y22A.) COLUMNS 971 - 971 NUMERIC MISSING 0 OR GE 8 Q.Y22a. (IF SPOUSE IS UNEMPLOYED) Has (he/she) ever done any work for pay? --------------------------------------------------------- 16 1. YES 5. NO 8. DK 9. NA 1779 0. Inap, 2 in Q.Y21; 10, 15-18, 20, 50-51, 60-61, 70-71, 75, 80-81, 99 in Q.Y22 ============================== VAR 941305 94PO: SP RET- WHEN RETIRED (Y22B.) COLUMNS 972 - 973 NUMERIC MISSING 0 OR GE 98 Q.Y22b. (IF SPOUSE IS RETIRED) When did (he/she) retire? --------------------------------------------------------- Code last two digits of YEAR (58-94), except: 98. DK 99. NA 00. Inap, 2 in Q.Y21; 10, 16-18, 20, 40, 60-61, 70-71, 75, 80-81, 99 in Q.Y22 N=130 MEAN=84.91201 ST.DEV=7.137271 MIN=58.00000 MAX=94.00000 ============================== VAR 941306 94PO: SP DIS- EVER WRK FOR PAY (Y22C.) COLUMNS 974 - 974 NUMERIC MISSING 0 OR GE 8 Q.Y22c. (IF SPOUSE IS DISABLED) Has (he/she) ever done any work for pay? ----------------------------------------------------------- 24 1. YES 2 5. NO 8. DK 9. NA 1769 0. Inap, 2 in Q.Y21; 10, 15, 17-18, 20, 40, 50-51, 70-71, 75, 80-81, 99 in Q.Y22 ============================== VAR 941307 94PO: SP HM/STU- WORKING NOW (Y22D.) COLUMNS 975 - 975 NUMERIC MISSING 0 OR GE 8 Q.Y22d. (IF SPOUSE IS HOMEMAKER OR STUDENT) Is (he/she) doing any work for pay at the present time? -------------------------------------------------------- 42 1. YES 127 5. NO 8. DK 4 9. NA 1622 0. Inap, 2 in Q.Y21; 10, 15-16, 20, 40, 50-51, 60-61, 99 in Q.Y22 ============================== VAR 941308 94PO: SP UNEM HM/ST-WRK PST 6MO (Y22E.) COLUMNS 976 - 976 NUMERIC MISSING 0 OR GE 8 Q.Y22e. In the last six months, did (he/she) do any work for pay? --------------------------------------------------------- 17 1. YES 110 5. NO 8. DK 9. NA 1668 0. Inap, 2 in Q.Y21; 10, 15-16, 20, 40, 50-51, 60-61, 99 in Q.Y22; 1, 8-9 in Q.Y22d ============================== VAR 941309 94PO: SP WRKG- OCCUPATION (Y23/Y23A.) COLUMNS 977 - 978 NUMERIC MISSING 0 OR GE 98 Q.Y23. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) What is (his/her) main occupation? (What sort of work does (he/she) do?) Q.Y23a. What are (his/her) most important activities or duties? ------------------------------------------------------------ The orginal 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See CENSUS OCCUPATION MASTER CODE 98. DK 99. NA 00. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR 941310 94PO: SP WRKG- COLL OCCUP (Y23X-1.) COLUMNS 979 - 980 NUMERIC MISSING 0 OR GE 98 Q.Y23x(1). (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) Collapsed 1980 Occupation Code -------------------------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from V1309 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200-235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286-389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428-469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700-799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 N=706 MEAN=5.792064 ST.DEV=3.795728 MIN=1.000000 MAX=14.00000 ============================== VAR 941311 94PO: SP WRKG- PRESTIGE (Y23X-2.) COLUMNS 981 - 981 NUMERIC NOMISSING DATA CODES Q.Y23x(2). (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) PRESTIGE SCORES (00) -------------------------------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. ============================== VAR 941312 94PO: SP WRKG- INDUSTRY (Y23B.) COLUMNS 982 - 984 NUMERIC MISSING 0 OR GE 998 Q.Y23b. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) What kind of (business/industry) is that? ---------------------------------------------------------- Use 3-digit 1980 CENSUS INDUSTRY CODE, except: 998. DK 999. NA 000. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR 941313 94PO: SP WRKG- WORK FOR SELF (Y24.) COLUMNS 985 - 985 NUMERIC MISSING 0 OR GE 8 Q.Y24. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) Does (he/she) work for someone else, is (he/she) self-employed, or what? ---------------------------------------------------------- 586 1. SOMEONE ELSE 22 2. BOTH SOMEONE ELSE AND SELF 96 3. SELF ONLY 8. DK 9. NA 1092 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR 941314 94PO: SP WRKG- WORK FOR GOVT (Y24A.) COLUMNS 986 - 986 NUMERIC MISSING 0 OR GE 8 Q.Y24a. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) Is (he/she) employed by a federal, state or local government? ---------------------------------------------------------- 118 1. YES 490 5. NO 8. DK 9. NA 1188 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22; 3, 8-9 in Q.Y24 ============================== VAR 941315 94PO: SP WRKG- NO. HOURS (Y25.) COLUMNS 987 - 988 NUMERIC MISSING 0 OR GE 98 Q.Y25. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) About how many hours does (he/she) work on (his/her) job in the average week? ---------------------------------------------------------- Code actual number of HOURS A WEEK (01-96), except: 97. 97 or more hours 98. DK 99. NA 00. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 N=701 MEAN=42.42432 ST.DEV=14.64302 MIN=1.000000 MAX=97.00000 ============================== VAR 941316 94PO: SP WRKG- WANT MOR/FWR HRS (Y25A.) COLUMNS 989 - 989 NUMERIC MISSING 0 OR GE 8 Q.Y25a. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) Is that more hours than (he/she) wants to work, fewer hours than (he/she) wants to work, or generally about right? -------------------------------------------------------- 44 1. FEWER 440 3. ABOUT RIGHT 216 5. MORE 2 8. DK 1 9. NA 1092 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR 941317 94PO: SP WRKG- WORRY LOSE JOB (Y26.) COLUMNS 990 - 990 NUMERIC MISSING 0 OR GE 8 Q.Y26. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) How worried is (he/she) about losing (his/her) job in the near future; a lot, somewhat, or not much at all? ---------------------------------------------------------- 44 1. A LOT 106 3. SOMEWHAT 547 5. NOT MUCH AT ALL 5 8. DON'T KNOW; REFUSED 1 9. NA 1092 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR 941318 94PO: CKPT: SPOUSE WORKING/TLO (Y27.) COLUMNS 991 - 991 NUMERIC MISSING 0 Q.Y27. INTERVIEWER CHECKPOINT ------------------------------- 695 1. SPOUSE/PARTNER IS WORKING NOW 8 2. SPOUSE/PARTNER TEMPORARILY LAID OFF 1092 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR 941319 94PO: SP WRKG- LAYOFF PAST 6 MO (Y27A.) COLUMNS 992 - 992 NUMERIC MISSING 0 OR GE 8 Q.Y27a. (SPOUSE IS WORKING NOW) Was (he/she) out of work or laid off at any time during the last six months? ------------------------------------------------------------ 68 1. YES 625 5. NO 8. DK 2 9. NA 1100 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22; 2 in Q.Y27 ============================== VAR 941320 94PO: SP WRKG- PAY/HRS CUT? (Y27B.) COLUMNS 993 - 993 NUMERIC MISSING 0 OR GE 8 Q.Y27b. (SPOUSE IS WORKING NOW) During the last six months, has (he/she) had a reduction in (his/her) work hours or had to take a cut in pay at any time for reasons other than illness or personal choice? ------------------------------------------------------------ 69 1. YES 622 5. NO 8. DK 4 9. NA 1100 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22; 2 in Q.Y27 ============================== VAR 941321 94PO: SP UN/RET/DIS- OCCUPN (Y28/Y28A.) COLUMNS 994 - 995 NUMERIC MISSING 0 OR GE 999 Q.Y28. (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) What kind of work did (he/she) do on (his/her) last regular job? (What was (his/her) occupation?) Q.Y28a. What were (his/her) most important activities or duties? ------------------------------------------------------------ The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See CENSUS OCCUPATION MASTER CODE 999. NA 000. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in 1304; 5, 8-9 in 1306 ============================== VAR 941322 94PO: SP UN/RET/DIS- COLL OCC (Y28X-1.) COLUMNS 996 - 997 NUMERIC MISSING 0 OR GE 98 Q.Y28x(1). (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Collapsed 1980 Occupation Code ------------------------------------------------------ 1980 CENSUS MAJOR GROUP CATEGORIES Built from Q.Y28/a 21 01. Executive, Administrative and Managerial (001-039) 22 02. Professional Speciality Occupations (040-199) 3 03. Technicians and Related Support Occupations (200-235) 13 04. Sales Occupation (236-285) 28 05. Administrative Support, including Clerical (286-389) 1 06. Private Household (403-407) 4 07. Protective Service (408-427) 15 08. Service exc. Protective and Household (428-469) 9 09. Farming, Forestry and Fishing Occupations (470-499) 26 10. Precision Production, Craft and Repair Occupations (500-699) 17 11. Machine Operators, Assemblers and Inspectors (700-799) 9 12. Transportation and Material Moving Occupations (800-859) 6 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 2 14. Member of Armed Forces (900) 98. DK 3 99. NA 1617 00. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in 1304; 5, 8-9 in Q.Y22c ============================== VAR 941323 94PO: SP UN/RET/DIS- PRESTIGE (Y28X-2.) COLUMNS 998 - 998 NUMERIC NOMISSING DATA CODES Q.Y28x(2). (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) PRESTIGE SCORES (00) ------------------------------------------------------ NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. ============================== VAR 941324 94PO: SP UN/RET/DIS- INDUSTRY (Y28B.) COLUMNS 999 - 1001 NUMERIC MISSING 0 OR GE 998 Q.Y28b. (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) What kind of (business/industry) was that? ---------------------------------------------------- Code number pre-coded in green Use 3-digit 1980 CENSUS INDUSTRY CODE, except: 998. DK 999. NA 000. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in 1304; 5, 8-9 in Q.Y22c ============================== VAR 941325 94PO: SP UN/RET/DIS-WRK FOR SELF (Y29.) COLUMNS 1002 - 1002 NUMERIC MISSING 0 OR GE 8 Q.Y29. (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Did (he/she) work for someone else, was (he/she) self-employed, or what? ------------------------------------------------------------ 155 1. SOMEONE ELSE 3 2. BOTH SOMEONE ELSE AND SELF 18 3. SELF ONLY 8. DK 2 9. NA 1617 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in 1304; 5, 8-9 in Q.Y22c ============================== VAR 941326 94PO: SP UN/RET/DIS-WRK FOR GOVT (Y29A.) COLUMNS 1003 - 1003 NUMERIC MISSING 0 OR GE 8 Q.Y29a. (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Was (he/she) employed by a federal, state or local government? ------------------------------------------------------------ 46 1. YES 112 5. NO 8. DK 9. NA 1637 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in 1304; 5, 8-9 in Q.Y22c; 3, 8-9 in Q.Y29 ============================== VAR 941327 94PO: SP UN/RET/DIS-JOB PST 6 MOS (Y30.) COLUMNS 1004 - 1004 NUMERIC MISSING 0 OR GE 8 Q.Y30. (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Has (he/she) had a job in the past six months? -------------------------------------------------------- 26 1. YES 150 5. NO 8. DK 2 9. NA 1617 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in Q.Y22a; 5, 8-9 in Q.Y22c ============================== VAR 941328 94PO: SP UN/RET/DIS- HRS WORKED (Y30A.) COLUMNS 1005 - 1006 NUMERIC MISSING 0 OR GE 98 Q.Y30a. (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED: IF R HAS WORKED IN THE PAST 6 MONTHS) About how many hours did (he/she) work on (his/her) job in the average week? ------------------------------------------------------------ Code actual number of HOURS A WEEK (04-70), except: 97. 97 or more hours 98. DK 99. NA 00. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in 1304; 5, 8-9 in Q.Y22c; 5, 8-9 in Q.Y30 N=24 MEAN=33.42346 ST.DEV=15.90140 MIN=4.000000 MAX=70.00000 ============================== VAR 941329 94PO: CKPT: SP UNEMPL OR RET/DIS (Y31.) COLUMNS 1007 - 1007 NUMERIC MISSING 0 Q.Y31. INTERVIEWER CHECKPOINT: EMPLOYMENT STATUS --------------------------------------------------- 16 1. SPOUSE/PARTNER IS UNEMPLOYED 161 2. SPOUSE/PARTNER IS RETIRED OR PERMANENTLY DISABLED 1617 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in Q.Y22a; 5, 8-9 in Q.Y22c ============================== VAR 941330 94PO: SP RET/DIS- WORKING NOW (Y31A.) COLUMNS 1008 - 1008 NUMERIC MISSING 0 OR GE 9 Q.Y31a. (SPOUSE IS RETIRED OR PERMANENTLY DISABLED) Is (he/she) doing any work for pay at the present time? ------------------------------------------------------- 16 1. YES 139 5. NO 6 9. NA 1634 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in Q.Y22a; 5, 8-9 in Q.Y22c; 1 in Q.Y31 ============================== VAR 941331 94PO: SP RET/DIS- LOOKNG FOR WRK (Y32.) COLUMNS 1009 - 1009 NUMERIC MISSING 0 OR GE 8 Q.Y32. (SPOUSE IS RETIRED OR PERMANENTLY DISABLED) Is (he/she) looking for work at the present time? ------------------------------------------------------ 10 1. YES 144 5. NO 8. DK 1 9. NA 1639 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in Q.Y22a; 5, 8-9 in Q.Y22c; 1, 9 in Q.Y31a ============================== VAR 941332 94PO: SP UN/RET/D-WORRY FND JOB (Y32A.) COLUMNS 1010 - 1010 NUMERIC MISSING 0 OR GE 8 Q.Y32a. (SPOUSE IS RETIRED OR PERMANENTLY DISABLED) How worried is (he/she) about not being able to find a job in the near future; a lot, somewhat, or not much at all? --------------------------------------------------------- 11 1. A LOT 7 3. SOMEWHAT 129 5. NOT MUCH AT ALL 4 8. DON'T KNOW; REFUSED 4 9. NA 1640 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in Q.Y22a; 5, 8-9 in Q.Y22c; 1, 9 in Q.Y31a ============================== VAR 941333 94PO: SP HM/STU- OCCUPATION (Y33/Y33A.) COLUMNS 1011 - 1012 NUMERIC MISSING 0 OR GE 98 Q.Y33. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) What kind of work did (he/she) do on (his/her) last regular job? (What was (his/her) occupation?) Q.Y33a. What were (his/her) most important activities or duties? ---------------------------------------------------------- The orginal 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See CENSUS OCCUPATION MASTER CODE 98. DK 99. NA 00. Inap, 2 in Q.Y21; 10, 15-16, 20, 40, 50-51, 60-61, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e ============================== VAR 941334 94PO: SP HM/STU- COLL OCCUP (Y33X-1.) COLUMNS 1013 - 1014 NUMERIC MISSING 0 OR GE 98 Q.Y33x(1). (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) Collapsed 1980 Occupation Code ---------------------------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from Q.Y33/a 1 01. Executive, Administrative and Managerial (001-039) 3 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200-235) 2 04. Sales Occupation (236-285) 5 05. Administrative Support, including Clerical (286-389) 1 06. Private Household (403-407) 07. Protective Service (408-427) 2 08. Service exc. Protective and Household (428-469) 2 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 1 11. Machine Operators, Assemblers and Inspectors (700-799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 1778 00. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e ============================== VAR 941335 94PO: SP HM/STU- PRESTIGE (Y33X-2.) COLUMNS 1015 - 1015 NUMERIC NOMISSING DATA CODES Q.Y33x(2). (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) PRESTIGE SCORES (00) --------------------------------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. ============================== VAR 941336 94PO: SP HM/STU- INDUSTRY (Y34.) COLUMNS 1016 - 1018 NUMERIC MISSING 0 OR GE 998 Q.Y34. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) What kind of (business/industry) was that? ---------------------------------------------------------- Use 3-digit 1980 CENSUS INDUSTRY CODE, except: 998. DK 999. NA 000. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e ============================== VAR 941337 94PO: SP HM/STU- WORKED FOR SELF (Y35.) COLUMNS 1019 - 1019 NUMERIC MISSING 0 OR GE 8 Q.Y35. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) Did (he/she) work for someone else, was (he/she) self-employed, or what? ----------------------------------------------------------- 15 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 2 3. SELF ONLY 8. DK 9. NA 1778 0. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e ============================== VAR 941338 94PO: SP HM/STU- WORKED FOR GOVT (Y35A.) COLUMNS 1020 - 1020 NUMERIC MISSING 0 OR GE 8 Q.Y35a. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) Was (he/she) employed by a federal, state or local government? ---------------------------------------------------------- 1. YES 15 5. NO 8. DK 9. NA 1780 0. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e; 3, 8-9 in Q.Y35 ============================== VAR 941339 94PO: SP HM/STU- HRS WORKED (Y36.) COLUMNS 1021 - 1022 NUMERIC MISSING 0 OR GE 98 Q.Y36. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) About how many hours did (he/she) work on (his/her) job in the average week? ------------------------------------------------------------ Code actual number of HOURS A WEEK (03-50), except: 97. 97 or more hours 98. DK 99. NA 00. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e N=17 MEAN=31.66962 ST.DEV=14.87503 MIN=2.000000 MAX=50.00000 ============================== VAR 941340 94PO: SP HM/STU- LOOKG FOR JOB (Y37.) COLUMNS 1023 - 1023 NUMERIC MISSING 0 OR GE 8 Q.Y37. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) Is (he/she) looking for work at the present time? ------------------------------------------------------------ 4 1. YES 13 5. NO 8. DK 9. NA 1778 0. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e ============================== VAR 941341 94PO: SP HM/STU- WORRY FIND JOB (Y37A.) COLUMNS 1024 - 1024 NUMERIC MISSING 0 OR GE 8 Q.Y37a. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) How worried is (he/she) about not being able to find a job in the near future; a lot, somewhat, or not much at all? ------------------------------------------------------------ 5 1. A LOT 3 3. SOMEWHAT 8 5. NOT MUCH AT ALL 1 8. DON'T KNOW; REFUSED 9. NA 1778 0. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e ============================== VAR 941342 94PO: RC1001. SPOUSE OCCUPATION STACK COLUMNS 1025 - 1026 NUMERIC MISSING 0 OR GE 98 Q.RC1001. WHAT IS/WAS HIS/HER (SPOUSE'S/PARTNER'S) MAIN OCCUPATION? WHAT SORT OF WORK DO/DID HE/SHE DO? Q.RC1001A. WHAT ARE/WERE HIS/HER MOST IMPORTANT ACTIVITIES OR DUTIES? ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF SPOUSE IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondent's/spouse's/ partner's anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See CENSUS OCCUPATION Master Code. 01. . . 71. 98. DK 99. NA 00. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR 941343 94PO: RC1002. SPOUSE OCCUP HEADINGS COLUMNS 1027 - 1028 NUMERIC MISSING 0 OR GE 98 Q.RC1002. COLLAPSED 1980 OCCUPATION CODE FOR R'S SPOUSE'S/PARTNER'S CURRENT/FORMER OCCUPATION ------------------------------------------------ 1980 CENSUS MAJOR GROUP CATEGORIES THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF SPOUSE IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 103 01. EXECUTIVE, ADMINISTRATIVE AND MANAGERIAL(001-039) 148 02. PROFESSIONAL SPECIALITY OCCUPATIONS(040-199) 33 03. TECHNICIANS AND RELATED SUPPORT OCCUPATIONS(200-235) 85 04. SALES OCCUPATIONS (236-285) 126 05. ADMINISTRATIVE SUPPORT, INCLUDING CLERICAL(286-389) 5 06. PRIVATE HOUSEHOLD (403-407) 11 07. PROTECTIVE SERVICE (408-427) 68 08. SERVICE EXCEPT PROTECTIVE AND HOUSEHOLD(428-469) 29 09. FARMING, FORESTRY AND FISHING OCCUPATIONS(470-499) 118 10. PRECISION PRODUCTION, CRAFT AND REPAIR OCCUPATIONS(500-699) 65 11. MACHINE OPERATORS, ASSEMBLERS, AND INSPECTORS(700-799) 43 12. TRANSPORTATION AND MATERIAL MOVING OCCUPATIONS(800-859) 22 13. HANDLERS, EQUIPMENT CLEARNERS, HELPERS AND LABORERS(860-890) 5 14. MEMBER OF ARMED FORCES (900) 98. DK 4 99. NA 930 00. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR 941344 94PO: RC1003. SPOUSE PRESTIGE BRACK COLUMNS 1029 - 1029 NUMERIC MISSING 0 Q.RC1003. COLLAPSED PRESTIGE SCORE ----------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the data. 00000. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN, Y4C; 99 in RC1001/1001A ============================== VAR 941345 94PO: RC1004. SPOUSE INDUSTRY STACK COLUMNS 1030 - 1032 NUMERIC MISSING 0 OR GE 998 Q.RC1004. WHAT DO/DID THEY MAKE OR DO WHERE S/HE WORKS/WORKED? WHAT KIND OF BUSINESS OR INDUSTRY IS/WAS THAT? ------------------------------------------------------- SEE CENSUS INDUSTRY MASTER CODE. THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF SPOUSE IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 010. . . 990. 998. DK 999. NA 000. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR 941346 94PO: RC1005. SPOUSE EMPLOYED SELF/OTHER COLUMNS 1033 - 1033 NUMERIC MISSING 0 OR GE 8 Q.RC1005. DOES/DID S/HE (SPOUSE/PARTNER) WORK FOR SOMEONE ELSE, IS/WAS S/HE SELF-EMPLOYED, OR WHAT? --------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF SPOUSE IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 728 1. SOMEONE ELSE 24 2. BOTH SOMEONE ELSE AND SELF 111 3. SELF ONLY 8. DK 2 9. NA 930 0. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR 941347 94PO: RC1006. SPOUSE EMPLOY GOVERNMENT COLUMNS 1034 - 1034 NUMERIC MISSING 0 OR GE 8 Q.RC1006. IS/WAS S/HE (SPOUSE/PARTNER) EMPLOYED BY A FEDERAL,STATE OR LOCAL GOVERNMENT? ---------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF SPOUSE IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 159 1. YES 593 5. NO 8. DK 9. NA 1043 0. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C; 3,8-9 IN Y24; 3,8-9 IN Y29 ============================== VAR 941348 94PO: RC1007. SPOUSE # HOURS WORK A WEEK COLUMNS 1035 - 1036 NUMERIC MISSING 0 OR GE 98 Q.RC1007. ABOUT HOW MANY HOURS DOES/DID S/HE (SPOUSE/PARTNER) WORK ON HIS/HER JOB IN THE AVERAGE WEEK? --------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. STUDENTS. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF SPOUSE IS CODED 40 IN Y22 AND HAS WORKED IN THE PAST SIX MONTHS, THIS VARIABLE DESCRIBES EMPLOYMENT DURING THE PAST SIX MONTHS. FOR SPOUSES WHO ARE RETIRED OR DISABLED AND HAVE WORKED IN THE PAST SIX MONTHS, THIS VARIABLE DESCRIBES EMPLOYMENT DURING THE PAST SIX MONTHS (FOR SPOUSES CODED 15,16,51 OR 61 IN Y22, HOURS FROM Y30a RATHER THAN Y25 ARE CODED). 01. . . 96. 97. NINETY-SEVEN OR MORE 98. DK 99. NA 00. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C; 5,8-9 IN Y30 N=712 MEAN=42.51255 ST.DEV=14.49845 MIN=2.000000 MAX=97.00000 ============================== VAR 941349 94PO: RC1008. SPOUSE WORRY LOOSING JOB COLUMNS 1037 - 1037 NUMERIC MISSING 0 OR GE 8 Q.RC1008. HOW WORRIED IS S/HE (SPOUSE/PARTNER) ABOUT LOSING HIS/HER JOB/NOT BEING ABLE TO FIND JOB IN THE NEAR FUTURE; A LOT, SOMEWHAT, OR NOT MUCH AT ALL? ------------------------------------------------------------ THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] SPOUSES CODED 40 OR 60 IN Y22 WHO HAVE NEVER WORKED FOR PAY ARE NOT ASKED THIS QUESTION. FOR SPOUSES WHO ARE RETIRED OR DISABLED AND HAVE WORKED IN THE PAST 6 MONTHS, THIS VARIABLE DESCRIBES EMPLOYMENT DURING THE PAST 6 MONTHS (FOR SPOUSES CODED 15,16,51,61 IN Y22, DATA FROM Y32a RATHER THAN FROM Y26 ARE CODED). 55 1. A LOT 111 3. SOMEWHAT 662 5. NOT MUCH AT ALL 9 8. DON'T KNOW, REFUSED 5 9. NA 953 0. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C; 1,8-9 IN Y31A ============================== VAR 941350 94PO: RC1009. SPOUSE HAD JOB PAST 6 MO COLUMNS 1038 - 1038 NUMERIC MISSING 0 OR GE 8 Q.RC1009. HAS S/HE (SPOUSE/PARTNER) HAD A JOB IN THE PAST SIX MONTHS? --------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. SPOUSES CODED 40 OR 60 IN Y22 WHO HAVE NEVER WORKED ARE NOT ASKED THIS QUESTION. 26 1. YES 150 5. NO 8. DK 2 9. NA 1617 0. INAP; 2 IN Y21; 10,17-18,20,70-71,75,80-81,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR 941351 94PO: RC1010. SPOUSE LOOKING FOR JOB NOW COLUMNS 1039 - 1039 NUMERIC MISSING 0 OR GE 8 Q.RC1010. IS S/HE (SPOUSE/PARTNER) LOOKING FOR WORK AT THE PRESENT TIME? ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. SPOUSES CODED 40 OR 60 IN Y22 WHO HAVE NEVER WORKED ARE NOT ASKED THIS QUESTION. 10 1. YES 144 5. NO 8. DK 1 9. NA 1639 0. INAP; 2 IN Y21; 10,17-18,20,70-71,75,80-81,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C; 1,8-9 IN Y31A ============================== VAR 941352 94PO: RC1011. SPOUSE EVER WORKED FOR PAY COLUMNS 1040 - 1040 NUMERIC MISSING 0 OR GE 8 Q.RC1011. HAS S/HE (SPOUSE/PARTNER) EVER DONE ANY WORK FOR PAY? ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE UNEMPLOYED OR PERMANENTLY DISABLED. 40 1. YES 2 5. NO 8. DK 9. NA 1753 0. INAP; 2 IN Y21; 10,17-18,20,50-51,70-71,75, 80-81,99 IN Y22 PERMANENTLY DISABLED. ============================== VAR 941401 94PO: ANYONE IN LABOR UNION (Y38.) COLUMNS 1041 - 1041 NUMERIC MISSING GE 8 Q.Y38. Do you or anyone else in this household belong to a labor union? ------------------------------------------------------------ 300 1. YES 1493 5. NO 1 8. DK 1 9. NA ============================== VAR 941402 94PO: WHO BELNGS TO LABOR UNION (Y38A.) COLUMNS 1042 - 1043 NUMERIC MISSING 0 OR GE 99 Q.Y38a. Who is it that belongs? (CHECK ALL THAT APPLY) ------------------------------------------------------- 174 11. (A) RESPONDENT only 21 13. (C) R's WIFE only 57 14. (D) R's HUSBAND only 23 15. (E) SOMEONE ELSE in household only 12 20. (A,D) RESPONDENT and R's HUSBAND 7 21. (A,C) RESPONDENT and R's WIFE 6 22. (A,E) RESPONDENT and SOMEONE ELSE 23. (C,E) R's WIFE and SOMEONE ELSE 26. (D,E) R's HUSBAND and SOMEONE ELSE 31. (A,C,E) RESPONDENT, R's WIFE and SOMEONE ELSE 32. (A,D,E) RESPONDENT, R's HUSBAND and SOMEONE ELSE 99. NA 1495 00. Inap, 5, 8-9 in Q.Y38 N=301 MEAN=12.83586 ST.DEV=2.815179 MIN=11.00000 MAX=22.00000 ============================== VAR 941403 94PO: CKPT: FAM MEMBERS OVER 14 (Y39.) COLUMNS 1044 - 1044 NUMERIC NOMISSING DATA CODES Q.Y39. INTERVIEWER CHECKPOINT ------------------------------- 569 1. R ONLY FAMILY MEMBER AGE 14 OR OLDER (0 in Q.Y40) 1226 2. ALL OTHERS ============================== VAR 941404 94PO: FAMILY INCOME (Y40.) COLUMNS 1045 - 1046 NUMERIC MISSING 0 OR GE 88 Q.Y40. (RB, P. 23) Please look at this page and tell me the letter of the income group that includes the income of all members of your family living here in 1993 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. (IF UNCERTAIN: What would be your best guess?) ------------------------------------------------------------ For respondents who are the only family member age 14 or older, data from v1405 (Q.Y40) have been duplicated here. 50 01. A. NONE OR LESS THAN $2,999 35 02. B. $3,000-$4,999 45 03. C. $5,000-$6,999 46 04. D. $7,000-$8,999 36 05. E. $9,000-$9,999 36 06. F. $10,000-$10,999 40 07. G. $11,000-$11,999 38 08. H. $12,000-$12,999 20 09. J. $13,000-$13,999 19 10. K. $14,000-$14,999 57 11. M. $15,000-$16,999 65 12. N. $17,000-$19,999 62 13. P. $20,000-$21,999 97 14. Q. $22,000-$24,999 127 15. R. $25,000-$29,999 136 16. S. $30,000-$34,999 108 17. T. $35,000-$39,999 101 18. U. $40,000-$44,999 99 19. V. $45,000-$49,999 124 20. W. $50,000-$59,999 143 21. X. $60,000-$74,999 72 22. Z. $75,000-$89,999 23 23. AA. $90,000-$104,999 69 24. BB. $105,000 AND OVER 62 88. DK 84 98. R REFUSED TO ANSWER 3 99. NA N=1649 MEAN=14.70836 ST.DEV=6.201552 MIN=1.000000 MAX=24.00000 ============================== VAR 941405 94PO: R INCOME (Y40A/Y41.) COLUMNS 1047 - 1048 NUMERIC MISSING 0 OR GE 88 Q.Y40a. (RB, P. 24) Now we are interested in the income that you yourself received in 1993, not including any of the income received by (your spouse and) the rest of your family. Please look at this page and tell me the income you yourself had in 1993 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. (IF UNCERTAIN: What would be your best guess?) Q.Y41. (RB, STILL ON P. 23) Please look at page 24 of the booklet and tell me the letter of the income group that includes the income you had in 1993 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. ------------------------------------------------------------ 184 01. A. NONE OR LESS THAN $2,999 78 02. B. $3,000-$4,999 89 03. C. $5,000-$6,999 84 04. D. $7,000-$8,999 52 05. E. $9,000-$9,999 63 06. F. $10,000-$10,999 39 07. G. $11,000-$11,999 54 08. H. $12,000-$12,999 40 09. J. $13,000-$13,999 35 10. K. $14,000-$14,999 78 11. M. $15,000-$16,999 85 12. N. $17,000-$19,999 69 13. P. $20,000-$21,999 110 14. Q. $22,000-$24,999 138 15. R. $25,000-$29,999 109 16. S. $30,000-$34,999 85 17. T. $35,000-$39,999 67 18. U. $40,000-$44,999 51 19. V. $45,000-$49,999 58 20. W. $50,000-$59,999 45 21. X. $60,000-$74,999 22 22. Z. $75,000-$89,999 6 23. AA. $90,000-$104,999 22 24. BB. $105,000 AND OVER 36 88. DK 15 98. R REFUSED TO ANSWER 99. NA 84 00. INAP, 98 in Q.Y40 N=1664 MEAN=10.83319 ST.DEV=6.560102 MIN=1.000000 MAX=24.00000 ============================== VAR 941406 94PO: R BELONG TO SOCIAL CLASS (Y42.) COLUMNS 1049 - 1049 NUMERIC MISSING GE 8 Q.Y42. There's been some talk these days about different social classes. Most people say they belong either to the middle class or the working class. Do you ever think of yourself as belonging in one of these classes? ---------------------------------------------------------- 1288 1. YES 467 5. NO 31 8. DK 9 9. NA ============================== VAR 941407 94PO: R'S SOCIAL CLASS (Y42A/Y42B.) COLUMNS 1050 - 1050 NUMERIC MISSING 0 OR GE 8 Q.Y42a. Which one? (RECORD ONE) Q.Y42b. Well, if you had to make a choice, would you call yourself middle class or working class? ---------------------------------------------------------- 901 1. MIDDLE CLASS 834 2. WORKING CLASS 1 5. Lower class; poor 6. Upper class 30 7. OTHER (SPECIFY) 10 8. Refused to accept idea of classes 10 9. DK; NA 9 0. Inap, 9 in Q.Y42 N=1766 MEAN=1.575757 ST.DEV=0.870118 MIN=1.000000 MAX=7.000000 ============================== VAR 941408 94PO: 'AVERAGE' SOC CLASS (Y42C/Y42E.) COLUMNS 1051 - 1051 NUMERIC MISSING 0 OR GE 8 Q.Y42c. Would you say that you are about average middle class or that you are in the upper part of the middle class? Q.Y42e. Would you say that you are about average working class or that you are in the upper part of the working class? ------------------------------------------------------------ 678 1. AVERAGE WORKING 135 2. UPPER WORKING 674 4. AVERAGE MIDDLE 213 6. UPPER MIDDLE 10 8. DK 24 9. NA 61 0. Inap, 0,5-9 in Q.Y42a N=1700 MEAN=2.895771 ST.DEV=1.786571 MIN=1.000000 MAX=6.000000 ============================== VAR 941409 94PO: SOCIAL CLASS- SUMMARY (Y42X.) COLUMNS 1052 - 1052 NUMERIC MISSING GE 8 Q.Y42x. SUMMARY: R's Social Class ---------------------------------- BUILT AND DISPLAYED Built from Q.Y42a/b and Q.Y42c/e The numbers in parentheses refer to values in variables 1407 and 1408. 1 0. Lower class (50) 678 1. Average working (21) 21 2. Working--NA average or upper (28,29) 135 3. Upper working (22) 674 4. Average middle (14) 14 5. Middle class--NA average or upper (18,19) 213 6. Upper middle (16) 7. Upper class (60) 10 8. Refused to accept idea of class (80) 49 9. NA; DK; other (70,90,00) N=1736 MEAN=2.977615 ST.DEV=1.762728 MIN=0 MAX=6.000000 ============================== VAR 941410 94PO: CLOSE TO SOC CLASS (Y42D/Y42F.) COLUMNS 1053 - 1053 NUMERIC MISSING 0 OR GE 8 Q.Y42d. Would you say you feel pretty close to middle class people, or that you don't feel much closer to them than to people in other classes? Q.Y42f. Would you say you feel pretty close to working class people, or that you don't feel much closer to them than to people in other classes? ------------------------------------------------------------ 540 1. CLOSE to middle class 521 2. CLOSE to working class 347 4. NOT CLOSE to middle class 297 5. NOT CLOSE to working class 9 8. DK 20 9. NA 61 0. Inap, 0, 5-9 in Q.Y42a/b ============================== VAR 941411 94PO: CKPT: CROSS SECTION/PANEL (Y43.) COLUMNS 1054 - 1054 NUMERIC NOMISSING DATA CODES Q.Y43. INTERVIEWER CHECKPOINT ------------------------------- 1036 1. CROSS-SECTION (LILAC COVERSHEET) 759 2. PANEL (TAN COVERSHEET) ============================== VAR 941412 94PO: ETHNIC GROUP #1 (Y43A.) COLUMNS 1055 - 1056 NUMERIC MISSING 0, 96, OR GE 98 Q.Y43a(1). In addition to being American, what do you consider your main ethnic group or nationality group? <1st mention> ---------------------------------------------------------- If R gives 3 or more nationalities, code the first two listed, EXCEPT when the nationality given in Y43c is not one of the first two listed. THEN, code the nationality listed in Y43c as the 1st mention and the first nationality listed for Y43a as the 2nd mention. See NATIONALITY CODE, except: 97. Other 96. Inap, 2 in Q.Y43; no further mention 98. DK 99. NA 00. NONE; no further mention; "just American" N=809 MEAN=43.80222 ST.DEV=29.15833 MIN=1.000000 MAX=97.00000 ============================== VAR 941413 94PO: ETHNIC GROUP #2 (Y43A.) COLUMNS 1057 - 1058 NUMERIC MISSING 0, 96, OR GE 98 Q.Y43a(2). In addition to being American, what do you consider your main ethnic group or nationality group? <2nd mention> ---------------------------------------------------------- If R gives 3 or more nationalities, code the first two listed, EXCEPT when the nationality given in Y43c is not one of the first two listed. THEN, code the nationality listed in Y43c as the 1st mention and the first nationality listed for Y43a as the 2nd mention. See NATIONALITY CODE, except: 97. Other 96. Inap, 2 in Q.Y43; no further mention 98. DK 99. NA 00. NONE; no further mention; "just American" N=161 MEAN=26.78881 ST.DEV=16.90909 MIN=1.000000 MAX=93.00000 ============================== VAR 941414 94PO: NO. ETHNIC GROUPS GIVEN (Y43B.) COLUMNS 1059 - 1059 NUMERIC MISSING 0 Q.Y43b. INTERVIEWER CHECKPOINT ------------------------------- 648 1. ONE GROUP MENTIONED IN Y43a 161 5. MORE THAN ONE GROUP MENTIONED IN Y43 986 0. Inap, 2 in Q.Y43; 00, 98-99 in Q.Y43a ============================== VAR 941415 94PO: CLOSEST ETHNIC GROUP (Y43C.) COLUMNS 1060 - 1061 NUMERIC MISSING 0 OR GE 98 Q.Y43c. With which of these groups do you most closely identify? ------------------------------------------------------- For panel respondents the data from 1992 was copied here. For R's who mentioned only one group at Y43a, the data from V1412 was copied here. Use same code as Q.Y43a, except: 90. NONE, NEITHER 98. DK 99. NA 00. Inap, 2 in Q.Y43 and "just American", DK/NA, or none in 1992; 00, 98-99 in Q.Y43a N=903 MEAN=46.95670 ST.DEV=30.80860 MIN=1.000000 MAX=97.00000 ============================== VAR 941416 94PO: BOTH PARENTS BORN IN U.S. (Y44.) COLUMNS 1062 - 1062 NUMERIC MISSING 0 OR GE 8 Q.Y44. Were both your parents born in this country? ----------------------------------------------------- For panel respondents the data from 1992 was copied here. 1488 1. YES 292 5. NO 6 8. DK 8 9. NA 1 0. Inap, 2 in Q.Y43 and short form in 1992 ============================== VAR 941417 94PO: CKPT: R MENTION HISPANIC (Y45.) COLUMNS 1063 - 1063 NUMERIC MISSING 0 Q.Y45. INTERVIEWER CHECKPOINT ------------------------------- 82 1. SOME HISPANIC GROUP MENTIONED IN Y43a 954 2. NO HISPANIC GROUP MENTIONED IN Y43a 759 0. Inap, 2 in Q.Y43 ============================== VAR 941418 94PO: IS R HISPANIC (Y46.) COLUMNS 1064 - 1064 NUMERIC MISSING 0 OR GE 8 Q.Y46. Are you of Spanish or Hispanic origin or descent? ---------------------------------------------------------- 12 1. YES 930 5. NO 10 8. DK 2 9. NA 841 0. Inap, 2 in Q.Y43 ============================== VAR 941419 94PO: R TYPE HISPANIC (Y46A.) COLUMNS 1065 - 1065 NUMERIC MISSING 0 OR GE 8 Q.Y46a. (RB, P. 25) Please look at the booklet and tell me which category best describes your Hispanic origin. ------------------------------------------------------------ For panel respondents the data from 1992 was copied here. 65 1. MEXICAN 24 2. PUERTO RICAN 5 3. CUBAN 11 4. LATIN AMERICAN 9 5. CENTRAL AMERICAN 24 6. SPANISH 4 7. OTHER, SPECIFY 8. DK 4 9. NA 1649 0. Inap, 2 in Q.Y43 and short form in 1992; 5, 8-9 in Q.Y46 N=142 MEAN=2.746709 ST.DEV=2.071184 MIN=1.000000 MAX=7.000000 ============================== VAR 941420 94PO: PLACE R WAS BORN (Y47.) COLUMNS 1066 - 1068 NUMERIC MISSING 0 OR GE 998 Q.Y47. Where were you born? (IF UNITED STATES: Which state?) -------------------------------------------------------- For panel respondents the data from 1992 was copied here. Use STATE AND COUNTRY CODE, except: 998. DK 14 999. NA 1 000. Inap, 2 in Q.Y43 and short form in 1992 N=1780 MEAN=145.6870 ST.DEV=55.64663 MIN=101.0000 MAX=704.0000 ============================== VAR 941421 94PO: PLACE R GREW UP (Y48.) COLUMNS 1069 - 1071 NUMERIC MISSING 0 OR GE 998 Q.Y48. Where was it that you grew up? (IF UNITED STATES: Which state or states?) ----------------------------------------------------------- For panel respondents the data from 1992 was copied here. If R grew up in more than one state or country, code place where R lived longest, between ages 6 and 18. If NA where longest, use code which best reflects all mentioned places. Use STATE AND COUNTRY CODE, except: 1 998. DK 37 999. NA 1 000. Inap, 2 in Q.Y43 and short form in 1992 N=1756 MEAN=147.0809 ST.DEV=69.22833 MIN=101.0000 MAX=997.0000 ============================== VAR 941422 94PO: WHERE WAS R BROUGHT UP (Y49.) COLUMNS 1072 - 1072 NUMERIC MISSING 0 OR GE 9 Q.Y49. (RB, P. 26) Looking at this list, please tell me where you were mostly brought up? --------------------------------------------------------- For panel respondents the data from 1992 was copied here. 294 1. ON A FARM 229 2. IN THE COUNTRY, NOT ON A FARM 538 3. IN A SMALL CITY OR TOWN (UNDER 50,000 PEOPLE) 233 4. IN A MEDIUM-SIZED CITY (50,000 - 100,000) 194 5. IN A LARGE CITY (100,000 - 500,000) 136 6. IN A SUBURB OF A LARGE CITY 111 7. IN A VERY LARGE CITY (OVER 500,000) 37 8. IN A SUBURB OF A VERY LARGE CITY 21 9. NA 1 0. Inap, 2 in Q.Y43 and short form in 1992 N=1773 MEAN=3.474701 ST.DEV=1.831635 MIN=1.000000 MAX=8.000000 ============================== VAR 941423 94PO: HOW LONG IN COMMUNITY (Y50.) COLUMNS 1073 - 1074 NUMERIC MISSING GE 98 Q.Y50. How long have you lived in your present (CITY/TOWN/TOWNSHIP/COUNTY)? ------------------------------------------------ If R gives fraction of year, drop the fraction and code the actual number of years when greater than 2. * 13-23 months and 2 years were coded 2 in Y50. Y50a was asked only of R's who answered 13-23. Code actual number of years (01-89), except: 00. LESS THAN 6 MONTHS 01. 6-12 MONTHS 02. 13-24 MONTHS; 2 YEARS * 89. 89 OR MORE 90. ALL OF LIFE 98. DK 99. NA N=1793 MEAN=30.74706 ST.DEV=31.56162 MIN=0 MAX=90.00000 ============================== VAR 941424 94PO: R LAST COMMUNITY- CITY (Y50A.) COLUMNS 1075 - 1078 NUMERIC MISSING 0 OR GE 9998 Q.Y50a. Where did you live before you moved here? -------------------------------------------------- Use CITY CODE, except: 9996. FOREIGN COUNTRY given 9997. CITY not on list 9998. DK 9999. NA 0000. Inap, 03-90, 98-99 in Q.Y50; 2 in Y50 and more than 23 months ============================== VAR 941425 94PO: R LAST COMMUNITY-ST/CNTRY (Y50A.) COLUMNS 1079 - 1081 NUMERIC MISSING 0 OR GE 998 Q.Y50a. Where did you live before you moved here?--STATE OR COUNTRY ------------------------------------------------------------ This question was asked to Rs who had lived less than 2 years in the present city/town (Y50). Use STATE AND COUNTRY CODE, except: 998. DK 999. NA 000. Inap, 02-90, 98-99 in Q.Y50; 2 in Y50 and more than 23 months ============================== VAR 941426 94PO: HOW LONG LIVED IN RESIDNCE (Y51.) COLUMNS 1082 - 1083 NUMERIC MISSING GE 98 Q.Y51. How long have you lived in this (house/condo/apartment)? ---------------------------------------- If R gives fraction of year, drop the fraction and code the actual number of years when greater than 2. Code actual number of years (01-89), except: 00. LESS THAN SIX MONTHS 01. 6-12 MONTHS; 1 YEAR 02. 13-24 MONTHS; 2 YEARS 03. 3 YEARS . . 89. 89 OR MORE 90. ALL OF LIFE 98. DK 99. NA N=1789 MEAN=11.56133 ST.DEV=15.20054 MIN=0 MAX=90.00000 ============================== VAR 941427 94PO: R OWN/PAY RENT (Y52.) COLUMNS 1084 - 1084 NUMERIC MISSING GE 8 Q.Y52. (Do you/Does your family) own your home, pay rent, or what? ----------------------------------------------------------- If R states that this is only a seasonal home, or that his/her main residence is elsewhere, make a card with this information but code Y52 as written in interview. 1219 1. OWN 536 2. RENT 4 3. Occupancy part of financial arrangement with employer or owner 33 7. OTHER (SPECIFY) 8. DK 3 9. NA ============================== VAR 941428 94PO: R HAVE CHILDREN (Y53.) COLUMNS 1085 - 1085 NUMERIC MISSING GE 8 Q.Y53. These are our last few questions. Do you have any children? ----------------------------------------------------------- Include adopted and stepchildren. 1305 1. YES 8 2. YES, STEPCHILDREN/ADOPTED (VOLUNTEERED) 480 5. NO 8. DK 2 9. NA ============================== VAR 941429 94PO: NO. R'S CHILDREN UNDER 6 (Y53A.) COLUMNS 1086 - 1086 NUMERIC MISSING GE 9 Q.Y53a. How many children do you have who are less than 6 years old? ---------------------------------------------------------- Code actual NUMBER (0-6), except: 1453 0. NONE; Inap, 5, 8-9 in Q.Y53 243 1. One 78 2. Two 14 3. Three 2 4. Four 5. Five 6. Six 7. Seven or more 5 9. DK, NA ============================== VAR 941430 94PO: NO. CHILDREN <6 LIVG W/R (Y53B.) COLUMNS 1087 - 1087 NUMERIC MISSING GE 9 Q.53b. How many of them live with you at least half of the time? ----------------------------------------------------------- In a few cases, the number of children under 6 living with R exceeds the number of children R "has" who are under 6 years old (Q.Y53a). The discrepancy appears to stem from R having his/her "own" children in mind in Q.Y53a, but including step children, foster children and grand children being raised in R's household in their answer to Q.Y53b. Code actual NUMBER (0-6), except: 1485 0. NONE; Inap, 5, 8-9 in Q.Y53; 0, 9 in Q.Y53a 218 1. One 76 2. Two 11 3. Three 2 4. Four 5. Five 6. Six 7. Seven or more 4 9. DK, NA ============================== VAR 941431 94PO: NO. R'S CHILDREN 6-18 YRS (Y53C.) COLUMNS 1088 - 1088 NUMERIC MISSING GE 9 Q.Y53c. How many children do you have who are between 6 and 18 years old? ------------------------------------------------------------ Code actual NUMBER (0-6), except: 1249 0. NONE; Inap, 5, 8-9 in Q.Y53 252 1. One 183 2. Two 67 3. Three 21 4. Four 7 5. Five 6 6. Six 7. Seven or more 10 9. DK, NA ============================== VAR 941432 94PO: NO. CHILDRN 6-18 LIVG W/R (Y53D.) COLUMNS 1089 - 1089 NUMERIC MISSING GE 9 Q.53d. How many of them live with you at least half of the time? ----------------------------------------------------------- In a few cases, the number of children mentioned here exceeds that given at Q.Y53c. See note at Q.Y53c for explanation. Code actual NUMBER (0-6), except: 1317 0. NONE; Inap, 5, 8-9 in Q.Y53; 0 in Q.Y53c 229 1. One 164 2. Two 58 3. Three 18 4. Four 3 5. Five 2 6. Six 1 7. Seven or more 3 9. DK, NA ============================== VAR 941433 94PO: TIME ENDING (Y54.) COLUMNS 1090 - 1093 NUMERIC NOMISSING DATA CODES Q.Y54. EXACT TIME NOW: ------------------------ Code actual HOUR (01-24) and MINUTES (00-59) Convert PM times to 24 HOUR CLOCK N=1795 MEAN=1534.51 ST.DEV=392.8651 MIN=552.0000 MAX=9999.00 ============================== VAR 941434 94PO: R'S GENDER (Z1.) COLUMNS 1094 - 1094 NUMERIC MISSING GE 9 Q.Z1. Respondent's sex is: ----------------------------- 834 1. MALE 961 2. FEMALE 9. NA ============================== VAR 941435 94PO: R'S RACE (Z2.) COLUMNS 1095 - 1095 NUMERIC MISSING GE 9 Q.Z2. Respondent's race is: ------------------------------ 1516 1. WHITE 203 2. BLACK 16 3. AMERICAN INDIAN OR ALASKAN NATIVE 21 4. ASIAN OR PACIFIC ISLANDER 39 9. NA ============================== VAR 941436 94PO: OTHER PERSON AT INTERVIEW (Z3.) COLUMNS 1096 - 1097 NUMERIC MISSING GE 99 Q.Z3. Other persons present at interview were (CHECK MORE THAN ONE BOX IF NECESSARY): ------------------------------------------------------------ 1111 00. NONE (only box checked) 120 01. CHILDREN UNDER 6 ONLY 73 02. OLDER CHILDREN ONLY 24 03. Children under 6 and older children 159 04. SPOUSE ONLY 32 05. " and children under 6 40 06. " and older children 7 07. " and children under 6 and older children 41 08. OTHER RELATIVES ONLY 5 09. " " and children under 6 7 10. " " and older children 2 11. " " and children under 6 and older children 5 12. " " and spouse 5 13. " " and spouse and children under 6 2 14. " " and spouse and older children 3 15. " " and spouse and children under 6 and older children 87 16. OTHER ADULTS ONLY 15 17. " " and children under 6 8 18. " " and older children 4 19. " " and children under 6 and older children 2 20. " " and spouse 21. " " and spouse and children under 6 2 22. " " and spouse and older children 1 23. " " and spouse and children under 6 and older children 3 24. " " and other relatives 4 25. " " and other relatives and children under 6 2 26. " " and other relatives and older children 27. " " and other relatives and children under 6 and older children 1 28. " " and other relatives and spouse 29. " " and other relatives and spouse and children under 6 30. Other adults and other relatives and spouse and children under 6 and older children (all boxes checked in interview schedule) 28 99. NA ============================== VAR 941437 94PO: R'S LEVEL OF COOPERATION (Z4.) COLUMNS 1098 - 1098 NUMERIC MISSING GE 9 Q.Z4. Respondent's cooperation was: -------------------------------------- 1139 1. VERY GOOD 512 2. GOOD 112 3. FAIR 16 4. POOR 4 5. VERY POOR 12 9. NA ============================== VAR 941438 94PO: R'S LEVEL OF INFORMATION (Z5.) COLUMNS 1099 - 1099 NUMERIC MISSING GE 9 Q.Z5. Respondent's general level of information about politics and public affairs seemed: -------------------------------------------------------- 203 1. VERY HIGH 371 2. FAIRLY HIGH 691 3. AVERAGE 402 4. FAIRLY LOW 115 5. VERY LOW 14 9. NA ============================== VAR 941439 94PO: R'S APPARENT INTELLIGENCE (Z6.) COLUMNS 1100 - 1100 NUMERIC MISSING GE 9 Q.Z6. Rate R's apparent intelligence: ---------------------------------------- 189 1. VERY HIGH 628 2. ABOVE AVERAGE 864 3. AVERAGE 89 4. BELOW AVERAGE 12 5. VERY LOW 14 9. NA ============================== VAR 941440 94PO: R'S SUSPICIOUSNESS (Z7.) COLUMNS 1101 - 1101 NUMERIC MISSING GE 9 Q.Z7. How suspicious did R seem to be about the study, before the interview? -------------------------------------------------------- 1548 1. NOT AT ALL SUSPICIOUS 204 3. SOMEWHAT SUSPICIOUS 29 5. VERY SUSPICIOUS 14 9. NA ============================== VAR 941441 94PO: R'S INTEREST IN INTERVIEW (Z8.) COLUMNS 1102 - 1102 NUMERIC MISSING GE 9 Q.Z8. Overall, how great was R's interest in the interview? --------------------------------------------------- 359 1. VERY HIGH 545 2. ABOVE AVERAGE 679 3. AVERAGE 159 4. BELOW AVERAGE 43 5. VERY LOW 11 9. NA ============================== VAR 941442 94PO: R'S SINCERITY (Z9.) COLUMNS 1103 - 1103 NUMERIC MISSING GE 9 Q.Z9. How sincere did R seem to be in (his/her) answers? ----------------------------------------------------------- 1677 1. COMPLETELY SINCERE 93 2. USUALLY SINCERE 10 3. OFTEN SEEMED TO BE INSINCERE 15 9. NA ============================== VAR 941443 94PO: R REPORT INCOME CORRECTLY (Z11.) COLUMNS 1104 - 1104 NUMERIC MISSING GE 9 Q.Z11. Do you feel R reported income correctly? ------------------------------------------------- [Z10 NOT CODED] 1636 1. YES, THINK R REPORTED CORRECTLY 40 2. NO, THINK R REPORTED INCORRECTLY 95 3. R REFUSED INCOME QUESTIONS 4 5. NO, THINK R REPORTED DISHONESTLY 20 9. NA ============================== VAR 941444 94PO: ESTIMATE R FAMILY INCOME (Z11A.) COLUMNS 1105 - 1106 NUMERIC MISSING 0 OR GE 99 Q.Z11a. If possible, give a reasonable estimate of what R's family income is: ------------------------------------------------------------ 01. NONE OR LESS THAN $2,999 1 02. $3,000-$4,999 4 03. $5,000-$6,999 2 04. $7,000-$8,999 2 05. $9,000-$9,999 10 06. $10,000-$10,999 1 07. $11,000-$11,999 4 08. $12,000-$12,999 1 09. $13,000-$13,999 10. $14,000-$14,999 8 11. $15,000-$16,999 2 12. $17,000-$19,999 15 13. $20,000-$21,999 3 14. $22,000-$24,999 17 15. $25,000-$29,999 6 16. $30,000-$34,999 2 17. $35,000-$39,999 10 18. $40,000-$44,999 5 19. $45,000-$49,999 11 20. $50,000-$59,999 8 21. $60,000-$74,999 4 22. $75,000 -$89,999 23. $90,000-104,999 24. $105,000 AND OVER 10 98. IMPOSSIBLE TO ESTIMATE 14 99. NA 1655 00. Inap, 1, 9 in Q.Z11 ============================== VAR 941445 94PO: IW ENTIRELY IN ENGLISH (Z12.) COLUMNS 1107 - 1107 NUMERIC MISSING GE 9 Q.Z12. Was this interview conducted entirely in English, or was it necessary to translate some (or all) questions into another language? ---------------------------------------------------------- 1772 1. INTERVIEW CONDUCTED ENTIRELY IN ENGLISH 5 2. SOME (OR ALL) QUESTIONS TRANSLATED INTO ANOTHER LANGUAGE 18 9. NA (0 in Q.Z12a) ============================== VAR 941446 94PO: OTHER LANGUAGE USED (Z12A.) COLUMNS 1108 - 1108 NUMERIC MISSING 0 OR GE 9 Q.Z12a. What language? ----------------------- 5 1. Spanish 7. Other 9. NA 1790 0. Inap, 1, 9 in Q.Z12 ============================== VAR 941447 94PO: #1 REACTION TO INTERVIEW (Z13.) COLUMNS 1109 - 1110 NUMERIC MISSING 0 OR GE 98 Q.Z13(1). What was R's reaction to interview, after completion or expressed during interview? <1st coded reaction> ----------------------------------------------------- 32 10. NEGATIVE--GENERAL 103 11. NEGATIVE--TOO LONG 10 12. NEGATIVE--TOO COMPLICATED 18 13. NEGATIVE--BORING/TEDIOUS/REPETITIOUS 15 15. R WANTED TO STOP BEFORE INTERVIEW COMPLETED. AFTER STARTING THE INTERVIEW R MADE COMMENTS INDICATING SHE/HE REGRETS HAVING AGREED TO BE INTERVIEWED. 35 20. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS ILL/DEAF/TIRED/HAD BAD EYESIGHT, ETC.; INTERVIEW WAS OBVIOUSLY HARD FOR R. 35 22. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS CONFUSED BY QUESTIONS, "COULDN'T UNDERSTAND THE SCALES", R WAS SLOW READER OR NON-READER; INTERVIEW WAS OBVIOUSLY HARD FOR R. 92 30. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF KNOWLEDGE OR OWN SUITABILITY FOR INTERVIEW. 142 31. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF POLITICAL KNOWLEDGE: CANDIDATES: NAMES, ELECTION ISSUES; OR OWN LACK OF POLITICAL PARTICIPATION. 16 40. R WAS AGITATED OR STRESSED BY INTERVIEW PROCESS. 12 41. R BECAME ANGRY AT INTERVIEW CONTENT. 9 45. R BECAME CONCERNED ABOUT SAMPLING PURPOSES OR BIAS: "WHY DO YOU COME TO THE OLD FOLKS HOME?" "WHY THIS NEIGHBORHOOD?" "WHY/WHY NOT BLACKS/HISPANICS?" "WHY ME?", ETC. 5 50. R COULD NOT READ RESPONDENT BOOKLET. 973 70. R APPEARED TO ENJOY THE INTERVIEW (R WAS "COOPERATIVE"/"INTERESTED"/ "PLEASANT", ETC.) 258 80. NEUTRAL OR NO FEEDBACK 98. DK 40 99. NA 00. Inap, no further mention ============================== VAR 941448 94PO: #2 REACTION TO INTERVIEW (Z13.) COLUMNS 1111 - 1112 NUMERIC MISSING 0 OR GE 98 Q.Z13(2). What was R's reaction to interview, after completion or expressed during interview? <2nd coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR 941449 94PO: #3 REACTION TO INTERVIEW (Z13.) COLUMNS 1113 - 1114 NUMERIC MISSING 0 OR GE 98 Q.Z13(3). What was R's reaction to interview, after completion or expressed during interview? <3rd coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR 941450 94PO: #4 REACTION TO INTERVIEW (Z13.) COLUMNS 1115 - 1116 NUMERIC MISSING 0 OR GE 98 Q.Z13(4). What was R's reaction to interview, after completion or expressed during interview? <4th coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR 941451 94PO: #5 REACTION TO INTERVIEW (Z13.) COLUMNS 1117 - 1118 NUMERIC MISSING 0 OR GE 98 Q.Z13(5). What was R's reaction to interview, after completion or expressed during interview? <5th coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR 941452 94PO: #6 REACTION TO INTERVIEW (Z13.) COLUMNS 1119 - 1120 NUMERIC MISSING 0 OR GE 98 Q.Z13(6). What was R's reaction to interview, after completion or expressed during interview? <6th coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR 941453 94PO: #7 REACTION TO INTERVIEW (Z13.) COLUMNS 1121 - 1122 NUMERIC MISSING 0 OR GE 98 Q.Z13(7). What was R's reaction to interview, after completion or expressed during interview? <7th coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR 941454 94PO: #8 REACTION TO INTERVIEW (Z13.) COLUMNS 1123 - 1124 NUMERIC MISSING 0 OR GE 98 Q.Z13(8). What was R's reaction to interview, after completion or expressed during interview? <8th coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR 941455 94PO: #9 REACTION TO INTERVIEW (Z13.) COLUMNS 1125 - 1126 NUMERIC MISSING 0 OR GE 98 Q.Z13(9). What was R's reaction to interview, after completion or expressed during interview? <9th coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR 941456 94PO: #10 REACTION TO INTERVIEW (Z13.) COLUMNS 1127 - 1128 NUMERIC MISSING 0 OR GE 98 Q.Z13(10). What was R's reaction to interview, after completion or expressed during interview? <10th coded reaction> ------------------------------------------------------ See Q.Z13(1) for coding scheme. ============================== VAR 941457 94PO: #11 REACTION TO INTERVIEW (Z13.) COLUMNS 1129 - 1129 NUMERIC MISSING 0 OR GE 98 Q.Z13(11). What was R's reaction to interview, after completion or expressed during interview? <11th coded reaction> ------------------------------------------------------ See Q.Z13(1) for coding scheme. ============================== VAR 941458 94PO: #12 REACTION TO INTERVIEW (Z13.) COLUMNS 1130 - 1130 NUMERIC MISSING 0 OR GE 98 Q.Z13(12). What was R's reaction to interview, after completion or expressed during interview? <12th coded reaction> ------------------------------------------------------ See Q.Z13(1) for coding scheme. ============================== VAR 941501 94PO: V223 CLINTON FT PROBE (B11A.) COLUMNS 1131 - 1131 NUMERIC MISSING GE 9 Q.B11a. PROBE INDICATOR (for Q.B11a) ------------------------------------- USE SAME CODE FOR Q.B11b-B12u 1780 0. NOT PROBED 9 1. (RQ) Repeat question 3 2. (WT) What do you think? 1 3. (WC) Which is closer? 4. (WM) Whatever it means to you 1 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941502 94PO: V224 PEROT FT PROBE (B11B.) COLUMNS 1132 - 1132 NUMERIC MISSING GE 9 Q.B11b. PROBE INDICATOR (for Q.B11b) ------------------------------------- 1760 0. NOT PROBED 10 1. (RQ) Repeat question 3 2. (WT) What do you think? 2 3. (WC) Which is closer? 4. (WM) Whatever it means to you 21 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941503 94PO: V225 DOLE FT PROBE (B11C.) COLUMNS 1133 - 1133 NUMERIC MISSING GE 9 Q.B11c. PROBE INDICATOR (for Q.B11c) ------------------------------------- 1702 0. NOT PROBED 9 1. (RQ) Repeat question 4 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 79 5. Probe box checked 1 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941504 94PO: V226 QUAYLE FT PROBE (B11D.) COLUMNS 1134 - 1134 NUMERIC MISSING GE 9 Q.B11d. PROBE INDICATOR (for Q.B11d) ------------------------------------- 1767 0. NOT PROBED 7 1. (RQ) Repeat question 4 2. (WT) What do you think? 2 3. (WC) Which is closer? 4. (WM) Whatever it means to you 15 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941505 94PO: V227 GORE FT PROBE (B11E.) COLUMNS 1135 - 1135 NUMERIC MISSING GE 9 Q.B11e. PROBE INDICATOR (for Q.B11e) ------------------------------------- 1756 0. NOT PROBED 4 1. (RQ) Repeat question 3 2. (WT) What do you think? 3. (WC) Which is closer? 1 4. (WM) Whatever it means to you 31 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941506 94PO: V228 JACKSON FT PROBE (B11F.) COLUMNS 1136 - 1136 NUMERIC MISSING GE 9 Q.B11f. PROBE INDICATOR (for Q.B11f) ------------------------------------- 1776 0. NOT PROBED 5 1. (RQ) Repeat question 3 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 11 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941507 94PO: V229 HILLARY FT PROBE (B11G.) COLUMNS 1137 - 1137 NUMERIC MISSING GE 9 Q.B11g. PROBE INDICATOR (for Q.B11g) ------------------------------------- 1774 0. NOT PROBED 6 1. (RQ) Repeat question 4 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 10 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941508 94PO: V230 C POWELL FT PROBE (B11H.) COLUMNS 1138 - 1138 NUMERIC MISSING GE 9 Q.B11h. PROBE INDICATOR (for Q.B11h) ------------------------------------- 1696 0. NOT PROBED 9 1. (RQ) Repeat question 3 2. (WT) What do you think? 1 3. (WC) Which is closer? 1 4. (WM) Whatever it means to you 85 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941509 94PO: V231 SEN DEM FT PROBE (B11K.) COLUMNS 1139 - 1139 NUMERIC MISSING GE 9 Q.B11k. PROBE INDICATOR (for Q.B11k) ------------------------------------- 1376 0. NOT PROBED 1 1. (RQ) Repeat question 6 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 42 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 370 9. INAP, 81, 82, 85 in V18 ============================== VAR 941510 94PO: V232 SEN REP FT PROBE (B11M.) COLUMNS 1140 - 1140 NUMERIC MISSING GE 9 Q.B11m. PROBE INDICATOR (for Q.B11m) ------------------------------------- 1375 0. NOT PROBED 2 1. (RQ) Repeat question 5 2. (WT) What do you think? 3. (WC) Which is closer? 2 4. (WM) Whatever it means to you 41 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 370 9. INAP, 81, 82, 85, 99 in V18 ============================== VAR 941511 94PO: V233 TN SEN DEM FT PROBE (B11N.) COLUMNS 1141 - 1141 NUMERIC MISSING GE 9 Q.B11n. PROBE INDICATOR (for Q.B11n) ------------------------------------- 50 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 1745 9. INAP, 01-53, 55-82, in V13 ============================== VAR 941512 94PO: V234 TN SEN REP FT PROBE (B11P.) COLUMNS 1142 - 1142 NUMERIC MISSING GE 9 Q.B11p. PROBE INDICATOR (for Q.B11p) ------------------------------------- 49 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 1 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 1745 9. INAP, 01-53, 55-82 in V13 ============================== VAR 941513 94PO: V235 SEN TNU FT PROBE (B11Q.) COLUMNS 1143 - 1143 NUMERIC MISSING GE 9 Q.B11q. PROBE INDICATOR (for Q.B11q) ------------------------------------- 1333 0. NOT PROBED 1 1. (RQ) Repeat question 2 2. (WT) What do you think? 1 3. (WC) Which is closer? 4. (WM) Whatever it means to you 37 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 420 9. INAP, 81, 82, 85, 95 in V18 ============================== VAR 941514 94PO: V236 SENTR 1 FT PROBE (B11R.) COLUMNS 1144 - 1144 NUMERIC MISSING GE 9 Q.B11r. PROBE INDICATOR (for Q.B11r) ------------------------------------- 355 0. NOT PROBED 3 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 11 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 1425 9. INAP, 12, 21, 55, 65, 95 in V18 ============================== VAR 941515 94PO: V237 SENTR 2 FT PROBE (B11S.) COLUMNS 1145 - 1145 NUMERIC MISSING GE 9 Q.B11s. PROBE INDICATOR (for Q.B11s) ------------------------------------- 358 0. NOT PROBED 2 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 10 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 1425 9. INAP, 12, 21, 55, 65, 95 in V18 ============================== VAR 941516 94PO: V238 HSE DEM FT PROBE (B11T.) COLUMNS 1146 - 1146 NUMERIC MISSING GE 9 Q.B11t. PROBE INDICATOR (for Q.B11t) ------------------------------------- 1572 0. NOT PROBED 3 1. (RQ) Repeat question 5 2. (WT) What do you think? 3. (WC) Which is closer? 2 4. (WM) Whatever it means to you 91 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 1 7. Other probe; type of probe unclear 121 9. INAP, 24 in V17 ============================== VAR 941517 94PO: V239 HSE REP FT PROBE (B11U.) COLUMNS 1147 - 1147 NUMERIC MISSING GE 9 Q.B11u. PROBE INDICATOR (for Q.B11u) ------------------------------------- 1617 0. NOT PROBED 5 1. (RQ) Repeat question 11 2. (WT) What do you think? 3. (WC) Which is closer? 2 4. (WM) Whatever it means to you 111 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 48 9. INAP, 14 in V17 ============================== VAR 941518 94PO: V301 DEM PTY FT PROBE (B12A.) COLUMNS 1148 - 1148 NUMERIC MISSING GE 9 Q.B12a. PROBE INDICATOR (for Q.B12a) ------------------------------------- 1781 0. NOT PROBED 7 1. (RQ) Repeat question 3 2. (WT) What do you think? 2 3. (WC) Which is closer? 2 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941519 94PO: V302 REP PTY FT PROBE (B12B.) COLUMNS 1149 - 1149 NUMERIC MISSING GE 9 Q.B12b. PROBE INDICATOR (for Q.B12b) ------------------------------------- 1782 0. NOT PROBED 2 1. (RQ) Repeat question 10 2. (WT) What do you think? 1 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941520 94PO: V303 POL PTIES FT PROBE (B12C.) COLUMNS 1150 - 1150 NUMERIC MISSING GE 9 Q.B12c. PROBE INDICATOR (for Q.B12c) ------------------------------------- 1745 0. NOT PROBED 21 1. (RQ) Repeat question 20 2. (WT) What do you think? 1 3. (WC) Which is closer? 4 4. (WM) Whatever it means to you 1 5. Probe box checked 3 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941521 94PO: V304 HISPANICS FT PROBE (B12D.) COLUMNS 1151 - 1151 NUMERIC MISSING GE 9 Q.B12d. PROBE INDICATOR (for Q.B12d) ------------------------------------- 1670 0. NOT PROBED 45 1. (RQ) Repeat question 23 2. (WT) What do you think? 2 3. (WC) Which is closer? 43 4. (WM) Whatever it means to you 1 5. Probe box checked 9 6. RQ and WT; RQ and WM; RQ and WC 2 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941522 94PO: V305 BLACKS FT PROBE (B12E.) COLUMNS 1152 - 1152 NUMERIC MISSING GE 9 Q.B12e. PROBE INDICATOR (for Q.B12e) ------------------------------------- 1762 0. NOT PROBED 15 1. (RQ) Repeat question 8 2. (WT) What do you think? 3 3. (WC) Which is closer? 5 4. (WM) Whatever it means to you 1 5. Probe box checked 2 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941523 94PO: V306 CONSERVATVS FT PROBE (B12F.) COLUMNS 1153 - 1153 NUMERIC MISSING GE 9 Q.B12f. PROBE INDICATOR (for Q.B12f) ------------------------------------- 1716 0. NOT PROBED 17 1. (RQ) Repeat question 25 2. (WT) What do you think? 1 3. (WC) Which is closer? 33 4. (WM) Whatever it means to you 1 5. Probe box checked 2 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941524 94PO: V307 LABR UNIONS FT PROBE (B12G.) COLUMNS 1154 - 1154 NUMERIC MISSING GE 9 Q.B12g. PROBE INDICATOR (for Q.B12g) ------------------------------------- 1768 0. NOT PROBED 10 1. (RQ) Repeat question 14 2. (WT) What do you think? 1 3. (WC) Which is closer? 1 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 1 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941525 94PO: V308 WOMN MOVEMT FT PROBE (B12H.) COLUMNS 1155 - 1155 NUMERIC MISSING GE 9 Q.B12h. PROBE INDICATOR (for Q.B12h) ------------------------------------- 1765 0. NOT PROBED 11 1. (RQ) Repeat question 8 2. (WT) What do you think? 2 3. (WC) Which is closer? 6 4. (WM) Whatever it means to you 5. Probe box checked 2 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941526 94PO: V309 WELFARE FT PROBE (B12J.) COLUMNS 1156 - 1156 NUMERIC MISSING GE 9 Q.B12j. PROBE INDICATOR (for Q.B12j) ------------------------------------- 1721 0. NOT PROBED 39 1. (RQ) Repeat question 23 2. (WT) What do you think? 1 3. (WC) Which is closer? 5 4. (WM) Whatever it means to you 1 5. Probe box checked 6 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941527 94PO: V310 ENVIRMNTLST FT PROBE (B12K.) COLUMNS 1157 - 1157 NUMERIC MISSING GE 9 Q.B12k. PROBE INDICATOR (for Q.B12k) ------------------------------------- 1770 0. NOT PROBED 12 1. (RQ) Repeat question 10 2. (WT) What do you think? 3. (WC) Which is closer? 3 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941528 94PO: V311 LIBERALS FT PROBE (B12M.) COLUMNS 1158 - 1158 NUMERIC MISSING GE 9 Q.B12m. PROBE INDICATOR (for Q.B12m) ------------------------------------- 1733 0. NOT PROBED 8 1. (RQ) Repeat question 22 2. (WT) What do you think? 1 3. (WC) Which is closer? 30 4. (WM) Whatever it means to you 5. Probe box checked 1 6. RQ and WT; RQ and WM; RQ and WC 1 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941529 94PO: V312 POOR PEOPLE FT PROBE (B12N.) COLUMNS 1159 - 1159 NUMERIC MISSING GE 9 Q.B12n. PROBE INDICATOR (for Q.B12n) ------------------------------------- 1717 0. NOT PROBED 31 1. (RQ) Repeat question 15 2. (WT) What do you think? 3 3. (WC) Which is closer? 27 4. (WM) Whatever it means to you 1 5. Probe box checked 2 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941530 94PO: V313 WHITES FT PROBE (B12O.) COLUMNS 1160 - 1160 NUMERIC MISSING GE 9 Q.B12o. PROBE INDICATOR (for Q.B12o) ------------------------------------- 1765 0. NOT PROBED 16 1. (RQ) Repeat question 8 2. (WT) What do you think? 3 3. (WC) Which is closer? 1 4. (WM) Whatever it means to you 1 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 1 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941531 94PO: V314 BIG BUSNESS FT PROBE (B12P.) COLUMNS 1161 - 1161 NUMERIC MISSING GE 9 Q.B12p. PROBE INDICATOR (for Q.B12p) ------------------------------------- 1763 0. NOT PROBED 13 1. (RQ) Repeat question 13 2. (WT) What do you think? 3. (WC) Which is closer? 4 4. (WM) Whatever it means to you 5. Probe box checked 1 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941532 94PO: V315 XTIAN FUND FT PROBE (B12Q.) COLUMNS 1162 - 1162 NUMERIC MISSING GE 9 Q.B12q. PROBE INDICATOR (for Q.B12q) ------------------------------------- 1718 0. NOT PROBED 8 1. (RQ) Repeat question 30 2. (WT) What do you think? 3. (WC) Which is closer? 39 4. (WM) Whatever it means to you 5. Probe box checked 1 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941533 94PO: V316 ELDERLY FT PROBE (B12R.) COLUMNS 1163 - 1163 NUMERIC MISSING GE 9 Q.B12r. PROBE INDICATOR (for Q.B12r) ------------------------------------- 1783 0. NOT PROBED 6 1. (RQ) Repeat question 3 2. (WT) What do you think? 3. (WC) Which is closer? 3 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941534 94PO: V317 ILLEG IMMIG FT PROBE (B12S.) COLUMNS 1164 - 1164 NUMERIC MISSING GE 9 Q.B12s. PROBE INDICATOR (for Q.B12s) ------------------------------------- 1773 0. NOT PROBED 15 1. (RQ) Repeat question 4 2. (WT) What do you think? 3. (WC) Which is closer? 1 4. (WM) Whatever it means to you 1 5. Probe box checked 1 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941535 94PO: V318 GAYS/LESBNS FT PROBE (B12T.) COLUMNS 1165 - 1165 NUMERIC MISSING GE 9 Q.B12t. PROBE INDICATOR (for Q.B12t) ------------------------------------- 1770 0. NOT PROBED 9 1. (RQ) Repeat question 11 2. (WT) What do you think? 3 3. (WC) Which is closer? 2 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 941536 94PO: V319 WEALTHY FT PROBE (B12U.) COLUMNS 1166 - 1166 NUMERIC MISSING GE 9 Q.B12u. PROBE INDICATOR (for Q.B12u) ------------------------------------- 1768 0. NOT PROBED 11 1. (RQ) Repeat question 12 2. (WT) What do you think? 3. (WC) Which is closer? 1 4. (WM) Whatever it means to you 1 5. Probe box checked 1 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR 923004 92PRE:92PRE CASE ID COLUMNS 1167 - 1170 NUMERIC NOMISSING DATA CODES 1992 PRE-ELECTION STUDY CASE ID OF RESPONDENT About 42% of the 1994 Election Study respondents were initially interviewed in the 1992 Election Study and therefore are panel respondents. Please see introduction for further details of the 1994 Study Design. --------------------------------------------------------- 0001-1124. Panel respondent 9999. INAP, 1994 cross section ============================== VAR 923005 92PRE:PANEL/CROSS INDICATOR COLUMNS 1171 - 1171 NUMERIC NOMISSING DATA CODES 1994 PANEL OR CROSS-SECTION INDICATOR ------------------------------------- 759 2. 1992 cross section/1994 panel respondent. 1036 0. INAP, 1994 cross section ============================== VAR 923006 92PRE:90POST CASE ID COLUMNS 1172 - 1172 NUMERIC MISSING 0 1990 POST ELECTION STUDY CASE ID -------------------------------- 0000. INAP, no 1990 cross section/1992 panel cases in 1994 study; 1994 cross section ============================== VAR 923007 92PRE:1991 PANEL STATUS COLUMNS 1173 - 1173 NUMERIC MISSING 0 PANEL RESPONDENT'S STATUS FOR THE 1991 PANEL/PILOT STUDY -------------------------------------------------------- 1795 0. INAP, no 1991 Pilot cases in 1994 study; 1994 cross section ============================== VAR 923008 92PRE:WEIGHT=PANEL/CROSS COLUMNS 1174 - 1174 NUMERIC NOMISSING DATA CODES 92 FULL SAMPLE WEIGHT --------------------- This variable has been blanked out. See V4 for full sample in 1994. ============================== VAR 923009 92PRE:WEIGHT-PANEL ONLY COLUMNS 1175 - 1175 NUMERIC NOMISSING DATA CODES 92 PANEL ONLY WEIGHT -------------------- 0. INAP, No 1992 panel; 1994 cross section ============================== VAR 923010 92PRE:PRE ONLY OR PRE AND POST COLUMNS 1176 - 1176 NUMERIC NOMISSING DATA CODES PRE-POST INDICATOR: 1992 ELECTION STUDY --------------------------------------- 759 1. R gave both a Pre and Post-election interview 1036 9. INAP, 1994 cross section ============================== VAR 923011 92PRE:FORM TYPE COLUMNS 1177 - 1177 NUMERIC MISSING 0 PRE-ELECTION FORM-SAMPLE INDICATOR ---------------------------------- There were two forms for both the pre-election and post- election questionnaires. One, the "long questionnaire" was the standard form designed to be used for all face-to-face interviews. The other, the "short questionnaire" was a truncated version of the questionnaire which was designed solely to interview over the phone panel respondents from AMERICAN NATIONAL ELECTION STUDY, 1992: PRE- AND POST- ELECTION SURVEY [ENHANCED WITH 1990 AND 1991 DATA] (ICPSR 6067) who since 1990 had moved to areas where SRC no longer had interviewers. The short version of the instrument should not have been used with 1992 cross-section cases (1994 panel cases); however, 1 case was administered using this short questionnaire in error (code 4). These problems of administration are described in the introduction and in Technical Report #43, available from NES Project Staff. The Spanish Language short questionnaire was administered to panel respondents who were unable to be interviewed in English. 757 2. Long questionnaire: 1992 cross section/1994 panel 1 4. Short questionnaire: 1992 cross section/1994 panel (used in error) 1 7. 1992 cross section/1994 panel Spanish Language short questionnaire 1036 0. INAP, 1994 cross section ============================== VAR 923012 92PRE:3-DIGIT PRIMARY AREA COLUMNS 1178 - 1180 NUMERIC MISSING 0 PRIMARY AREA CODE (3 digits) ---------------------------- This is a 3-digit variable. The first digit indicates that the sample point comes from the 1992 panel. The last 2 digits denote the primary area. For information on sample design please see: "Sample Design of the 1992 Pre- and Post-Election Study" in the Appendix of this documentation. PRIMARY AREAS in alphabetic order: SEE APPENDIX NOTE 1992 256 ANAHEIM, CA 277 ASHLEY, AR 216 ATLANTA, GA 223 ATLANTIC CITY, NJ 278 BEDFORD, TN 236 BIRMINGHAM, AL 217 BUFFALO, NY 273 BULLOCH, GA 284 CARBON, WY 203 CHICAGO, IL 239 COLUMBUS, GA 208 DALLAS/FT WORTH, TX 227 DAYTON, OH 266 DECATUR, IN 255 DENVER, CO 229 DES MOINES, IA 205 DETROIT, MI 282 ELDORADO, CA 259 EUGENE, OR 232 FORT WAYNE, IN 258 FRESNO, CA 264 GARDNER, MA 231 GRAND RAPIDS, MI 276 HALE, TX 242 JACKSONVILLE, FL 228 KANSAS CITY, MO 249 KNOXVILLE, TN 243 LAKELAND, FL 211 LONG ISLAND, NY 202 LOS ANGELES, CA 224 MANCHESTER, NH 244 McALLEN, TX 240 MIAMI, FL 226 MILWAUKEE, WI 215 MINNEAPOLIS, MN 280 MONTGOMERY, VA 270 MOWER, MN 221 NEW HAVEN, CT 201 NEW YORK, NY 218 NEWARK, NJ 204 PHILADELPHIA, PA 260 PHOENIX, AZ 250 RICHMOND, VA 257 RIVERSIDE, CA 281 ROBESON, NC 274 SABINE, LA 234 SAGINAW, MI 268 SALINE, NE 206 SAN FRANCISCO, CA 265 SANILAC, MI 263 SCHUYLER, NY 253 SEATTLE, WA 233 STEUBENVILLE, OH 245 WACO, TX 207 WASHINGTON, DC 247 WHEELING, WV The PRIMARY AREA CODE sorted by code number: 20 201. NEW YORK, NY 7 202. LOS ANGELES, CA 26 203. CHICAGO, IL 17 204. PHILADELPHIA, PA 16 205. DETROIT, MI 7 206. SAN FRANCISCO,CA 34 207. WASHINGTON, DC 21 208. DALLAS/FTWRTH, TX 13 211. LONG ISLAND, NY 26 215. MINNEAPOLIS, MN 17 216. ATLANTA, GA 5 217. BUFFALO, NY 26 218. NEWARK, NJ 6 221. NEW HAVEN, CT 4 223. ATLANTIC CITY, NJ 5 224. MANCHESTER, NH 7 226. MILWAUKEE, WI 5 227. DAYTON, OH 30 228. KANSAS CITY, MO 4 229. DES MOINES, IA 11 231. GRAND RAPIDS, MI 4 232. FORT WAYNE, IN 6 233. STEUBENVILLE, OH 19 234. SAGINAW, MI 5 236. BIRMINGHAM, AL 8 239. COLUMBUS, GA 240. MIAMI, FL 23 242. JACKSONVILLE, FL 12 243. LAKELAND, FL 7 244. McALLEN, TX 27 245. WACO, TX 4 247. WHEELING, WV 6 249. KNOXVILLE, TN 11 250. RICHMOND, VA 6 253. SEATTLE, WA 10 255. DENVER, CO 4 256. ANAHEIM, CA 27 257. RIVERSIDE, CA 12 258. FRESNO, CA 9 259. EUGENE, OR 50 260. PHOENIX, AZ 5 263. SCHUYLER, NY 23 264. GARDNER, MA 7 265. SANILAC, MI 36 266. DECATUR, IN 11 268. SALINE, NE 10 270. MOWER, MN 23 273. BULLOCH, GA 23 274. SABINE, LA 3 276. HALE, TX 6 277. ASHLEY, AR 6 278. BEDFORD, TN 31 280. MONTGOMERY, VA 9 281. ROBESON, NC 7 282. ELDORADO, CA 3 284. CARBON, WY 1036 000. INAP, 1994 cross section ============================== VAR 923013 92PRE:PRIMARY AREA NAME ALPHANUMERIC COLUMNS 1181 - 1201 CHARACTER NOMISSING DATA CODES PRIMARY AREA NAME ----------------- This is an alphabetical variable. ============================== VAR 923014 92PRE:CENSUS REGION COLUMNS 1202 - 1202 NUMERIC MISSING 0 CENSUS REGION ------------- This variable identifies the four major geographic regions on which the sample was stratified for the purpose of sample selection. (See Sampling Information in the Appendix.) 123 1. Northeast (Connecticut, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania) 218 2. North Central (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, Ohio, Wisconsin) 276 3. South (Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Louisianna, Maryland, North Carolina, Tennessee, Texas, Virginia, West Virginia) 142 4. West (Arizona, California, Colorado, Oregon, Washington, Wyoming) 1036 0. INAP, 1994 cross section ============================== VAR 923015 92PRE:STATE ABBREVIATION ALPHANUMERIC COLUMNS 1203 - 1204 CHARACTER NOMISSING DATA CODES STATE ABBREVIATION ------------------ 2-digit postal abbreviation of state of sample location. ============================== VAR 923016 92PRE:ICPSR STATE/92CD COLUMNS 1205 - 1208 NUMERIC MISSING 0 ICPSR STATE AND 1992 CONGRESSIONAL DISTRICT ------------------------------------------- IN ALPHABETIC ORDER OF STATE ABBREVIATION AND CD. The codes which follow are what appears in the dataset, not the alpha state code. The ICPSR state and congressional district where R voted (if different from the state and CD of sample address) was recorded in V5001. 4103. AL03 4104. AL04 3 4106. AL06 2 4107. AL07 4201. AR01 6 4204. AR04 16 6101. AZ01 8 6102. AZ02 3 6103. AZ03 7 6104. AZ04 18 6106. AZ06 7 7104. CA04 7106. CA06 7107. CA07 1 7108. CA08 2 7109. CA09 2 7110. CA10 1 7112. CA12 1 7113. CA13 12 7119. CA19 7124. CA24 7126. CA26 7127. CA27 1 7128. CA28 5 7129. CA29 7131. CA31 7132. CA32 7133. CA33 7134. CA34 7135. CA35 7136. CA36 1 7138. CA38 4 7139. CA39 6 7140. CA40 7141. CA41 6 7142. CA42 7143. CA43 14 7144. CA44 7145. CA45 7146. CA46 7147. CA47 7148. CA48 5 6201. CO01 6 6202. CO02 6206. CO06 6 0103. CT03 4 4303. FL03 5 4304. FL04 14 4306. FL06 12 4312. FL12 4317. FL17 4318. FL18 4320. FL20 4321. FL21 4322. FL22 23 4401. GA01 8 4402. GA02 4403. GA03 8 4404. GA04 5 4405. GA05 4 4407. GA07 4 3103. IA03 3104. IA04 2101. IL01 5 2102. IL02 6 2103. IL03 3 2105. IL05 5 2106. IL06 2107. IL07 4 2109. IL09 3 2110. IL10 2111. IL11 2112. IL12 2113. IL13 2114. IL14 36 2202. IN02 4 2204. IN04 3201. KS01 15 3203. KS03 23 4506. LA06 20 0301. MA01 3 0302. MA02 0306. MA06 0307. MA07 0308. MA08 0309. MA09 5202. MD02 5203. MD03 5 5204. MD04 5205. MD05 5206. MD06 5207. MD07 12 5208. MD08 5 2302. MI02 6 2303. MI03 7 2304. MI04 19 2305. MI05 6 2309. MI09 3 2310. MI10 2 2311. MI11 2 2315. MI15 3 2316. MI16 10 3301. MN01 7 3302. MN02 6 3304. MN04 14 3306. MN06 3401. MO01 3402. MO02 3403. MO03 13 3405. MO05 2 3406. MO06 9 4707. NC07 4708. NC08 11 3501. NE01 5 0401. NH01 2 1201. NJ01 4 1202. NJ02 2 1205. NJ05 9 1207. NJ07 12 1210. NJ10 5 1211. NJ11 8 1302. NY02 1 1303. NY03 4 1304. NY04 1305. NY05 4 1306. NY06 3 1307. NY07 1308. NY08 1309. NY09 4 1310. NY10 1311. NY11 1314. NY14 1316. NY16 2 1317. NY17 6 1319. NY19 1320. NY20 3 1327. NY27 2 1329. NY29 1330. NY30 5 1331. NY31 5 2403. OH03 2407. OH07 2408. OH08 5 2418. OH18 9 7204. OR04 7 1401. PA01 3 1402. PA02 1407. PA07 3 1408. PA08 2 1413. PA13 1414. PA14 1418. PA18 1420. PA20 6 5402. TN02 5403. TN03 6 5404. TN04 8 4903. TX03 5 4906. TX06 27 4911. TX11 3 4913. TX13 7 4915. TX15 4918. TX18 4925. TX25 5 4926. TX26 4929. TX29 3 4930. TX30 4 4003. VA03 4004. VA04 7 4007. VA07 13 4008. VA08 31 4009. VA09 4 4010. VA10 7301. WA01 5 7302. WA02 7307. WA07 1 7308. WA08 7 2504. WI04 2505. WI05 2509. WI09 5 5601. WV01 3 6898. WY98 1036 0000. INAP, 1994 cross section ============================== VAR 923017 92PRE:ICPSR STATE COLUMNS 1209 - 1210 NUMERIC MISSING 0 OR GE 99 ICPSR STATE CODE ---------------- New England 6 01. Connecticut 02. Maine 23 03. Massachusetts 5 04. New Hampshire 05. Rhode Island 06. Vermont Middle Atlantic 11. Delaware 34 12. New Jersey 41 13. New York 15 14. Pennsylvania East North Central 26 21. Illinois 40 22. Indiana 53 23. Michigan 10 24. Ohio 7 25. Wisconsin West North Central 4 31. Iowa 15 32. Kansas 37 33. Minnesota 15 34. Missouri 11 35. Nebraska 36. North Dakota 37. South Dakota Solid South 58 40. Virginia 5 41. Alabama 6 42. Arkansas 35 43. Florida 48 44. Georgia 23 45. Louisiana 46. Mississippi 9 47. North Carolina 48. South Carolina 58 49. Texas Border States 51. Kentucky 17 52. Maryland 53. Oklahoma 11 54. Tennessee 55. Washington, D.C. 5 56. West Virginia Mountain States 50 61. Arizona 10 62. Colorado 63. Idaho 64. Montana 65. Nevada 66. New Mexico 67. Utah 3 68. Wyoming Pacific States 63 71. California 9 72. Oregon 6 73. Washington External States 81. Alaska 82. Hawaii 99. NA 1036 00. INAP, 1994 cross section ============================== VAR 923018 92PRE:FIPS STATE COLUMNS 1211 - 1212 NUMERIC MISSING 0 FIPS STATE CODE --------------- States present in the 1992 sample have asterisks (*). 5 01. Alabama * 02. Alaska 50 04. Arizona * 6 05. Arkansas * 63 06. California * 10 08. Colorado * 6 09. Connecticut * 10. Delaware 11. Washington D.C. 35 12. Florida * 48 13. Georgia * 15. Delaware 16. Idaho 26 17. Illinois * 40 18. Indiana * 4 19. Iowa * 15 20. Kansas * 21. Kentucky 23 22. Louisiana * 23. Maine 17 24. Maryland* 23 25. Massachusetts * 53 26. Michigan * 37 27. Minesota * 28. Mississippi 15 29. Missouri * 30. Montana 11 31. Nebraska * 32. Nevada 5 33. New Hampshire * 34 34. New Jersey * 35. New Mexico 41 36. New York * 9 37. North Carolina * 38. North Dakota 10 39. Ohio * 40. Oklahoma 9 41. Oregon * 15 42. Pennsylvania * 44. Rhode Island 45. South Carolina 46. South Dakota 11 47. Tennessee * 58 48. Texas * 49. Utah 50. Vermont 58 51. Virginia * 6 53. Washington * 5 54. West Virginia * 7 55. Wisconsin * 3 56. Wyoming * 1036 00. INAP, 1994 cross section ============================== VAR 923019 92PRE:1992 CONG DISTRICT COLUMNS 1213 - 1214 NUMERIC MISSING 0 1992 CONGRESSIONAL DISTRICT NUMBER (2 digits) --------------------------------------------- This is a two-digit variable which, when combined with either the FIPS State Code (v3018) or the ICPSR State Code (v3017), gives the congressional district for the sample location in which the R resided at the time of our initial interview with him/her in 1992 (for 1994 panel respondents). This variable reflects the redistricting based on the 1990 Census, in effect for the 1992 General Election. Variable 5001 records the ICPSR state and district where R voted if different from the congressional district of their sample address. Actual values are coded, as documented in v3016, except: 98. At-large 00. INAP, 1994 cross section ============================== VAR 923020 92PRE:1990 CONG DISTRICT COLUMNS 1215 - 1216 NUMERIC MISSING 0 1990 CONGRESSIONAL DISTRICT NUMBER ---------------------------------- For panel respondents, this variable identifies the congressional district number for the sample location in which R resides, as it was prior to the 1990 Census-based redistricting. Actual values are coded, as documented in v3016, except: 98. At-large 00. INAP, 1994 cross section ============================== VAR 923021 92PRE:TYPE RACE HOUSE COLUMNS 1217 - 1218 NUMERIC MISSING 0 TYPE OF RACE: HOUSE OF REPRESENTATIVES --------------------------------------- The term incumbent as used in an election held just after redistricting requires some definition. An incumbent, as we use the term here and throughout the study, is a person who was in the 102nd Congress, just preceding this election. The incumbent may or may not have represented the particular piece of geography which is the sample segment in which the R was interviewed. That is, the incumbent may or may not have been R's representative in the preceding Congress. All incumbent related variables in the study should be used with this caution in mind. See also V7000. Listed here are the House races present in the 1992 sample. SEE APPENDIX NOTE INCUMBENT CANDIDATE(S) 366 12. Democratic incumbent running -- Republican challenger 9 14. " " " -- Unopposed 179 21. Republican incumbent running -- Democratic challenger 14 24. " " " -- Unopposed 23 45. Two Republican incumbents running (LA06) The November 3rd election for the House of Representatives in Louisiana is really a primary run-off for the state. Congressional district 06 (LA06), a "new district," fielded candidates Richard H. Baker and Clyde C. Holloway, both of whom are Republicans and incumbents from old districts. In other circumstances, both would have been assigned #34 in the candidate list. In order to avoid restructuring the questionnaire, the House race in LA06 was treated as an open race with Baker #31 and Holloway #32. Code 45 in 3021 should be used to exclude these cases from analysis pertaining to Democratic candidates. 51. Democratic incumb. not running -- Dem. candidate unopposed 52. " " " " -- Rep. candidate unopposed 87 55. " " " " -- Dem. & Rep. candidates 37 65. Republican incumb. not running -- Dem. & Rep. candidates 44 85. No identifiable incumbent, Dem and Rep candidates in open race due to redistricting 1036 00. INAP, 1994 cross section *Other-Third Party(s) or Independent ============================== VAR 923022 92PRE:TYPE RACE SENATE COLUMNS 1219 - 1220 NUMERIC MISSING 0 TYPE OF RACE: SENATE -------------------- SEE APPENDIX NOTE INCUMBENT CANDIDATE(S) 160 12. Democratic incumbent running -- Republican challenger 196 21. Republican incumbent running -- Democratic challenger 42 55. Democratic incumb. not running -- Dem. & Rep. candidates 5 65. Republican incumb. not running -- Dem. & Rep. candidates 137 81. Democratic incumbents -- no race in state 3 82. Republican incumbents -- no race in state 153 85. Democratic and Republican incumbents -- no race in state 63 95. Two Senate races, including one open race and one race with running Republican incumbent (CA)** 00. INAP, 1994 cross section ** Republican "incumbent" served partial term upon appointment by departing Senator. ============================== VAR 923023 92PRE:REALISE COLUMNS 1221 - 1221 NUMERIC MISSING 0 PRE-ELECTION SAMPLE RELEASES AND REPLICATES ------------------------------------------- In order that analyses of respondents' reactions to the campaigns not be confounded with ease or difficulty of contacting respondents and persuading them to be interviewed, NES has, since 1984, followed a strategy of releasing Pre-election sample in stages. In 1984 and 1988, there were four two-week target periods. In 1992, because the sample design was unusually complicated, and quartering the sample would have resulted in cost inefficiencies, we released panel and cross-section sample in four week target periods. The assignment of sample lines to target periods was random. The sets of assigned lines are known as "replicates." The first replicate (55% of the sample thought to be necessary if response and eligibility rates were as estimated) was released on September 1st, the second (45%) on October 1st. Three replicates were designated as "reserve" to release as needed, depending on an evaluation of sample performance as of September 30th. At that time, it was decided to release Reserve Replicates 4 and 5 on October 1st along with replicate 2. (Although Reserve Replicate 3 was not released, 12 respondents were interviewed from that replicate, in error.) 402 1. Replicate 1, Released Sept.1st. 307 2. Replicate 2, Released Oct.1st. 2 3. Reserve Replicate 3, Not officially released [IWs conducted in error] 27 4. Reserve Replicate 4, Released Oct. 1st. 21 5. Reserve Replicate 5, Released Oct. 1st. 1036 0. INAP, 1994 cross section ============================== VAR 923024 92PRE:RELEAS SUMMARY COLUMNS 1222 - 1222 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION SAMPLE RELEASE -- SUMMARY -------------------------------------- The interviewing time for the Pre-election, Sept. 1 to Nov. 2, was divided into 2 periods: Sept. 1 - Sept. 30, to interview the first replicate; and Oct. 1 - Nov. 2, for subsequent replicates. This variable summarizes information on the time frame for the release of each replicate and the time of actual completion of the interview. 327 1. Sample released Sept. 1, interview completed before Oct. 1 75 2. Sample released Sept. 1, interview completed between Oct. 1 - Nov. 2 355 3. Sample released Oct. 1, interview completed between Oct. 1 - Nov. 2 2 4. Sample intended to be released Oct. 1, but by error released and interview completed before Oct. 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923025 92PRE:TIME START COLUMNS 1223 - 1226 NUMERIC MISSING 0 A0. PRE-ELECTION: Beginning Time (local)--EXACT TIME NOW -------------------------------------------------------- 24-hour clock is used (0000-2359). 0. INAP, 1994 cross section N=1795 MEAN=6406.79 ST.DEV=4208.62 MIN=620.0000 MAX=9999.00 ============================== VAR 923026 92PRE:INTERVIEW MONTH COLUMNS 1227 - 1228 NUMERIC MISSING 0 OR GE 99 PRE-ELECTION: Date of Interview: MONTH --------------------------------------- Code MONTH (09-11) 99. NA 00. INAP, 1994 cross section ============================== VAR 923027 92PRE:INTERVIEW DAY COLUMNS 1229 - 1230 NUMERIC MISSING 0 OR GE 99 PRE-ELECTION. Date Interview: DAY ----------------------------------- Code DAY OF MONTH (01-31) 99. NA 00. INAP, 1994 cross section ============================== VAR 923028 92PRE:INTERVIEW # COLUMNS 1231 - 1232 NUMERIC MISSING 0 PRE-ELECTION: INTERVIEWER'S INTERVIEW NUMBER -------------------------------------------- This number records the sequence in which each interviewer's interviews were completed. "01" is the first interview on the Pre-election study taken by a particular interviewer; "02" the second, and so on. Code actual NUMBER (01-69) 00. INAP, 1994 cross section N=759 MEAN=10.08588 ST.DEV=8.251552 MIN=1.000000 MAX=99.00000 ============================== VAR 923029 92PRE:IW LENGTH COLUMNS 1233 - 1235 NUMERIC MISSING 0 OR GE 999 PRE-ELECTION: INTERVIEW LENGTH IN MINUTES ----------------------------------------- The actual number of minutes (14-218) is coded, except: 999. NA 000. INAP, 1994 cross section N=759 MEAN=70.16374 ST.DEV=17.48612 MIN=30.00000 MAX=178.0000 ============================== VAR 923030 92PRE:EDIT LENGTH COLUMNS 1236 - 1238 NUMERIC MISSING 0 OR GE 999 PRE-ELECTION: POST-EDIT LENGTH, IN MINUTES ------------------------------------------ The actual number of minutes( 2-170) is coded, except: 999. NA 000. INAP, 1994 cross section N=756 MEAN=37.16968 ST.DEV=16.20372 MIN=12.00000 MAX=170.0000 ============================== VAR 923031 92PRE:IW MODE COLUMNS 1239 - 1239 NUMERIC MISSING 0 PRE-ELECTION: MODE OF INTERVIEW: TELEPHONE OR PERSONAL ------------------------------------------------------ The study design called for face-to-face interviews for all respondents except for a few panel respondents who had moved out of the range of SRC interviewers. See v3071 for coding of whether the respondents were in range or not. A SHORT-FORM or abbreviated questionnaire (both English and Spanish) was prepared to use with these respondents over the phone. See v3011 which records use of short-form versus long-form questionnaires. Telephone interviews were in fact taken with a number of cross- section respondents and a number of 1992 panel respondents who had not moved out of range. This situation is fully described in the introduction and in Technical Report #43, avaialble from NES Project Staff. 716 1. Personal (face-to-face) 43 2. Telephone 1036 0. INAP, 1994 cross section ============================== VAR 923032 92PRE:TOT # CALLS COLUMNS 1240 - 1241 NUMERIC MISSING 0 OR GE 99 PRE-ELECTION: TOTAL NUMBER OF CALLS TO OBTAIN INTERVIEW ------------------------------------------------------- Number of calls 1-32 is coded, except: 99. NA 00. INAP, 1994 cross section N=758 MEAN=3.881399 ST.DEV=3.190553 MIN=1.000000 MAX=32.00000 ============================== VAR 923033 92PRE:RESULT COLUMNS 1242 - 1242 NUMERIC MISSING 0 PRE-ELECTION: RESULT CODE ------------------------- Those interviews coded "partial" in this variable are entirely those taken with the short-form questionnaire, exclusive of the Spanish language questionnaires. See also v3011. 758 01. INTERVIEW, complete 1 05. INTERVIEW, partial (short-forms were coded here) 1036 00. INAP, 1994 cross section ============================== VAR 923034 92PRE:WHY TELEPHONE COLUMNS 1243 - 1243 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION: SHORT-FORM-PANEL ONLY. Reasons for using a telephone questionnaire. ---------------------------------------------------------- 1. Assigned to Telephone by office 2. R moved out of sample 1 3. Other, specify 9. NA 1794 0. Inap, 1994 cross section; 1-2, 6-7 in v3011 ============================== VAR 923035 92PRE:OBT R NAME COLUMNS 1244 - 1244 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION RECONTACT: WAS R's NAME OBTAINED ("What is your full legal name as it appears on official documents such as your voter's registration, Social Security card or driver's license?") ------------------------------------------------------------ 758 1. Name obtained 1 5. Name not obtained 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923036 92PRE:ADDR SAME COLUMNS 1245 - 1245 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION RECONTACT: INTERVIEWER CHECKPOINT: ADDRESS "What is your address?" -------------------------------------------------------- 461 1. Identical to sample label address 244 2. Corrected version of sample label address 53 3. Different from sample label 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923037 92PRE:ADDR DIFF COLUMNS 1246 - 1246 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION RECONTACT: IF ADDRESS GIVEN AT [v3036] IS DIFFERENT FROM SAMPLE LABEL: "Is this an address you will be moving to, a relative's address, the address of a friend, a business address, or what?" ------------------------------------------------------------ Note: because the codes provided on the coversheet did not include a category for addresses to which R has already moved (panel cases), such cases were generally placed in code 7 by interviewers. 47 1. Mailing address 2 2. Address to which R is moving 3. Relative 4. Friend 5. Business 4 7. Other 9. NA 1742 0. INAP, address not different or NA if different from sample label (1,2,9 in v3036); 1994 cross section ============================== VAR 923038 92PRE:OBT TEL # COLUMNS 1247 - 1247 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION RECONTACT: WAS R'S PHONE NUMBER OBTAINED? ("And what is your telephone number?)" ------------------------------------------------------- 706 1. Telephone number obtained 41 5. R has no phone 12 7. Phone number refused 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923039 92PRE:TEL # IN DIR COLUMNS 1248 - 1248 NUMERIC MISSING 0 OR GE 8 PRE-ELECTION RECONTACT: "Is your phone number listed in the current telephone directory?" ------------------------------------------------------------ 506 1. Yes, listed 191 5. No, not listed 4 8. Not sure, don't know 5 9. NA 1089 0. INAP, R has no phone or phone number refused/NA (5,7,9 in v3038); 1994 cross section ============================== VAR 923040 92PRE:TEL IN R NAME COLUMNS 1249 - 1249 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION RECONTACT: "Is your phone listed in your name?" ------------------------------------------------------------ 333 1. Yes (listed in R's name) 166 5. No (not listed in R's name) 7 9. Not sure 1289 0. INAP, R has no phone or phone number refused/NA (5,7,9 in v3038); number not listed/DK/NA if listed (5,8,9 in v3039); 1994 cross section ============================== VAR 923041 92PRE:OTHER HOME COLUMNS 1250 - 1250 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION RECONTACT: "Do you have another place of residence or somewhere else you live during different times of the year?" ----------------------------------------------------------- 32 1. Yes (R has another residence) 716 5. No (no other residence) 11 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923042 92PRE:ADDR REC COLUMNS 1251 - 1251 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION RECONTACT: "If for any reason we should have difficulty contacting you, could you give me the name, address, and telephone number of two close friends or relatives who do not live with you and will know how to get in touch with you?" ----------------------------------------------------------- 630 1. R gave contact information 129 5. R did not give contact information 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923043 92PRE:PROBL USE TEL COLUMNS 1252 - 1252 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION CROSS-SECTION RECONTACT COMPLETED BY INTERVIEWER DURING POST-EDIT: Assuming we have or could obtain a telephone number for this respondent, is there any reason (e.g. hearing problem, illness) why we should not conduct an interview with this person by phone? ----------------------------------------------------------- 20 1. Yes (reason exists) 695 5. No (no reason exists) 44 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923044 92PRE:HU TYPE COLUMNS 1253 - 1254 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION CONTACT DESCRIPTION: DESCRIBE THE TYPE OF STRUCTURE IN WHICH THE RESPONDENT LIVES (SAMPLE ADDRESS) [completed by IWR] -------------------------------------------------------- 33 1. Mobile home 490 2. Detached single family 28 3. Multi family 114 4. Apartment house 30 5. Condo complex 35 7. Other (specify) 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923045 92PRE:GATEKEEPER COLUMNS 1255 - 1255 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION CONTACT DESCRIPTION: IS THERE A BUILDING MANAGER, SECURITY GUARD, OR OTHER GATEKEEPER WHOSE COOPERATION YOU NEED IN ORDER TO GAIN ACCESS TO THE R'S HOUSING UNIT? [completed by IWR] ------------------------------------------------------- 37 1. Yes 694 5. No 28 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923046 92PRE:GK DESCRIPT COLUMNS 1256 - 1256 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION CONTACT DESCRIPTION: (IF BUILDING MANAGER/GUARD/GATEKEEPER): CHECK THE BOX WHICH BEST DESCRIBES THE SITUATION. [completed by IWR] ---------------------------------------------------- 12 1. Building manager or other gatekeeper must let you in the building (on the grounds, into the mobile home park) but then you are free to attempt contact with R's HU 11 2. Building manager/other gatekeeper must get permission from someone in R's HU before you are allowed to make contact with the household 14 7. Other (describe situation) 9. NA 1758 0. INAP, 5,9 in v3045; 1994 cross section ============================== VAR 923047 92PRE:REF CONV IND COLUMNS 1257 - 1257 NUMERIC MISSING GE 9 PRE-ELECTION: REFUSAL CONVERSION -------------------------------- This refers to interviews initially refused by the respondent and is coded by the Field Section Control Office from information on the Coversheet Call Record. It is not assigned by the interviewer. 756 0. Not a refusal conversion situation 3 1. Refusal conversion 1036 9. INAP, 1994 cross section ============================== VAR 923048 92PRE:PERS LETTR COLUMNS 1258 - 1258 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION: PERSUASION LETTER REQUESTED ----------------------------------------- 36 1. Yes 717 5. No 6 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923049 92PRE:INCENTIVE COLUMNS 1259 - 1259 NUMERIC MISSING 0 PRE-ELECTION: TYPE OF INCENTIVE SENT TO SELECTED HOUSEHOLD ---------------------------------------------------------- 759 1. UM pen 1036 0. INAP, 1994 cross section ============================== VAR 923050 92PRE:R PMT OFFERED COLUMNS 1260 - 1262 NUMERIC MISSING 0 OR GE 998 PRE-ELECTION: RESPONDENT PAYMENT OFFERED--AMOUNT ------------------------------------------------ Interviewers were authorized to offer payment to respondents who were reluctant to participate. 1 005. $5 offered as respondent payment 17 010. $10 offered as respondent payment 3 015. $15 offered as respondent payment 49 020. $20 offered as respondent payment 3 998. Respondent payment offered, NA how much 1722 000. INAP, no respondent payment offered; 1994 cross section ============================== VAR 923051 92PRE:R PMT PAID COLUMNS 1263 - 1265 NUMERIC MISSING 0 OR GE 998 PRE-ELECTION: RESPONDENT PAYMENT PAID--AMOUNT --------------------------------------------- See variable 3050. 005. $5 paid as respondent payment 12 010. $10 paid as respondent payment 3 015. $15 paid as respondent payment 34 020. $20 paid as respondent payment 1 998. Respondent payment paid, NA how much 1745 000. INAP, no respondent payment; 1994 cross section ============================== VAR 923052 92PRE:INIT REFUS COLUMNS 1266 - 1266 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION CONTACT DESCRIPTION: DID R REFUSE INITIALLY? ---------------------------------------------------------- 73 1. Yes 664 5. No 21 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923053 92PRE:BREAK APPT COLUMNS 1267 - 1267 NUMERIC MISSING GE 9 PRE-ELECTION CONTACT DESCRIPTION: DID R BREAK ANY APPOINTMENT? -------------------------------------------------- 678 0. No appointments broken 68 1. One 12 2. Two or more 1037 9. NA; INAP, 1994 cross section ============================== VAR 923054 92PRE:WASTE TIME COLUMNS 1268 - 1268 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: A. SURVEYS ARE A WASTE OF TIME --------------------------------------------------- 5 1. Marked 714 5. Not marked 40 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923055 92PRE:VERY ILL COLUMNS 1269 - 1269 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: B. VERY ILL --------------------------------------------------- 5 1. Marked 715 5. Not marked 40 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923056 92PRE:TOO BUSY COLUMNS 1270 - 1270 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: C. 'TOO BUSY' --------------------------------------------------- 72 1. Marked 647 5. Not marked 40 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923057 92PRE:FAM SITUAT COLUMNS 1271 - 1271 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: D. STRESSFUL FAMILY SITUATION --------------------------------------------------- 10 1. Marked 710 5. Not marked 40 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923058 92PRE:CONFIDENTL COLUMNS 1272 - 1272 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: E. CONFIDENTIALITY --------------------------------------------------- 9 1. Marked 710 5. Not marked 40 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923059 92PRE:PRIVACY COLUMNS 1273 - 1273 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: F. INVASION OF PRIVACY --------------------------------------------------- 17 1. Marked 702 5. Not marked 40 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923060 92PRE:RESIS OTHR COLUMNS 1274 - 1274 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: H. OTHER (SPECIFY) --------------------------------------------------- 99 1. Marked 620 5. Not marked 40 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923061 92PRE:FIPS STATE, COUNTY COLUMNS 1275 - 1279 NUMERIC NOMISSING DATA CODES FIPS STATE AND COUNTY CODES --------------------------- The first two digits of this variable contain the FIPS state code: the last 3 digits contain the county code. This information was obtained from: Federal Information Processing Standard Publication, U.S. Department of Commerce, National Bureau of Statistics. 01073. Jefferson, AL 01113. Russell, AL 01117. Shelby, AL 01127. Walker, AL 04013. Maricopa, AZ 05003. Ashley, AR 05095. Monroe, AR 06001. Alameda, CA 06013. Contra Costa, CA 06017. El Dorado, CA 06019. Fresno, CA 06037. Los Angeles, CA 06041. Marin, CA 06059. Orange, CA 06065. Riverside, CA 06071. San Bernardino, CA 06075. San Francisco, CA 06081. San Mateo, CA 08001. Adams, CO 08005. Arapahoe, CO 08013. Boulder, CO 08031. Denver, CO 08059. Jefferson, CO 09009. New Haven, CT 12025. Dade, FL 12031. Duval, FL 12105. Polk, FL 12109. St Johns, FL 13031. Bulloch, GA 13089. De Kalb, GA 13097. Douglas, GA 13121. Fulton, GA 13135. Gwinnett, GA 13215. Muscogee, GA 17031. Cook, IL 17043. Du Page, IL 17089. Kane, IL 17097. Lake, IL 17133. Monroe, IL 18003. Allen, IN 18031. Decatur, IN 18179. Wells, IN 19153. Polk, IA 19181. Warren, IA 20091. Johnson, KS 20147. Phillips, KS 22085. Sabine, LA 24003. Anne Arundel, MD 24510. Baltimore City, MD 24005. Baltimore, MD 24013. Carroll, MD 24025. Harford, MD 24031. Montgomery, MD 24033. Prince Georges, MD 25009. Essex, MA 25015. Hampshire, MA 05017. Middlesex,MA 25021. Norfolk, MA 25025. Suffolk, MA 25027. Worcester, MA 26081. Kent, MI 26087. Lapeer, MI 26099. Macomb, MI 26125. Oakland, MI 26139. Ottawa, MI 26145. Saginaw, MI 26151. Sanilac, MI 26147. St Clair, MI 26163. Wayne, MI 27003. Anoka, MN 27053. Hennepin, MN 27099. Mower, MN 27123. Ramsey, MN 27171. Wright, MN 29047. Clay, MO 29095. Jackson, MO 29183. St Charles, MO 29510. St Louis City, MO 29189. St Louis, MO 31151. Saline, NE 33011. Hillsborough, NH 33015. Rockingham, NH 34001. Atlantic, NJ 34003. Bergen, NJ 34007. Camden, NJ 34013. Essex, NJ 34027. Morris, NJ 34035. Somerset, NJ 34039. Union, NJ 36005. Bronx, NY 36029. Erie, NY 36047. Kings, NY 36059. Nassau, NY 36061. New York, NY 36063. Niagara, NY 36081. Queens, NY 36087. Rockland, NY 36097. Schuyler, NY 36103. Suffolk, NY 36119. Westchester, NY 37155. Robeson, NC 39013. Belmont, OH 39057. Greene, OH 39081. Jefferson, OH 39113. Montgomery, OH 39135. Preble, OH 41039. Lane, OR 42003. Allegheny, PA 42017. Bucks, PA 42045. Delaware, PA 42091. Montgomery, PA 42101. Philadelphia, PA 42125. Washington, PA 42129. Westmoreland, PA 47001. Anderson, TN 47003. Bedford, TN 47009. Blount, TN 47093. Knox, TN 48113. Dallas, TX 48121. Denton, TX 48139. Ellis, TX 48189. Hale, TX 48201. Harris, TX 48215. Hidalgo, TX 48309. McLennan, TX 48439. Tarrant, TX 51013. Arlington, VA 00051. Chesterfield, VA 51059. Fairfax, VA 51087. Henrico, VA 51121. Montgomery, VA 51145. Powhatan, VA 51750. Radford City, VA 51760. Richmond City, VA 53033. King, WA 53061. Snohomish, WA 54009. Brooke, WV 54029. Hancock, WV 54051. Marshall, WV 54069. Ohio, WV 55079. Milwaukee, WI 55089. Ozaukee, WI 55133. Waukesha, WI 56007. Carbon, WY ============================== VAR 923062 92PRE:TRACT/ED INDICATOR COLUMNS 1280 - 1280 NUMERIC MISSING 0 TRACT/ED INDICATOR ------------------ 634 1. Sample address is in a tracted and blocked area 125 2. Sample address is not in a blocked area (it was in a 1980 Enumeration District) 1036 0. INAP, 1994 cross section ============================== VAR 923063 92PRE:FIPS SMSA CODE COLUMNS 1281 - 1284 NUMERIC MISSING 0 FIPS 1980 SMSA CODE ------------------- These FIPS SMSA codes were obtained from the Federal Information Processing Standard Publication, U.S. Department of Commerce, National Bureau of Standards. The 1980 SMSA Codes have for the most part been carried over by the Office of Management and Budget (OMB) to the 1990 Metropolitan Statistical Areas (MSA's). However, some MSA names and definitions have been modified by OMB to reflect shifts in population and changes in characteristics of areas. In the 1992 NES data, the 1980 SMSA codes have been retained for all parts of the MSA primary sampling units (PSU's). It should be remembered that, particularly in the case of PMSAs (which are part of consolidated areas (or CMSAs) some counties or county parts may in 1990 be defined by OMB as part of a different PMSA (a good example is Chicago, IL). It was felt that for NES analysis, to retain the older SMSA codes, which correspond to the 1980 sampling frame used for this sample, was most appropriate for all MSA or PMSA areas. In those areas designated "Non-SMSA" in our sample frame ("Non-MSA" on most of our documentation for 1992 NES), there are two PSUs (#64, Gardner, MA, and #82, El Dorado/Alpine, CA) in which some of the 1980 rural area has in 1990 met the requirements for inclusion in an MSA; in these cases the size of place code was modified to reflect this and the 1990 MSA number is indicated for the affected segments (Core segment 009 in Gardner, MA, where Barre town--not associated with any SMSA in 1980--is now a part of the 1990 Worchester, MA, MSA, and all of the NES segments in El Dorado/Alpine, CA,-- i.e., core segments 001 and 007 and panel segments 002, 003, 005, 007, 009 and 011-- all in El Dorado county which is part of the 1990 Sacramento, CA, MSA.) 4 0360. Anaheim-Santa Ana-Garden Grove, CA 17 0520. Atlanta, GA 4 0560. Atlantic City, NJ 0720. Baltimore, MD 5 1000. Birmingham, AL 1120. Boston, MA 5 1280. Buffalo, NY 26 1600. Chicago, IL 8 1800. Columbus, GA-AL 21 1920. Dallas-Ft Worth, TX 5 2000. Dayton, OH 10 2080. Denver-Boulder, CO 4 2120. Des Moines, IA 16 2160. Detroit, MI 9 2400. Eugene-Springfield, OR 4 2760. Fort Wayne, IN 12 2840. Fresno, CA 11 3000. Grand Rapids, MI 3360. Houston, TX 23 3600. Jacksonville, FL 30 3760. Kansas City, MO-KS 6 3840. Knoxville, TN 12 3980. Lakeland-Winter Haven, FL 7 4480. Los Angeles-Long Beach, CA 5 4760. Manchester, NH 7 4880. McAllen-Pharr-Edinburgh,TX 5000. Miami, FL 7 5080. Milwaukee, WI 26 5120. Mpls-St Paul,MN-WI 13 5380. Nassau-Suffolk, NY 6 5480. New Haven-West Haven, CT 20 5600. New York, NY-NJ 26 5640. Newark, NJ 17 6160. Philadelphia, PA-NJ 50 6200. Phoenix, AZ 6280. Pittsburgh, PA 11 6760. Richmond, VA 27 6780. Riverside-San Bernardino-Ontario, CA 7 6920. Sacramento, CA (1990 MSA definition) 19 6960. Saginaw, MI 7040. St. Louis, MO-IL 7 7360. San Francisco-Oakland,CA 6 7600. Seattle-Everett, WA 6 8080. Steubenville-Wierton, OH-WV 27 8800. Waco, TX 34 8840. Washington, DC-MD-VA 4 9000. Wheeling, WV-OH 5 9240. Worcester, MA (1990 MSA definition) 1227 0000. INAP; location not in SMSA (MSA); 1994 cross section ============================== VAR 923064 92PRE:FIPS SCSA CODE COLUMNS 1285 - 1286 NUMERIC MISSING 0 FIPS (CENSUS) 1990 CONSOLIDATED METROPOLITAN STATISTICAL AREA CODES -------------------------------------------------------- The 1990 Consolidated Metropolitan Statistical Area (CMSA) codes are in most cases identical to the 1980 SCSA codes with the exceptions noted in parenthesis: In addition to the major changes noted, minor changes in SCSA and CMSA names have also occurred between 1980 and 1990. The six largest CMSA's are marked with **. 07. Boston-Lawrence-Salem MA-NH 5 10. Buffalo-Niagra Falls NY 26 14. Chicago-Gary-Lake County IL-IN-WI** 21 31. Dallas-Ft Worth TX (Since Dallas and Ft Worth were made separate PMSAs in 1990, this new CMSA was added in 1990) 10 34. Denver-Boulder CO (Since Denver and Boulder were made separate PMSAs in 1990, this new CMSA was added in 1990) 16 35. Detroit-Ann Arbor MI** 42. Houston-Galveston-Brazoria TX 38 49. Los Angeles-Anaheim-Riverside CA** 56. Miami-Fort Lauderdale FL 7 63. Milawaukee-Racine WI 59 70. New York-Northern New Jersey-Long Island NY-NJ-CT** 17 77. Philadelphia-Wilmington-Trenton PA-NJ-DE-MD** 78. Pittsburgh-Beaver Valley PA 7 84. San Francisco-Oakland-San Jose CA** 6 91. Seattle-Tacoma WA 1584 00. INAP; location not in CMSA, this includes old code 32 (Dayton-Springfield, OH) which is no longer consolidated in 1990 since Dayton and Springfield were combined in a single MSA; 1994 cross section ============================== VAR 923065 92PRE:SIZE OF PLACE COLUMNS 1287 - 1288 NUMERIC MISSING 0 SIZE OF PLACE OF INTERVIEW - 1990 --------------------------------- Coded according to the 1990 Census. The major objective of the Census Bureau in delineating urbanized areas is to provide a better separation of urban and rural population in the vicinity of large cities. An urbanized area consists of a central city or cities, and surrounding closely settled territory ("urban fringe"). Size of Place codes 21 and 41 include areas that are in the "urban fringe" but are not Census Places. For the six largest CMSAs plus twelve of the fifteen next largest CMSA/MSAs (i.e., those coded 1 or 3 (possibly 5, rarely 6) on the Belt Code): 102 11. Central Cities (these would have been coded 1 on the Belt Code). Suburbs of the six largest CMSAs and twelve of the fifteen next largest CMSA/MSAs (coded 3 (sometimes 5 and rarely 6) on Belt Code): 17 20. Rural (including rural places with less than 2500 population) 46 21. 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census places) 63 22. 10,000-29,999 14 23. 30,000-49,999 68 24. 50,000-99,999 6 25. 100,000-149,999 26. 150,000-349,999 27. 350,000 and over, exclusive of cities coded 11 CMSA/MSAs with less than 2,000,000 population (exclusive of those in the six largest CMSAs and 12 of 15 next largest CMSA/MSAs) Central Cities in CMSA/MSAs with less than 2,000,000 population (coded 2 on Belt Code): 15 30. Under 50,000 (identified by OMB in 1990 as Central Cities) 21 31. 50,000-99,999 12 32. 100,000-149,000 21 33. 150,000-349,999 42 34. 350,000 and over Suburbs in CMSA/MSAs with less than 2,000,000 population (coded 4 (or 5 and rarely 6) on Belt Code): 40 40. Rural (including rural places with less than 2,500 population) 62 41. 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census Places) 11 42. 10,000-29,999 8 43. 30,000-49,999 44. 50,000-99,999 21 45. 100,000-149,999 46. 150,000 and over "NON-CMSA/PMSA/MSAs"* Population of place, within these "non-SMSA" areas, as reported in 1990 Census. 122 50. Rural (including places with less than 2,500 population) 25 51. 2,500-9,999 37 52. 10,000-29,999 6 53. 30,000-49,999 * In a few cases, Non-MSA PSUs (based on the 1980 OMB SMSA definitions) contain areas which are now part of a 1990 PMSA or MSA (based on the June 1990 OMB definition). In these cases, the Size of Place Code for any SSUs (segments) within such areas are coded in the "40s" rather than in the "50s" as shown below. This occurred in El Dorado county, CA (the major part of the El Dorado/Alpine Co, CA PSU #82) which is now a part of the Sacramento, CA, MSA, and also for one SSU (segment) in the Gardner, MA (PSU #64) which is now a part of the Worchester, MA, MSA. 1036 00. INAP, 1994 cross section ============================== VAR 923066 92PRE:POPULATION IN 1000 COLUMNS 1289 - 1292 NUMERIC MISSING 0 ACTUAL POPULATION OF INTERVIEW LOCATION - 1990 ---------------------------------------------- The actual 1990 population of the interview place was coded in thousands rounding to the nearest whole thousand. Actual number is coded 9999. 9,998,500 persons and over 0000. Rural place, no defined census place, or census place with fewer than 500 persons; 1994 cross section ============================== VAR 923067 92PRE:BELT CODE COLUMNS 1293 - 1293 NUMERIC MISSING 0 BELT CODE - 1990 - NES ---------------------- Coded according to the 1990 Census and 1990 OMB definitions, 1990 census population reports and 1980 (since 1990 not available) maps showing "urban areas". 102 1. Central Cities* of the six largest** (population over 4,500,000) Consolidated Metropolitan Statistical Areas (CMSAs), plus 12*** of the 15 next largest CMSA/MSA (population over 2,000,000) This would include all 1980 National Sample Frame self-representing areas, plus Newark, NJ (as well as SRP Nassau-Suffolk NY as part of the NYC CMSA) and Anaheim and Riverside CA (as part of the LA CMSA) plus three other non-selfrepresenting primary areas included within the "population over 2,000,000" definition (Miami-Fort Lauderdale, FL CMSA, Seattle-Tacoma, WA CMSA, and Phoenix, AZ MSA). 111 2. Central Cities of CMSAs and Metropolitan Statistical Areas (MSAs) with fewer than 2,000,000 population (exclusive of those in the twenty-one largest CMSA/MSAs--i.e., those listed above) 203 3. Suburbs**** of the six largest CMSAs and 12 of the 15 next largest CMSA/MSAs 119 4. Suburbs of all other CMSA/MSAs 197 5. Adjacent Areas: includes all territory beyond the outer boundary of the suburban belt, but within fifty miles of the central business district of a central city 26 6. Outlying Area: includes all territory more than fifty miles from the central business district of a central city 1036 0. INAP, 1994 cross section * Central Cities as designated in Metropolitan Statistical Areas, 1990, U.S. Office of Management and Budget, Washington, DC (Jun 1990). ** Statistical Abstract of the United States 1991, (111th Edition), U.S. Department of Commerce, Economics and Statistics Administration, Bureau of the Census, Table No. 38. "70 Largest Metropolitan Areas--Racial and Hispanic Origin Populations: 1990" Pp 33. *** Cleveland-Akron-Lorain, OH CMSA, Tampa-St Petersburg- Clearwater, FL CMSA and San Diego, CA MSA are not primary selections within the two-thirds SRC National Sample so do not occur in the 1992 NES data set. ***** Suburbs are defined as all "urbanized areas" in the Primary Area exclusive of the areas coded "1" and "2" above, plus the remainder of any county which includes a central city or parts of a central city. (NOTE: In the New England division where MSA boundaries do not follow county lines, it is necessary to limit this category to the SMSA part of a county which included a central city.) ============================== VAR 923068 92PRE:92SAMPL ERROR COLUMNS 1294 - 1296 NUMERIC MISSING 0 SAMPLING ERROR CODE 1992 (FOR PANEL-ONLY ANALYSIS) -------------------------------------------------- This code contains information for computing sampling errors for "cross-section" analysis of combined panel and for longitudinal panel-only analysis. Contact NES Project Staff or ISR's Sampling Section for further details. 0. INAP, 1994 cross section ============================== VAR 923069 92PRE:90SAMPL ERROR/PANEL COLUMNS 1297 - 1299 NUMERIC NOMISSING DATA CODES SAMPLING ERROR CODE (FOR 1992 PANEL-ONLY ANALYSIS) -------------------------------------------------- This code contains 999 for all 1994 panel cases and 000 for all 1994 cross-section cases. ============================== VAR 923070 92PRE:# HUS AT SAMP COLUMNS 1300 - 1300 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION, 1992 CROSS SECTION/1994 PANEL: NUMBER OF HOUSEHOLD UNITS AT SAMPLE LOCATION ---------------------------------------------------- 748 1. One HU 2. Two HUs 11 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923071 92PRE:NEW ADDR COLUMNS 1301 - 1301 NUMERIC NOMISSING DATA CODES PRE-ELECTION, 1992 PANEL ONLY: RESPONDENT FOUND NOT LIVING AT SAMPLE LABEL ADDRESS, NEW ADDRESS IS: ------------------------------------------------------------ Not applicable in 1994. ============================== VAR 923072 92PRE:HU LST FRM COLUMNS 1302 - 1302 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION, 1992 CROSS SECTION/1994 PANEL: HOUSEHOLD LISTING OBTAINED FROM: ------------------------------------------------------- NOTE: The Household listing in the cover sheet is used mainly to "select" the respondent. 719 1. HU member 6 2. Neighbor 3. Apartment manager 2 5. Observation 8 7. Other (specify) 24 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923073 92PRE:SEL TABLE COLUMNS 1303 - 1304 NUMERIC MISSING 0 PRE-ELECTION, 1992 CROSS SECTION/1994 PANEL: SELECTION TABLE ------------------------------------------------------------ The Selection Table is used to select a respondent from all household members who are eligible adults. (An eligible adult is a U.S. citizen who is 18 years of age or older by Election Day.) The Selection Table appears on the Coversheet below the Household Listing. After a complete listing of the HH is taken, each eligible adult is assigned a "Number" based on the criteria of gender and age [beginning with the oldest male as number 1, males are numbered by increments of 1 according to descending age; females are numbered by descending age starting with the number one higher than that assigned to the youngest male]. The interviewer then uses the Selection Table to determine the "Number" of the eligible adult to be interviewed. The Selection Table itself consists of 2 parallel columns. In the first column the interviewer circles the total number of eligible adults in the household; in the second column (same row) is identified the "Number" of the person who will be the respondent. Below is an example of what one Selection Table looks like [Table A]: SELECTION TABLE A If the number Interview of eligible the person persons is: numbered: 1 1 2 1 3 1 4 1 5 1 6 or more 1 There are 8 different Selection Tables used and they are randomly assigned. [Note that although only 8 tables are used, there are 12 codes in this variable because the 8 tables are used in cycles of 12; this procedure is used to equalize the probability of selection for each eligible adult]. A summary describing all 8 Selection Tables appears below. PERSONS PERSON SELECTED (person "Number") A B1 B2 C D E1 E2 F 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 2 2 2 3 1 1 1 2 2 3 3 3 4 1 1 2 2 3 3 4 4 5 1 2 2 2 4 3 5 5 6 or more 1 2 2 2 4 5 5 6 60 01. Table A 71 02. Table B1 59 03. Table C 64 04. Table D 59 05. Table E1 64 06. Table F 68 07. Table A 57 08. Table B2 66 09. Table C 62 10. Table D 68 11. Table E2 61 12. Table F 1036 00. INAP, 1994 cross section ============================== VAR 923074 92PRE:R PERS # COLUMNS 1305 - 1305 NUMERIC MISSING 0 PRE-ELECTION, 1992 CROSS SECTION/1994 PANEL: (FROM SELECTION TABLE) PERSON NUMBER SELECTED AS R -------------------------------------------------- See Note at 3072. 494 1. R is person numbered 1 233 2. R is person numbered 2 28 3. R is person numbered 3 5 4. R is person numbered 4 5. R is person numbered 5 6. R is person numbered 6 1036 0. INAP, 1994 cross section ============================== VAR 923075 92PRE:# PERSONS COLUMNS 1306 - 1306 NUMERIC MISSING 0 PRE-ELECTION, 1992 CROSS SECTION/1994 PANEL: NUMBER OF PERSONS IN HOUSEHOLD ------------------------------------------------------- This number is on information provided in the household listing and includes all persons in the HH whether eligible or not for participation in the study according to the criteria of age and citizenship. Actual number (1-9) coded, except: See Note at 3072. 00. INAP, 1994 cross section ============================== VAR 923076 92PRE:# ELIG ADULTS COLUMNS 1307 - 1307 NUMERIC MISSING 0 PRE-ELECTION, 1992 CROSS SECTION/1994 PANEL: NUMBER OF POLITICALLY ELIGIBLE ADULTS IN HH ---------------------------------------------------- This number is derived from information provided in the household listing (cover-sheet) and includes HH members who were both U.S. citizens AND 18 years of age or older by election day 1992 See Note at 3072. 246 1. One eligible adult in HH 421 2. Two eligible adults in HH 69 3. Three eligible adults in HH 22 4. Four eligible adults in HH 1 5. Five eligible adults in HH 1036 0. INAP, 1994 cross section ============================== VAR 923077 92PRE:HH COMP COLUMNS 1308 - 1309 NUMERIC MISSING 0 PRE-ELECTION, 1992 CROSS SECTION/1994 PANEL: HOUSEHOLD COMPOSITION CODE ------------------------------------------------------- The HH composition code is derived from information provided in the household listing. "Adults" are 18 years of age (by election day) or older; all individuals included in the HH composition codes below refer to adults. A designation of a HH member as "the householder" (HHR) describes HU member who owns or rents the home (in whose name the lease is held). Cohabiting couples are coded as married (30,40, 50-52). Roommates of opposite sex are coded 11,12,21,22; in all cases of unrelated roommates the respondent is HHR. See Note at 3072. 79 10. 1 adult male HHR 4 11. 1 adult male HHR plus 1 other non-relative 3 12. 1 adult male HHR plus 2 or more non-relatives 144 20. 1 adult female HHR 7 21. 1 adult female HHR plus 1 other non-relative 1 22. 1 adult female HHR plus 2 or more non-relatives 390 30. 1 married couple: no children or all children living at home are under 18 53 40. 1 married couple plus 1 other relative 24 50. 1 married couple plus 2 or more other relatives 3 51. 1 married couple plus 1 other non-relative 1 52. 1 married couple plus 2 or more non-relatives 9 60. 1 unmarried male HHR plus 1 other relative 2 70. 1 unmarried male HHR plus 2 or more other relatives 27 80. 1 unmarried female HHR plus 1 other relative 11 90. 1 unmarried female HHR plus 2 or more other relatives 1 95. Relatives of opposite sex, unclear who is HHR 1036 00. INAP, 1994 cross section ============================== VAR 923078 92PRE:HH DESCR ALL COLUMNS 1310 - 1311 NUMERIC MISSING 0 OR GE 99 PRE-ELECTION: HOUSEHOLD DESCRIPTION FOR 1992 PANEL RESPONDENTS -------------------------------------------------- This variable was built using: (1) questions Y55-Y56d for information about R's children and children for which R is responsible living with R at least half time; and (2) the household composition variable (3077) and marital status variable (Y2) for information about other adults. For panel cases, codes 10 and 11 correspond to 10 and 20 in 3077 (HH composition), codes 20 and 21 correspond to 1 and 7 in Y2 (marital status), and codes 30-31 correspond to cases in the non-married categories of Y2 (marital status) and not 10 nor 20 in CS15 (HH composition). Note, however, that six cases [IDs 39,92,224,359,599,704] coded 10 or 20 in the HH composition were actually cases of married Rs (spouse in nursing home, spouse living away due to work requirements, spouse in service), and these cases are included in codes 20-21 here. In all cases coded 20-21, adults other than R and spouse may also be in household. 164 10. One adult (R), no children 48 11. One adult (R), child/ren 209 20. Married/partnered couple including R, no children 214 21. Married/partnered couple including R, child/ren 81 30. 2 or more adults (R not married), no children 18 31. 2 or more adults (R not married), child/ren 23 99. NA 1038 00. INAP, 3-4, 6-7 in FS3; 1994 cross section ============================== VAR 923079 92PRE:KID 0 TO 5 COLUMNS 1312 - 1312 NUMERIC MISSING GE 9 PRE-ELECTION, 1992 CROSS SECTION/1994 PANEL: NUMBER OF CHILDREN UNDER 6 YEARS OLD IN HH ---------------------------------------------------- See Note at 3072. This number is derived from information provided in the household listing. 1645 0. None; INAP, 1994 cross section 98 1. One child 44 2. . 5 3. . 1 4. . 5. Five children 2 9. NA ============================== VAR 923080 92PRE:KID 6 TO 9 COLUMNS 1313 - 1313 NUMERIC MISSING GE 9 PRE-ELECTION, 1992 CROSS SECTION/1994 PANEL: NUMBER OF CHILDREN 6-9 YEARS OLD IN HH ---------------------------------------------------- See Note at 3072. This number is derived from information provided in the household listing. 1685 0. None; INAP, 1994 cross section 84 1. One child 20 2. . 4 3. . 4. . 5. Five children 2 9. NA ============================== VAR 923081 92PRE:KID 10 TO 13 COLUMNS 1314 - 1314 NUMERIC MISSING GE 9 PRE-ELECTION, 1992 CROSS SECTION/1994 PANEL: NUMBER OF CHILDREN 10-13 YEARS OLD ---------------------------------------------------- See Note at 3072. This number is derived from information provided in the household listing. 1695 0. None; INAP, 1994 cross section 78 1. One child 17 2. . 2 3. . 4. . 5. Five children 2 9. NA ============================== VAR 923082 92PRE:KID 14 TO 17 COLUMNS 1315 - 1315 NUMERIC MISSING GE 9 PRE-ELECTION, 1992 CROSS SECTION/1994 PANEL: NUMBER OF CHILDREN 14-17 YEARS OLD IN HH --------------------------------------------------- See Note at 3072. This number is derived from information provided in the household listing (CS14). 1705 0. None; INAP, 1994 cross section 76 1. One child 10 2. . 2 3. . 4. . 5. Five children 2 9. NA ============================== VAR 923083 92PRE:SUPERVISOR ID COLUMNS 1316 - 1319 NUMERIC NOMISSING DATA CODES PRE-ELECTION: INTERVIEWER'S ID NUMBER ------------------------------------- Code actual NUMBER (0001-9999) from interviewer's label ============================== VAR 923084 92PRE:SUPERVISOR COLUMNS 1320 - 1323 NUMERIC MISSING 0 PRE-ELECTION: SUPERVISOR ID NUMBER ---------------------------------- SRC Interviewers report to regional Supervisors, whose ID numbers are entered here. These numbers range from 2576- 9958. 0000. INAP, 1994 cross section ============================== VAR 923085 92PRE:IWER RACE COLUMNS 1324 - 1324 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION: INTERVIEWER'S RACE -------------------------------- 732 1. White 27 2. Black 3. Native American 4. Asian 7. Other 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923086 92PRE:IWER ETHNICITY COLUMNS 1325 - 1325 NUMERIC MISSING GE 9 PRE-ELECTION: INTERVIEWER'S ETHNICITY ------------------------------------- 635 0. No ethnic identity coded 30 1. Hispanic 93 7. Other 1037 9. NA; INAP, 1994 cross section ============================== VAR 923087 92PRE:IWER AGE BRACK COLUMNS 1326 - 1326 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION: INTERVIEWER'S AGE BRACKETED ----------------------------------------- 105 1. 18-34 years 70 2. 35-40 102 3. 41-45 106 4. 46-50 104 5. 51-55 120 6. 56-60 106 7. 61-64 45 8. 65-79 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923088 92PRE:IWER YRS EXPER COLUMNS 1327 - 1328 NUMERIC MISSING GE 99 PRE-ELECTION: INTERVIEWER'S YEARS OF EXPERIENCE -- up to September 1, 1992 -------------------------------------------------------- 00. Less than one year . . 33. Thirty three years 99. INAP, 1994 cross section ============================== VAR 923089 92PRE:IWER GENDER COLUMNS 1329 - 1329 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION: INTERVIEWER'S GENDER ---------------------------------- 31 1. Male 728 2. Female 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923090 92PRE:IWER EDUC BRACK COLUMNS 1330 - 1330 NUMERIC MISSING 0 OR GE 9 PRE-ELECTION: INTERVIEWER'S EDUCATION ------------------------------------- 90 1. Some high school/HS diploma/equivalency 338 2. Some College 331 3. College: degree at Bachelor's level or greater 9. NA 1036 0. INAP, 1994 cross section There are no variables in range 3091-3100 ============================== VAR 923101 92PRE:A1. ATTENT CAMP COLUMNS 1331 - 1331 NUMERIC MISSING 0 OR GE 8 A1. Some people don't pay much attention to political campaigns. How about you? Would you say that you have been very much interested, somewhat interested, or not much interested in the political campaigns so far this year? ------------------------------------------------------------ 328 1. VERY MUCH INTERESTED 298 3. SOMEWHAT INTERESTED 129 5. NOT MUCH INTERESTED 8. DK 4 9. NA 1036 0. 1994 cross section ============================== VAR 923102 92PRE:A2.ELECTED PRESIDENT COLUMNS 1332 - 1332 NUMERIC MISSING 0 OR GE 8 A2. Who do you think will be elected President in November? ------------------------------------------------------------ 237 1. BUSH 423 2. CLINTON 13 3. PEROT (volunteered) 1 7. OTHER, SPECIFY: 84 8. DK 1 9. NA 1036 0. 1994 cross section ============================== VAR 923103 92PRE:A2a/b.RACE CLOSE COLUMNS 1333 - 1333 NUMERIC MISSING 0 OR GE 8 A2a. (IF R GIVES NAME:) Do you think the Presidential race will be close, or will (NAME GIVEN IN A2) win by quite a bit? A2b. (IF R SAYS DK:) Do you think the Presidential race will be close, or will one candidate win by quite a bit? ----------------------------------------------------------- 594 1. CLOSE RACE 137 3. WIN BY QUITE A BIT 27 8. DK 9. NA 1037 0. Inap, 9 in A2; 1994 cross section ============================== VAR 923104 92PRE:A3.WIN STATE COLUMNS 1334 - 1334 NUMERIC MISSING 0 OR GE 8 A3. How about here in (R's STATE)? Which candidate for President do you think will carry this state? (IF NECESSARY: Which candidate will win in this state?) ------------------------------------------------------------ 246 1. BUSH 401 2. CLINTON 13 3. PEROT (volunteered) 1 7. OTHER, SPECIFY: 98 8. DK 1 9. NA 1036 0. 1994 cross section ============================== VAR 923105 92PRE:A3a/b.STATE RACE CLOSE COLUMNS 1335 - 1335 NUMERIC MISSING 0 OR GE 8 A3a. (IF R GIVES NAME:) Do you think the Presidential race will be close here, or will (NAME GIVEN IN A2) win by quite a bit? A3b. (IF R SAYS DK:) Do you think the Presidential race will be close here, or will one candidate win by quite a bit? ------------------------------------------------------------ 475 1. CLOSE RACE 236 3. WIN BY QUITE A BIT 46 8. DK 9. NA 1037 0. Inap, 9 in A3; 1994 cross section ============================== VAR 923106 92PRE:A4.CARE WHO WINS COLUMNS 1336 - 1336 NUMERIC MISSING 0 OR GE 8 A4. Generally speaking, would you say that you personally care a good deal who wins the presidential election this fall, or that you don't care very much who wins? ---------------------------------------------------------- 591 1. CARE A GOOD DEAL 159 3. DON'T CARE VERY MUCH 6 8. DK 3 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923107 92PRE:A5.VOTED IN 1988 COLUMNS 1337 - 1337 NUMERIC MISSING 0 OR GE 8 A5. In 1988 George Bush ran on the Republican ticket against Michael Dukakis for the Democrats. Do you remember for sure whether or not you voted in that election? ----------------------------------------------------------- 499 1. YES, DID VOTE 245 5. NO, DIDN'T VOTE 10 8. DK 2 9. NA 1038 0. INAP, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923108 92PRE:A5a.WHO VOTED IN 1988 COLUMNS 1338 - 1338 NUMERIC MISSING 0 OR GE 8 A5a. Which one did you vote for? --------------------------------- 322 1. BUSH 167 2. DUKAKIS 4 5. OTHER 2 8. DK 4 9. NA 1296 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in A5; 1994 cross section ============================== VAR 923109 92PRE:B1.LIKES BUSH COLUMNS 1339 - 1339 NUMERIC MISSING 0 OR GE 8 B1. Now I'd like to ask you about the good and bad points of the major candidates for President. Is there anything in particular about Mr. Bush that might make you want to vote for him? ------------------------------------------------------------ 402 1. YES 347 5. NO 8 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923110 92PRE:B1a.LIKES BUSH MENTION 1 COLUMNS 1340 - 1343 NUMERIC MISSING 0 OR GE 9998 B1a(1). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1, 1994 cross section ============================== VAR 923111 92PRE:B1a.LIKES BUSH MENTION 2 COLUMNS 1344 - 1347 NUMERIC MISSING 0 OR GE 9998 B1a(2). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1; 1994 cross section ============================== VAR 923112 92PRE:B1a.LIKES BUSH MENTION 3 COLUMNS 1348 - 1351 NUMERIC MISSING 0 OR GE 9998 B1a(3). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1; 1994 cross section ============================== VAR 923113 92PRE:B1a.LIKES BUSH MENTION 4 COLUMNS 1352 - 1355 NUMERIC MISSING 0 OR GE 9998 B1a(4). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1; 1994 cross section ============================== VAR 923114 92PRE:B1a.LIKES BUSH MENTION 5 COLUMNS 1356 - 1359 NUMERIC MISSING 0 OR GE 9998 B1a(5). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1; 1994 cross section ============================== VAR 923115 92PRE:B2.DISLIKE BUSH; COLUMNS 1360 - 1360 NUMERIC MISSING 0 OR GE 8 B2. Is there anything in particular about Mr. Bush that might make you want to vote against him? -------------------------------------------------------- 538 1. YES 215 5. NO 5 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923116 92PRE:B2a.DISLIKE BUSH MENTION 1 COLUMNS 1361 - 1364 NUMERIC MISSING 0 OR GE 9998 B2a(1). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2; 1994 cross section ============================== VAR 923117 92PRE:B2a.DISLIKE BUSH MENTION 2 COLUMNS 1365 - 1368 NUMERIC MISSING 0 OR GE 9998 B2a(2). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2; 1994 cross section ============================== VAR 923118 92PRE:B2a.DISLIKE BUSH MENTION 3 COLUMNS 1369 - 1372 NUMERIC MISSING 0 OR GE 9998 B2a(3). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2; 1994 cross section ============================== VAR 923119 92PRE:B2a.DISLIKE BUSH MENTION 4 COLUMNS 1373 - 1376 NUMERIC MISSING 0 OR GE 9998 B2a(4). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2; 1994 cross section ============================== VAR 923120 92PRE:B2a.DISLIKE BUSH MENTION 5 COLUMNS 1377 - 1380 NUMERIC MISSING 0 OR GE 9998 B2a(5). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2; 1994 cross section ============================== VAR 923121 92PRE:B3.LIKES CLINTON COLUMNS 1381 - 1381 NUMERIC MISSING 0 OR GE 8 B3. Is there anything in particular about Mr. Clinton that might make you want to vote for him? ----------------------------------------------------------- 431 1. YES 317 5. NO 11 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923122 92PRE:B3a.LIKES CLINTON MENTION 1 COLUMNS 1382 - 1385 NUMERIC MISSING 0 OR GE 9998 B3a(1). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3; 1994 cross section ============================== VAR 923123 92PRE:B3a.LIKES CLINTON MENTION 2 COLUMNS 1386 - 1389 NUMERIC MISSING 0 OR GE 9998 B3a(2). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3; 1994 cross section ============================== VAR 923124 92PRE:B3a.LIKES CLINTON MENTION 3 COLUMNS 1390 - 1393 NUMERIC MISSING 0 OR GE 9998 B3a(3). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3; 1994 cross section ============================== VAR 923125 92PRE:B3a.LIKES CLINTON MENTION 4 COLUMNS 1394 - 1397 NUMERIC MISSING 0 OR GE 9998 B3a(4). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3; 1994 cross section ============================== VAR 923126 92PRE:B3a.LIKES CLINTON MENTION 5 COLUMNS 1398 - 1401 NUMERIC MISSING 0 OR GE 9998 B3a(5). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3; 1994 cross section ============================== VAR 923127 92PRE:B4.DSLKE CLINTON COLUMNS 1402 - 1402 NUMERIC MISSING 0 OR GE 8 B4. Is there anything in particular about Mr. Clinton that might make you want to vote against him? ----------------------------------------------------------- 426 1. YES 320 5. NO 11 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923128 92PRE:B4a.DSLKE CLINTON MENTION 1 COLUMNS 1403 - 1406 NUMERIC MISSING 0 OR GE 9998 B4a(1). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4; 1994 cross section ============================== VAR 923129 92PRE:B4a.DSLKE CLINTON MENTION 2 COLUMNS 1407 - 1410 NUMERIC MISSING 0 OR GE 9998 B4a(2). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4; 1994 cross section ============================== VAR 923130 92PRE:B4a.DSLKE CLINTON MENTION 3 COLUMNS 1411 - 1414 NUMERIC MISSING 0 OR GE 9998 B4a(3). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4; 1994 cross section ============================== VAR 923131 92PRE:B4a.DSLKE CLINTON MENTION 4 COLUMNS 1415 - 1418 NUMERIC MISSING 0 OR GE 9998 B4a(4). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4; 1994 cross section ============================== VAR 923132 92PRE:B4a.DSLKE CLINTON MENTION 5 COLUMNS 1419 - 1422 NUMERIC MISSING 0 OR GE 9998 B4a(5). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4; 1994 cross section ============================== VAR 923133 92PRE:B4b.LIKE PEROT COLUMNS 1423 - 1423 NUMERIC MISSING 0 OR GE 8 B4b - B4e were added to the Pre-Election survey as of October 1, 1992 B4b. Is there anything about Mr. Perot that might make you want to vote for him? ----------------------------------------------------------- 217 1. YES 201 5. NO 333 7. Interview taken before question was added 6 8. DON'T KNOW 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923134 92PRE:B4c.LIKE PEROT MENTION 1 COLUMNS 1424 - 1427 NUMERIC MISSING 0 OR GE 9998 B4b - B4e were added to the Pre-Election survey as of October 1, 1992 B4c(1). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 1578 0000. Inap, 5, 7-9 in B4b; no further mention; 1994 cross section ============================== VAR 923135 92PRE:M4c.LIKE PEROT MENTION 2 COLUMNS 1428 - 1431 NUMERIC MISSING 0 OR GE 9998 B4c(2). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ 0001. . . 9997. 9998. DK 1636 0000. Inap, 5, 7-9 in B4b; no further mention; 1994 cross section ============================== VAR 923136 92PRE:B4c.LIKE PEROT MENTION 3 COLUMNS 1432 - 1435 NUMERIC MISSING 0 OR GE 9998 B4c(3). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 1708 0000. Inap, 5, 7-9 in B4b; no further mention; 1994 cross section ============================== VAR 923137 92PRE:B4c.LIKE PEROT MENTION 4 COLUMNS 1436 - 1439 NUMERIC MISSING 0 OR GE 9998 B4c(4). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ 0001. . . 9997. 9998. DK 1748 0000. Inap, 5, 7-9 in B4b; no further mention; 1994 cross section ============================== VAR 923138 92PRE:B4c.LIKE PEROT MENTION 5 COLUMNS 1440 - 1443 NUMERIC MISSING 0 OR GE 9998 B4c(5). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 1769 0000. Inap, 5, 7-9 in B4b; no further mention; 1994 cross section ============================== VAR 923139 92PRE:B4d.DISLKE PEROT COLUMNS 1444 - 1444 NUMERIC MISSING 0 OR GE 8 B4b - B4e were added to the Pre-Election survey as of October 1, 1992 B4d. Is there anything about Mr. Perot that might make you want to vote against him? ----------------------------------------------------------- 277 1. YES 138 5. NO 333 7. Interview taken before question was asked 8 8. DON'T KNOW 3 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923140 92PRE:B4e.DISLKE PEROT MENTION 1 COLUMNS 1445 - 1448 NUMERIC MISSING 0 OR GE 9998 B4b - B4e were added to the Pre-Election survey as of October 1, 1992 B4e(1). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention; 1994 cross section ============================== VAR 923141 92PRE:B4e.DISLKE PEROT MENTION 2 COLUMNS 1449 - 1452 NUMERIC MISSING 0 OR GE 9998 B4e(2). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention; 1994 cross section ============================== VAR 923142 92PRE:B4e.DISLKE PEROT MENTION 3 COLUMNS 1453 - 1456 NUMERIC MISSING 0 OR GE 9998 B4e(3). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention; 1994 cross section ============================== VAR 923143 92PRE:B4e.DISLKE PEROT MENTION 4 COLUMNS 1457 - 1460 NUMERIC MISSING 0 OR GE 9998 B4e(4). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention; 1994 cross section ============================== VAR 923144 92PRE:B4e.DISLKE PEROT MENTION 5 COLUMNS 1461 - 1464 NUMERIC MISSING 0 OR GE 9998 B4e(5). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention; 1994 cross section ============================== VAR 923145 92PRE:B5.SATISFACTION/CANDIDATES COLUMNS 1465 - 1465 NUMERIC MISSING 0 OR GE 8 B5. (RB, P. 1) Please turn to page one of this booklet. How satisfied are you with the choice you have among the candidates running for president--very satisfied, somewhat satisfied, not very satisfied, or not at all satisfied? ---------------------------------------------------------- 110 1. VERY SATISFIED 354 2. SOMEWHAT SATISFIED 213 3. NOT VERY SATISFIED 71 4. NOT AT ALL SATISFIED 5 8. DK 6 9. NA 1036 0. INAP, 1994 cross section There are no variables in range 3146-3200 ============================== VAR 923201 92PRE:C1.DAYS WATCH TV NEWS COLUMNS 1466 - 1466 NUMERIC MISSING 8 OR GE 9 C1. How many days in the past week did you watch the news on TV? ---------------------------------------------------------- Code NUMBER OF DAYS (0-7) 73 0. NONE 35 1. ONE DAY 65 2. TWO DAYS 78 3. THREE DAYS 51 4. FOUR DAYS 58 5. FIVE DAYS 16 6. SIX DAYS 377 7. EVERY DAY 1 8. DK 1041 9. NA; Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923202 92PRE:C1A.ATTENTION TO TV NEWS/CAMPAIGN COLUMNS 1467 - 1467 NUMERIC MISSING 0 OR GE 8 C1a. (RB, P. 2) How much attention did you pay to news on TV about the campaign for President -- a great deal, quite a bit, some, very little, or none? ------------------------------------------------------------ 155 1. A GREAT DEAL 222 2. QUITE A BIT 199 3. SOME 82 4. VERY LITTLE 20 5. NONE 8. DK 3 9. NA 1115 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in C1; 1994 cross section ============================== VAR 923203 92PRE:C2.DAYS READ NEWSPAPER COLUMNS 1468 - 1468 NUMERIC MISSING GE 8 C2. How many days in the past week did you read a daily newspaper? -------------------------------------------------------- Code NUMBER OF DAYS (1-7) 184 0. NONE 83 1. ONE DAY 66 2. . 44 3. . 30 4. . 37 5. . 17 6. . 291 7. EVERY DAY 1 8. DK 1042 9. NA; Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923204 92PRE:C2a.READ ABOUT CAMPAIGN/NEWSPAPER COLUMNS 1469 - 1469 NUMERIC MISSING 0 OR GE 8 C2a. Did you read about the campaign in any newspaper? ------------------------------------------------------- 388 1. YES 179 5. NO 8. DK 1 9. NA 1227 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in C2; 1994 cross section ============================== VAR 923205 92PRE:C2b.ATTENTION NEWSPAPER/CAMPAIGN COLUMNS 1470 - 1470 NUMERIC MISSING 0 OR GE 8 C2b. How much attention did you pay to newspaper articles about the campaign for President -- a great deal, quite a bit, some, very little, or none? ------------------------------------------------------------ 79 1. A GREAT DEAL 122 2. QUITE A BIT 143 3. SOME 42 4. VERY LITTLE 2 5. NONE 8. DK 9. NA 1407 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in C2; 5, 8-9 in C2a; 1994 cross section ============================== VAR 923206 92PRE:C3.READ MAGAZINES/CAMPAIGN COLUMNS 1471 - 1471 NUMERIC MISSING 0 OR GE 8 C3. How about magazines -- did you read about the campaign in any magazines? ----------------------------------------------------------- 180 1. YES 572 5. NO 2 8. DK 2 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923207 92PRE:C3a.ATTENTION MAGAZINES/CAMPAIGN COLUMNS 1472 - 1472 NUMERIC MISSING 0 OR GE 8 C3a. How much attention did you pay to magazine articles about the campaign for President -- a great deal, quite a bit, some very little, or none? --------------------------------------------------------- 24 1. A GREAT DEAL 65 2. QUITE A BIT 67 3. SOME 24 4. VERY LITTLE 1 5. NONE 8. DK 9. NA 1615 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in C3; 1994 cross section ============================== VAR 923208 92PRE:C4.LISTEN TO RADIO/CAMPAIGN COLUMNS 1473 - 1473 NUMERIC MISSING 0 OR GE 8 C4. Did you listen to any speeches or discussions about the campaign on the radio? ------------------------------------------------------------ 300 1. YES 453 5. NO 1 8. DK 2 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923209 92PRE:C4a.HOW MANY SPEECHES LISTENED TO COLUMNS 1474 - 1474 NUMERIC MISSING 0 OR GE 8 C4a. Would you say you listened to a good many, several, or just one or two? ----------------------------------------------------------- 60 1. GOOD MANY 92 3. SEVERAL 147 5. ONE OR TWO 1 8. DK 9. NA 1495 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in C4; 1994 cross section ============================== VAR 923210 92PRE:C5.LISTEN/WATCH TALK SHOWS COLUMNS 1475 - 1475 NUMERIC MISSING 0 OR GE 8 C5. Do you listen to or watch talk shows on radio or tv where people call in to voice their opinions? -------------------------------------------------------- 421 1. YES 332 5. NO 8. DK 3 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923211 92PRE:C6.TV CAMPAIGN ADVERTISEMENTS COLUMNS 1476 - 1476 NUMERIC MISSING 0 OR GE 8 C6. Do you recall seeing any presidential campaign advertisements on television? --------------------------------------------------- 540 1. YES 214 5. NO 8. DK 2 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923212 92PRE:C6A(1)REMEMBER ABOUT ADS-1ST MEN COLUMNS 1477 - 1479 NUMERIC MISSING 0 OR GE 998 C6a(1). Please tell me, what do you remember about any of these ads? (Do you remember any others?) (5 MENTIONS. See the POLITICAL ADVERTISEMENT Master Code.) ---------------------------------------------------------- 001. . . 997. 998. DK (C6a(1) only) 999. NA (C6a(1) only) 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information; 1994 cross section ============================== VAR 923213 92PRE:C6A(2)REMEMBER ABOUT ADS-2ND MEN COLUMNS 1480 - 1482 NUMERIC MISSING 0 C6a(2). Please tell me, what do you remember about any of these ads? (Do you remember any others?) (5 MENTIONS. See the POLITICAL ADVERTISEMENT Master Code.) ---------------------------------------------------------- 001. . . 997. 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information; 1994 cross section ============================== VAR 923214 92PRE:C6A(3)REMEMBER ABOUT ADS-3RD MEN COLUMNS 1483 - 1485 NUMERIC MISSING 0 C6a(3). Please tell me, what do you remember about any of these ads? (Do you remember any others?) (5 MENTIONS. See the POLITICAL ADVERTISEMENT Master Code.) ---------------------------------------------------------- 001. . . 997. 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information; 1994 cross section ============================== VAR 923215 92PRE:C6A(4)REMEMBER ABOUT ADS-4TH MEN COLUMNS 1486 - 1488 NUMERIC MISSING 0 C6a(4). Please tell me, what do you remember about any of these ads? (Do you remember any others?) (5 MENTIONS. See the POLITICAL ADVERTISEMENT Master Code.) ---------------------------------------------------------- 001. . . 997. 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information; 1994 cross section ============================== VAR 923216 92PRE:C6A(5)REMEMBER ABOUT ADS-5TH MEN COLUMNS 1489 - 1491 NUMERIC MISSING 0 C6a(5). Please tell me, what do you remember about any of these ads? (Do you remember any others?) (5 MENTIONS. See the POLITICAL ADVERTISEMENT Master Code.) ---------------------------------------------------------- 001. . . 997. 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information; 1994 cross section There are no variables in range 3217-3300 ============================== VAR 923301 92PRE:D1.VOTE PRIMARY COLUMNS 1492 - 1492 NUMERIC MISSING 0 OR GE 8 ARIZONA, IOWA, MINNESOTA, MISSOURI, VIRGINIA, WYOMING. D1 This state held its Democratic presidential nominating caucus in __________ and its Republican caucus in _________. In talking to people about caucuses, we find that many people did not vote for a variety of reasons. How about you - - did you vote in either of those caucuses? ALL OTHER STATES. D1. This state held a Presidential (primary/caucus) election in _________. In talking to people about elections, we find that many people did not vote for a variety of reasons. How about you -- did you vote in that (primary election/caucus)? ------------------------------------------------------------ 229 1. YES, VOTED 515 5. NO, DIDN'T VOTE 8 8. DK, CAN'T REMEMBER 5 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923302 92PRE:D1a.VOTE WHICH PARTY COLUMNS 1493 - 1493 NUMERIC MISSING 0 OR GE 8 D1a. Did you vote in the Republican or the Democratic (primary/caucus)? ------------------------------------------------------ 92 1. REPUBLICAN 130 5. DEMOCRATIC 5 8. DK, CAN'T REMEMBER 2 9. NA 1566 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in D1; 1994 cross section ============================== VAR 923303 92PRE:D1b.VOTE WHICH REPUBLICAN COLUMNS 1494 - 1495 NUMERIC MISSING 0 OR GE 98 D1b. (BALLOT CARD) Here is a list of the Republican Presidential candidates in your state's (primary/caucus). Who did you vote for? --------------------------------------------------------- 70 01. George Bush 11 02. Patrick Buchanan 1 03. Uncommitted 2 90. Ross Perot (write-in) 1 96. Didn't vote for a presidential candidate/voted only for state or local candidates 4 97. Other 2 98. DK, CAN'T REMEMBER 1 99. NA 1703 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in D1 or D1a; 1994 cross section ============================== VAR 923304 92PRE:D1c.VOTE WHICH DEMOCRAT COLUMNS 1496 - 1497 NUMERIC MISSING 0 OR GE 98 D1c. (BALLOT CARD) Here is a list of the Democratic Presidential candidates in your state's (primary/caucus). Who did you vote for? --------------------------------------------------------- 72 01. Bill Clinton 23 02. Paul Tsongas 16 03. Jerry Brown 2 04. Bob Kerry 1 05. Tom Harkin 2 06. Uncommitted 07. Voted for Bill Clinton as write-in in Republican primary (TN only) 90. Ross Perot (write-in) 96. Didn't vote for a presidential candidate/voted only for state or local candidates 1 97. Other 12 98. DK, CAN'T REMEMBER 1 99. NA 1665 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in D1; 1, 8-9 in D1a; 1994 cross section ============================== VAR 923305 92PRE:D2a.THERM BUSH COLUMNS 1498 - 1500 NUMERIC MISSING GE 888 D2. (RB, P.3) I'd like to get your feelings toward some of our political leaders and other people who are in the news these days. I'll read the name of a person and I'd like you to rate that person using something we call the feeling thermometer. Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the person. Ratings between 0 degrees and 50 degrees mean that you don't feel favorable toward the person and that you don't care too much for that person. You would rate the person at the 50 degree mark if you don't feel particularly warm or cold toward the person. If we come to a person whose name you don't recognize, you don't need to rate that person. Just tell me and we'll move on to the next one. Our first person is George Bush. How would you rate him using the thermometer? PROBE FOR "I DON'T KNOW" RESPONSE: When you say "don't know" do you mean that you don't know who the person is, or do you have something else in mind? D2a. GEORGE BUSH ------------------------------------------------------------ Code actual number 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA N=751 MEAN=53.00816 ST.DEV=25.88575 MIN=0 MAX=100.0000 ============================== VAR 923306 92PRE:D2b.THERM CLINTON COLUMNS 1501 - 1503 NUMERIC MISSING GE 888 D2b. Bill Clinton ---------------------------------------- Code actual number 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA N=736 MEAN=54.53535 ST.DEV=24.29360 MIN=0 MAX=100.0000 ============================== VAR 923307 92PRE:D2c.THERM PEROT COLUMNS 1504 - 1506 NUMERIC MISSING GE 888 D2c. Ross Perot -------------------------------------- Code actual number 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA N=703 MEAN=44.56009 ST.DEV=26.38076 MIN=0 MAX=100.0000 ============================== VAR 923308 92PRE:D2d.THERN QUAYLE COLUMNS 1507 - 1509 NUMERIC MISSING GE 888 D2d. Dan Quayle -------------------------------------- Code actual number 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA N=737 MEAN=43.27141 ST.DEV=26.05576 MIN=0 MAX=100.0000 ============================== VAR 923309 92PRE:D2e.THERM GORE COLUMNS 1510 - 1512 NUMERIC MISSING GE 888 D2e. Albert Gore --------------------------------------- Code actual number 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA N=634 MEAN=57.37715 ST.DEV=22.27843 MIN=0 MAX=100.0000 ============================== VAR 923310 92PRE:D2f.THERM A HILL COLUMNS 1513 - 1515 NUMERIC MISSING GE 888 D2f. Anita Hill -------------------------------------- Code actual number 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA N=645 MEAN=47.93816 ST.DEV=26.51233 MIN=0 MAX=100.0000 ============================== VAR 923311 92PRE:D2g.THERM FOLEY COLUMNS 1516 - 1518 NUMERIC MISSING GE 888 D2g. Tom Foley ------------------------------------- Code actual number NOTE: It was discovered during interviewing that Tom Foley was also the name of a prominent district attorney in Ramsey County, MN. It is possible that some respondents in MN had that individual in mind. 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA N=345 MEAN=47.13753 ST.DEV=18.29265 MIN=0 MAX=100.0000 ============================== VAR 923312 92PRE:D2h.THERM B BUSH COLUMNS 1519 - 1521 NUMERIC MISSING GE 888 D2h. Barbara Bush ---------------------------------------- Code actual number 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA N=739 MEAN=69.06607 ST.DEV=22.46312 MIN=0 MAX=100.0000 ============================== VAR 923313 92PRE:D2j.THERM HILLARY COLUMNS 1522 - 1524 NUMERIC MISSING GE 888 D2j. Hillary Clinton ------------------------------------------- Code actual number 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA N=702 MEAN=53.63688 ST.DEV=22.89438 MIN=0 MAX=100.0000 ============================== VAR 923314 92PRE:D2k.THERM THOMAS COLUMNS 1525 - 1527 NUMERIC MISSING GE 888 D2k. Clarence Thomas ------------------------------------------- Code actual number 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA N=669 MEAN=45.07614 ST.DEV=23.33097 MIN=0 MAX=100.0000 ============================== VAR 923315 92PRE:D2m.THERM BUCHANAN COLUMNS 1528 - 1530 NUMERIC MISSING GE 888 D2m. Pat Buchanan ---------------------------------------- Code actual number 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA N=612 MEAN=41.64777 ST.DEV=23.25757 MIN=0 MAX=100.0000 ============================== VAR 923316 92PRE:D2n.THERM JACKSON COLUMNS 1531 - 1533 NUMERIC MISSING GE 888 D2n. Jesse Jackson ----------------------------------------- Code actual number 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA N=732 MEAN=44.85144 ST.DEV=26.09661 MIN=0 MAX=100.0000 ============================== VAR 923317 92PRE:D3a.THERM DEM PTY COLUMNS 1534 - 1536 NUMERIC MISSING GE 888 D3. (RB, STILL ON P. 3) And still using the thermometer, how would you rate the following: D3a. The Democratic Party ---------------------------------------------------------- Code actual number 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=725 MEAN=57.14626 ST.DEV=22.24844 MIN=0 MAX=100.0000 ============================== VAR 923318 92PRE:D3b.THERM REP PTY COLUMNS 1537 - 1539 NUMERIC MISSING GE 888 D3b. The Republican Party ------------------------------------------------ Code actual number 000. . . 100. 888. INAP, 1994 cross section 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA N=727 MEAN=52.27176 ST.DEV=23.15520 MIN=0 MAX=100.0000 ============================== VAR 923319 92PRE:D4.APPR/DISAPPROV BUSH COLUMNS 1540 - 1540 NUMERIC MISSING 0 OR GE 8 D4. Do you approve or disapprove of the way George Bush is handling his job as president? ----------------------------------------------------------- 326 1. APPROVE 411 5. DISAPPROVE 21 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923320 92PRE:D4a/b.STRENGTH APPR/DISAPPROV BUSH COLUMNS 1541 - 1541 NUMERIC MISSING 0 OR GE 8 D4a. Do you approve strongly or not strongly? D4b. Do you disapprove strongly or not strongly? ------------------------------------------------- 109 1. APPROVE STRONGLY 215 2. APPROVE NOT STRONGLY 163 4. DISAPPROVE NOT STRONGLY 248 5. DISAPPROVE STRONGLY 8. DK 1 9. NA 1058 0. Inap, 8-9 in D4; 1994 cross section ============================== VAR 923321 92PRE:D5.APPR/DISAPPROV BUSH-FORGN RELAT COLUMNS 1542 - 1542 NUMERIC MISSING 0 OR GE 8 D5. Do you approve or disapprove of the way George Bush is handling our relations with foreign countries? ----------------------------------------------------------- 476 1. APPROVE 251 5. DISAPPROVE 30 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923322 92PRE:D5a/b.STR APP/DISAPP BUSH-FOR RELT COLUMNS 1543 - 1543 NUMERIC MISSING 0 OR GE 8 D5a. Do you approve strongly or not strongly? D5b. Do you disapprove strongly or not strongly? ------------------------------------------------- 278 1. APPROVE STRONGLY 199 2. APPROVE NOT STRONGLY 87 4. DISAPPROVE NOT STRONGLY 164 5. DISAPPROVE STRONGLY 8. DK 9. NA 1068 0. Inap, 8-9 in D5; 1994 cross section ============================== VAR 923323 92PRE:D6.APPR/DISAPPROV BUSH-ECONOMY COLUMNS 1544 - 1544 NUMERIC MISSING 0 OR GE 8 D6. Do you approve or disapprove of the way George Bush is handling the economy? ----------------------------------------------------------- 167 1. APPROVE 571 5. DISAPPROVE 20 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923324 92PRE:D6a/b.STR APP/DISAPP BUSH-ECONOMY COLUMNS 1545 - 1545 NUMERIC MISSING 0 OR GE 8 D6a. Do you approve strongly or not strongly? D6b. Do you disapprove strongly or not strongly? ------------------------------------------------- 52 1. APPROVE STRONGLY 115 2. APPROVE NOT STRONGLY 134 4. DISAPPROVE NOT STRONGLY 437 5. DISAPPROVE STRONGLY 8. DK 9. NA 1057 0. Inap, 8-9 in D6; 1994 cross section ============================== VAR 923325 92PRE:D7.APPR/DIAPPROV BUSH-PERSIAN GULF COLUMNS 1546 - 1546 NUMERIC MISSING 0 OR GE 8 D7. Do you approve or disapprove of the way George Bush is handling the crisis in the Persian Gulf? ----------------------------------------------------------- 466 1. APPROVE 250 5. DISAPPROVE 42 8. DK 2 9. NA 1036 0. Inap; 1994 cross section ============================== VAR 923326 92PRE:D7a/b.STR APP/DISAPP BUSH-GULF COLUMNS 1547 - 1547 NUMERIC MISSING 0 OR GE 8 D7a. Do you approve strongly or not strongly? D7b. Do you disapprove strongly or not strongly? ------------------------------------------------- 285 1. APPROVE STRONGLY 181 2. APPROVE NOT STRONGLY 87 4. DISAPPROVE NOT STRONGLY 159 5. DISAPPROVE STRONGLY 2 8. DK 1 9. NA 1080 0. Inap, 8-9 in D7; 1994 cross section ============================== VAR 923327 92PRE:D8a.BETTER JOB-ECONOMY COLUMNS 1548 - 1548 NUMERIC MISSING 0 OR GE 8 D8. (RB, P.4) Which presidential candidate do you think would do a better job at handling the nation's economy--George Bush, Bill Clinton, or wouldn't there be any difference between them?: (Who do you think would do a better job at...) D8a. HANDLING THE NATION'S ECONOMY? ------------------------------------------------------------ 183 1. BUSH 304 2. CLINTON 236 3. NO DIFFERENCE 6 4. PEROT (volunteered) 25 8. DK 5 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923328 92PRE:D8b.BETTER JOB-FOREIGN AFFAIRS COLUMNS 1549 - 1549 NUMERIC MISSING 0 OR GE 8 D8b. handling foreign affairs? ---------------------------------------------------- 449 1. BUSH 144 2. CLINTON 132 3. NO DIFFERENCE 2 4. PEROT (volunteered) 28 8. DK 5 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923329 92PRE:D8c.BETTER JOB-POVERTY COLUMNS 1550 - 1550 NUMERIC MISSING 0 OR GE 8 D8c. solving the problem of poverty? ------------------------------------------------------------ 126 1. BUSH 379 2. CLINTON 223 3. NO DIFFERENCE 7 4. PEROT (volunteered) 20 8. DK 5 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923330 92PRE:D8d.BETTER JOB-ENVIRONMENT COLUMNS 1551 - 1551 NUMERIC MISSING 0 OR GE 8 D8d. handling the problem of pollution and protecting the environment? ---------------------------------------------------- 152 1. BUSH 347 2. CLINTON 226 3. NO DIFFERENCE 4 4. PEROT (volunteered) 25 8. DK 5 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923331 92PRE:D8e.BETTER JOB-HEALTH CARE COLUMNS 1552 - 1552 NUMERIC MISSING 0 OR GE 8 D8e. making health care more affordable? ----------------------------------------------------------- 131 1. BUSH 420 2. CLINTON 177 3. NO DIFFERENCE 5 4. PEROT (volunteered) 22 8. DK 4 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923332 92PRE:D8f.BETTER JOB-BUDGET DEFICIT COLUMNS 1553 - 1553 NUMERIC MISSING 0 OR GE 8 D8f. reducing the budget deficit? ---------------------------------------------------- 144 1. BUSH 255 2. CLINTON 308 3. NO DIFFERENCE 12 4. PEROT (volunteered) 34 8. DK 6 9. NA 1036 0. INAP, 1994 cross section There are no variables in range 3333-3400 ============================== VAR 923401 92PRE:E1.LIKES DEM PTY COLUMNS 1554 - 1554 NUMERIC MISSING 0 OR GE 8 E1. I'd like to ask you what you think are the good and bad points about the two national parties. Is there anything in particular that you like about the Democratic Party? ------------------------------------------------------------ 360 1. YES 364 5. NO 34 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923402 92PRE:E1a.LIKES DEM PTY MENTION 1 COLUMNS 1555 - 1558 NUMERIC MISSING 0 E1a(1). [IF NECESSARY: What is that?] [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- 0001. . . 9997. 0000. Inap, 5, 8-9 in E1; 1994 cross section ============================== VAR 923403 92PRE:E1a.LIKES DEM PTY MENTION 2 COLUMNS 1559 - 1562 NUMERIC MISSING 0 E1a(2). [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- 0001. . . 9997. 0000. Inap, 5, 8-9 in E1; 1994 cross section ============================== VAR 923404 92PRE:E1a.LIKES DEM PTY MENTION 3 COLUMNS 1563 - 1566 NUMERIC MISSING 0 E1a(3). [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- 0001. . . 9997. 0000. Inap, 5, 8-9 in E1; 1994 cross section ============================== VAR 923405 92PRE:E1a.LIKES DEM PTY MENTION 4 COLUMNS 1567 - 1570 NUMERIC MISSING 0 E1a(4). [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- 0001. . . 9997. 0000. Inap, 5, 8-9 in E1; 1994 cross section ============================== VAR 923406 92PRE:E1a.LIKES DEM PTY MENTION 5 COLUMNS 1571 - 1574 NUMERIC MISSING 0 E1a(5). [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- 0001. . . 9997. 0000. Inap, 5, 8-9 in E1; 1994 cross section ============================== VAR 923407 92PRE:E2.DSLKE DEM PTY COLUMNS 1575 - 1575 NUMERIC MISSING 0 OR GE 8 E2. Is there anything in particular that you don't like about the Democratic Party? -------------------------------------------------------- 350 1. YES 379 5. NO 28 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923408 92PRE:E2a.DSLKE DEM PTY MENTION 1 COLUMNS 1576 - 1579 NUMERIC MISSING 0 E2a(1). [IF NECESSARY: What is that?] [PROBE: Anything else you don't like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- 0001. . . 9997. 1445 0000. Inap, 5, 8-9 in E2; 1994 cross section ============================== VAR 923409 92PRE:E2a.DSLKE DEM PTY MENTION 2 COLUMNS 1580 - 1583 NUMERIC MISSING 0 E2a(2). [PROBE: Anything else you don't like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- 0001. . . 9997. 1602 0000. Inap, 5, 8-9 in E2; 1994 cross section ============================== VAR 923410 92PRE:E2a.DSLKE DEM PTY MENTION 3 COLUMNS 1584 - 1587 NUMERIC MISSING 0 E2a(3). [PROBE: Anything else you don't like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- 0001. . . 9997. 1713 0000. Inap, 5, 8-9 in E2; 1994 cross section ============================== VAR 923411 92PRE:E2a.DSLKE DEM PTY MENTION 4 COLUMNS 1588 - 1591 NUMERIC MISSING 0 E2a(4). [PROBE: Anything else you don't like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- 0001. . . 9997. 1755 0000. Inap, 5, 8-9 in E2; 1994 cross section ============================== VAR 923412 92PRE:E2a.DSLKE DEM PTY OBMENTION 5 COLUMNS 1592 - 1595 NUMERIC MISSING 0 E2a(5). [PROBE: Anything else you don't like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- 0001. . . 9997. 1784 0000. Inap, 5, 8-9 in E2; 1994 cross section ============================== VAR 923413 92PRE:E3.LIKES REP PTY COLUMNS 1596 - 1596 NUMERIC MISSING 0 OR GE 8 E3. Is there anything in particular that you like about the Republican Party? ------------------------------------------------------------ 302 1. YES 431 5. NO 24 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923414 92PRE:E3a.LIKES REP PTY MENTION 1 COLUMNS 1597 - 1600 NUMERIC MISSING 0 E3a(1). [IF NECESSARY: What is that?] [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- 0001. . . 9997. 0000. Inap, 5, 8-9 in E3; 1994 cross section ============================== VAR 923415 92PRE:E3a.LIKES REP PTY MENTION 2 COLUMNS 1601 - 1604 NUMERIC MISSING 0 E3a(2). [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- 0001. . . 9997. 0000. Inap, 5, 8-9 in E3; 1994 cross section ============================== VAR 923416 92PRE:E3a.LIKES REP PTY MENTION 3 COLUMNS 1605 - 1608 NUMERIC MISSING 0 E3a(3). [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- 0001. . . 9997. 0000. Inap, 5, 8-9 in E3; 1994 cross section ============================== VAR 923417 92PRE:E3a.LIKES REP PTY MENTION 4 COLUMNS 1609 - 1612 NUMERIC MISSING 0 E3a(4). [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- 0001. . . 9997. 0000. Inap, 5, 8-9 in E3; 1994 cross section ============================== VAR 923418 92PRE:E3a.LIKES REP PTY MENTION 5 COLUMNS 1613 - 1616 NUMERIC MISSING 0 E3a(5). [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- 0001. . . 9997. 0000. Inap, 5, 8-9 in E3; 1994 cross section ============================== VAR 923419 92PRE:E4.DSLKE REP PTY COLUMNS 1617 - 1617 NUMERIC MISSING 0 OR GE 8 E4. Is there anything in particular that you don't like about the Republican Party? -------------------------------------------------------- 396 1. YES 339 5. NO 21 8. DK 3 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923420 92PRE:E4a.DSLKE REP PTY MENTION 1 COLUMNS 1618 - 1621 NUMERIC MISSING 0 E4a(1). [IF NECESSARY: What is that?] [PROBE: Anything else you don't like about the Republican Party? -- until R says"NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- 0001. . . 9997. 0000. Inap, 5, 8-9 in E4; 1994 cross section ============================== VAR 923421 92PRE:E4a.DSLKE REP PTY MENTION 2 COLUMNS 1622 - 1625 NUMERIC MISSING 0 E4a(2). [PROBE: Anything else you don't like about the Republican Party? -- until R says"NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ 0001. . . 9997. 0000. Inap, 5, 8-9 in E4; 1994 cross section ============================== VAR 923422 92PRE:E4a.DSLKE REP PTY MENTION 3 COLUMNS 1626 - 1629 NUMERIC MISSING 0 E4a(3). [PROBE: Anything else you don't like about the Republican Party? -- until R says"NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ 0001. . . 9997. 0000. Inap, 5, 8-9 in E4; 1994 cross section ============================== VAR 923423 92PRE:E4a.DSLKE REP PTY MENTION 4 COLUMNS 1630 - 1633 NUMERIC MISSING 0 E4a(4). [PROBE: Anything else you don't like about the Republican Party? -- until R says"NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ 0001. . . 9997. 0000. Inap, 5, 8-9 in E4; 1994 cross section ============================== VAR 923424 92PRE:E4a.DSLKE REP PTY MENTION 5 COLUMNS 1634 - 1637 NUMERIC MISSING 0 E4a(5). [PROBE: Anything else you don't like about the Republican Party? -- until R says"NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ 0001. . . 9997. 0000. Inap, 5, 8-9 in E4; 1994 cross section ============================== VAR 923425 92PRE:F1.BETTER/WORSE FINANCIALLY COLUMNS 1638 - 1638 NUMERIC MISSING 0 OR GE 8 F1. We are interested in how people are getting along financially these days. Would you say that you (and your family living here) are better off or worse off financially than you were a year ago? ----------------------------------------------------------- 236 1. BETTER OFF 258 3. SAME 261 5. WORSE OFF 4 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923426 92PRE:F1a/b.MUCH/SOME BETTER FINANC COLUMNS 1639 - 1639 NUMERIC MISSING 0 OR GE 8 F1a. Is that much better off or somewhat better off? F1b. Is that much worse off or somewhat worse off? ----------------------------------------------------- 63 1. MUCH BETTER 172 2. SOMEWHAT BETTER 258 3. Same; 3 in F1 170 4. SOMEWHAT WORSE 92 5. MUCH WORSE 8. DK 1 9. NA 1040 0. Inap, 8-9 in F1; 1994 cross section ============================== VAR 923427 92PRE:F2.BETTER/WORSE FINANC NEXT YEAR COLUMNS 1640 - 1640 NUMERIC MISSING 0 OR GE 8 F2. Now looking ahead, do you think that a year from now you (and your family living here) will be better off financially, or worse off, or just about the same as now? --------------------------------------------------------- 250 1. BETTER YEAR FROM NOW 411 3. SAME 75 5. WORSE YEAR FROM NOW 22 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923428 92PRE:F2a/b.MUCH/SOME BETTER FIN/NXT YR COLUMNS 1641 - 1641 NUMERIC MISSING 0 OR GE 8 F2a. Is that much better off or somewhat better off? F2b. Is that much worse off or somewhat worse off? ----------------------------------------------------- 77 1. MUCH BETTER 171 2. SOMEWHAT BETTER 411 3. Same; 3 in F2 56 4. SOMEWHAT WORSE 20 5. MUCH WORSE 8. DK 1 9. NA 1059 0. Inap, 8-9 in F2; 1994 cross section ============================== VAR 923429 92PRE:F3.INCOME/COST OF LIVING COLUMNS 1642 - 1642 NUMERIC MISSING 0 OR GE 8 F3. Do you think that over the last year (your/your family's) income has gone up more than the cost of living, has it fallen behind, or has it stayed about even with the cost of living? ---------------------------------------------------------- 100 1. GONE UP MORE 291 3. STAYED ABOUT EVEN 360 5. FALLEN BEHIND 8 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923430 92PRE:F3a/b.INC UP/BEHIND COST LIVING COLUMNS 1643 - 1643 NUMERIC MISSING 0 OR GE 8 F3a. Has it gone up a lot more or a little more? F3b. Has it fallen behind a lot or a little? ------------------------------------------------- 40 1. GONE UP A LOT 60 2. GONE UP A LITTLE 291 3. Same; 3 in F3 196 4. FALLEN BEHIND A LITTLE 164 5. FALLEN BEHIND A LOT 8. DK 9. NA 1044 0. Inap, 8-9 in F3; 1994 cross section ============================== VAR 923431 92PRE:F4.ECON POLICIES EFFECT COLUMNS 1644 - 1644 NUMERIC MISSING 0 OR GE 8 F4. Over the past year have the economic policies of the federal government made you (and your family living here) better off, worse off,or haven't they made much of a difference either way? --------------------------------------------------------- 26 1. BETTER OFF 490 3. HAVEN'T MADE MUCH DIFFERENCE 233 5. WORSE OFF 11 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923432 92PRE:F4a/b.ECON POL/BETTER WORSE OFF COLUMNS 1645 - 1645 NUMERIC MISSING 0 OR GE 8 F4a. Is that much better off or somewhat better off? F4b. Is that much worse off or somewhat worse off? ----------------------------------------------------- 5 1. MUCH BETTER 21 2. SOMEWHAT BETTER 490 3. Same; 3 in F4 161 4. SOMEWHAT WORSE 72 5. MUCH WORSE 8. DK 9. NA 1047 0. Inap, 8-9 in F4; 1994 cross section ============================== VAR 923433 92PRE:F5.BOUGHT THINGS/PUT OFF BUYING COLUMNS 1646 - 1646 NUMERIC MISSING 0 OR GE 8 F5. During the past year (have you/has your family living here) been able to buy most of the things you needed and planned on buying or have you had to put off buying these things? ---------------------------------------------------------- 360 1. BEEN ABLE TO BUY 393 5. HAD TO PUT OFF BUYING 1 8. DK 2 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923434 92PRE:F6.MED/DENTAL TREATMENT-PUT OFF COLUMNS 1647 - 1647 NUMERIC MISSING 0 OR GE 8 F6. In the past year did you (or anyone in your family living here) put off medical or dental treatment because you didn't have the money? ------------------------------------------------------------ 235 1. YES 516 5. NO 3 8. DK 2 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923435 92PRE:F7a.BORROW COLUMNS 1648 - 1648 NUMERIC MISSING 0 OR GE 8 F7. In order to make ends meet this past year did (any of) you do any of the following: F7a. borrow money from a bank, a lending institution, or from relatives or friends? ----------------------------------------------------------- 270 1. YES 482 5. NO 1 8. DK 3 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923436 92PRE:F7b.USE SAVING COLUMNS 1649 - 1649 NUMERIC MISSING 0 OR GE 8 F7b. (Did you) dip into your savings? -------------------------------------------------------- 345 1. YES 404 5. NO 8. DK 8 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923437 92PRE:F7c.SEC JOB COLUMNS 1650 - 1650 NUMERIC MISSING 0 OR GE 8 F7c. (Did you) look for a job, look for a second job, or try to work more hours at your present job? ---------------------------------------------------------- 315 1. YES 435 5. NO 1 8. DK 6 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923438 92PRE:F8.SAVE MONEY COLUMNS 1651 - 1651 NUMERIC MISSING 0 OR GE 8 F8. Over the past year have you (and your family) been able to save any money? ------------------------------------------------------------ 327 1. YES 423 5. NO 3 8. DK 3 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923439 92PRE:F9.BEHIND RENT/HOUSE PAYMENTS COLUMNS 1652 - 1652 NUMERIC MISSING 0 OR GE 8 F9. This past year have you (or anyone in your family living here) fallen behind in rent or house payments? ------------------------------------------------------ 82 1. YES 671 5. NO 1 8. DK 2 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923440 92PRE:F10a.SOC SEC COLUMNS 1653 - 1653 NUMERIC MISSING 0 OR GE 8 F10. (RB, P. 5) Do you (or any family member living with you) currently receive payments from... F10a. ...Social Security? ---------------------------------------------------------- 190 1. YES 564 5. NO 1 8. DK 4 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923441 92PRE:F10b.FOOD STAMP COLUMNS 1654 - 1654 NUMERIC MISSING 0 OR GE 8 F10b. ...Food Stamps? ----------------------------------------------------- 54 1. YES 702 5. NO 8. DK 4 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923442 92PRE:F10c.MEDICARE COLUMNS 1655 - 1655 NUMERIC MISSING 0 OR GE 8 F10c. ...Medicare? ----------------------------------------------------- 157 1. YES 600 5. NO 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923443 92PRE:F10d.MEDICAID COLUMNS 1656 - 1656 NUMERIC MISSING 0 OR GE 8 F10d. ...Medicaid? ----------------------------------------------------- 61 1. YES 688 5. NO 3 8. DK 7 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923444 92PRE:F10e.UNEMPLOYM COLUMNS 1657 - 1657 NUMERIC MISSING 0 OR GE 8 F10e. ...Unemployment Compensation? ----------------------------------------------------- 23 1. YES 731 5. NO 8. DK 5 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923445 92PRE:F10f.FDC COLUMNS 1658 - 1658 NUMERIC MISSING 0 OR GE 8 F10f. ...Aid to Families with Dependent Children? -------------------------------------------------------- 29 1. YES 724 5. NO 1 8. DK 5 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923446 92PRE:F10G.VET BENF COLUMNS 1659 - 1659 NUMERIC MISSING 0 OR GE 8 F10g. ...Veterans Benefits? ------------------------------------------------------ 21 1. YES 735 5. NO 8. DK 3 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923447 92PRE:F10h.PENSION COLUMNS 1660 - 1660 NUMERIC MISSING 0 OR GE 8 F10h. ...Retirement pensions for federal government employees? ----------------------------------------------------------- 32 1. YES 724 5. NO 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923448 92PRE:F10j.DISABILITY COLUMNS 1661 - 1661 NUMERIC MISSING 0 OR GE 8 F10j. ...Disability payments? -------------------------------------------------------- 39 1. YES 718 5. NO 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923449 92PRE:F10k.WORK COMP COLUMNS 1662 - 1662 NUMERIC MISSING 0 OR GE 8 F10k. ...Workman's compensation? ----------------------------------------------------------- 6 1. YES 751 5. NO 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923450 92PRE:F11.MORE LIKELY TO RAISE TAXES COLUMNS 1663 - 1663 NUMERIC MISSING 0 OR GE 8 F11. Which candidate for President would be more likely to try to raise taxes: George Bush or Bill Clinton, or wouldn't there be much difference between them? ----------------------------------------------------------- 101 1. BUSH 291 2. CLINTON 345 3. NO DIFFERENCE 1 4. Perot (volunteered) 19 8. DK 1 9. NA 1036 0. INAP, 1994 cross section There are no variables in range 3451-3500 ============================== VAR 923501 92PRE:G1a.BUSH ANGRY COLUMNS 1664 - 1664 NUMERIC MISSING 0 OR GE 8 G1. Now we would like to know something about the feelings you have toward the candidates for President. I am going to name a candidate, and I want you to tell me whether something about that person, or something he has done, has made you have certain feelings like anger or pride. Has George Bush -- because of the kind of person he is, or because of something he has done--ever made you feel: G1a. angry? ------------------------------------------------------------ 403 1. YES, HAVE FELT 352 5. NO; NEVER FELT 3 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923502 92PRE:G1b.BUSH HOPEFUL COLUMNS 1665 - 1665 NUMERIC MISSING 0 OR GE 8 G1b. hopeful? ------------------------------------------------------ 397 1. YES, HAVE FELT 357 5. NO; NEVER FELT 3 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923503 92PRE:G1c.BUSH AFRAID COLUMNS 1666 - 1666 NUMERIC MISSING 0 OR GE 8 G1c. afraid? ----------------------------------------------------- 296 1. YES, HAVE FELT 459 5. NO; NEVER FELT 3 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923504 92PRE:G1d.BUSH PROUD COLUMNS 1667 - 1667 NUMERIC MISSING 0 OR GE 8 G1d. proud? ---------------------------------------------------- 444 1. YES, HAVE FELT 310 5. NO; NEVER FELT 2 8. DK 3 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923505 92PRE:G2a.CLINTON ANGRY COLUMNS 1668 - 1668 NUMERIC MISSING 0 OR GE 8 G2. Think about Bill Clinton. Has Bill Clinton (-- because of the kind of person he is, or because of something he has done --) ever made you feel: G2a. angry? ------------------------------------------------------ 212 1. YES, HAVE FELT 538 5. NO; NEVER FELT 3 8. DK 5 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923506 92PRE:G2b.CLINTON HOPEFUL COLUMNS 1669 - 1669 NUMERIC MISSING 0 OR GE 8 G2b. hopeful? ------------------------------------------------------- 370 1. YES, HAVE FELT 382 5. NO; NEVER FELT 2 8. DK 5 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923507 92PRE:G2c.CLINTON AFRAID COLUMNS 1670 - 1670 NUMERIC MISSING 0 OR GE 8 G2c. afraid? ------------------------------------------------------ 189 1. YES, HAVE FELT 561 5. NO; NEVER FELT 2 8. DK 6 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923508 92PRE:G2d.CLINTON PROUD COLUMNS 1671 - 1671 NUMERIC MISSING 0 OR GE 8 G2d. proud? ----------------------------------------------------- 172 1. YES, HAVE FELT 576 5. NO; NEVER FELT 3 8. DK 7 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923509 92PRE:G3a.LIB/CON 7PT COLUMNS 1672 - 1672 NUMERIC MISSING 0 OR GE 8 G3. (RB, P. 6) We hear a lot of talk these days about liberals and conservatives. Here is a 7-point scale on which the political views that people might hold are arranged from extremely liberal to extremely conservative. G3a. Where would you place yourself on this scale, or haven't you thought much about this? ---------------------------------------------------------- RATING (1-7) 16 1. EXTREMELY LIBERAL 70 2. LIBERAL 75 3. SLIGHTLY LIBERAL 183 4. MODERATE; MIDDLE OF ROAD 119 5. SLIGHTLY CONSERVATIVE 102 6. CONSERVATIVE 26 7. EXTREMELY CONSERVATIVE 17 8. DK; [DO NOT PROBE] 1037 9. NA; INAP, 1994 cross section 150 0. HAVEN'T THOUGHT MUCH; [DO NOT PROBE] ============================== VAR 923510 92PRE:G3b.INTERVIEWER CHECKPOINT COLUMNS 1673 - 1673 NUMERIC MISSING 0 G3b. INTERVIEWER CHECKPOINT ---------------------------- 183 1. RATING AT G3a IS 4 408 2. ALL OTHERS 1204 0. Inap, 0, 8-9 in G3; 1994 cross section ============================== VAR 923511 92PRE:G3c.IF MODERATE:LIB/CON COLUMNS 1674 - 1674 NUMERIC MISSING 0 OR GE 8 G3c. (IF MODERATE, MIDDLE OF ROAD) If you had to choose would you consider yourself a liberal or a conservative? -------------------------------------------------------- 60 1. LIBERAL 24 3. MODERATE, MIDDLE OF ROAD 92 5. CONSERVATIVE 2 7. REFUSES TO CHOOSE 4 8. DK 1 9. NA 1612 0. Inap, 0, 1-3, 5-9 in G3 (2 in G3b); 1994 cross section section ============================== VAR 923512 92PRE:G3d.IF DK:LIB/CON COLUMNS 1675 - 1675 NUMERIC MISSING 0 OR GE 8 G3d. (IF DON'T KNOW OR HAVEN'T THOUGHT MUCH:) If you had to choose would you consider yourself a liberal or a conservative? ----------------------------------------------------------- 29 1. LIBERAL 18 3. MODERATE, MIDDLE OF ROAD 69 5. CONSERVATIVE 5 7. REFUSES TO CHOOSE 43 8. DK 3 9. NA 1628 0. Inap, 1-7,9 in G3a; 1994 cross section ============================== VAR 923513 92PRE:G3x.LIB/CON 3P COLUMNS 1676 - 1676 NUMERIC MISSING 0 OR GE 8 G3x. SUMMARY: R's Ideological Placement, Bracketed --------------------------------------------------- Built from G3a, G3c-d 250 1. Liberal (1-3 in G3a; 1 in G3c; 1 in G3d) 48 3. Moderate (4 in G3a and 3, 7-9 in G3c; 3 in G3d) 409 5. Conservative (5-7 in G3a; 5 in G3c; 5 in G3d) 5 7. Refused to choose (0, 8 in G3a and 7 in G3d) 43 8. Don't Know (0, 8 in G3a and 8 in G3d) 1037 9. NA to entire question series G3 (9 in G3a); 1994 cross section 3 0. NA to follow up question G3d ============================== VAR 923514 92PRE:G3e/d1.LIB/CON BUSH COLUMNS 1677 - 1677 NUMERIC MISSING 0 OR GE 8 G3e/G3d1. (RB, STILL ON P. 6) Where would you place George Bush on this scale? ----------------------------------------------------------- 19 1. EXTREMELY LIBERAL 32 2. LIBERAL 40 3. SLIGHTLY LIBERAL 106 4. MODERATE; MIDDLE OF ROAD 133 5. SLIGHTLY CONSERVATIVE 266 6. CONSERVATIVE 70 7. EXTREMELY CONSERVATIVE 87 8. DK 1 9. NA 1040 0. Inap, 9 in G3a; 9 in G3d; 1994 cross section ============================== VAR 923515 92PRE:G3f/d2.LIB/CON CLINTON COLUMNS 1678 - 1678 NUMERIC MISSING 0 OR GE 8 G3f/G3d2. (Where would you place) Bill Clinton (on this scale)? -------------------------------------------------------- 63 1. EXTREMELY LIBERAL 183 2. LIBERAL 175 3. SLIGHTLY LIBERAL 147 4. MODERATE; MIDDLE OF ROAD 39 5. SLIGHTLY CONSERVATIVE 31 6. CONSERVATIVE 12 7. EXTREMELY CONSERVATIVE 104 8. DK 1 9. NA 1040 0. Inap, 9 in G3a; 9 in G3d; 1994 cross section ============================== VAR 923516 92PRE:G3g/d3.LIB/CON PEROT COLUMNS 1679 - 1679 NUMERIC MISSING 0 OR GE 8 G3g/G3d3. (Where would you place) Ross Perot (on this scale)? ------------------------------------------------------ 50 1. EXTREMELY LIBERAL 45 2. LIBERAL 69 3. SLIGHTLY LIBERAL 153 4. MODERATE; MIDDLE OF ROAD 82 5. SLIGHTLY CONSERVATIVE 83 6. CONSERVATIVE 80 7. EXTREMELY CONSERVATIVE 189 8. DK 3 9. NA 1040 0. Inap, 9 in G3a; 9 in G3d; 1994 cross section ============================== VAR 923517 92PRE:G3h.LIB/CON REP PTY COLUMNS 1680 - 1680 NUMERIC MISSING 0 OR GE 8 G3h. The Republican party? ------------------------------------------------------ 14 1. EXTREMELY LIBERAL 36 2. LIBERAL 38 3. SLIGHTLY LIBERAL 73 4. MODERATE; MIDDLE OF ROAD 120 5. SLIGHTLY CONSERVATIVE 247 6. CONSERVATIVE 86 7. EXTREMELY CONSERVATIVE 83 8. DK 15 9. NA 1083 0. Inap, 9 in G3a; 8-9 in G3d; 1994 cross section ============================== VAR 923518 92PRE:G3j.LIB/CON DEM PTY COLUMNS 1681 - 1681 NUMERIC MISSING 0 OR GE 8 G3j. The Democratic party? ------------------------------------------------------ 68 1. EXTREMELY LIBERAL 194 2. LIBERAL 155 3. SLIGHTLY LIBERAL 112 4. MODERATE; MIDDLE OF ROAD 50 5. SLIGHTLY CONSERVATIVE 34 6. CONSERVATIVE 8 7. EXTREMELY CONSERVATIVE 77 8. DK 15 9. NA 1083 0. Inap, 9 in G3a; 8-9 in G3d; 1994 cross section ============================== VAR 923519 92PRE:G4.DISPLAY MORAL STANDARDS COLUMNS 1682 - 1682 NUMERIC MISSING 0 OR GE 8 G4. Do you think people who run for high public office should display higher moral standards in their personal life than does the average citizen? ------------------------------------------------------------ 456 1. YES 279 5. NO 15 8. DK 7 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923520 92PRE:G5a.TRUE AMERICAN-OWN EFFORT COLUMNS 1683 - 1683 NUMERIC MISSING 0 OR GE 8 G5. (RB, P. 7) Some people say that there are certain qualities that make a person a true American. Others say that there isn't anything that makes one person more American than another. I'm going to read some of the things that have been mentioned. For each of the following, tell me how important you think it is in making someone a true American -- extremely important, very (important), somewhat (important), or not at all important. G5a. Trying to get ahead on your own effort? ------------------------------------------------------------ 251 1. EXTREMELY IMPORTANT 352 2. VERY IMPORTANT 103 3. SOMEWHAT IMPORTANT 45 4. NOT AT ALL IMPORTANT 2 8. DK 4 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923521 92PRE:G5b.TRUE AMERICAN-BELIEF IN GOD COLUMNS 1684 - 1684 NUMERIC MISSING 0 OR GE 8 G5b. (How about) believing in God? ------------------------------------------------------------ 281 1. EXTREMELY IMPORTANT 210 2. VERY IMPORTANT 123 3. SOMEWHAT IMPORTANT 138 4. NOT AT ALL IMPORTANT 8. DK 4 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923522 92PRE:G5c.TRUE AMERICAN-TREAT EQUALLY COLUMNS 1685 - 1685 NUMERIC MISSING 0 OR GE 8 G5c. Treating people of all races and backgrounds equally? ------------------------------------------------------- 433 1. EXTREMELY IMPORTANT 273 2. VERY IMPORTANT 34 3. SOMEWHAT IMPORTANT 13 4. NOT AT ALL IMPORTANT 8. DK 4 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923523 92PRE:G5d.TRUE AMERICAN-SPEAK ENGLISH COLUMNS 1686 - 1686 NUMERIC MISSING 0 OR GE 8 G5d. Speaking English? ------------------------------------------------------- 230 1. EXTREMELY IMPORTANT 256 2. VERY IMPORTANT 180 3. SOMEWHAT IMPORTANT 85 4. NOT AT ALL IMPORTANT 1 8. DK 4 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923524 92PRE:G6.DISTINCT CULTURES/BLEND COLUMNS 1687 - 1687 NUMERIC MISSING 0 OR GE 8 G6. (RB, P. 8) Some people say that it is better for America if different racial and ethnic groups maintain their distinct cultures. Others say that it is better if groups change so that they blend into the larger society as in the idea of a melting pot. Which of these positions comes closer to your own opinion: Racial and ethnic groups should maintain their distinct cultures, or groups should change so that they blend into the larger society? ------------------------------------------------------------ 240 1. GROUPS SHOULD MAINTAIN THEIR DISTINCT CULTURES 138 3. NEITHER/BOTH, ETC. (VOLUNTEERED) 361 5. GROUPS SHOULD CHANGE AND BLEND INTO THE LARGER SOCIETY 10 8. DK 7 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923525 92PRE:G7.MILITARY SERVICE VIETNAM COLUMNS 1688 - 1688 NUMERIC MISSING 0 OR GE 8 G7. Do you think that most men who tried to avoid military service during the Vietnam War should have served regardless of their personal beliefs? ------------------------------------------------------------ 366 1. YES, SHOULD HAVE SERVED 356 2. NO, NEED NOT HAVE SERVED 29 8. DK 6 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923526 92PRE:H1.RIGHT/WRONG DIRECTION COLUMNS 1689 - 1689 NUMERIC MISSING 0 OR GE 8 H1. Do you feel things in this country are generally going in the right direction, or do you feel things have pretty seriously gotten off on the wrong track? ----------------------------------------------------------- 129 1. RIGHT DIRECTION 600 5. WRONG TRACK 28 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923527 92PRE:H2.UNEMPLOYMENT BETTER/WORSE COLUMNS 1690 - 1690 NUMERIC MISSING 0 OR GE 8 H2. Would you say that over the past year, the level of unemployment in the country has gotten better, stayed about the same, or gotten worse? ----------------------------------------------------------- 23 1. BETTER 142 3. STAYED SAME 584 5. WORSE 10 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923528 92PRE:H2a/b.UNEMPLOY MUCH BETTER/WORSE COLUMNS 1691 - 1691 NUMERIC MISSING 0 OR GE 8 H2a. Would you say much better or somewhat better? H2b. Would you say much worse or somewhat worse? --------------------------------------------------- 2 1. MUCH BETTER 21 2. SOMEWHAT BETTER 142 3. Same; 3 in H2 254 4. SOMEWHAT WORSE 329 5. MUCH WORSE 1 8. DK 9. NA 1046 0. Inap, 8-9 in H2; 1994 cross section ============================== VAR 923529 92PRE:H3.INFLATION BETTER/WORSE COLUMNS 1692 - 1692 NUMERIC MISSING 0 OR GE 8 H3. Would you say that over the past year, inflation has gotten better, stayed about the same, or gotten worse? --------------------------------------------------------- 56 1. BETTER 305 3. STAYED SAME 385 5. WORSE 12 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923530 92PRE:H3a/b.INFLATION MUCH BETTER/WORS COLUMNS 1693 - 1693 NUMERIC MISSING 0 OR GE 8 H3a. Would you say much better or somewhat better? H3b. Would you say much worse or somewhat worse? --------------------------------------------------- 11 1. MUCH BETTER 45 2. SOMEWHAT BETTER 305 3. Same; 3 in H3 210 4. SOMEWHAT WORSE 175 5. MUCH WORSE 8. DK 9. NA 1048 0. Inap, 8-9 in H3; 1994 cross section ============================== VAR 923531 92PRE:H4.ECONOMY BETTER/WORSE COLUMNS 1694 - 1694 NUMERIC MISSING 0 OR GE 8 H4. How about the economy. Would you say that over the past year the nation's economy has gotten better, stayed about the same, or gotten worse? -------------------------------------------------------- 35 1. GOTTEN BETTER 176 3. STAYED THE SAME 536 5. GOTTEN WORSE 12 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923532 92PRE:H4a/b.ECONOMY MUCH BETTER/WORSE COLUMNS 1695 - 1695 NUMERIC MISSING 0 OR GE 8 H4a. Would you say much better or somewhat better? H4b. Would you say much worse or somewhat worse? --------------------------------------------------- 2 1. MUCH BETTER 33 2. SOMEWHAT BETTER 176 3. Same; 3 in H4 257 4. SOMEWHAT WORSE 279 5. MUCH WORSE 8. DK 9. NA 1048 0. Inap, 8-9 in H4; 1994 cross section ============================== VAR 923533 92PRE:H5.ECON SINCE JULY BETTER/WORSE COLUMNS 1696 - 1696 NUMERIC MISSING 0 OR GE 8 H5. What about in the last few months, since about the 4th of July. Would you say that the nation's economy has gotten better, stayed about the same, or gotten worse? ----------------------------------------------------------- 79 1. GOTTEN BETTER 413 3. STAYED THE SAME 248 5. GOTTEN WORSE 14 8. DK 2 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923534 92PRE:H5a/b.ECON S JULY MUCH BET/WORSE COLUMNS 1697 - 1697 NUMERIC MISSING 0 OR GE 8 H5a. Would you say much better or somewhat better? H5b. Would you say much worse or somewhat worse? --------------------------------------------------- 5 1. MUCH BETTER 73 2. SOMEWHAT BETTER 413 3. Same; 3 in H5 138 4. SOMEWHAT WORSE 110 5. MUCH WORSE 8. DK 1 9. NA 1055 0. Inap, 3-4, 6-7 in V3011; 8-9 in H5; 1994 cross section ============================== VAR 923535 92PRE:H6.ECON LAST 4 YRS BETTER/WORSE COLUMNS 1698 - 1698 NUMERIC MISSING 0 OR GE 8 H6. Compared to four years ago, would you say that the nation's economy has gotten better, stayed about the same, or gotten worse? ---------------------------------------------------------- 34 1. GOTTEN BETTER 97 3. STAYED THE SAME 609 5. GOTTEN WORSE 15 8. DK 2 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923536 92PRE:H6a/b.ECON LST 4 YRS MUCH BET/WOR COLUMNS 1699 - 1699 NUMERIC MISSING 0 OR GE 8 H6a. Would you say much better or somewhat better? H6b. Would you say much worse or somewhat worse? --------------------------------------------------- 5 1. MUCH BETTER 29 2. SOMEWHAT BETTER 97 3. Same; 3 in H6 237 4. SOMEWHAT WORSE 373 5. MUCH WORSE 8. DK 9. NA 1055 0. Inap, 3-4, 6-7 in V3011; 8-9 in H6; 1994 cross section ============================== VAR 923537 92PRE:H7.ECON NEXT YEAR BETTER/WORSE COLUMNS 1700 - 1700 NUMERIC MISSING 0 OR GE 8 H7. What about the next 12 months? Do you expect the national economy to get better, get worse, or stay about the same? ------------------------------------------------------------ 233 1. GET BETTER 357 3. STAY THE SAME 125 5. GET WORSE 42 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923538 92PRE:H8.U.S.IN WORLD ECON BETTER/WORSE COLUMNS 1701 - 1701 NUMERIC MISSING 0 OR GE 8 H8. What about America's ability to compete in the world economy? Over the past year has that gotten better, stayed the same, or gotten worse? ---------------------------------------------------------- 114 1. BETTER 274 3. STAYED SAME 327 5. WORSE 44 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923539 92PRE:H8a/b.U.S. IN WORLD EC MUCH BET/W COLUMNS 1702 - 1702 NUMERIC MISSING 0 OR GE 8 H8a. Would you say much better or somewhat better? H8b. Would you say much worse or somewhat worse? --------------------------------------------------- 12 1. MUCH BETTER 102 2. SOMEWHAT BETTER 274 3. Same; 3 in H8 219 4. SOMEWHAT WORSE 108 5. MUCH WORSE 8. DK 1 9. NA 1080 0. Inap, 8-9 in H8; 1994 cross section ============================== VAR 923540 92PRE:H9.STANDARD OF LIVING IN 20 YEARS COLUMNS 1703 - 1703 NUMERIC MISSING 0 OR GE 8 H9. Do you think that twenty years from now, the standard of living for the people who are just children now will be better, about the same, or worse than it is today? ---------------------------------------------------------- 236 1. BETTER 138 3. SAME 341 5. WORSE 41 8. DK 3 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923541 92PRE:H10.GOVT ECON POLICIES BETTER/WOR COLUMNS 1704 - 1704 NUMERIC MISSING 0 OR GE 8 H10. Over the past year would you say that the economic policies of the federal government have made the nation's economy better, worse, or haven't they made much difference either way? ----------------------------------------------------------- 28 1. BETTER 385 3. HAVEN'T MADE MUCH DIFFERENCE 318 5. WORSE 27 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923542 92PRE:H10a/b.GOVT ECON POL MUCH BET/WOR COLUMNS 1705 - 1705 NUMERIC MISSING 0 OR GE 8 H10a. Would you say much better or somewhat better? H10b. Would you say much worse or somewhat worse? ---------------------------------------------------- 4 1. MUCH BETTER 24 2. SOMEWHAT BETTER 385 3. Same; 3 in H10 203 4. SOMEWHAT WORSE 115 5. MUCH WORSE 8. DK 9. NA 1063 0. Inap, 8-9 in H10; 1994 cross section ============================== VAR 923543 92PRE:H11.ECON COND IN STATE BETTER/WOR COLUMNS 1706 - 1706 NUMERIC MISSING 0 OR GE 8 H11. What about the economic conditions in this state. Would you say that over the past year economic conditions in this state have gotten better, stayed about the same, or gotten worse? ------------------------------------------------------------ 53 1. GOTTEN BETTER 258 3. STAYED THE SAME 420 5. GOTTEN WORSE 28 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923544 92PRE:H11a/b.ECON COND IN ST MUCH BET/W COLUMNS 1707 - 1707 NUMERIC MISSING 0 OR GE 8 H11a. Would you say much better or somewhat better? H11b. Would you say much worse or somewhat worse? ---------------------------------------------------- 7 1. MUCH BETTER 46 2. SOMEWHAT BETTER 258 3. Same; 3 in H11 209 4. SOMEWHAT WORSE 211 5. MUCH WORSE 8. DK 9. NA 1064 0. Inap, 8-9 in H11; 1994 cross section ============================== VAR 923545 92PRE:H12a.PARTY TO HANDLE ECONOMY COLUMNS 1708 - 1708 NUMERIC MISSING 0 OR GE 8 H12a. (RB, P. 9) Which party do you think would do a better job of handling the nation's economy, the Democrats, the Republicans, or wouldn't there be much difference between them? ----------------------------------------------------------- 258 1. DEMOCRATS 177 2. REPUBLICANS 295 3. NO DIFFERENCE 4. PEROT (VOL) 12 7. NEITHER (VOL) 16 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923546 92PRE:H12b.PARTY TO HANDLE FOREIGN AFF COLUMNS 1709 - 1709 NUMERIC MISSING 0 OR GE 8 H12b. Which party do you think would do a better job of handling foreign affairs? -------------------------------------------------------- 143 1. DEMOCRATS 364 2. REPUBLICANS 218 3. NO DIFFERENCE 4. PEROT (VOL) 9 7. NEITHER (VOL) 23 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923547 92PRE:H12c.PARTY TO SOLVE POVERTY COLUMNS 1710 - 1710 NUMERIC MISSING 0 OR GE 8 H12c. Which party do you think would do a better job of handling solving the problem of poverty? -------------------------------------------------------- 376 1. DEMOCRATS 98 2. REPUBLICANS 240 3. NO DIFFERENCE 4. PEROT (VOL) 25 7. NEITHER (VOL) 18 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923548 92PRE:H12d.PARTY MK HEALTH CARE AFFORD COLUMNS 1711 - 1711 NUMERIC MISSING 0 OR GE 8 H12d. Which party do you think would do a better job of handling making health care more affordable? -------------------------------------------------------- 394 1. DEMOCRATS 99 2. REPUBLICANS 220 3. NO DIFFERENCE 4. PEROT (VOL) 24 7. NEITHER (VOL) 21 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923549 92PRE:H13.PARTY TO CUT SOCIAL SECURITY COLUMNS 1712 - 1712 NUMERIC MISSING 0 OR GE 8 H13. (RB, STILL P.9) Which party is more likely to cut social security benefits; the Democrats, the Republicans, or wouldn't there be much difference between them? ------------------------------------------------------------ 73 1. DEMOCRATS 346 3. NOT MUCH DIFFERENCE 307 5. REPUBLICANS 30 8. DK 3 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923550 92PRE:H14.PARTY TO RAISE TAXES COLUMNS 1713 - 1713 NUMERIC MISSING 0 OR GE 8 H14. (RB, STILL P. 9) Which party is more likely to raise taxes; the Democrats, the Republicans or wouldn't there be much difference between them? ---------------------------------------------------------- 284 1. DEMOCRATS 322 3. NOT MUCH DIFFERENCE 139 5. REPUBLICANS 13 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923551 92PRE:H15.BLAME FOR FEDERAL DEFICIT COLUMNS 1714 - 1714 NUMERIC MISSING 0 OR GE 8 H15. Who do you think is more to blame for the federal budget deficit, the Bush administration or the Democratic Congress? --------------------------------------------------------- 261 1. BUSH ADMINISTRATION 282 2. DEMOCRATIC CONGRESS 157 3. BOTH (VOL) 1 7. Reagan (volunteered) 49 8. DK 9 9. NA 1036 0. INAP, 1994 cross section There are no variables in range 3552-3600 ============================== VAR 923601 92PRE:J1.U.S. WEAKER COLUMNS 1715 - 1715 NUMERIC MISSING 0 OR GE 8 J1. During the past year, would you say that the United States' position in the world has grown weaker, stayed about the same, or has it grown stronger? ------------------------------------------------------------ 254 1. WEAKER 260 3. STAYED THE SAME 230 5. STRONGER 13 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923602 92PRE:J2.PARTY TO KEEP OUT OF WAR COLUMNS 1716 - 1716 NUMERIC MISSING 0 OR GE 8 J2. Looking ahead, do you think the problem of keeping out of war would be handled better in the next four years by the Republicans, by the Democrats, or about the same by both? ------------------------------------------------------------ 166 1. BETTER BY REPUBLICANS 435 3. SAME BY BOTH 127 5. BETTER BY DEMOCRATS 31 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923603 92PRE:J3.U.S. STRONGEST MILITARY POWER COLUMNS 1717 - 1717 NUMERIC MISSING 0 OR GE 8 J3. (RB, P. 10) Some people say the U.S. should maintain its position as the world's strongest military power even if it means continuing high defense spending. Would you say that you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, disagree strongly? ------------------------------------------------------------ 167 1. AGREE STRONGLY 291 2. AGREE SOMEWHAT 81 3. NEITHER AGREE OR DISAGREE 154 4. DISAGREE SOMEWHAT 62 5. DISAGREE STRONGLY 3 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923604 92PRE:J4.STAY OUT OF WORLD'S PROBLEMS COLUMNS 1718 - 1718 NUMERIC MISSING 0 OR GE 8 J4. I am going to read you a statement about U.S. foreign policy and I would like you to tell me whether you agree or disagree. This country would be better off if we just stayed home and did not concern ourselves with problems in other parts of the world. ----------------------------------------------------------- 183 1. AGREE 557 5. DISAGREE 18 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923605 92PRE:J5.USE FORCE TO SOLVE PROBLEMS COLUMNS 1719 - 1719 NUMERIC MISSING 0 OR GE 8 J5. (RB, P. 11) In the future, how willing should the United States be to use military force to solve international problems... extremely willing, very willing, somewhat willing, not very willing, or never willing? ---------------------------------------------------------- 39 1. EXTREMELY WILLING 138 2. VERY WILLING 396 3. SOMEWHAT WILLING 151 4. NOT VERY WILLING 22 5. NEVER WILLING 10 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923606 92PRE:J6.GETTING INTO NUCLEAR WAR COLUMNS 1720 - 1720 NUMERIC MISSING 0 OR GE 8 J6. How worried are you about our country getting into a nuclear war at this time? Are you very worried, somewhat worried, or not worried at all? --------------------------------------------------------- 93 1. VERY WORRIED 262 3. SOMEWHAT WORRIED 401 5. NOT WORRIED 3 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923607 92PRE:J7.GETTING INTO CONVENTIONAL WAR COLUMNS 1721 - 1721 NUMERIC MISSING 0 OR GE 8 J7. How worried are you about our country getting into a conventional war at this time, one in which nuclear weapons are not used? Are you very worried, somewhat worried, or not worried at all? ----------------------------------------------------------- 80 1. VERY WORRIED 341 3. SOMEWHAT WORRIED 334 5. NOT WORRIED 4 8. DK 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923608 92PRE:J8.ATTITUDE TO PERSIAN GULF WAR COLUMNS 1722 - 1722 NUMERIC MISSING 0 OR GE 8 J8. Now we want to ask you about the Persian Gulf war that took place in early 1991. Do you think we did the right thing in sending U.S. military forces to the Persian Gulf or should we have stayed out? ------------------------------------------------------------ 570 1. DID THE RIGHT THING 21 3. DEPENDS (VOL.) 137 5. SHOULD HAVE STAYED OUT 8 7. OTHER - SPECIFY 21 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923609 92PRE:J9.ANY PARTY IN FAVOR-GULF WAR COLUMNS 1723 - 1723 NUMERIC MISSING 0 OR GE 8 J9. Before the war actually started, do you think one political party was more in favor of using military force in the Persian Gulf than the other party was, or do you think they were about equal in their support for using force? ------------------------------------------------------------ 240 1. ONE PARTY MORE 453 5. ABOUT EQUAL 61 8. DK 2 9. NA 1038 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923610 92PRE:J9a.PARTY SUPPORTING FORCE MORE COLUMNS 1724 - 1724 NUMERIC MISSING 0 OR GE 8 J9a. (Which party supported the use of force more?) ---------------------------------------------------- 6 1. DEMOCRATIC 232 5. REPUBLICAN 2 8. DK 9. NA 1555 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J9; 1994 cross section ============================== VAR 923611 92PRE:J10.INTERVIEWER CHECKPOINT COLUMNS 1725 - 1725 NUMERIC MISSING 0 NOTE: J10-J11b presented difficult problems for interviewers and respondents alike. The intended reference was the incumbent of the 102nd Congress running for re-election as the district was constituted for the 103 rd Congress. Thus, many respondents were asked to evaluate the performance of an incumbent who was not their Representative in the 102nd Congress. Second, primaries were not held in FL, AZ, CT,NH, LA, MA MN NY, WA, WI until after the start of interviewing on September 1, so in many cases names of candidates were not decided at the start of interviewing. The candidate names were given to interviewers as soon as they became available. J10. INTERVIEWER CHECKPOINT ------------------------------------------------------------ 568 1. J11 PRE-EDITED WITH NAME #33 OR #34 FROM CANDIDATE LIST 191 2. NO NAME #33 OR #34 IN CANDIDATE LIST 1036 0. INAP, 1994 cross section ============================== VAR 923612 92PRE:J11.REP VOTE ON FORCE/PERS GULF COLUMNS 1726 - 1726 NUMERIC MISSING 0 OR GE 9 J11. Do you remember how (_____________________) who is running (NAME #33, #34) for re-election in this district, voted on the use of force in the Persian Gulf? --------------------------------------------------------- 76 1. YES 389 5. NO/DON'T REMEMBER/DK [DO NOT PROBE] 103 9. NA 1227 0. Inap, 2 in J10; 1994 cross section ============================== VAR 923613 92PRE:J11a.REP VOTE FOR/AGST FORCE COLUMNS 1727 - 1727 NUMERIC MISSING 0 OR GE 8 J11a. Did (he/she) vote for or against the use of force? --------------------------------------------------------- 48 1. FOR 27 5. AGAINST 1 8. DK 9. NA 1719 0. Inap, 2 in J10; 5, 8-9 in J11; 1994 cross section ============================== VAR 923614 92PRE:J11b.GUESS REP VOTE F/A FORCE COLUMNS 1728 - 1728 NUMERIC MISSING 0 OR GE 8 J11b. Would you guess that (he/she) probably voted for or against the use of force? ---------------------------------------------------------- 186 1. FOR 68 5. AGAINST 126 8. DK 10 9. NA 1406 0. Inap, 2 in J10; 1, 8-9 in J11; 1994 cross section ============================== VAR 923615 92PRE:J12.APPR/DISAPPR BUSH PERS GULF COLUMNS 1729 - 1729 NUMERIC MISSING 0 OR GE 8 J12. Do you approve or disapprove of the way George Bush handled the war in the Persian Gulf? --------------------------------------------------------- 502 1. APPROVE 230 5. DISAPPROVE 23 8. DK 4 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923616 92PRE:J12a/b.STR APP/DISAP BUSH PERS GLF COLUMNS 1730 - 1730 NUMERIC MISSING 0 OR GE 8 J12a. Do you approve strongly or not strongly? J12b. Do you disapprove strongly or not strongly? -------------------------------------------------- 295 1. APPROVE STRONGLY 207 2. APPROVE NOT STRONGLY 82 4. DISAPPROVE NOT STRONGLY 144 5. DISAPPROVE STRONGLY 1 8. DK 2 9. NA 1063 0. Inap, 8-9 in J12; 1994 cross section ============================== VAR 923617 92PRE:J13.CONSEQ WAR GOOD COLUMNS 1731 - 1731 NUMERIC MISSING 0 OR GE 8 J13. As you look back on the Persian Gulf War now, do you think that anything good came out of it for the United States? ---------------------------------------------------------- 419 1. YES 306 5. NO 29 8. DK 3 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923618 92PRE:J13a.CONSEQ WAR GOOD MENTION 1 COLUMNS 1732 - 1733 NUMERIC MISSING 0 OR GE 98 J13a(1). What did you have in mind? (5 MENTIONS) ------------------------------------------------------------ NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) Good Effects 28 11. National Unity--united the country; showed we can pull together in a crisis/will support our troops in war 17 12. National Confidence--raised our self- esteem/self-confidence; showed we are willing to stand up for ourselves/not willing to be pushed around; put to rest the self-doubts/bad feelings over the Viet Nam war. 32 13. Patriotism--increased pride in the nation/flag; made people proud to be American 1 14. Made people (more) aware of international situation(s) 3 16. U.S. Troops--low U.S. casualties; brought soldiers back safely; troops performed well; good leaders emerged during the war 2 17. The Military--raised the morale/pride of our armed forces; increased respect for the military/veterans; gave the Viet Nam veterans the approval/recognition they deserve 11 18. Military Victory--we won; proved we are capable of winning a war; showed that we could go into a war to win; demonstrated that we could win a war quickly/with minimum casualties 20 19. Military Capability--successfully tested our military capability; proved our high technology weapons would work; proved that a volunteer army could fight/defend the U.S.; raised confidence in our defense systems/ program; gave us experience in fighting against Soviet equipment/strategies; gained experience in mobilization and deployment of military forces. 79 21. Respect--other nations have more respect for us; it made the U.S. well-liked; demonstrated U.S. leadership in the world; showed the world that we are powerful; strengthened our position in the world; will make other countries think twice before tangling with us 24 22. Resolution--showed we are willing to back up our words with actions/that we mean what we say/that we keep our promises 42 23. New World Order--showed we will stand up to aggression/will protect our interests/are willing to fight for what is right; shows we will protect weaker countries from aggression by big countries/that we will defend freedom and democracy throughout the world; brought the U.S. recognition as a peace-keeping nation/force; might deter other dictators from trying the same thing in the future; increased the chances/ opportunity for world peace 14 24. Collective Security--proved that the nations of the world could work together for the good of mankind; strengthened the United Nations as a force for peace 25. Contributed to ending cold war/breakup of Soviet Union/stopping spread of communism; improved relations with Russia 9 31. U.S. Economy--strengthened/helped the economy; down/ jobs opened up 50 32. Oil--secured our oil supply; we can get the oil we need/more oil now; lowered the price of oil/gasoline; kept Saddam Hussein from taking control of the world's oil supply 8 41. Mideast Stability--increased the stability/prospects for peace in the mideast. 16 42. Relations with Mideast Nations--improved our relations with Israel/Arab countries/Gulf states 13 43. Kuwait--helped/liberated Kuwait; drove Iraq/Saddam Hussein from Kuwait 33 44. Iraq--defeated Iraq; destroyed Saddam Hussein's military strength/ability to make nuclear or biological weapons; stopped Iraq/Saddam Hussein from taking over other countries; cut Iraq/Saddam Hussein down to size 10 49. Other Good Effects Miscellaneous Responses (Use for both F9a and F10a) 2 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 2 97. Other Miscellaneous Response 2 98. DK; haven't really thought about it (first mention only) 1 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 1376 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J13; no further mention; 1994 cross section ============================== VAR 923619 92PRE:J13a.CONSEQ WAR GOOD MENTION 2 COLUMNS 1734 - 1735 NUMERIC MISSING 0 OR GE 98 J13a(2). What did you have in mind? (5 MENTIONS) ------------------------------------------------------------ NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) Good Effects 13 11. National Unity--united the country; showed we can pull together in a crisis/will support our troops in war 11 12. National Confidence--raised our self- esteem/self-confidence; showed we are willing to stand up for ourselves/not willing to be pushed around; put to rest the self-doubts/bad feelings over the Viet Nam war. 15 13. Patriotism--increased pride in the nation/flag; made people proud to be American 14. Made people (more) aware of international situation(s) 2 16. U.S. Troops--low U.S. casualties; brought soldiers back safely; troops performed well; good leaders emerged during the war 3 17. The Military--raised the morale/pride of our armed forces; increased respect for the military/veterans; gave the Viet Nam veterans the approval/recognition they deserve 5 18. Military Victory--we won; proved we are capable of winning a war; showed that we could go into a war to win; demonstrated that we could win a war quickly/with minimum casualties 10 19. Military Capability--successfully tested our military capability; proved our high technology weapons would work; proved that a volunteer army could fight/defend the U.S.; raised confidence in our defense systems/ program; gave us experience in fighting against Soviet equipment/strategies; gained experience in mobilization and deployment of military forces. 24 21. Respect--other nations have more respect for us; it made the U.S. well-liked; demonstrated U.S. leadership in the world; showed the world that we are powerful; strengthened our position in the world; will make other countries think twice before tangling with us 13 22. Resolution--showed we are willing to back up our words with actions/that we mean what we say/that we keep our promises 18 23. New World Order--showed we will stand up to aggression/will protect our interests/are willing to fight for what is right; shows we will protect weaker countries from aggression by big countries/that we will defend freedom and democracy throughout the world; brought the U.S. recognition as a peace-keeping nation/force; might deter other dictators from trying the same thing in the future; increased the chances/ opportunity for world peace 7 24. Collective Security--proved that the nations of the world could work together for the good of mankind; strengthened the United Nations as a force for peace 1 25. Contributed to ending cold war/breakup of Soviet Union/stopping spread of communism; improved relations with Russia 1 31. U.S. Economy--strengthened/helped the economy; down/ jobs opened up 18 32. Oil--secured our oil supply; we can get the oil we need/more oil now; lowered the price of oil/gasoline; kept Saddam Hussein from taking control of the world's oil supply 5 41. Mideast Stability--increased the stability/prospects for peace in the mideast. 5 42. Relations with Mideast Nations--improved our relations with Israel/Arab countries/Gulf states 14 43. Kuwait--helped/liberated Kuwait; drove Iraq/Saddam Hussein from Kuwait 13 44. Iraq--defeated Iraq; destroyed Saddam Hussein's military strength/ability to make nuclear or biological weapons; stopped Iraq/Saddam Hussein from taking over other countries; cut Iraq/Saddam Hussein down to size 5 49. Other Good Effects Miscellaneous Responses (Use for both F9a and F10a) 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 1 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 1613 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J13; no further mention; 1994 cross section ============================== VAR 923620 92PRE:J13a.CONSEQ WAR GOOD MENTION 3 COLUMNS 1736 - 1737 NUMERIC MISSING 0 OR GE 98 J13a(3). What did you have in mind? (5 MENTIONS) ------------------------------------------------------------ NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) Good Effects 1 11. National Unity--united the country; showed we can pull together in a crisis/will support our troops in war 12. National Confidence--raised our self- esteem/self-confidence; showed we are willing to stand up for ourselves/not willing to be pushed around; put to rest the self-doubts/bad feelings over the Viet Nam war. 2 13. Patriotism--increased pride in the nation/flag; made people proud to be American 14. Made people (more) aware of international situation(s) 1 16. U.S. Troops--low U.S. casualties; brought soldiers back safely; troops performed well; good leaders emerged during the war 1 17. The Military--raised the morale/pride of our armed forces; increased respect for the military/veterans; gave the Viet Nam veterans the approval/recognition they deserve 1 18. Military Victory--we won; proved we are capable of winning a war; showed that we could go into a war to win; demonstrated that we could win a war quickly/with minimum casualties 1 19. Military Capability--successfully tested our military capability; proved our high technology weapons would work; proved that a volunteer army could fight/defend the U.S.; raised confidence in our defense systems/ program; gave us experience in fighting against Soviet equipment/strategies; gained experience in mobilization and deployment of military forces. 2 21. Respect--other nations have more respect for us; it made the U.S. well-liked; demonstrated U.S. leadership in the world; showed the world that we are powerful; strengthened our position in the world; will make other countries think twice before tangling with us 4 22. Resolution--showed we are willing to back up our words with actions/that we mean what we say/that we keep our promises 5 23. New World Order--showed we will stand up to aggression/will protect our interests/are willing to fight for what is right; shows we will protect weaker countries from aggression by big countries/that we will defend freedom and democracy throughout the world; brought the U.S. recognition as a peace-keeping nation/force; might deter other dictators from trying the same thing in the future; increased the chances/ opportunity for world peace 1 24. Collective Security--proved that the nations of the world could work together for the good of mankind; strengthened the United Nations as a force for peace 1 25. Contributed to ending cold war/breakup of Soviet Union/stopping spread of communism; improved relations with Russia 4 31. U.S. Economy--strengthened/helped the economy; down/ jobs opened up 3 32. Oil--secured our oil supply; we can get the oil we need/more oil now; lowered the price of oil/gasoline; kept Saddam Hussein from taking control of the world's oil supply 2 41. Mideast Stability--increased the stability/prospects for peace in the mideast. 2 42. Relations with Mideast Nations--improved our relations with Israel/Arab countries/Gulf states 4 43. Kuwait--helped/liberated Kuwait; drove Iraq/Saddam Hussein from Kuwait 2 44. Iraq--defeated Iraq; destroyed Saddam Hussein's military strength/ability to make nuclear or biological weapons; stopped Iraq/Saddam Hussein from taking over other countries; cut Iraq/Saddam Hussein down to size 1 49. Other Good Effects Miscellaneous Responses (Use for both F9a and F10a) 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 1759 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J13; no further mention; 1994 cross section ============================== VAR 923621 92PRE:J13a.CONSEQ WAR GOOD MENTION 4 COLUMNS 1738 - 1739 NUMERIC MISSING 0 OR GE 98 J13a(4). What did you have in mind? (5 MENTIONS) ------------------------------------------------------------ NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) Good Effects 11. National Unity--united the country; showed we can pull together in a crisis/will support our troops in war 12. National Confidence--raised our self- esteem/self-confidence; showed we are willing to stand up for ourselves/not willing to be pushed around; put to rest the self-doubts/bad feelings over the Viet Nam war. 13. Patriotism--increased pride in the nation/flag; made people proud to be American 14. Made people (more) aware of international situation(s) 16. U.S. Troops--low U.S. casualties; brought soldiers back safely; troops performed well; good leaders emerged during the war 1 17. The Military--raised the morale/pride of our armed forces; increased respect for the military/veterans; gave the Viet Nam veterans the approval/recognition they deserve 18. Military Victory--we won; proved we are capable of winning a war; showed that we could go into a war to win; demonstrated that we could win a war quickly/with minimum casualties 19. Military Capability--successfully tested our military capability; proved our high technology weapons would work; proved that a volunteer army could fight/defend the U.S.; raised confidence in our defense systems/ program; gave us experience in fighting against Soviet equipment/strategies; gained experience in mobilization and deployment of military forces. 2 21. Respect--other nations have more respect for us; it made the U.S. well-liked; demonstrated U.S. leadership in the world; showed the world that we are powerful; strengthened our position in the world; will make other countries think twice before tangling with us 22. Resolution--showed we are willing to back up our words with actions/that we mean what we say/that we keep our promises 1 23. New World Order--showed we will stand up to aggression/will protect our interests/are willing to fight for what is right; shows we will protect weaker countries from aggression by big countries/that we will defend freedom and democracy throughout the world; brought the U.S. recognition as a peace-keeping nation/force; might deter other dictators from trying the same thing in the future; increased the chances/ opportunity for world peace 1 24. Collective Security--proved that the nations of the world could work together for the good of mankind; strengthened the United Nations as a force for peace 25. Contributed to ending cold war/breakup of Soviet Union/stopping spread of communism; improved relations with Russia 31. U.S. Economy--strengthened/helped the economy; down/ jobs opened up 1 32. Oil--secured our oil supply; we can get the oil we need/more oil now; lowered the price of oil/gasoline; kept Saddam Hussein from taking control of the world's oil supply 41. Mideast Stability--increased the stability/prospects for peace in the mideast. 1 42. Relations with Mideast Nations--improved our relations with Israel/Arab countries/Gulf states 43. Kuwait--helped/liberated Kuwait; drove Iraq/Saddam Hussein from Kuwait 1 44. Iraq--defeated Iraq; destroyed Saddam Hussein's military strength/ability to make nuclear or biological weapons; stopped Iraq/Saddam Hussein from taking over other countries; cut Iraq/Saddam Hussein down to size 49. Other Good Effects Miscellaneous Responses (Use for both F9a and F10a) 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 1787 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J13; no further mention; 1994 cross section ============================== VAR 923622 92PRE:J13a.CONSEQ WAR GOOD MENTION 5 COLUMNS 1740 - 1741 NUMERIC MISSING 0 OR GE 98 J13a(5). What did you have in mind? (5 MENTIONS) ------------------------------------------------------------ NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) Good Effects 11. National Unity--united the country; showed we can pull together in a crisis/will support our troops in war 12. National Confidence--raised our self- esteem/self-confidence; showed we are willing to stand up for ourselves/not willing to be pushed around; put to rest the self-doubts/bad feelings over the Viet Nam war. 1 13. Patriotism--increased pride in the nation/flag; made people proud to be American 14. Made people (more) aware of international situation(s) 16. U.S. Troops--low U.S. casualties; brought soldiers back safely; troops performed well; good leaders emerged during the war 17. The Military--raised the morale/pride of our armed forces; increased respect for the military/veterans; gave the Viet Nam veterans the approval/recognition they deserve 18. Military Victory--we won; proved we are capable of winning a war; showed that we could go into a war to win; demonstrated that we could win a war quickly/with minimum casualties 19. Military Capability--successfully tested our military capability; proved our high technology weapons would work; proved that a volunteer army could fight/defend the U.S.; raised confidence in our defense systems/ program; gave us experience in fighting against Soviet equipment/strategies; gained experience in mobilization and deployment of military forces. 21. Respect--other nations have more respect for us; it made the U.S. well-liked; demonstrated U.S. leadership in the world; showed the world that we are powerful; strengthened our position in the world; will make other countries think twice before tangling with us 22. Resolution--showed we are willing to back up our words with actions/that we mean what we say/that we keep our promises 23. New World Order--showed we will stand up to aggression/will protect our interests/are willing to fight for what is right; shows we will protect weaker countries from aggression by big countries/that we will defend freedom and democracy throughout the world; brought the U.S. recognition as a peace-keeping nation/force; might deter other dictators from trying the same thing in the future; increased the chances/ opportunity for world peace 24. Collective Security--proved that the nations of the world could work together for the good of mankind; strengthened the United Nations as a force for peace 25. Contributed to ending cold war/breakup of Soviet Union/stopping spread of communism; improved relations with Russia 31. U.S. Economy--strengthened/helped the economy; down/ jobs opened up 32. Oil--secured our oil supply; we can get the oil we need/more oil now; lowered the price of oil/gasoline; kept Saddam Hussein from taking control of the world's oil supply 41. Mideast Stability--increased the stability/prospects for peace in the mideast. 42. Relations with Mideast Nations--improved our relations with Israel/Arab countries/Gulf states 43. Kuwait--helped/liberated Kuwait; drove Iraq/Saddam Hussein from Kuwait 1 44. Iraq--defeated Iraq; destroyed Saddam Hussein's military strength/ability to make nuclear or biological weapons; stopped Iraq/Saddam Hussein from taking over other countries; cut Iraq/Saddam Hussein down to size 1 49. Other Good Effects Miscellaneous Responses (Use for both F9a and F10a) 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 1792 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J13; no further mention; 1994 cross section ============================== VAR 923623 92PRE:J14.CONSEQ WAR BAD COLUMNS 1742 - 1742 NUMERIC MISSING 0 OR GE 8 J14. Other than losing lives, do you think anything bad came out of the war for the United States? -------------------------------------------------------- 304 1. YES 422 5. NO 28 8. DK 2 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923624 92PRE:J14a.CONSEQ WAR BAD MENTION 1 COLUMNS 1743 - 1744 NUMERIC MISSING 0 OR GE 98 J14a(1). What did you have in mind? (5 MENTIONS) ----------------------------------------------------------- NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) 5 mentions. Bad Effects 29 51. Tarnished U.S. Image (NFS)--projected a bad image of U.S. to the world/in poor countries/in the mideast; lost us the respect of other nations; generated ill will/made enemies for us in other countries 11 52. Aggressor Nation--gives us the image of being an aggressor/warmonger nation; makes us appear willing to fight for pay for anyone who has the money; makes it easier for us to use force again when faced with an international problem; might make us overconfident in our ability to get our way by use of force 3 53. International Policeman--made ourselves the international policeman; obligated ourselves to give military protection to all/other (small) countries 3 61. Foreign Deaths--a lot of innocent people in the mideast were killed, displaced or wounded; deaths in Israel from missile attacks; Iraqis killed during and after the war 7 62. Environmental Damage--burning oil wells polluting the air; oil released into the Gulf polluting water and beaches; damage done to wild fowl and sealife 2 63. War Damage--damage done to countries in the mideast; we will have to pay for/be responsible for cleaning up the damage done to Iraq/Kuwait/Israel during the war 2 64. Deepened Our Involvement--we are now more deeply involved in the politics of the mideast/in the Arab-Israeli problem 11 71. Hurt the U.S. Economy--caused a recession; people lost their jobs/can't find jobs 4 72. Energy Costs--increased the cost of oil/gasoline; didn't lower/change the cost of oil/gasoline; will world/destroyed oil wells 73. Oil Dependency--increased our dependence on (mideast) oil for energy; made us less willing to develop other sources of energy 61 74. Financial Cost--we spent a lot of money; lost a lot of supplies/armaments/equipment; need to raise taxes to pay for the war; increased our national debt 2 75. Neglected Domestic Needs--money diverted from domestic programs/needs in order to finance the war 76. Defense Spending--will encourage increased spending on defense; will lessen pressure to cut defense spending 8 77. Effect on U.S. Civilians--disrupted the lives of people called into the service/sent overseas; caused hardship for families of reservists called to active duty; created stress/emotional problems for children 11 78. Effect on U.S. Soldiers-- emotional/psychological problems caused by combat; medical problems/diseases contracted while in the Gulf; sexual assaults suffered by female soldiers 1 79. Bad effect on U.S. morale or character; caused internal divisions and/or unrest; nationalistic frenzy; distorted national goals and priorities; caused U.S. to do bad or immoral things 2 80. Military conduct of war was bad/doesn't reflect favorably on U.S.; American soldiers being killed by own forces; weapons that didn't work (properly); bad or botched military strategy 99 81. Left Saddam in Power--didn't get rid of/punish Saddam Hussein; didn't finish the job 2 82. Kuwait Not a Democracy--failure of Kuwait to establish a democratic government; repression/injustice being committed in Kuwait since the end of the war 1 83. Failed Rebellion--we encouraged Iraqis to rebel against Saddam Hussein then didn't support them/left them to fight alone; Kurdish refugee problem--all mentions 84. Troops Still in Iraq--we still have forces in Iraq; the war is not over yet 1 85. "Iraqgate"--all mentions of selling arms to/failing to restrain Iraq; diminished support for Gulf War/ confidence in government because of "Iraqgate" events 3 86. Doubts about having been told the truth about the conduct of the war/goals of the war; skepticism about motives for going to war (e.g., political play, gain economic advantages, protect oil supply) Miscellaneous Responses (Use for both F9a and F10a) 10 87. Solved No Problems--didn't resolve any of the problem in the mideast; didn't cause the countries in the mideast to unite/get along better; didn't bring peace to the mideast 13 88. Didn't Accomplish Anything (NFS)--everything about the war was bad; nothing good came from the war; nothing (good) was accomplished 7 89. Other Bad Effects 2 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 4 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 5 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 1491 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J14; no further mention; 1994 cross section ============================== VAR 923625 92PRE:J14a.CONSEQ WAR BAD MENTION 2 COLUMNS 1745 - 1746 NUMERIC MISSING 0 OR GE 98 J14a(2). What did you have in mind? (5 MENTIONS) ----------------------------------------------------------- NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) 5 mentions. Bad Effects 5 51. Tarnished U.S. Image (NFS)--projected a bad image of U.S. to the world/in poor countries/in the mideast; lost us the respect of other nations; generated ill will/made enemies for us in other countries 4 52. Aggressor Nation--gives us the image of being an aggressor/warmonger nation; makes us appear willing to fight for pay for anyone who has the money; makes it easier for us to use force again when faced with an international problem; might make us overconfident in our ability to get our way by use of force 1 53. International Policeman--made ourselves the international policeman; obligated ourselves to give military protection to all/other (small) countries 2 61. Foreign Deaths--a lot of innocent people in the mideast were killed, displaced or wounded; deaths in Israel from missile attacks; Iraqis killed during and after the war 2 62. Environmental Damage--burning oil wells polluting the air; oil released into the Gulf polluting water and beaches; damage done to wild fowl and sealife 1 63. War Damage--damage done to countries in the mideast; we will have to pay for/be responsible for cleaning up the damage done to Iraq/Kuwait/Israel during the war 64. Deepened Our Involvement--we are now more deeply involved in the politics of the mideast/in the Arab-Israeli problem 4 71. Hurt the U.S. Economy--caused a recession; people lost their jobs/can't find jobs 72. Energy Costs--increased the cost of oil/gasoline; didn't lower/change the cost of oil/gasoline; will world/destroyed oil wells 73. Oil Dependency--increased our dependence on (mideast) oil for energy; made us less willing to develop other sources of energy 14 74. Financial Cost--we spent a lot of money; lost a lot of supplies/armaments/equipment; need to raise taxes to pay for the war; increased our national debt 3 75. Neglected Domestic Needs--money diverted from domestic programs/needs in order to finance the war 76. Defense Spending--will encourage increased spending on defense; will lessen pressure to cut defense spending 2 77. Effect on U.S. Civilians--disrupted the lives of people called into the service/sent overseas; caused hardship for families of reservists called to active duty; created stress/emotional problems for children 4 78. Effect on U.S. Soldiers-- emotional/psychological problems caused by combat; medical problems/diseases contracted while in the Gulf; sexual assaults suffered by female soldiers 79. Bad effect on U.S. morale or character; caused internal divisions and/or unrest; nationalistic frenzy; distorted national goals and priorities; caused U.S. to do bad or immoral things 1 80. Military conduct of war was bad/doesn't reflect favorably on U.S.; American soldiers being killed by own forces; weapons that didn't work (properly); bad or botched military strategy 22 81. Left Saddam in Power--didn't get rid of/punish Saddam Hussein; didn't finish the job 82. Kuwait Not a Democracy--failure of Kuwait to establish a democratic government; repression/injustice being committed in Kuwait since the end of the war 6 83. Failed Rebellion--we encouraged Iraqis to rebel against Saddam Hussein then didn't support them/left them to fight alone; Kurdish refugee problem--all mentions 1 84. Troops Still in Iraq--we still have forces in Iraq; the war is not over yet 85. "Iraqgate"--all mentions of selling arms to/failing to restrain Iraq; diminished support for Gulf War/ confidence in government because of "Iraqgate" events 1 86. Doubts about having been told the truth about the conduct of the war/goals of the war; skepticism about motives for going to war (e.g., political play, gain economic advantages, protect oil supply) Miscellaneous Responses (Use for both F9a and F10a) 3 87. Solved No Problems--didn't resolve any of the problem in the mideast; didn't cause the countries in the mideast to unite/get along better; didn't bring peace to the mideast 6 88. Didn't Accomplish Anything (NFS)--everything about the war was bad; nothing good came from the war; nothing (good) was accomplished 4 89. Other Bad Effects 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 1710 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J14; no further mention; 1994 cross section ============================== VAR 923626 92PRE:J14a.CONSEQ WAR BAD MENTION 3 COLUMNS 1747 - 1748 NUMERIC MISSING 0 OR GE 98 J14a(3). What did you have in mind? (5 MENTIONS) ----------------------------------------------------------- NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) 5 mentions. Bad Effects 3 51. Tarnished U.S. Image (NFS)--projected a bad image of U.S. to the world/in poor countries/in the mideast; lost us the respect of other nations; generated ill will/made enemies for us in other countries 3 52. Aggressor Nation--gives us the image of being an aggressor/warmonger nation; makes us appear willing to fight for pay for anyone who has the money; makes it easier for us to use force again when faced with an international problem; might make us overconfident in our ability to get our way by use of force 53. International Policeman--made ourselves the international policeman; obligated ourselves to give military protection to all/other (small) countries 61. Foreign Deaths--a lot of innocent people in the mideast were killed, displaced or wounded; deaths in Israel from missile attacks; Iraqis killed during and after the war 3 62. Environmental Damage--burning oil wells polluting the air; oil released into the Gulf polluting water and beaches; damage done to wild fowl and sealife 63. War Damage--damage done to countries in the mideast; we will have to pay for/be responsible for cleaning up the damage done to Iraq/Kuwait/Israel during the war 64. Deepened Our Involvement--we are now more deeply involved in the politics of the mideast/in the Arab-Israeli problem 71. Hurt the U.S. Economy--caused a recession; people lost their jobs/can't find jobs 72. Energy Costs--increased the cost of oil/gasoline; didn't lower/change the cost of oil/gasoline; will world/destroyed oil wells 73. Oil Dependency--increased our dependence on (mideast) oil for energy; made us less willing to develop other sources of energy 1 74. Financial Cost--we spent a lot of money; lost a lot of supplies/armaments/equipment; need to raise taxes to pay for the war; increased our national debt 75. Neglected Domestic Needs--money diverted from domestic programs/needs in order to finance the war 76. Defense Spending--will encourage increased spending on defense; will lessen pressure to cut defense spending 77. Effect on U.S. Civilians--disrupted the lives of people called into the service/sent overseas; caused hardship for families of reservists called to active duty; created stress/emotional problems for children 78. Effect on U.S. Soldiers-- emotional/psychological problems caused by combat; medical problems/diseases contracted while in the Gulf; sexual assaults suffered by female soldiers 79. Bad effect on U.S. morale or character; caused internal divisions and/or unrest; nationalistic frenzy; distorted national goals and priorities; caused U.S. to do bad or immoral things 80. Military conduct of war was bad/doesn't reflect favorably on U.S.; American soldiers being killed by own forces; weapons that didn't work (properly); bad or botched military strategy 1 81. Left Saddam in Power--didn't get rid of/punish Saddam Hussein; didn't finish the job 82. Kuwait Not a Democracy--failure of Kuwait to establish a democratic government; repression/injustice being committed in Kuwait since the end of the war 83. Failed Rebellion--we encouraged Iraqis to rebel against Saddam Hussein then didn't support them/left them to fight alone; Kurdish refugee problem--all mentions 84. Troops Still in Iraq--we still have forces in Iraq; the war is not over yet 85. "Iraqgate"--all mentions of selling arms to/failing to restrain Iraq; diminished support for Gulf War/ confidence in government because of "Iraqgate" events 86. Doubts about having been told the truth about the conduct of the war/goals of the war; skepticism about motives for going to war (e.g., political play, gain economic advantages, protect oil supply) Miscellaneous Responses (Use for both F9a and F10a) 1 87. Solved No Problems--didn't resolve any of the problem in the mideast; didn't cause the countries in the mideast to unite/get along better; didn't bring peace to the mideast 1 88. Didn't Accomplish Anything (NFS)--everything about the war was bad; nothing good came from the war; nothing (good) was accomplished 4 89. Other Bad Effects 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 1779 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J14; no further mention; 1994 cross section ============================== VAR 923627 92PRE:J14a.CONSEQ WAR BAD MENTION 4 COLUMNS 1749 - 1750 NUMERIC MISSING 0 OR GE 98 J14a(4). What did you have in mind? (5 MENTIONS) ----------------------------------------------------------- NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) 5 mentions. Bad Effects 51. Tarnished U.S. Image (NFS)--projected a bad image of U.S. to the world/in poor countries/in the mideast; lost us the respect of other nations; generated ill will/made enemies for us in other countries 52. Aggressor Nation--gives us the image of being an aggressor/warmonger nation; makes us appear willing to fight for pay for anyone who has the money; makes it easier for us to use force again when faced with an international problem; might make us overconfident in our ability to get our way by use of force 53. International Policeman--made ourselves the international policeman; obligated ourselves to give military protection to all/other (small) countries 1 61. Foreign Deaths--a lot of innocent people in the mideast were killed, displaced or wounded; deaths in Israel from missile attacks; Iraqis killed during and after the war 62. Environmental Damage--burning oil wells polluting the air; oil released into the Gulf polluting water and beaches; damage done to wild fowl and sealife 63. War Damage--damage done to countries in the mideast; we will have to pay for/be responsible for cleaning up the damage done to Iraq/Kuwait/Israel during the war 64. Deepened Our Involvement--we are now more deeply involved in the politics of the mideast/in the Arab-Israeli problem 71. Hurt the U.S. Economy--caused a recession; people lost their jobs/can't find jobs 72. Energy Costs--increased the cost of oil/gasoline; didn't lower/change the cost of oil/gasoline; will world/destroyed oil wells 73. Oil Dependency--increased our dependence on (mideast) oil for energy; made us less willing to develop other sources of energy 1 74. Financial Cost--we spent a lot of money; lost a lot of supplies/armaments/equipment; need to raise taxes to pay for the war; increased our national debt 75. Neglected Domestic Needs--money diverted from domestic programs/needs in order to finance the war 76. Defense Spending--will encourage increased spending on defense; will lessen pressure to cut defense spending 77. Effect on U.S. Civilians--disrupted the lives of people called into the service/sent overseas; caused hardship for families of reservists called to active duty; created stress/emotional problems for children 78. Effect on U.S. Soldiers-- emotional/psychological problems caused by combat; medical problems/diseases contracted while in the Gulf; sexual assaults suffered by female soldiers 79. Bad effect on U.S. morale or character; caused internal divisions and/or unrest; nationalistic frenzy; distorted national goals and priorities; caused U.S. to do bad or immoral things 80. Military conduct of war was bad/doesn't reflect favorably on U.S.; American soldiers being killed by own forces; weapons that didn't work (properly); bad or botched military strategy 81. Left Saddam in Power--didn't get rid of/punish Saddam Hussein; didn't finish the job 82. Kuwait Not a Democracy--failure of Kuwait to establish a democratic government; repression/injustice being committed in Kuwait since the end of the war 83. Failed Rebellion--we encouraged Iraqis to rebel against Saddam Hussein then didn't support them/left them to fight alone; Kurdish refugee problem--all mentions 84. Troops Still in Iraq--we still have forces in Iraq; the war is not over yet 85. "Iraqgate"--all mentions of selling arms to/failing to restrain Iraq; diminished support for Gulf War/ confidence in government because of "Iraqgate" events 1 86. Doubts about having been told the truth about the conduct of the war/goals of the war; skepticism about motives for going to war (e.g., political play, gain economic advantages, protect oil supply) Miscellaneous Responses (Use for both F9a and F10a) 1 87. Solved No Problems--didn't resolve any of the problem in the mideast; didn't cause the countries in the mideast to unite/get along better; didn't bring peace to the mideast 1 88. Didn't Accomplish Anything (NFS)--everything about the war was bad; nothing good came from the war; nothing (good) was accomplished 1 89. Other Bad Effects 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 1789 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J14; no further mention; 1994 cross section ============================== VAR 923628 92PRE:J14a.CONSEQ WAR BAD MENTION 5 COLUMNS 1751 - 1752 NUMERIC MISSING 0 OR GE 98 J14a(5). What did you have in mind? (5 MENTIONS) ----------------------------------------------------------- NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) 5 mentions. Bad Effects 51. Tarnished U.S. Image (NFS)--projected a bad image of U.S. to the world/in poor countries/in the mideast; lost us the respect of other nations; generated ill will/made enemies for us in other countries 52. Aggressor Nation--gives us the image of being an aggressor/warmonger nation; makes us appear willing to fight for pay for anyone who has the money; makes it easier for us to use force again when faced with an international problem; might make us overconfident in our ability to get our way by use of force 53. International Policeman--made ourselves the international policeman; obligated ourselves to give military protection to all/other (small) countries 61. Foreign Deaths--a lot of innocent people in the mideast were killed, displaced or wounded; deaths in Israel from missile attacks; Iraqis killed during and after the war 62. Environmental Damage--burning oil wells polluting the air; oil released into the Gulf polluting water and beaches; damage done to wild fowl and sealife 63. War Damage--damage done to countries in the mideast; we will have to pay for/be responsible for cleaning up the damage done to Iraq/Kuwait/Israel during the war 64. Deepened Our Involvement--we are now more deeply involved in the politics of the mideast/in the Arab-Israeli problem 71. Hurt the U.S. Economy--caused a recession; people lost their jobs/can't find jobs 72. Energy Costs--increased the cost of oil/gasoline; didn't lower/change the cost of oil/gasoline; will world/destroyed oil wells 73. Oil Dependency--increased our dependence on (mideast) oil for energy; made us less willing to develop other sources of energy 74. Financial Cost--we spent a lot of money; lost a lot of supplies/armaments/equipment; need to raise taxes to pay for the war; increased our national debt 75. Neglected Domestic Needs--money diverted from domestic programs/needs in order to finance the war 76. Defense Spending--will encourage increased spending on defense; will lessen pressure to cut defense spending 77. Effect on U.S. Civilians--disrupted the lives of people called into the service/sent overseas; caused hardship for families of reservists called to active duty; created stress/emotional problems for children 78. Effect on U.S. Soldiers-- emotional/psychological problems caused by combat; medical problems/diseases contracted while in the Gulf; sexual assaults suffered by female soldiers 79. Bad effect on U.S. morale or character; caused internal divisions and/or unrest; nationalistic frenzy; distorted national goals and priorities; caused U.S. to do bad or immoral things 80. Military conduct of war was bad/doesn't reflect favorably on U.S.; American soldiers being killed by own forces; weapons that didn't work (properly); bad or botched military strategy 81. Left Saddam in Power--didn't get rid of/punish Saddam Hussein; didn't finish the job 82. Kuwait Not a Democracy--failure of Kuwait to establish a democratic government; repression/injustice being committed in Kuwait since the end of the war 83. Failed Rebellion--we encouraged Iraqis to rebel against Saddam Hussein then didn't support them/left them to fight alone; Kurdish refugee problem--all mentions 84. Troops Still in Iraq--we still have forces in Iraq; the war is not over yet 85. "Iraqgate"--all mentions of selling arms to/failing to restrain Iraq; diminished support for Gulf War/ confidence in government because of "Iraqgate" events 1 86. Doubts about having been told the truth about the conduct of the war/goals of the war; skepticism about motives for going to war (e.g., political play, gain economic advantages, protect oil supply) Miscellaneous Responses (Use for both F9a and F10a) 87. Solved No Problems--didn't resolve any of the problem in the mideast; didn't cause the countries in the mideast to unite/get along better; didn't bring peace to the mideast 88. Didn't Accomplish Anything (NFS)--everything about the war was bad; nothing good came from the war; nothing (good) was accomplished 1 89. Other Bad Effects 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 1793 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J14; no further mention; 1994 cross section ============================== VAR 923629 92PRE:J15.PERSIAN GULF WAR WORTH COST COLUMNS 1753 - 1753 NUMERIC MISSING 0 OR GE 8 J15. All things considered, do you think the war was worth the cost or not? ----------------------------------------------------------- 416 1. WORTH IT 304 5. NOT WORTH IT 36 8. DK 3 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923630 92PRE:J16.GULF WAR-CONTINUED/STOPPED COLUMNS 1754 - 1754 NUMERIC MISSING 0 OR GE 8 J16. Some people think that the U.S. and its allies should have continued to fight Iraq until Saddam Hussein was driven from power. Others think that the U.S. was right to stop fighting after Kuwait was liberated. What do you think? Should the war have continued or should it have stopped? ------------------------------------------------------------ 468 1. SHOULD HAVE CONTINUED 242 3. SHOULD HAVE STOPPED 44 5. DK/NEITHER/BOTH, ETC. (VOL.) 1 8. DK 4 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923631 92PRE:K1.THINK SELF REP/DEM/IND/OTHER COLUMNS 1755 - 1755 NUMERIC MISSING 0 OR GE 8 K1. Generally speaking, do you usually think of yourself as a Republican, a Democrat, an Independent, or what? ------------------------------------------------------------ 198 1. REPUBLICAN 243 5. DEMOCRAT 265 2. INDEPENDENT 48 3. NO PREFERENCE 2 4. OTHER PARTY 1 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923632 92PRE:K1a/b.STRONG REP/DEM COLUMNS 1756 - 1756 NUMERIC MISSING 0 OR GE 8 K1a. Would you call yourself a strong Republican or a not very strong Republican? K1b. Would you call yourself a strong Democrat or a not very strong Democrat? ---------------------------------------------------------- 207 1. STRONG 233 5. NOT VERY STRONG 8. DK 1 9. NA 1354 0. Inap, 2-4, 8-9 in K1; 1994 cross section ============================== VAR 923633 92PRE:K1c.CLOSER TO REP/DEM COLUMNS 1757 - 1757 NUMERIC MISSING 0 OR GE 8 K1c. Do you think of yourself as closer to the Republican Party or to the Democratic Party? ---------------------------------------------------------- 116 1. CLOSER TO REPUBLICAN 91 3. NEITHER 106 5. CLOSER TO DEMOCRATIC 1 8. DK 1 9. NA 1480 0. Inap, 1, 5, 8-9 in K1; 1994 cross section ============================== VAR 923634 92PRE:K1z.PARTY ID COLUMNS 1758 - 1758 NUMERIC MISSING GE 8 K1z. SUMMARY: R's Party ID ---------------------------- Built from K1, K1a-c Code 8 (APOLITICAL) was used only if Respondent had a code of 3 (NO PREFERENCE) in K1 and a code of 3, 8, or 9 (NEITHER, DK, OR NA) in K1c and also showed little or no interest in politics in response to each of the following questions: A1 (pre), A4 (pre), M4 (pre), F1 (post). Respondents who showed interest in politics in response to A1 (pre), A4 (pre), M4 (pre), or F1 (post) were recoded to 3. 116 0. STRONG DEMOCRAT (510) 127 1. WEAK DEMOCRAT (550, 580, 590) 106 2. INDEPENDENT-DEMOCRAT (205, 305, 405) 86 3. INDEPENDENT-INDEPENDENT (203, 208, 209) 116 4. INDEPENDENT-REPUBLICAN (201, 301, 401) 107 5. WEAK REPUBLICAN (150, 180, 190) 91 6. STRONG REPUBLICAN (110) 1 7. OTHER-MINOR PARTY, REFUSES TO SAY (403, 408, 409) 6 8. APOLITICAL (303, 308, 309) 1039 9. NA (800, 900); INAP, 1994 cross section ============================== VAR 923635 92PRE:K2a.BUSH INTELLIGENT COLUMNS 1759 - 1759 NUMERIC MISSING 0 OR GE 8 K2. (RB, P. 12) I am going to read a list of words and phrases people may use to describe political figures. For each, tell me whether the word or phrase describes the candidate I name. Think about George Bush. In your opinion does the phrase "he is intelligent" describe George Bush extremely well, quite well, not too well, or not well at all? K2a. INTELLIGENT? ---------------------------------------------------------- 211 1. EXTREMELY WELL 427 2. QUITE WELL 90 3. NOT TOO WELL 25 4. NOT WELL AT ALL 5 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923636 92PRE:K2b.BUSH COMPASSIONATE COLUMNS 1760 - 1760 NUMERIC MISSING 0 OR GE 8 K2b. (How about) Compassionate? <...as a word or phrase that describes George Bush> -------------------------------------------------------- 121 1. EXTREMELY WELL 315 2. QUITE WELL 249 3. NOT TOO WELL 52 4. NOT WELL AT ALL 19 8. DK 3 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923637 92PRE:K2c.BUSH MORAL COLUMNS 1761 - 1761 NUMERIC MISSING 0 OR GE 8 K2c. Moral? ------------------------------------------------------- 215 1. EXTREMELY WELL 385 2. QUITE WELL 110 3. NOT TOO WELL 24 4. NOT WELL AT ALL 24 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923638 92PRE:K2d.BUSH INSPIRING COLUMNS 1762 - 1762 NUMERIC MISSING 0 OR GE 8 K2d. Inspiring? ------------------------------------------------------- 53 1. EXTREMELY WELL 260 2. QUITE WELL 323 3. NOT TOO WELL 103 4. NOT WELL AT ALL 19 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923639 92PRE:K2e.BUSH STRONG LEADER COLUMNS 1763 - 1763 NUMERIC MISSING 0 OR GE 8 K2e. Provides strong leadership? ------------------------------------------------------- 108 1. EXTREMELY WELL 331 2. QUITE WELL 251 3. NOT TOO WELL 57 4. NOT WELL AT ALL 11 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923640 92PRE:K2f.BUSH CARES COLUMNS 1764 - 1764 NUMERIC MISSING 0 OR GE 8 K2f. Really cares about people like you? ------------------------------------------------------- 67 1. EXTREMELY WELL 204 2. QUITE WELL 281 3. NOT TOO WELL 193 4. NOT WELL AT ALL 12 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923641 92PRE:K2g.BUSH KNOWLEDGEABLE COLUMNS 1765 - 1765 NUMERIC MISSING 0 OR GE 8 K2g. Knowledgeable? ------------------------------------------------------- 180 1. EXTREMELY WELL 442 2. QUITE WELL 106 3. NOT TOO WELL 16 4. NOT WELL AT ALL 13 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923642 92PRE:K2h.BUSH HONEST COLUMNS 1766 - 1766 NUMERIC MISSING 0 OR GE 8 K2h. Honest? ------------------------------------------------------- 138 1. EXTREMELY WELL 311 2. QUITE WELL 213 3. NOT TOO WELL 71 4. NOT WELL AT ALL 24 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923643 92PRE:K2i.BUSH GET THINGS DONE COLUMNS 1767 - 1767 NUMERIC MISSING 0 OR GE 8 K2i. Gets things done? ------------------------------------------------------- 47 1. EXTREMELY WELL 254 2. QUITE WELL 358 3. NOT TOO WELL 83 4. NOT WELL AT ALL 17 8. DK 1 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923644 92PRE:K3a.CLINTON INTELLIGENT COLUMNS 1768 - 1768 NUMERIC MISSING 0 OR GE 8 K3. (RB, STILL ON P. 12) Think about Bill Clinton. In your opinion, does "intelligent" describe Bill Clinton extremely well, quite well, not too well, or not well at all? K3a. INTELLIGENT? ------------------------------------------------------------ 171 1. EXTREMELY WELL 454 2. QUITE WELL 71 3. NOT TOO WELL 14 4. NOT WELL AT ALL 46 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923645 92PRE:K3b.CLINTON COMPASSIONATE COLUMNS 1769 - 1769 NUMERIC MISSING 0 OR GE 8 K3b. (How about) Compassionate? <...as a word or phrase that describes Bill Clinton> -------------------------------------------------------- 91 1. EXTREMELY WELL 430 2. QUITE WELL 138 3. NOT TOO WELL 20 4. NOT WELL AT ALL 79 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923646 92PRE:K3c.CLINTON MORAL COLUMNS 1770 - 1770 NUMERIC MISSING 0 OR GE 8 K3c. Moral? ----------------------------------------------------- 36 1. EXTREMELY WELL 265 2. QUITE WELL 284 3. NOT TOO WELL 107 4. NOT WELL AT ALL 65 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923647 92PRE:K3d.CLINTON INSPIRING COLUMNS 1771 - 1771 NUMERIC MISSING 0 OR GE 8 K3d. Inspiring? ----------------------------------------------------- 84 1. EXTREMELY WELL 323 2. QUITE WELL 243 3. NOT TOO WELL 60 4. NOT WELL AT ALL 48 8. DK 2 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923648 92PRE:K3e.CLINTON STRONG LEADER COLUMNS 1772 - 1772 NUMERIC MISSING 0 OR GE 8 K3e. Provides strong leadership? ----------------------------------------------------- 68 1. EXTREMELY WELL 328 2. QUITE WELL 221 3. NOT TOO WELL 47 4. NOT WELL AT ALL 92 8. DK 3 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923649 92PRE:K3f.CLINTON CARES COLUMNS 1773 - 1773 NUMERIC MISSING 0 OR GE 8 K3f. Really cares about people like you? ----------------------------------------------------- 93 1. EXTREMELY WELL 331 2. QUITE WELL 192 3. NOT TOO WELL 64 4. NOT WELL AT ALL 74 8. DK 5 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923650 92PRE:K3g.CLINTON KNOWLEDGEABLE COLUMNS 1774 - 1774 NUMERIC MISSING 0 OR GE 8 K3g. Knowledgeable? ----------------------------------------------------- 125 1. EXTREMELY WELL 464 2. QUITE WELL 106 3. NOT TOO WELL 18 4. NOT WELL AT ALL 43 8. DK 4 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923651 92PRE:K3h.CLINTON HONEST COLUMNS 1775 - 1775 NUMERIC MISSING 0 OR GE 8 K3h. Honest? ----------------------------------------------------- 52 1. EXTREMELY WELL 286 2. QUITE WELL 246 3. NOT TOO WELL 94 4. NOT WELL AT ALL 76 8. DK 5 9. NA 1036 0. INAP, 1994 cross section ============================== VAR 923652 92PRE:K3i.CLINTON GET THINGS DONE COLUMNS 1776 - 1776 NUMERIC MISSING 0 OR GE 8 K3i. Gets things done? ----------------------------------------------------- 60 1. EXTREMELY WELL 348 2. QUITE WELL 151 3. NOT TOO WELL 36 4. NOT WELL AT ALL 160 8. DK 4 9. NA 1036 0. INAP, 1994 cross section There are no variables in range 3653-3700 ============================== VAR 923701 92PRE:L1a.SPENDING/SERVICES 7P COLUMNS 1777 - 1777 NUMERIC MISSING 0 OR GE 8 L1. (RB, P. 13) Some people think the government should provide fewer services, even in areas such as health and education in order to reduce spending. Suppose these people are at one end of the scale at point 1. Other people feel it is important for the government to provide many more services even if it means an increase in spending. Suppose these people are at the other end, at point 7. And of course, some other people have opinions somewhere in between at points 2, 3, 4, 5, or 6. L1a. Where would you place yourself on this scale, or haven't you thought much about this? ------------------------------------------------------------ 42 1. GOV'T PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 69 2. 105 3. 217 4. 115 5. 54 6. 49 7. GOV'T PROVIDE MANY MORE SERVICES INCREASE SPENDING A LOT 3 8. DK 1037 9. NA; 1994 cross section 104 0. HAVEN'T THOUGHT MUCH ============================== VAR 923702 92PRE:L1b.BUSH SPENDING COLUMNS 1778 - 1778 NUMERIC MISSING 0 OR GE 8 L1b. Where would you place George Bush on this scale? ----------------------------------------------------------- 55 1. GOV'T PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 143 2. 153 3. 132 4. 64 5. 40 6. 21 7. GOV'T PROVIDE MANY MORE SERVICES INCREASE SPENDING A LOT 38 8. DK 3 9. NA 1147 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L1; 1994 cross section ============================== VAR 923703 92PRE:L1c.CLINTON SPENDING COLUMNS 1779 - 1779 NUMERIC MISSING 0 OR GE 8 L1c. (Where would you place) Bill Clinton (on this scale)? ----------------------------------------------------------- 9 1. GOV'T PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 29 2. 36 3. 110 4. 174 5. 148 6. 81 7. GOV'T PROVIDE MANY MORE SERVICES INCREASE SPENDING A LOT 56 8. DK 3 9. NA 1147 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L1; 1994 cross section ============================== VAR 923704 92PRE:L1d.REP SPENDING COLUMNS 1780 - 1780 NUMERIC MISSING 0 OR GE 8 L1d/L1ad. The Republican Party ---------------------------------------------------- 64 1. GOV'T PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 159 2. 152 3. 144 4. 58 5. 41 6. 24 7. GOV'T PROVIDE MANY MORE SERVICES INCREASE SPENDING A LOT 108 8. DK 6 9. NA 1040 0. Inap, 3-4, 6-7 in V3011; 9 in L1; 1994 cross section ============================== VAR 923705 92PRE:L1e.DEM SPENDING COLUMNS 1781 - 1781 NUMERIC MISSING 0 OR GE 8 L1e/L1ae. The Democratic Party ---------------------------------------------------- 10 1. GOV'T PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 22 2. 51 3. 122 4. 161 5. 170 6. 104 7. GOV'T PROVIDE MANY MORE SERVICES INCREASE SPENDING A LOT 109 8. DK 6 9. NA 1040 0. Inap, 3-4, 6-7 in V3011; 9 in L1; 1994 cross section ============================== VAR 923706 92PRE:L1f.FED GOVT SPENDING COLUMNS 1782 - 1782 NUMERIC MISSING 0 OR GE 8 L1f. What the federal government is doing now? ------------------------------------------------------------ 40 1. GOV'T PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 73 2. 118 3. 179 4. 104 5. 55 6. 28 7. GOV'T PROVIDE MANY MORE SERVICES INCREASE SPENDING A LOT 48 8. DK 3 9. NA 1147 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L1; 1994 cross section ============================== VAR 923707 92PRE:L2a.DEFENSE SPENDING 7P COLUMNS 1783 - 1783 NUMERIC MISSING 0 OR GE 8 L2. (RB, P. 14) Some people believe that we should spend much less money for defense. Others feel that defense spending should be greatly increased. L2a. Where would you place yourself on this scale, or haven't you thought much about this? --------------------------------------------------------- 54 1. GREATLY DECREASE DEFENSE SPENDING 103 2. 165 3. 233 4. 80 5. 30 6. 15 7. GREATLY INCREASE DEFENSE SPENDING 4 8. DK 1037 9. NA; 1994 cross section 73 0. HAVEN'T THOUGHT MUCH ============================== VAR 923708 92PRE:L2b.BUSH DEFENSE SPENDING COLUMNS 1784 - 1784 NUMERIC MISSING 0 OR GE 8 L2b. Where would you place George Bush on this scale? -------------------------------------------------------- 13 1. GREATLY DECREASE DEFENSE SPENDING 27 2. 62 3. 156 4. 189 5. 146 6. 58 7. GREATLY INCREASE DEFENSE SPENDING 22 8. DK 4 9. NA 1116 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L21; 1994 cross section ============================== VAR 923709 92PRE:L2c.CLINTON DEFENSE SPENDING COLUMNS 1785 - 1785 NUMERIC MISSING 0 OR GE 8 L2c. (Where would you place) Bill Clinton (on this scale)? ------------------------------------------------------------ 44 1. GREATLY DECREASE DEFENSE SPENDING 121 2. 161 3. 163 4. 56 5. 24 6. 10 7. GREATLY INCREASE DEFENSE SPENDING 95 8. DK 4 9. NA 1116 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L2; 1994 cross section ============================== VAR 923710 92PRE:L2d.REP DEFENSE SPENDING COLUMNS 1786 - 1786 NUMERIC MISSING 0 OR GE 8 L2d/L2ad. The Repubican Party? ----------------------------------------------------------- 15 1. GREATLY DECREASE DEFENSE SPENDING 23 2. 66 3. 148 4. 186 5. 139 6. 71 7. GREATLY INCREASE DEFENSE SPENDING 103 8. DK 4 9. NA 1040 0. Inap, 3-4, 6-7 in V3011; 9 in L2; 1994 cross section ============================== VAR 923711 92PRE:L2e.DEM DEFENSE SPENDING COLUMNS 1787 - 1787 NUMERIC MISSING 0 OR GE 8 L2e/L2ae. The Democratic Party? ------------------------------------------------------------ 60 1. GREATLY DECREASE DEFENSE SPENDING 126 2. 160 3. 160 4. 80 5. 30 6. 11 7. GREATLY INCREASE DEFENSE SPENDING 124 8. DK 4 9. NA 1040 0. Inap, 3-4, 6-7 in V3011; 9 in L2; 1994 cross section ============================== VAR 923712 92PRE:L2f.FED GOVT DEFENSE SPENDING COLUMNS 1788 - 1788 NUMERIC MISSING 0 OR GE 8 L2f. What the federal government is doing now? --------------------------------------------------------- 11 1. GREATLY DECREASE DEFENSE SPENDING 37 2. 104 3. 204 4. 158 5. 79 6. 31 7. GREATLY INCREASE DEFENSE SPENDING 48 8. DK 5 9. NA 1116 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L2; 1994 cross section ============================== VAR 923713 92PRE:L3.AFFORD TO PAY FOR HEALTH CARE COLUMNS 1789 - 1789 NUMERIC MISSING 0 OR GE 8 L3. Now, thinking about health care. Can you (and your family) afford to pay for the health care that you need? -------------------------------------------------------- 430 1. YES 318 5. NO 2 8. DK 6 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923714 92PRE:L3a.HAVE HEALTH INSURANCE COLUMNS 1790 - 1790 NUMERIC MISSING 0 OR GE 8 L3a. Do you presently have any kind of health insurance? --------------------------------------------------------- 645 1. YES 108 5. NO 8. DK 3 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923715 92PRE:L4.SAT/DISSAT QUALITY/HEALTH CARE COLUMNS 1791 - 1791 NUMERIC MISSING 0 OR GE 8 L4. Are you satisfied or dissatisfied with the quality of the health care available to you and your family? ---------------------------------------------------------- 525 1. SATISFIED 217 5. DISSATISFIED 6 8. DK 8 9. NA 1038 0. Inap, 3-4, 6-7 in V3011; 1994 cross section ============================== VAR 923716 92PRE:L5a.HEALTH CARE PLANS 7P COLUMNS 1792 - 1792 NUMERIC MISSING GE 8 L5. (RB, P. 15) There is much concern about the rapid rise in medical and hospital costs. Some people feel there should be a government insurance plan which would cover all medical and hospital expenses for everyone. Others feel that all medical expenses should be paid by individuals, and through private insurance plans like Blue Cross or other