Version 01 Codebook ------------------- CODEBOOK VARIABLE DOCUMENTATION 1992-1997 COMBINED FILE (1992.M97) 1992-1997 COMBINED FILE 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 ============================== VAR ICPSRNO ICPSR STUDY ARCHIVE FOR COMBINED FILE COLUMNS 10 - 13 NUMERIC Study number 2407. ============================== VAR CASEID CASE ID FOR COMBINED FILE COLUMNS 14 - 19 NUMERIC This 6-digit number is unique for all cases. The first 2 digits are the 2-digit year of R's original selection/participation; the last 4 digits are the same as R's case ID for the year of R's initial selection. There may be gaps in the numbering. Note that for Rs first participating in 1992 the absence of Pre-only cases produces numerous gaps. RANGE YR OF INITIAL PARTICIPATION 920001-921125. Rs first selected in 1992 942001-943036. Rs first selected in 1994 963001-963404. Rs first selected in 1996 ============================== VAR PARTIC PARTICIPATION 1992-1993-1994-1995-1996-1997 COLUMNS 20 - 21 NUMERIC This file follows respondent participation over the following studies: 1992 Election Study (Pre and Post) 1993 Pilot Study 1994 Election Study (Post) 1995 Pilot Study 1996 Election Study (Pre and Post) 1997 Pilot Study 1992 Pre-only cases and 1992 respondents who had previously been interviewed in 1990 (1990-1992 'Panel' cases) are excluded from this file. 'Fresh' cross-section cases in 1992 for which both Pre and Post interviews were obtained in 1992 were eligible for reinterview in 1994; all 1994 cases were eligible for reinterview in 1996. All 1992 Pre-and-Post cases ('fresh' Cross) were eligible for the 1993 Pilot. In 1994, only a subset of 'new' Cross cases were eligible for inclusion in the 1995 Pilot. 1996 Pre-and-Post 'fresh' Cross-section cases were eligible for the 1997 Pilot sample; the remainder of the 1997 sample consisted of a selection of 1996 respondents who had also been previously interviewed in 1994 and who had given both Pre and Post interviews in 1996. See Study Design notes in the Appendices for further information. INITIAL YEAR 1992: 21. 1992 PRE AND POST 22. 1992 PRE AND POST; 1993 PILOT 23. 1992 PRE AND POST; 1993 PILOT; 1994 POST 24. 1992 PRE AND POST; 1993 PILOT; 1994 POST; 1996 PRE 25. 1992 PRE AND POST; 1993 PILOT; 1994 POST, 1996 PRE AND POST 26. 1992 PRE AND POST; 1993 PILOT; 1994 POST; 1996 PRE AND POST; 1997 PILOT 27. 1992 PRE AND POST; 1994 POST 28. 1992 PRE AND POST; 1994 POST; 1996 PRE 29. 1992 PRE AND POST; 1994 POST; 1996 PRE AND POST 30. 1992 PRE AND POST; 1994 POST; 1996 PRE AND POST; 1997 PILOT INITIAL YEAR 1994: 41. 1994 POST 42. 1994 POST; 1995 PILOT 43. 1994 POST; 1995 PILOT; 1996 PRE 44. 1994 POST; 1995 PILOT; 1996 PRE AND POST 45. 1994 POST; 1995 PILOT; 1996 PRE AND POST; 1997 PILOT 46. 1994 POST; 1996 PRE 47. 1994 POST; 1996 PRE AND POST 48. 1994 POST; 1996 PRE AND POST; 1997 PILOT INITIAL YEAR 1996: 61. 1996 PRE 62. 1996 PRE AND POST 63. 1996 PRE AND POST; 1997 PILOT ============================== VAR ID92 1992 CASE ID COLUMNS 22 - 27 NUMERIC There may be gaps in the numbering. 920001-921125. ============================== VAR ID93 1993 CASE ID COLUMNS 28 - 34 NUMERIC There may be gaps in the numbering. NOTE: 1993 noninterviews are missing data in this variable. In 1993 variable V937001 (case ID) nonIWs have case IDs. (See 1993 result variable V937018.) 9300101 - 9395301. ============================== VAR ID94 1994 CASE ID COLUMNS 35 - 40 NUMERIC There may be gaps in the numbering. 941001 - 943036. ============================== VAR ID95 1995 CASE ID COLUMNS 41 - 47 NUMERIC There may be gaps in the numbering. 9500101 - 9570401. ============================== VAR ID96 1996 CASE ID COLUMNS 48 - 53 NUMERIC There may be gaps in the numbering. 961001 - 963404. ============================== VAR ID97 1997 CASE ID COLUMNS 54 - 59 NUMERIC There may be gaps in the numbering. 970001 - 970724. ============================== VAR 923001 92PRE/PO: 1992 ICPSR ARCHIVE NUMBER COLUMNS 60 - 63 NUMERIC 6067. ICPSR ARCHIVE NUMBER FOR 1992 PRE-POST STUDY ============================== VAR 923004 92PRE: CASE ID COLUMNS 64 - 67 NUMERIC 1992 PRE-ELECTION STUDY CASE ID OF RESPONDENT --------------------------------------------- NOTE: There are three gaps in the sequence of pre-election case IDs: there are no cases numbered 3333, 3359 or 3362. Cases 2149, 2364 were included in the first release of this collection but will not appear in future releases. About 55% of the 1992 Election Study respondents were initially interviewed in the 1990 Election Study and therefore are panel respondents. Please see introduction for further details of the 1992 Study Design. 0001-1126. Cross-section respondent 2001-3364. Panel respondent ============================== VAR 923005 92PREPO: PANEL/CROSS INDICATOR COLUMNS 68 - 68 NUMERIC 1992 PANEL OR CROSS-SECTION INDICATOR ------------------------------------- 1. Panel respondent (Interviewed initially in the 1990 National Election Study). 2. Cross-section respondent ============================== VAR 923006 92PRE/PO: 90POST CASE ID COLUMNS 69 - 69 NUMERIC 1990 POST ELECTION STUDY CASE ID -------------------------------- NOTE: About 55% of the 1992 Election Study respondents were initially interviewed in the 1990 Election Study. This is the case ID for those respondents in that study. See the introduction for a description of the 1992 study design. This variable may be used to merge this data file with the 1990 election study (ICPSR 9548) or the 1990- 1991 [Panel/Pilot Study] Consequences of War Study (ICPSR 9673). 4-digit 1990 Post case number is entered, except: 0000. INAP, 1992 Cross-section respondent ============================== VAR 923007 92PRE/PO: 1991 PANEL STATUS COLUMNS 70 - 70 NUMERIC PANEL RESPONDENT'S STATUS FOR THE 1991 PANEL/PILOT STUDY -------------------------------------------------------- All 1992 Election Study Panel respondents were interviewed in the 1990 Election Study. Some were also interviewed in the 1991 Consequences of War Study (ICPSR 9673). This variable denotes the respondent's status vis-a-vis the 1991 Study. See the introduction for a description of the 1992 Study design. 1. Interviewed in 1991 4. Defined as Non Sample for the 1991 Study 5. Did not give an interview in 1991 0. INAP, 1992 Cross-section ============================== VAR 923008 92PRE/PO: WEIGHT=PANEL/CROSS COLUMNS 71 - 76 NUMERIC DEC 4 FULL SAMPLE WEIGHT ------------------ This weight compensates for the unequal probabilities of selection for respondents in different size households and for differential nonresponse across geographic sample design categories and between panel and cross-section respondents. It is post-stratified to 1990 Census proportions for 24 age by sex by Census region categories. This is a 6 digit variable with 4 decimal places. The weight is centered with a mean of 1.0. This is the first time that NES has put out a weight which compensates for nonresponse, although it has now become a fairly standard part of survey data collections. Such a weight is particularly appropriate for descriptive statistics. See also V7000 and the Sample Design section of the introductory materials for the 1992 Pre- and Post-Election Survey. ============================== VAR 923008A 92PRE: NEW COMBINED WEIGHT - PRE COLUMNS 77 - 82 NUMERIC DEC 4 COMBINED FILE WEIGHT - 1992 Pre variables ------------------ This weight should be used with Combined File 1992 Pre variables. See Appendix report on creation of new weight variables. ============================== VAR 923008B 92PRE: NEW COMBINED WEIGHT - POST COLUMNS 83 - 88 NUMERIC DEC 4 COMBINED FILE WEIGHT - 1992 Post variables ------------------ This weight should be used with Combined File 1992 Pre variables. See Appendix report on creation of new weight variables. ============================== VAR 923009 92PRE/PO: WEIGHT-PANEL ONLY COLUMNS 89 - 89 NUMERIC PANEL ONLY WEIGHT ----------------- This variable should not be used with the Combined File (all cases set to 0). This weight is to be used for analyses which use only the 1,361 panel cases; the supplemental cross-section cases (n=1,126) 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 1990 Census proportions for 24 age by sex by Census region categories. This is a 6 digit variable with 4 decimal places. The weight is centered with a mean of 1.0. V7000: TIME SERIES WEIGHT (Textual Description Only-- Actual variable location is as the next-to-last variable in the data file) This weight should be used in analyses in which the 1992 NES is being compared to earlier unwighted National Election Studies data collections. Variable 7000 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 introductory materials for the 1992 Pre- and Post-Election Survey. The weight is centered with a mean of 1.0. Cases that are part of the new cross-section have a value of 1.0000 on variable 7000. This is a five-digit variable with four implicit decimal places. ============================== VAR 923010 92PRE/PO: PRE ONLY OR PRE AND POST COLUMNS 90 - 90 NUMERIC PRE-POST INDICATOR: 1992 ELECTION STUDY --------------------------------------- 0. R gave only a Pre-election interview 1. R gave both a Pre and Post-election interview ============================== VAR 923011 92PRE: FORM TYPE COLUMNS 91 - 91 NUMERIC 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 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 cross-section cases; however, 4 cases were administered using these short questionnaires in error (code 4). Regrettably, some panel respondents who had not moved out of range were administered the short form of the questionnaire. This variable in conjunction with v3071 will identify these cases. 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 both to cross-section respondents and to panel respondents who were unable to be interviewed in English. 1. Long questionnaire: PANEL 2. Long questionnaire: CROSS-SECTION 3. Short questionnaire: PANEL 4. Short questionnaire: CROSS-SECTION (used in error) 6. PANEL Spanish Language short questionnaire 7. CROSS-SECTION Spanish Language short questionnaire ============================== VAR 923012 92PRE/PO: 3-DIGIT PRIMARY AREA COLUMNS 92 - 94 NUMERIC PRIMARY AREA CODE (3 digits) ---------------------------- This is a 3-digit variable. The first digit indicates whether a sample point comes from the 1990 sample (1=panel), or from the 1992 (2=fresh cross-section). The last 2 digits denote the primary area. Please note that: Monroe and Ashley County AR both share PA# 77, and Phillips County, KS and Saline, NE share PA #68. The original 1990 Primary areas Monroe (68) and Saline (70) were depleted, so new Primary areas had to be selected from the same sample strata. For information on sample design please see: "Sample Design of the 1992 Pre- and Post-Election Study" in the introduction of this documentation. PRIMARY AREAS in alphabetic order: SEE NOTE(S) 1,2 1990 1992 156 256 ANAHEIM, CA --- 277 ASHLEY, AR --- 216 ATLANTA, GA 123 223 ATLANTIC CITY, NJ 114 --- BALTIMORE, MD 178 278 BEDFORD, TN 136 236 BIRMINGHAM, AL 110 --- BOSTON, MA 117 217 BUFFALO, NY 173 273 BULLOCH, GA 184 284 CARBON, WY 103 203 CHICAGO, IL 139 239 COLUMBUS, GA --- 208 DALLAS/FT WORTH, TX 127 227 DAYTON, OH --- 266 DECATUR, IN 155 255 DENVER, CO 129 229 DES MOINES, IA 105 205 DETROIT, MI 182 282 ELDORADO, CA 159 259 EUGENE, OR 132 232 FORT WAYNE, IN 158 258 FRESNO, CA --- 264 GARDNER, MA 131 231 GRAND RAPIDS, MI 176 276 HALE, TX 109 --- HOUSTON, TX --- 242 JACKSONVILLE, FL --- 228 KANSAS CITY, MO 149 249 KNOXVILLE, TN 143 243 LAKELAND, FL --- 211 LONG ISLAND, NY 102 202 LOS ANGELES, CA 124 224 MANCHESTER, NH 144 244 McALLEN, TX 140 240 MIAMI, FL 126 226 MILWAUKEE, WI --- 215 MINNEAPOLIS, MN 177 --- MONROE, AR --- 280 MONTGOMERY, VA 170 270 MOWER, MN 121 221 NEW HAVEN, CT 101 201 NEW YORK, NY --- 218 NEWARK, NJ 104 204 PHILADELPHIA, PA 168 --- PHILLIPS, KS --- 260 PHOENIX, AZ 113 --- PITTSBURGH, PA 150 250 RICHMOND, VA --- 257 RIVERSIDE, CA 181 281 ROBESON, NC --- 274 SABINE, LA --- 234 SAGINAW, MI --- 268 SALINE, NE 106 206 SAN FRANCISCO, CA 165 265 SANILAC, MI 163 263 SCHUYLER, NY 153 253 SEATTLE, WA 112 --- ST LOUIS, MO 133 233 STEUBENVILLE, OH --- 245 WACO, TX --- 207 WASHINGTON, DC 147 247 WHEELING, WV The PRIMARY AREA CODE sorted by code number: 101. NEW YORK, NY 102. LOS ANGELES,CA 103. CHICAGO, IL 104. PHILADELPHIA, PA 105. DETROIT, MI 106. SAN FRANCISCO, CA 109. HOUSTON, TX 110. BOSTON, MA 112. ST LOUIS, MO 113. PITTSBURGH, PA 114. BALTIMORE, MD 117. BUFFALO, NY 121. NEW HAVEN, CT 123. ATLANTIC CITY, NJ 124. MANCHESTER, NH 126. MILWAUKEE, WI 127. DAYTON, OH 129. DES MOINES, IA 131. GRAND RAPIDS, MI 132. FORT WAYNE, IN 133. STEUBENVILLE, OH 136. BIRMINGHAM, AL 139. COLUMBUS, GA 140. MIAMI, FL 143. LAKELAND, FL 144. McALLEN, TX 147. WHEELING, WV 149. KNOXVILLE, TN 150. RICHMOND, VA 153. SEATTLE, WA 155. DENVER, CO 156. ANAHEIM, CA 158. FRESNO, CA 159. EUGENE, OR 163. SCHUYLER, NY 165. SANILAC, MI 168. PHILLIPS, KS 170. MOWER, MN 173. BULLOCH, GA 176. HALE, TX 177. MONROE, AR 178. BEDFORD, TN 181. ROBESON, NC 182. ELDORADO, CA 184. CARBON, WY 201. NEW YORK, NY 202. LOS ANGELES, CA 203. CHICAGO, IL 204. PHILADELPHIA, PA 205. DETROIT, MI 206. SAN FRANCISCO,CA 207. WASHINGTON, DC 208. DALLAS/FTWRTH, TX 211. LONG ISLAND, NY 215. MINNEAPOLIS, MN 216. ATLANTA, GA 217. BUFFALO, NY 218. NEWARK, NJ 221. NEW HAVEN, CT 223. ATLANTIC CITY, NJ 224. MANCHESTER, NH 226. MILWAUKEE, WI 227. DAYTON, OH 228. KANSAS CITY, MO 229. DES MOINES, IA 231. GRAND RAPIDS, MI 232. FORT WAYNE, IN 233. STEUBENVILLE, OH 234. SAGINAW, MI 236. BIRMINGHAM, AL 239. COLUMBUS, GA 240. MIAMI, FL 242. JACKSONVILLE, FL 243. LAKELAND, FL 244. McALLEN, TX 245. WACO, TX 247. WHEELING, WV 249. KNOXVILLE, TN 250. RICHMOND, VA 253. SEATTLE, WA 255. DENVER, CO 256. ANAHEIM, CA 257. RIVERSIDE, CA 258. FRESNO, CA 259. EUGENE, OR 260. PHOENIX, AZ 263. SCHUYLER, NY 264. GARDNER, MA 265. SANILAC, MI 266. DECATUR, IN 268. SALINE, NE 270. MOWER, MN 273. BULLOCH, GA 274. SABINE, LA 276. HALE, TX 277. ASHLEY, AR 278. BEDFORD, TN 280. MONTGOMERY, VA 281. ROBESON, NC 282. ELDORADO, CA 284. CARBON, WY ============================== VAR 923013 92PRE/PO: PRIMARY AREA NAME COLUMNS 95 - 115 CHARACTER PRIMARY AREA NAME ----------------- This is an alphabetical variable. ============================== VAR 923014 92PRE/PO: CENSUS REGION COLUMNS 116 - 116 NUMERIC 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 Introduction.) SEE NOTE(S) 2 1. Northeast (Connecticut, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania) 2. North Central (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, Ohio, Wisconsin) 3. South (Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Louisianna, Maryland, North Carolina, Tennessee, Texas, Virginia, West Virginia) 4. West (Arizona, California, Colorado, Oregon, Washington, Wyoming) ============================== VAR 923015 92PRE/PO: STATE ABBREVIATION COLUMNS 117 - 118 CHARACTER STATE ABBREVIATION ------------------ 2-digit postal abbreviation of state of sample location. ============================== VAR 923016 92PRE/PO: ICPSR STATE/92CD COLUMNS 119 - 122 NUMERIC ICPSR STATE AND 1992 CONGRESSIONAL DISTRICT ------------------------------------------- IN ALPHABETIC ORDER OF STATE ABBREVIATION AND CD. The numeric 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 4106. AL06 4107. AL07 4201. AR01 4204. AR04 6101. AZ01 6102. AZ02 6103. AZ03 6104. AZ04 6106. AZ06 7104. CA04 7106. CA06 7107. CA07 7108. CA08 7109. CA09 7110. CA10 7112. CA12 7113. CA13 7119. CA19 7124. CA24 7126. CA26 7127. CA27 7128. CA28 7129. CA29 7131. CA31 7132. CA32 7133. CA33 7134. CA34 7135. CA35 7136. CA36 7138. CA38 7139. CA39 7140. CA40 7141. CA41 7142. CA42 7143. CA43 7144. CA44 7145. CA45 7146. CA46 7147. CA47 7148. CA48 6201. CO01 6202. CO02 6206. CO06 0103. CT03 4303. FL03 4304. FL04 4306. FL06 4312. FL12 4317. FL17 4318. FL18 4320. FL20 4321. FL21 4322. FL22 4401. GA01 4402. GA02 4403. GA03 4404. GA04 4405. GA05 4407. GA07 3103. IA03 3104. IA04 2101. IL01 2102. IL02 2103. IL03 2105. IL05 2106. IL06 2107. IL07 2109. IL09 2110. IL10 2111. IL11 2112. IL12 2113. IL13 2114. IL14 2202. IN02 2204. IN04 3201. KS01 3203. KS03 4506. LA06 0301. MA01 0302. MA02 0306. MA06 0307. MA07 0308. MA08 0309. MA09 5202. MD02 5203. MD03 5204. MD04 5205. MD05 5206. MD06 5207. MD07 5208. MD08 2302. MI02 2303. MI03 2304. MI04 2305. MI05 2309. MI09 2310. MI10 2311. MI11 2315. MI15 2316. MI16 3301. MN01 3302. MN02 3304. MN04 3306. MN06 3401. MO01 3402. MO02 3403. MO03 3405. MO05 3406. MO06 4707. NC07 4708. NC08 3501. NE01 0401. NH01 1201. NJ01 1202. NJ02 1205. NJ05 1207. NJ07 1210. NJ10 1211. NJ11 1302. NY02 1303. NY03 1304. NY04 1305. NY05 1306. NY06 1307. NY07 1308. NY08 1309. NY09 1310. NY10 1311. NY11 1314. NY14 1316. NY16 1317. NY17 1319. NY19 1320. NY20 1327. NY27 1329. NY29 1330. NY30 1331. NY31 2403. OH03 2407. OH07 2408. OH08 2418. OH18 7204. OR04 1401. PA01 1402. PA02 1407. PA07 1408. PA08 1413. PA13 1414. PA14 1418. PA18 1420. PA20 5402. TN02 5403. TN03 5404. TN04 4903. TX03 4906. TX06 4911. TX11 4913. TX13 4915. TX15 4918. TX18 4925. TX25 4926. TX26 4929. TX29 4930. TX30 4003. VA03 4004. VA04 4007. VA07 4008. VA08 4009. VA09 4010. VA10 7301. WA01 7302. WA02 7307. WA07 7308. WA08 2504. WI04 2505. WI05 2509. WI09 5601. WV01 6898. WY98 ============================== VAR 923017 92PRE/PO: ICPSR STATE COLUMNS 123 - 124 NUMERIC ICPSR STATE CODE ---------------- New England 01. Connecticut 02. Maine 03. Massachusetts 04. New Hampshire 05. Rhode Island 06. Vermont Middle Atlantic 11. Delaware 12. New Jersey 13. New York 14. Pennsylvania East North Central 21. Illinois 22. Indiana 23. Michigan 24. Ohio 25. Wisconsin West North Central 31. Iowa 32. Kansas 33. Minnesota 34. Missouri 35. Nebraska 36. North Dakota 37. South Dakota Solid South 40. Virginia 41. Alabama 42. Arkansas 43. Florida 44. Georgia 45. Louisiana 46. Mississippi 47. North Carolina 48. South Carolina 49. Texas Border States 51. Kentucky 52. Maryland 53. Oklahoma 54. Tennessee 55. Washington, D.C. 56. West Virginia Mountain States 61. Arizona 62. Colorado 63. Idaho 64. Montana 65. Nevada 66. New Mexico 67. Utah 68. Wyoming Pacific States 71. California 72. Oregon 73. Washington External States 81. Alaska 82. Hawaii 99. NA ============================== VAR 923018 92PRE/PO: FIPS STATE COLUMNS 125 - 126 NUMERIC FIPS STATE CODE --------------- States present in the 1992 sample have asterisks (*). 01. Alabama * 02. Alaska 04. Arizona * 05. Arkansas * 06. California * 08. Colorado * 09. Connecticut * 10. Delaware 11. Washington D.C. 12. Florida * 13. Georgia * 15. Delaware 16. Idaho 17. Illinois * 18. Indiana * 19. Iowa * 20. Kansas * 21. Kentucky 22. Louisiana * 23. Maine 24. Maryland* 25. Massachusetts * 26. Michigan * 27. Minesota * 28. Mississippi 29. Missouri * 30. Montana 31. Nebraska * 32. Nevada 33. New Hampshire * 34. New Jersey * 35. New Mexico 36. New York * 37. North Carolina * 38. North Dakota 39. Ohio * 40. Oklahoma 41. Oregon * 42. Pennsylvania * 44. Rhode Island 45. South Carolina 46. South Dakota 47. Tennessee * 48. Texas * 49. Utah 50. Vermont 51. Virginia * 53. Washington * 54. West Virginia * 55. Wisconsin * 56. Wyoming * ============================== VAR 923019 92PRE/PO: 1992 CONG DISTRICT COLUMNS 127 - 128 NUMERIC 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 1990 (panel respondents) or 1992 (cross-section respondents). This variable reflects the redistricting based on the 1990 Census, in effect for the 1992 General Election. Note that this is not necessarily the congressional district in which panel R's lived in 1992, due to mobility, nor is it necessarily the district in which an R, cross-section or panel, voted in 1992, since respondents may have two residences, move bewtween the Pre- and Post-Election studies, be voting from a previous residence, etc. 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 ============================== VAR 923020 92PRE/PO: 1990 CONG DISTRICT COLUMNS 129 - 130 NUMERIC 1990 CONGRESSIONAL DISTRICT NUMBER ---------------------------------- For panel respondents, this variable identifies the congressional district for the sample location in which R resided in 1990, as the district was configured before the 1990 Census-based redistricting. It is the same as the congressional district given for this respondent in the 1990 dataset. For cross-section 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 ============================== VAR 923021 92PRE/PO: TYPE RACE HOUSE COLUMNS 131 - 132 NUMERIC 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 V7001. Listed here are the House races present in the 1992 sample. SEE NOTE(S) 21 INCUMBENT CANDIDATE(S) 12. Democratic incumbent running -- Republican challenger 14. " " " -- Unopposed 21. Republican incumbent running -- Democratic challenger 24. " " " -- Unopposed 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 55. " " " " -- Dem. & Rep. candidates 65. Republican incumb. not running -- Dem. & Rep. candidates 85. No identifiable incumbent, Dem and Rep candidates in open race due to redistricting *Other-Third Party(s) or Independent ============================== VAR 923022 92PRE/PO: TYPE RACE SENATE COLUMNS 133 - 134 NUMERIC TYPE OF RACE: SENATE -------------------- SEE NOTE(S) 21 INCUMBENT CANDIDATE(S) 12. Democratic incumbent running -- Republican challenger 21. Republican incumbent running -- Democratic challenger 55. Democratic incumb. not running -- Dem. & Rep. candidates 65. Republican incumb. not running -- Dem. & Rep. candidates 81. Democratic incumbents -- no race in state 82. Republican incumbents -- no race in state 85. Democratic and Republican incumbents -- no race in state 95. Two Senate races, including one open race and one race with running Republican incumbent (CA)** ** Republican "incumbent" served partial term upon appointment by departing Senator. V7001: Was incumbent candidate respondent's representative in last Congress? (Textual Description Only--Actual variable location is as the last variable in the data file) Substantial reapportionment following the 1990 Census occurred between the elections to the 102nd Congress (1990) and the 103rd Congress (1992). Variables 3019 and 3020 give the 1992 and the 1990 congressional district numbers for the sample address in which the respondent resided at the time of their Pre-election interview. Redistricting between the 1990 and 1992 elections was quite extensive. As district boundary lines changed, it is possible that the incumbent running for re-election in a respondent's district was not the incumbent who had previously represented the segment in which the respondent lived. For example, for the 102nd Congress, Ann Arbor, Michigan was in Michigan's 2nd District represented by Carl Pursell. After redistricting, Ann Arbor was part of the 13th Congressional District whose incumbent, Representative William Ford, ran for re-election to the 103rd Congress. Ford's constituents now include Ann Arborites who had previously been part of the 2nd District. These constituents would be coded "2" on variable 7001, which basically records whether respondent was represented by the same or different incumbents in the 102nd and 103rd Congresses. 0. Neither of the candidates for the 103rd Congress runing in respondents district was an incumbent in the 102nd Congress. 1. The incumbent who ran for re-election to the 103rd Congress in the congressional district for the sample segment in which respondent resided in 1992, is the same incumbent who represented that segment in the 102nd Congress. 2. The incumbent who ran for re-election in respondent's district in 1992 did not represent the sample segment in which respondent lives in the 102nd Congress. 3. LA06: Two Republican incumbents ran in 1992, neither of whom represented this segment in the 102nd Congress. 9. Indeterminate; NA ============================== VAR 923023 92PRE: RELEASE COLUMNS 135 - 135 NUMERIC 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.) 1. Replicate 1, Released Sept.1st. 2. Replicate 2, Released Oct.1st. 3. Reserve Replicate 3, Not officially released [IWs conducted in error] 4. Reserve Replicate 4, Released Oct. 1st. 5. Reserve Replicate 5, Released Oct. 1st. ============================== VAR 923024 92PRE: RELEAS SUMMARY COLUMNS 136 - 136 NUMERIC 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. 1. Sample released Sept. 1, interview completed before Oct. 1 2. Sample released Sept. 1, interview completed between Oct. 1 - Nov. 2 3. Sample released Oct. 1, interview completed between Oct. 1 - Nov. 2 4. Sample intended to be released Oct. 1, but by error released and interview completed before Oct. 1 9. NA ============================== VAR 923025 92PRE: TIME START COLUMNS 137 - 140 NUMERIC A0. PRE-ELECTION: Beginning Time (local)--EXACT TIME NOW -------------------------------------------------------- 24-hour clock is used (0000-2359). ============================== VAR 923026 92PRE: INTERVIEW MONTH COLUMNS 141 - 142 NUMERIC PRE-ELECTION: Date of Interview: MONTH --------------------------------------- Code MONTH (09-11) 99. NA ============================== VAR 923027 92PRE: INTERVIEW DAY COLUMNS 143 - 144 NUMERIC PRE-ELECTION. Date Interview: DAY ----------------------------------- Code DAY OF MONTH (01-31) 99. NA ============================== VAR 923028 92PRE: INTERVIEW # COLUMNS 145 - 146 NUMERIC 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) ============================== VAR 923029 92PRE: IW LENGTH COLUMNS 147 - 149 NUMERIC PRE-ELECTION: INTERVIEW LENGTH IN MINUTES ----------------------------------------- The actual number of minutes (14-218) is coded, except: 999. NA ============================== VAR 923030 92PRE: EDIT LENGTH COLUMNS 150 - 152 NUMERIC PRE-ELECTION: POST-EDIT LENGTH, IN MINUTES ------------------------------------------ The actual number of minutes( 2-170) is coded, except: 999. NA ============================== VAR 923031 92PRE: IW MODE COLUMNS 153 - 153 NUMERIC 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 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. 1. Personal (face-to-face) 2. Telephone ============================== VAR 923032 92PRE: TOT # CALLS COLUMNS 154 - 155 NUMERIC PRE-ELECTION: TOTAL NUMBER OF CALLS TO OBTAIN INTERVIEW ------------------------------------------------------- Number of calls 1-32 is coded, except: 99. NA ============================== VAR 923033 92PRE: RESULT COLUMNS 156 - 156 NUMERIC 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. 01. INTERVIEW, complete 05. INTERVIEW, partial (short-forms were coded here) ============================== VAR 923034 92PRE: WHY TELEPHONE COLUMNS 157 - 157 NUMERIC PRE-ELECTION: SHORT-FORM-PANEL ONLY. Reasons for using a telephone questionnaire. ---------------------------------------------------------- 1. Assigned to Telephone by office 2. R moved out of sample 3. Other, specify 9. NA 0. Inap, 1-2, 6-7 in v3011 ============================== VAR 923035 92PRE: OBT R NAME COLUMNS 158 - 158 NUMERIC 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?") ------------------------------------------------------------ 1. Name obtained 5. Name not obtained 9. NA ============================== VAR 923036 92PRE: ADDR SAME COLUMNS 159 - 159 NUMERIC PRE-ELECTION RECONTACT: INTERVIEWER CHECKPOINT: ADDRESS "What is your address?" -------------------------------------------------------- 1. Identical to sample label address 2. Corrected version of sample label address 3. Different from sample label 9. NA ============================== VAR 923037 92PRE: ADDR DIFF COLUMNS 160 - 160 NUMERIC 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. 1. Mailing address 2. Address to which R is moving 3. Relative 4. Friend 5. Business 7. Other 9. NA 0. INAP, address not different or NA if different from sample label (1,2,9 in v3036) ============================== VAR 923038 92PRE: OBT TEL # COLUMNS 161 - 161 NUMERIC PRE-ELECTION RECONTACT: WAS R'S PHONE NUMBER OBTAINED? ("And what is your telephone number?)" ------------------------------------------------------- 1. Telephone number obtained 5. R has no phone 7. Phone number refused 9. NA ============================== VAR 923039 92PRE: TEL # IN DIR COLUMNS 162 - 162 NUMERIC PRE-ELECTION RECONTACT: "Is your phone number listed in the current telephone directory?" ------------------------------------------------------------ 1. Yes, listed 5. No, not listed 8. Not sure, don't know 9. NA 0. INAP, R has no phone or phone number refused/NA (5,7,9 in v3038) ============================== VAR 923040 92PRE: TEL IN R NAME COLUMNS 163 - 163 NUMERIC PRE-ELECTION RECONTACT: "Is your phone listed in your name?" ------------------------------------------------------------ 1. Yes (listed in R's name) 5. No (not listed in R's name) 9. Not sure 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) ============================== VAR 923041 92PRE: OTHER HOME COLUMNS 164 - 164 NUMERIC PRE-ELECTION RECONTACT: "Do you have another place of residence or somewhere else you live during different times of the year?" ----------------------------------------------------------- 1. Yes (R has another residence) 5. No (no other residence) 9. NA ============================== VAR 923042 92PRE: ADDR REC COLUMNS 165 - 165 NUMERIC 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?" ----------------------------------------------------------- 1. R gave contact information 5. R did not give contact information 9. NA ============================== VAR 923043 92PRE: PROBL USE TEL COLUMNS 166 - 166 NUMERIC 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? ----------------------------------------------------------- 1. Yes (reason exists) 5. No (no reason exists) 9. NA 0. INAP, 1992 Panel ============================== VAR 923044 92PRE: HU TYPE COLUMNS 167 - 168 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: DESCRIBE THE TYPE OF STRUCTURE IN WHICH THE RESPONDENT LIVES (SAMPLE ADDRESS) [completed by IWR] -------------------------------------------------------- 1. Mobile home 2. Detached single family 3. Multi family 4. Apartment house 5. Condo complex 7. Other (specify) 99. NA ============================== VAR 923045 92PRE: GATEKEEPER COLUMNS 169 - 169 NUMERIC 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] ------------------------------------------------------- 1. Yes 5. No 9. NA ============================== VAR 923046 92PRE: GK DESCRIPT COLUMNS 170 - 170 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: (IF BUILDING MANAGER/GUARD/GATEKEEPER): CHECK THE BOX WHICH BEST DESCRIBES THE SITUATION. [completed by IWR] ---------------------------------------------------- 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 2. Building manager/other gatekeeper must get permission from someone in R's HU before you are allowed to make contact with the household 7. Other (describe situation) 9. NA 0. INAP, 5,9 in v3045 ============================== VAR 923047 92PRE: REF CONV IND COLUMNS 171 - 171 NUMERIC 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. 0. Not a refusal conversion situation 1. Refusal conversion ============================== VAR 923048 92PRE: PERS LETTR COLUMNS 172 - 172 NUMERIC PRE-ELECTION: PERSUASION LETTER REQUESTED ----------------------------------------- 1. Yes 5. No 9. NA ============================== VAR 923049 92PRE: INCENTIVE COLUMNS 173 - 173 NUMERIC PRE-ELECTION: TYPE OF INCENTIVE SENT TO SELECTED HOUSEHOLD ---------------------------------------------------------- An incentive experiment was implemented in the 1991 Panel study to determine whether a modest incentive would improve response rate. Some respondents received a U of M pen along with a letter asking for their participation, others received the letter only. In 1992 all selected households were sent an incentive also with the usual advance letter. Respondents who had been sent a pen in 1991 were sent a book of stamps in 1992. 1. UM pen (panel and cross-section) 2. $2/stamps (panel only) 9. NA ============================== VAR 923050 92PRE: R PMT OFFERED COLUMNS 174 - 176 NUMERIC PRE-ELECTION: RESPONDENT PAYMENT OFFERED--AMOUNT ------------------------------------------------ Interviewers were authorized to offer payment to respondents who were reluctant to participate. 005. $5 offered as respondent payment 010. $10 offered as respondent payment 015. $15 offered as respondent payment 020. $20 offered as respondent payment 998. Respondent payment offered, NA how much 000. INAP, no respondent payment offered ============================== VAR 923051 92PRE: R PMT PAID COLUMNS 177 - 179 NUMERIC PRE-ELECTION: RESPONDENT PAYMENT PAID--AMOUNT --------------------------------------------- See variable 3050. 005. $5 paid as respondent payment 010. $10 paid as respondent payment 015. $15 paid as respondent payment 020. $20 paid as respondent payment 998. Respondent payment paid, NA how much 000. INAP, no respondent payment ============================== VAR 923052 92PRE: INIT REFUS COLUMNS 180 - 180 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: DID R REFUSE INITIALLY? ---------------------------------------------------------- 1. Yes 5. No 9. NA ============================== VAR 923053 92PRE: BREAK APPT COLUMNS 181 - 181 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: DID R BREAK ANY APPOINTMENT? -------------------------------------------------- 0. No appointments broken 1. One 2. Two or more 9. NA ============================== VAR 923054 92PRE: WASTE TIME COLUMNS 182 - 182 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: A. SURVEYS ARE A WASTE OF TIME --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR 923055 92PRE: VERY ILL COLUMNS 183 - 183 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: B. VERY ILL --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR 923056 92PRE: TOO BUSY COLUMNS 184 - 184 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: C. 'TOO BUSY' --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR 923057 92PRE: FAM SITUAT COLUMNS 185 - 185 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: D. STRESSFUL FAMILY SITUATION --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR 923058 92PRE: CONFIDENTL COLUMNS 186 - 186 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: E. CONFIDENTIALITY --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR 923059 92PRE: PRIVACY COLUMNS 187 - 187 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: F. INVASION OF PRIVACY --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR 923060 92PRE: RESIS OTHR COLUMNS 188 - 188 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: H. OTHER (SPECIFY) --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR 923061 FIPS STATE & COUNTY COLUMNS 189 - 193 NUMERIC 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 25017. 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 51041. 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 TRACT/ED INDICATOR COLUMNS 194 - 194 NUMERIC TRACT/ED INDICATOR ------------------ 1. Sample address is in a tracted and blocked area 2. Sample address is not in a blocked area (it was in a 1980 Enumeration District) ============================== VAR 923063 FIPS SMSA CODE COLUMNS 195 - 198 NUMERIC 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.) 0360. Anaheim-Santa Ana-Garden Grove, CA 0520. Atlanta, GA 0560. Atlantic City, NJ 0720. Baltimore, MD 1000. Birmingham, AL 1120. Boston, MA 1280. Buffalo, NY 1600. Chicago, IL 1800. Columbus, GA-AL 1920. Dallas-Ft Worth, TX 2000. Dayton, OH 2080. Denver-Boulder, CO 2120. Des Moines, IA 2160. Detroit, MI 2400. Eugene-Springfield, OR 2760. Fort Wayne, IN 2840. Fresno, CA 3000. Grand Rapids, MI 3360. Houston, TX 3600. Jacksonville, FL 3760. Kansas City, MO-KS 3840. Knoxville, TN 3980. Lakeland-Winter Haven, FL 4480. Los Angeles-Long Beach, CA 4760. Manchester, NH 4880. McAllen-Pharr-Edinburgh,TX 5000. Miami, FL 5080. Milwaukee, WI 5120. Mpls-St Paul,MN-WI 5380. Nassau-Suffolk, NY 5480. New Haven-West Haven, CT 5600. New York, NY-NJ 5640. Newark, NJ 6160. Philadelphia, PA-NJ 6200. Phoenix, AZ 6280. Pittsburgh, PA 6760. Richmond, VA 6780. Riverside-San Bernardino-Ontario, CA 6920. Sacramento, CA (1990 MSA definition) 6960. Saginaw, MI 7040. St. Louis, MO-IL 7360. San Francisco-Oakland,CA 7600. Seattle-Everett, WA 8080. Steubenville-Wierton, OH-WV 8800. Waco, TX 8840. Washington, DC-MD-VA 9000. Wheeling, WV-OH 9240. Worcester, MA (1990 MSA definition) 0000. INAP; location not in SMSA (MSA) ============================== VAR 923064 FIPS SCSA CODE COLUMNS 199 - 200 NUMERIC 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 10. Buffalo-Niagra Falls NY 14. Chicago-Gary-Lake County IL-IN-WI** 31. Dallas-Ft Worth TX (Since Dallas and Ft Worth were made separate PMSAs in 1990, this new CMSA was added in 1990) 34. Denver-Boulder CO (Since Denver and Boulder were made separate PMSAs in 1990, this new CMSA was added in 1990) 35. Detroit-Ann Arbor MI** 42. Houston-Galveston-Brazoria TX 49. Los Angeles-Anaheim-Riverside CA** 56. Miami-Fort Lauderdale FL 63. Milawaukee-Racine WI 70. New York-Northern New Jersey-Long Island NY-NJ-CT** 77. Philadelphia-Wilmington-Trenton PA-NJ-DE-MD** 78. Pittsburgh-Beaver Valley PA 84. San Francisco-Oakland-San Jose CA** 91. Seattle-Tacoma WA 00. INAP; location not in CMSA, this includes old code 32 (Dayton-Springfield, OH) which is nolonger consolidated in 1990 since Dayton and Springfield were combined in a single MSA ============================== VAR 923065 SIZE OF PLACE COLUMNS 201 - 202 NUMERIC 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): 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): 20. Rural (including rural places with less than 2500 population) 21. 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census places) 22. 10,000-29,999 23. 30,000-49,999 24. 50,000-99,999 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): 30. Under 50,000 (identified by OMB in 1990 as Central Cities) 31. 50,000-99,999 32. 100,000-149,000 33. 150,000-349,999 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. Rural (including rural places with less than 2,500 population) 41. 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census Places) 42. 10,000-29,999 43. 30,000-49,999 44. 50,000-99,999 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. 50. Rural (including places with less than 2,500 population) 51. 2,500-9,999 52. 10,000-29,999 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. ============================== VAR 923066 POPULATION IN 1000 COLUMNS 203 - 206 NUMERIC 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 ============================== VAR 923067 BELT CODE COLUMNS 207 - 207 NUMERIC 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". 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). 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) 3. Suburbs**** of the six largest CMSAs and 12 of the 15 next largest CMSA/MSAs 4. Suburbs of all other CMSA/MSAs 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 6. Outlying Area: includes all territory more than fifty miles from the central business district of a central city * 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 92SAMPL ERROR COLUMNS 208 - 210 NUMERIC SAMPLING ERROR CODE 1992 (FOR COMBINED PANEL/CROSS-SECTION ANALYSIS) ---------------------------------------------------------- This code contains information for computing sampling errors for "cross-section" analysis of combined panel and cross-section data. Contact NES project staff or ISR's Sampling Section for further details. ============================== VAR 923069 90SAMPL ERROR/PANEL COLUMNS 211 - 213 NUMERIC SAMPLING ERROR CODE (FOR PANEL-ONLY ANALYSIS) --------------------------------------------- This code contains information for computing sampling errors for longitudinal panel-only analysis. Contact NES Project Staff or ISR's Sampling Section for further details. ============================== VAR 923070 92PRE: # HUS AT SAMP COLUMNS 214 - 214 NUMERIC PRE-ELECTION, CROSS-SECTION: NUMBER OF HOUSEHOLD UNITS AT SAMPLE LOCATION ---------------------------------------------------------- 1. One HU 2. Two HUs 9. NA 0. INAP, 1992 Panel ============================== VAR 923071 92PRE: NEW ADDR COLUMNS 215 - 215 NUMERIC PRE-ELECTION, PANEL ONLY: RESPONDENT FOUND NOT LIVING AT SAMPLE LABEL ADDRESS, NEW ADDRESS IS: --------------------------------------------------------- Panel respondents who moved to areas where SRC doesn't have interviewing staff, were supposed to be questioned over the phone with an abbreviated version of the face to face questionnaire (Short-form). See variable 3011. 1. Within range 2. Out of range 3. Cannot obtain address 9. NA 0. INAP, 1992 Cross-section; R living at sample label address ============================== VAR 923072 92PRE: HU LST FRM COLUMNS 216 - 216 NUMERIC PRE-ELECTION, CROSS-SECTION: HOUSHOLD LISTING OBTAINED FROM: ------------------------------------------------------- NOTE: The Household listing in the cover sheet is used mainly to "select" the respondent, consequently no Household information was gathered for Panel respondents (Inap. in V3072-3082). 1. HU member 2. Neighbor 3. Apartment manager 5. Observation 7. Other (specify) 9. NA 0. INAP, 1992 Panel ============================== VAR 923073 92PRE: SEL TABLE COLUMNS 217 - 218 NUMERIC PRE-ELECTION, CROSS-SECTION: 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 01. Table A 02. Table B1 03. Table C 04. Table D 05. Table E1 06. Table F 07. Table A 08. Table B2 09. Table C 10. Table D 11. Table E2 12. Table F 00. INAP, 1992 Panel case ============================== VAR 923074 92PRE: R PERS # COLUMNS 219 - 219 NUMERIC PRE-ELECTION, CROSS-SECTION: (FROM SELECTION TABLE) PERSON NUMBER SELECTED AS R ---------------------------------------------------------- See Note at 3072. 1. R is person numbered 1 2. R is person numbered 2 3. R is person numbered 3 4. R is person numbered 4 5. R is person numbered 5 6. R is person numbered 6 0. INAP, 1992 Panel ============================== VAR 923075 92PRE: # PERSONS COLUMNS 220 - 220 NUMERIC PRE-ELECTION, CROSS-SECTION: 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, 1992 Panel ============================== VAR 923076 92PRE: # ELIG ADULTS COLUMNS 221 - 221 NUMERIC PRE-ELECTION, CROSS-SECTION: 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. 01. One eligible adult in HH 02. Two eligible adults in HH 03. Three eligible adults in HH 04. Four eligible adults in HH 05. Five eligible adults in HH 00. INAP, 1992 panel ============================== VAR 923077 92PRE: HH COMP COLUMNS 222 - 223 NUMERIC PRE-ELECTION, CROSS-SECTION: HOUSEHOLD COMPOSITION CODE -------------------------------------------------------- The HH composition code is derived from information provided in the household listing. "Adults" are 18 years of age (by election da@y) 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. 10. 1 adult male HHR 11. 1 adult male HHR plus 1 other non-relative 12. 1 adult male HHR plus 2 or more non-relatives 20. 1 adult female HHR 21. 1 adult female HHR plus 1 other non-relative 22. 1 adult female HHR plus 2 or more non-relatives 30. 1 married couple: no children or all children living at home are under 18 40. 1 married couple plus 1 other relative 50. 1 married couple plus 2 or more other relatives 51. 1 married couple plus 1 other non-relative 52. 1 married couple plus 2 or more non-relatives 60. 1 unmarried male HHR plus 1 other relative 70. 1 unmarried male HHR plus 2 or more other relatives 80. 1 unmarried female HHR plus 1 other relative 90. 1 unmarried female HHR plus 2 or more other relatives 95. Relatives of opposite sex, unclear who is HHR 00. INAP, 1992 Panel ============================== VAR 923078 92PRE: HH DESCR ALL COLUMNS 224 - 225 NUMERIC PRE-ELECTION: HOUSEHOLD DESCRIPTION FOR PANEL AND CROSS- SECTION -------------------------------------------------------- This variable was built for cross-section cases 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 cross-section 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. Since there was no Household Listing in 1992 for panel respondents, this variable was built using survey variables: (1) questions Y55-Y55d for information about R's children and children for which R is responsible living with R at least half time; and (2), since no HH composition variable is present, marital status (Y2) and question Y39 for information about other "adults." This means that for Panel cases coded 30-31, a person counted as another "adult" may include a household member 14-17 years old as well as persons 18 or older. Panel cases coded 10 and 11 correspond to 1 in Y39, codes 20 and 21 correspond to 1 and 7 in Y2 (marital status), and codes 30-31 correspond to cases coded 2 in Y39 and not 1 nor 7 in Y2. In all cases coded 20-21, adults other than R and spouse may also be in household. 10. One adult (R), no children 11. One adult (R), child/ren 20. Married/partnered couple including R, no children 21. Married/partnered couple including R, child/ren 30. 2 or more adults (R not married), no children 31. 2 or more adults (R not married), child/ren 99. NA 00. INAP, 3-4, 6-7 in FS3 ============================== VAR 923079 92PRE: KID 0 TO 5 COLUMNS 226 - 226 NUMERIC PRE-ELECTION, CROSS-SECTION: NUMBER OF CHILDREN UNDER 6 YEARS OLD IN HH -------------------------------------------------------- See Note at 3072. This number is derived from information provided in the household listing. 1. One child 2. . 3. . 4. . 5. Five children 9. NA; INAP, 1992 Panel ============================== VAR 923080 92PRE: KID 6 TO 9 COLUMNS 227 - 227 NUMERIC PRE-ELECTION, CROSS-SECTION: NUMBER OF CHILDREN 6-9 YEARS OLD IN HH ---------------------------------------------------------- See Note at 3072. This number is derived from information provided in the household listing. 1. One child 2. . 3. . 4. . 5. Five children 9. NA; INAP, 1992 Panel ============================== VAR 923081 92PRE: KID 10 TO 13 COLUMNS 228 - 228 NUMERIC PRE-ELECTION, CROSS-SECTION: NUMBER OF CHILDREN 10-13 YEARS OLD ------------------------------------------------------------ See Note at 3081. This number is derived from information provided in the household listing. 1. One child 2. . 3. . 4. . 5. Five children 9. NA; INAP, 1992 Panel ============================== VAR 923082 92PRE: KID 14 TO 17 COLUMNS 229 - 229 NUMERIC PRE-ELECTION, CROSS-SECTION: 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). 1. One child 2. . 3. . 4. . 5. Five children 9. NA; INAP, 1992 Panel ============================== VAR 923083 92PRE: SUPERVISOR ID COLUMNS 230 - 233 NUMERIC PRE-ELECTION: INTERVIEWER'S ID NUMBER ------------------------------------- Code actual NUMBER (0001-9999) from interviewer's label ============================== VAR 923084 SUPERVISOR COLUMNS 234 - 237 NUMERIC PRE-ELECTION: SUPERVISOR ID NUMBER ---------------------------------- SRC Interviewers report to regional Supervisors, whose ID numbers are entered here. These numbers range from 2576- 9958. ============================== VAR 923085 92PRE: IWER RACE COLUMNS 238 - 238 NUMERIC PRE-ELECTION: INTERVIEWER'S RACE -------------------------------- 1. White 2. Black 3. Native American 4. Asian 7. Other 9. NA ============================== VAR 923086 92PRE: IWER ETHNICITY COLUMNS 239 - 239 NUMERIC PRE-ELECTION: INTERVIEWER'S ETHNICITY ------------------------------------- 0. No ethnic identity coded 1. Hispanic 7. Other 9. NA ============================== VAR 923087 92PRE: IWER AGE BRACK COLUMNS 240 - 240 NUMERIC PRE-ELECTION: INTERVIEWER'S AGE BRACKETED ----------------------------------------- 1. 18-34 years 2. 35-40 3. 41-45 4. 46-50 5. 51-55 6. 56-60 7. 61-64 8. 65-79 9. NA ============================== VAR 923088 92PRE: IWER YRS EXPER COLUMNS 241 - 242 NUMERIC PRE-ELECTION: INTERVIEWER'S YEARS OF EXPERIENCE -- up to September 1, 1992 -------------------------------------------------------- 00. Less than one year . . 33. Thirty three years ============================== VAR 923089 92PRE: IWER GENDER COLUMNS 243 - 243 NUMERIC PRE-ELECTION: INTERVIEWER'S GENDER ---------------------------------- 1. Male 2. Female 9. NA ============================== VAR 923090 92PRE: IWER EDUC BRACK COLUMNS 244 - 244 NUMERIC PRE-ELECTION: INTERVIEWER'S EDUCATION ------------------------------------- 1. Some high school/HS diploma/equivalency 2. Some College 3. College: degree at Bachelor's level or greater 9. NA There are no variables in range 3091-3100 ============================== VAR 923101 92PRE: A1. ATTENT CAMP COLUMNS 245 - 245 NUMERIC 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? ------------------------------------------------------------ 1. VERY MUCH INTERESTED 3. SOMEWHAT INTERESTED 5. NOT MUCH INTERESTED 8. DK 9. NA ============================== VAR 923102 92PRE: A2. COLUMNS 246 - 246 NUMERIC A2. Who do you think will be elected President in November? ------------------------------------------------------------ 1. BUSH 2. CLINTON 3. PEROT (volunteered) 7. OTHER, SPECIFY: 8. DK 9. NA ============================== VAR 923103 92PRE: A2a/b. COLUMNS 247 - 247 NUMERIC 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? ----------------------------------------------------------- 1. CLOSE RACE 3. WIN BY QUITE A BIT 8. DK 9. NA 0. Inap, 9 in A2 ============================== VAR 923104 92PRE: A3. COLUMNS 248 - 248 NUMERIC 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?) ------------------------------------------------------------ 1. BUSH 2. CLINTON 3. PEROT (volunteered) 7. OTHER, SPECIFY: 8. DK 9. NA ============================== VAR 923105 92PRE: A3a/b COLUMNS 249 - 249 NUMERIC 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? ------------------------------------------------------------ 1. CLOSE RACE 3. WIN BY QUITE A BIT 8. DK 9. NA 0. Inap, 9 in A3 ============================== VAR 923106 92PRE: A4. COLUMNS 250 - 250 NUMERIC 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? ---------------------------------------------------------- 1. CARE A GOOD DEAL 3. DON'T CARE VERY MUCH 8. DK 9. NA ============================== VAR 923107 92PRE: A5. COLUMNS 251 - 251 NUMERIC 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? ----------------------------------------------------------- 1. YES, DID VOTE 5. NO, DIDN'T VOTE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923108 92PRE: A5a. COLUMNS 252 - 252 NUMERIC A5a. Which one did you vote for? --------------------------------- 1. BUSH 2. DUKAKIS 5. OTHER 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in A5 ============================== VAR 923109 92PRE: B1. LIKES BUSH COLUMNS 253 - 253 NUMERIC 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? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR 923110 92PRE: B1a. MENTION 1 COLUMNS 254 - 257 NUMERIC B1a(1). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1 ============================== VAR 923111 92PRE: B1a. MENTION 2 COLUMNS 258 - 261 NUMERIC B1a(2). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1 ============================== VAR 923112 92PRE: B1a. MENTION 3 COLUMNS 262 - 265 NUMERIC B1a(3). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1 ============================== VAR 923113 92PRE: B1a. MENTION 4 COLUMNS 266 - 269 NUMERIC B1a(4). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1 ============================== VAR 923114 92PRE: B1a. MENTION 5 COLUMNS 270 - 273 NUMERIC B1a(5). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1 ============================== VAR 923115 92PRE: B2. DISLIKE BUSH; COLUMNS 274 - 274 NUMERIC B2. Is there anything in particular about Mr. Bush that might make you want to vote against him? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923116 92PRE: B2a. MENTION 1 COLUMNS 275 - 278 NUMERIC B2a(1). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2 ============================== VAR 923117 92PRE: B2a. MENTION 2 COLUMNS 279 - 282 NUMERIC B2a(2). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2 ============================== VAR 923118 92PRE: B2a. MENTION 3 COLUMNS 283 - 286 NUMERIC B2a(3). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2 ============================== VAR 923119 92PRE: B2a. MENTION 4 COLUMNS 287 - 290 NUMERIC B2a(4). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2 ============================== VAR 923120 92PRE: B2a. MENTION 5 COLUMNS 291 - 294 NUMERIC B2a(5). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2 ============================== VAR 923121 92PRE: B3. LIKES CLINTON COLUMNS 295 - 295 NUMERIC B3. Is there anything in particular about Mr. Clinton that might make you want to vote for him? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923122 92PRE: B3a. MENTION 1 COLUMNS 296 - 299 NUMERIC B3a(1). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3 ============================== VAR 923123 92PRE: B3a. MENTION 2 COLUMNS 300 - 303 NUMERIC B3a(2). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3 ============================== VAR 923124 92PRE: B3a. MENTION 3 COLUMNS 304 - 307 NUMERIC B3a(3). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3 ============================== VAR 923125 92PRE: B3a. MENTION 4 COLUMNS 308 - 311 NUMERIC B3a(4). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3 ============================== VAR 923126 92PRE: B3a. MENTION 5 COLUMNS 312 - 315 NUMERIC B3a(5). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3 ============================== VAR 923127 92PRE: B4. DSLKE CLINTON COLUMNS 316 - 316 NUMERIC B4. Is there anything in particular about Mr. Clinton that might make you want to vote against him? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923128 92PRE: B4a. MENTION 1 COLUMNS 317 - 320 NUMERIC B4a(1). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4 ============================== VAR 923129 92PRE: B4a. MENTION 2 COLUMNS 321 - 324 NUMERIC B4a(2). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4 ============================== VAR 923130 92PRE: B4a. MENTION 3 COLUMNS 325 - 328 NUMERIC B4a(3). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4 ============================== VAR 923131 92PRE: B4a. MENTION 4 COLUMNS 329 - 332 NUMERIC B4a(4). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4 ============================== VAR 923132 92PRE: B4a. MENTION 5 COLUMNS 333 - 336 NUMERIC B4a(5). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4 ============================== VAR 923133 92PRE: B4b. LIKE PEROT COLUMNS 337 - 337 NUMERIC 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? ----------------------------------------------------------- 1. YES 5. NO 7. Interview taken before question was added 8. DON'T KNOW 9. NA ============================== VAR 923134 92PRE: B4c. MENTION 1 COLUMNS 338 - 341 NUMERIC 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.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4b; no further mention ============================== VAR 923135 92PRE: M4c. MENTION 2 COLUMNS 342 - 345 NUMERIC B4c(2). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4b; no further mention ============================== VAR 923136 92PRE: B4c. MENTION 3 COLUMNS 346 - 349 NUMERIC B4c(3). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4b; no further mention ============================== VAR 923137 92PRE: B4c. MENTION 4 COLUMNS 350 - 353 NUMERIC B4c(4). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4b; no further mention ============================== VAR 923138 92PRE: B4c. MENTION 5 COLUMNS 354 - 357 NUMERIC B4c(5). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4b; no further mention ============================== VAR 923139 92PRE: B4d. DISLKE PEROT COLUMNS 358 - 358 NUMERIC 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? ----------------------------------------------------------- 1. YES 5. NO 7. Interview taken before question was asked 8. DON'T KNOW 9. NA ============================== VAR 923140 92PRE: B4e. MENTION 1 COLUMNS 359 - 362 NUMERIC 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.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention ============================== VAR 923141 92PRE: B4e. MENTION 2 COLUMNS 363 - 366 NUMERIC B4e(2). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention ============================== VAR 923142 92PRE: B4e. MENTION 3 COLUMNS 367 - 370 NUMERIC B4e(3). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention ============================== VAR 923143 92PRE: B4e. MENTION 4 COLUMNS 371 - 374 NUMERIC B4e(4). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention ============================== VAR 923144 92PRE: B4e. MENTION 5 COLUMNS 375 - 378 NUMERIC B4e(5). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention ============================== VAR 923145 92PRE: B5. COLUMNS 379 - 379 NUMERIC 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? ---------------------------------------------------------- 1. VERY SATISFIED 2. SOMEWHAT SATISFIED 3. NOT VERY SATISFIED 4. NOT AT ALL SATISFIED 8. DK 9. NA There are no variables in range 3146-3200 ============================== VAR 923201 92PRE: C1. COLUMNS 380 - 380 NUMERIC C1. How many days in the past week did you watch the news on TV? ---------------------------------------------------------- Code NUMBER OF DAYS (0-7) 0. NONE 1. ONE DAY 2. TWO DAYS 3. THREE DAYS 4. FOUR DAYS 5. FIVE DAYS 6. SIX DAYS 7. EVERY DAY 8. DK 9. NA; Inap, 3-4, 6-7 in V3011 ============================== VAR 923202 92PRE: C1A. COLUMNS 381 - 381 NUMERIC 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? ------------------------------------------------------------ 1. A GREAT DEAL 2. QUITE A BIT 3. SOME 4. VERY LITTLE 5. NONE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in C1 ============================== VAR 923203 92PRE: C2. COLUMNS 382 - 382 NUMERIC C2. How many days in the past week did you read a daily newspaper? -------------------------------------------------------- Code NUMBER OF DAYS (1-7) 1. ONE DAY 2. . 3. . 4. . 5. . 6. . 7. EVERY DAY 8. DK 9. NA; Inap, 3-4, 6-7 in V3011 0. NONE ============================== VAR 923204 92PRE: C2a. COLUMNS 383 - 383 NUMERIC C2a. Did you read about the campaign in any newspaper? ------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in C2 ============================== VAR 923205 92PRE: C2b. COLUMNS 384 - 384 NUMERIC 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? ------------------------------------------------------------ 1. A GREAT DEAL 2. QUITE A BIT 3. SOME 4. VERY LITTLE 5. NONE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in C2; 5, 8-9 in C2a ============================== VAR 923206 92PRE: C3. COLUMNS 385 - 385 NUMERIC C3. How about magazines -- did you read about the campaign in any magazines? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923207 92PRE: C3a. COLUMNS 386 - 386 NUMERIC 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? --------------------------------------------------------- 1. A GREAT DEAL 2. QUITE A BIT 3. SOME 4. VERY LITTLE 5. NONE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in C3 ============================== VAR 923208 92PRE: C4. COLUMNS 387 - 387 NUMERIC C4. Did you listen to any speeches or discussions about the campaign on the radio? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923209 92PRE: C4a. COLUMNS 388 - 388 NUMERIC C4a. Would you say you listened to a good many, several, or just one or two? ----------------------------------------------------------- 1. GOOD MANY 3. SEVERAL 5. ONE OR TWO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in C4 ============================== VAR 923210 92PRE: C5. COLUMNS 389 - 389 NUMERIC C5. Do you listen to or watch talk shows on radio or tv where people call in to voice their opinions? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923211 92PRE: C6. COLUMNS 390 - 390 NUMERIC C6. Do you recall seeing any presidential campaign advertisements on television? --------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923212 92PRE:C6A(1) COLUMNS 391 - 393 NUMERIC 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.) ---------------------------------------------------------- SEE NOTE(S) 18 001. . . 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 ============================== VAR 923213 92PRE:C6A(2) COLUMNS 394 - 396 NUMERIC 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.) ---------------------------------------------------------- SEE NOTE(S) 18 001. . . 997. 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information ============================== VAR 923214 92PRE:C6A(3) COLUMNS 397 - 399 NUMERIC 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.) ---------------------------------------------------------- SEE NOTE(S) 18 001. . . 997. 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information ============================== VAR 923215 92PRE:C6A(4) COLUMNS 400 - 402 NUMERIC 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.) ---------------------------------------------------------- SEE NOTE(S) 18 001. . . 997. 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information ============================== VAR 923216 92PRE:C6A(5) COLUMNS 403 - 405 NUMERIC 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.) ---------------------------------------------------------- SEE NOTE(S) 18 001. . . 997. 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information There are no variables in range 3217-3300 ============================== VAR 923301 92PRE: D1. VOTE PRIMARY COLUMNS 406 - 406 NUMERIC 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)? ------------------------------------------------------------ 1. YES, VOTED 5. NO, DIDN'T VOTE 8. DK, CAN'T REMEMBER 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923302 92PRE: D1a. VOTE WHICH COLUMNS 407 - 407 NUMERIC D1a. Did you vote in the Republican or the Democratic (primary/caucus)? ------------------------------------------------------ 1. REPUBLICAN 5. DEMOCRATIC 8. DK, CAN'T REMEMBER 9. NA 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in D1 ============================== VAR 923303 92PRE: D1b. COLUMNS 408 - 409 NUMERIC D1b. (BALLOT CARD) Here is a list of the Republican Presidential candidates in your state's (primary/caucus). Who did you vote for? --------------------------------------------------------- SEE NOTE(S) 22 01. George Bush 02. Patrick Buchanan 03. Uncommitted 90. Ross Perot (write-in) 96. Didn't vote for a presidential candidate/voted only for state or local candidates 97. Other 98. DK, CAN'T REMEMBER 99. NA 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in D1 or D1a ============================== VAR 923304 92PRE: D1c. COLUMNS 410 - 411 NUMERIC D1c. (BALLOT CARD) Here is a list of the Democratic Presidential candidates in your state's (primary/caucus). Who did you vote for? --------------------------------------------------------- 01. Bill Clinton 02. Paul Tsongas 03. Jerry Brown 04. Bob Kerry 05. Tom Harkin 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 97. Other 98. DK, CAN'T REMEMBER 99. NA 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in D1; 1, 8-9 in D1a ============================== VAR 923305 92PRE: D2a. THERM BUSH COLUMNS 412 - 414 NUMERIC 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. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR 923306 92PRE: D2b. TH CLINTON COLUMNS 415 - 417 NUMERIC D2b. Bill Clinton ---------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR 923307 92PRE: D2c. TH PEROT COLUMNS 418 - 420 NUMERIC D2c. Ross Perot -------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR 923308 92PRE: D2d. TH QUAYLE COLUMNS 421 - 423 NUMERIC D2d. Dan Quayle -------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR 923309 92PRE: D2e. TH GORE COLUMNS 424 - 426 NUMERIC D2e. Albert Gore --------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR 923310 92PRE: D2f. TH A HILL COLUMNS 427 - 429 NUMERIC D2f. Anita Hill -------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR 923311 92PRE: D2g. FOLEY COLUMNS 430 - 432 NUMERIC 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. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR 923312 92PRE: D2h. TH B BUSH COLUMNS 433 - 435 NUMERIC D2h. Barbara Bush ---------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR 923313 92PRE: D2j. TH HILLARY COLUMNS 436 - 438 NUMERIC D2j. Hillary Clinton ------------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR 923314 92PRE: D2k. THOMAS COLUMNS 439 - 441 NUMERIC D2k. Clarence Thomas ------------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR 923315 92PRE: D2m. BUCHANAN COLUMNS 442 - 444 NUMERIC D2m. Pat Buchanan ---------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR 923316 92PRE: D2n. TH JACKSON COLUMNS 445 - 447 NUMERIC D2n. Jesse Jackson ----------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR 923317 92PRE: D3a. TH DEM PTY COLUMNS 448 - 450 NUMERIC 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. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 923318 92PRE: D3b. TH REP PTY COLUMNS 451 - 453 NUMERIC D3b. The Republican Party ------------------------------------------------ Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 923319 92PRE: D4. COLUMNS 454 - 454 NUMERIC D4. Do you approve or disapprove of the way George Bush is handling his job as president? ----------------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DK 9. NA ============================== VAR 923320 92PRE: D4a/b. BUSH APPRV COLUMNS 455 - 455 NUMERIC D4a. Do you approve strongly or not strongly? D4b. Do you disapprove strongly or not strongly? ------------------------------------------------- 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 8. DK 9. NA 0. Inap, 8-9 in D4 ============================== VAR 923321 92PRE: D5. COLUMNS 456 - 456 NUMERIC D5. Do you approve or disapprove of the way George Bush is handling our relations with foreign countries? ----------------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DK 9. NA ============================== VAR 923322 92PRE: D5a/b. BUSH FORGN COLUMNS 457 - 457 NUMERIC D5a. Do you approve strongly or not strongly? D5b. Do you disapprove strongly or not strongly? ------------------------------------------------- 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 8. DK 9. NA 0. Inap, 8-9 in D5 ============================== VAR 923323 92PRE: D6. COLUMNS 458 - 458 NUMERIC D6. Do you approve or disapprove of the way George Bush is handling the economy? ----------------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DK 9. NA ============================== VAR 923324 92PRE: D6a/b. BUSH ECON COLUMNS 459 - 459 NUMERIC D6a. Do you approve strongly or not strongly? D6b. Do you disapprove strongly or not strongly? ------------------------------------------------- 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 8. DK 9. NA 0. Inap, 8-9 in D6 ============================== VAR 923325 92PRE: D7. COLUMNS 460 - 460 NUMERIC D7. Do you approve or disapprove of the way George Bush is handling the crisis in the Persian Gulf? ----------------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DK 9. NA ============================== VAR 923326 92PRE: D7a/b. BUSH GOLF COLUMNS 461 - 461 NUMERIC D7a. Do you approve strongly or not strongly? D7b. Do you disapprove strongly or not strongly? ------------------------------------------------- 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 8. DK 9. NA 0. Inap, 8-9 in D7 ============================== VAR 923327 92PRE: D8a. COLUMNS 462 - 462 NUMERIC 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? ------------------------------------------------------------ 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. PEROT (volunteered) 8. DK 9. NA ============================== VAR 923328 92PRE: D8b. COLUMNS 463 - 463 NUMERIC D8b. handling foreign affairs? ---------------------------------------------------- 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. PEROT (volunteered) 8. DK 9. NA ============================== VAR 923329 92PRE: D8c. COLUMNS 464 - 464 NUMERIC D8c. solving the problem of poverty? ------------------------------------------------------------ 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. PEROT (volunteered) 8. DK 9. NA ============================== VAR 923330 92PRE: D8d. COLUMNS 465 - 465 NUMERIC D8d. handling the problem of pollution and protecting the environment? ---------------------------------------------------- 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. PEROT (volunteered) 8. DK 9. NA ============================== VAR 923331 92PRE: D8e. COLUMNS 466 - 466 NUMERIC D8e. making health care more affordable? ----------------------------------------------------------- 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. PEROT (volunteered) 8. DK 9. NA ============================== VAR 923332 92PRE: D8f. COLUMNS 467 - 467 NUMERIC D8f. reducing the budget deficit? ---------------------------------------------------- 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. PEROT (volunteered) 8. DK 9. NA There are no variables in range 3333-3400 ============================== VAR 923401 92PRE: E1. LIKES DEM PTY COLUMNS 468 - 468 NUMERIC 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? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR 923402 92PRE: E1a. MENTION 1 COLUMNS 469 - 472 NUMERIC 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.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E1 ============================== VAR 923403 92PRE: E1a. MENTION 2 COLUMNS 473 - 476 NUMERIC E1a(2). [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E1 ============================== VAR 923404 92PRE: E1a. MENTION 3 COLUMNS 477 - 480 NUMERIC E1a(3). [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E1 ============================== VAR 923405 92PRE: E1a. MENTION 4 COLUMNS 481 - 484 NUMERIC E1a(4). [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E1 ============================== VAR 923406 92PRE: E1a. MENTION 5 COLUMNS 485 - 488 NUMERIC E1a(5). [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E1 ============================== VAR 923407 92PRE: E2. DSLKE DEM PTY COLUMNS 489 - 489 NUMERIC E2. Is there anything in particular that you don't like about the Democratic Party? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923408 92PRE: E2a. MENTION 1 COLUMNS 490 - 493 NUMERIC 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.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E2 ============================== VAR 923409 92PRE: E2a. MENTION 2 COLUMNS 494 - 497 NUMERIC 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.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E2 ============================== VAR 923410 92PRE: E2a. MENTION 3 COLUMNS 498 - 501 NUMERIC 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.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E2 ============================== VAR 923411 92PRE: E2a. MENTION 4 COLUMNS 502 - 505 NUMERIC 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.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E2 ============================== VAR 923412 92PRE: E2a. MENTION 5 COLUMNS 506 - 509 NUMERIC 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.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E2 ============================== VAR 923413 92PRE: E3. LIKES REP PTY COLUMNS 510 - 510 NUMERIC E3. Is there anything in particular that you like about the Republican Party? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR 923414 92PRE: E3a. MENTION 1 COLUMNS 511 - 514 NUMERIC 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.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E3 ============================== VAR 923415 92PRE: E3a. MENTION 2 COLUMNS 515 - 518 NUMERIC E3a(2). [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E3 ============================== VAR 923416 92PRE: E3a. MENTION 3 COLUMNS 519 - 522 NUMERIC E3a(3). [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E3 ============================== VAR 923417 92PRE: E3a. MENTION 4 COLUMNS 523 - 526 NUMERIC E3a(4). [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E3 ============================== VAR 923418 92PRE: E3a. MENTION 5 COLUMNS 527 - 530 NUMERIC E3a(5). [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E3 ============================== VAR 923419 92PRE: E4. DSLKE REP PTY COLUMNS 531 - 531 NUMERIC E4. Is there anything in particular that you don't like about the Republican Party? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923420 92PRE: E4a. MENTION 1 COLUMNS 532 - 535 NUMERIC 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.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E4 ============================== VAR 923421 92PRE: E4a. MENTION 2 COLUMNS 536 - 539 NUMERIC 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.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E4 ============================== VAR 923422 92PRE: E4a. MENTION 3 COLUMNS 540 - 543 NUMERIC 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.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E4 ============================== VAR 923423 92PRE: E4a. MENTION 4 COLUMNS 544 - 547 NUMERIC 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.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E4 ============================== VAR 923424 92PRE: E4a. MENTION 5 COLUMNS 548 - 551 NUMERIC 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.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E4 ============================== VAR 923425 92PRE: F1. COLUMNS 552 - 552 NUMERIC 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? ----------------------------------------------------------- 1. BETTER OFF 3. SAME 5. WORSE OFF 8. DK 9. NA ============================== VAR 923426 92PRE: F1a/b. R FINANC COLUMNS 553 - 553 NUMERIC F1a. Is that much better off or somewhat better off? F1b. Is that much worse off or somewhat worse off? ----------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in F1 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in F1 ============================== VAR 923427 92PRE: F2. COLUMNS 554 - 554 NUMERIC 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? --------------------------------------------------------- 1. BETTER YEAR FROM NOW 3. SAME 5. WORSE YEAR FROM NOW 8. DK 9. NA ============================== VAR 923428 92PRE:F2A/B COLUMNS 555 - 555 NUMERIC F2a. Is that much better off or somewhat better off? F2b. Is that much worse off or somewhat worse off? ----------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in F2 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in F2 ============================== VAR 923429 92PRE: F3. COLUMNS 556 - 556 NUMERIC 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? ---------------------------------------------------------- 1. GONE UP MORE 3. STAYED ABOUT EVEN 5. FALLEN BEHIND 8. DK 9. NA ============================== VAR 923430 92PRE: F3a/b. COST LIVNG COLUMNS 557 - 557 NUMERIC F3a. Has it gone up a lot more or a little more? F3b. Has it fallen behind a lot or a little? ------------------------------------------------- 1. GONE UP A LOT 2. GONE UP A LITTLE 3. Same; 3 in F3 4. FALLEN BEHIND A LITTLE 5. FALLEN BEHIND A LOT 8. DK 9. NA 0. Inap, 8-9 in F3 ============================== VAR 923431 92PRE: F4. COLUMNS 558 - 558 NUMERIC 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? --------------------------------------------------------- 1. BETTER OFF 3. HAVEN'T MADE MUCH DIFFERENCE 5. WORSE OFF 8. DK 9. NA ============================== VAR 923432 92PRE: F4a/b. COLUMNS 559 - 559 NUMERIC F4a. Is that much better off or somewhat better off? F4b. Is that much worse off or somewhat worse off? ----------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in F4 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in F4 ============================== VAR 923433 92PRE: F5. COLUMNS 560 - 560 NUMERIC 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? ---------------------------------------------------------- 1. BEEN ABLE TO BUY 5. HAD TO PUT OFF BUYING 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923434 92PRE: F6. COLUMNS 561 - 561 NUMERIC 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? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923435 92PRE: F7a. BORROW COLUMNS 562 - 562 NUMERIC 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? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923436 92PRE: F7b. USE SAVING COLUMNS 563 - 563 NUMERIC F7b. (Did you) dip into your savings? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923437 92PRE: F7c. SEC JOB COLUMNS 564 - 564 NUMERIC F7c. (Did you) look for a job, look for a second job, or try to work more hours at your present job? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923438 92PRE: F8. COLUMNS 565 - 565 NUMERIC F8. Over the past year have you (and your family) been able to save any money? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923439 92PRE: F9. COLUMNS 566 - 566 NUMERIC F9. This past year have you (or anyone in your family living here) fallen behind in rent or house payments? ------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923440 92PRE: F10a. SOC SEC COLUMNS 567 - 567 NUMERIC F10. (RB, P. 5) Do you (or any family member living with you) currently receive payments from... F10a. ...Social Security? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923441 92PRE: F10b. FOOD STAMP COLUMNS 568 - 568 NUMERIC F10b. ...Food Stamps? ----------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923442 92PRE: F10c. MEDICARE COLUMNS 569 - 569 NUMERIC F10c. ...Medicare? ----------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923443 92PRE: F10d. MEDICAID COLUMNS 570 - 570 NUMERIC F10d. ...Medicaid? ----------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923444 92PRE: F10e. UNEMPLOYM COLUMNS 571 - 571 NUMERIC F10e. ...Unemployment Compensation? ----------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923445 92PRE: F10f. FDC COLUMNS 572 - 572 NUMERIC F10f. ...Aid to Families with Dependent Children? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923446 92PRE: F10G. VET BENF COLUMNS 573 - 573 NUMERIC F10g. ...Veterans Benefits? ------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR 923447 92PRE: F10h. PENSION COLUMNS 574 - 574 NUMERIC F10h. ...Retirement pensions for federal government employees? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923448 92PRE: F10j. DISABILITY COLUMNS 575 - 575 NUMERIC F10j. ...Disability payments? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923449 92PRE: F10k. WORK COMP COLUMNS 576 - 576 NUMERIC F10k. ...Workman's compensation? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR 923450 92PRE: F11. COLUMNS 577 - 577 NUMERIC 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? ----------------------------------------------------------- 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. Perot (volunteered) 8. DK 9. NA There are no variables in range 3451-3500 ============================== VAR 923501 92PRE: G1a. B ANGRY COLUMNS 578 - 578 NUMERIC 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? ------------------------------------------------------------ 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR 923502 92PRE: G1b. B HOPEFUL COLUMNS 579 - 579 NUMERIC G1b. hopeful? ------------------------------------------------------ 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR 923503 92PRE: G1c. B AFRAID COLUMNS 580 - 580 NUMERIC G1c. afraid? ----------------------------------------------------- 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR 923504 92PRE: G1d. B PROUD COLUMNS 581 - 581 NUMERIC G1d. proud? ---------------------------------------------------- 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR 923505 92PRE: G2a. C ANGRY COLUMNS 582 - 582 NUMERIC 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? ------------------------------------------------------ 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR 923506 92PRE: G2b. C HOPEFUL COLUMNS 583 - 583 NUMERIC G2b. hopeful? ------------------------------------------------------- 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR 923507 92PRE: G2c. C AFRAID COLUMNS 584 - 584 NUMERIC G2c. afraid? ------------------------------------------------------ 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR 923508 92PRE: G2d. C PROUD COLUMNS 585 - 585 NUMERIC G2d. proud? ----------------------------------------------------- 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR 923509 92PRE: G3a. LIB/CON 7PT COLUMNS 586 - 586 NUMERIC 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) 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK; [DO NOT PROBE] 9. NA 0. HAVEN'T THOUGHT MUCH; [DO NOT PROBE] ============================== VAR 923510 92PRE: G3b. COLUMNS 587 - 587 NUMERIC G3b. INTERVIEWER CHECKPOINT ---------------------------- 1. RATING AT G3a IS 4 2. ALL OTHERS 0. Inap, 0, 8-9 in G3 ============================== VAR 923511 92PRE: G3c. COLUMNS 588 - 588 NUMERIC G3c. (IF MODERATE, MIDDLE OF ROAD) If you had to choose would you consider yourself a liberal or a conservative? -------------------------------------------------------- 1. LIBERAL 3. MODERATE, MIDDLE OF ROAD 5. CONSERVATIVE 7. REFUSES TO CHOOSE 8. DK 9. NA 0. Inap, 0, 1-3, 5-9 in G3 (2 in G3b) ============================== VAR 923512 92PRE: G3d. COLUMNS 589 - 589 NUMERIC G3d. (IF DON'T KNOW OR HAVEN'T THOUGHT MUCH:) If you had to choose would you consider yourself a liberal or a conservative? ----------------------------------------------------------- 1. LIBERAL 3. MODERATE, MIDDLE OF ROAD 5. CONSERVATIVE 7. REFUSES TO CHOOSE 8. DK 9. NA 0. Inap, 1-7,9 in G3a ============================== VAR 923513 92PRE: G3x. LIB/CON 3P COLUMNS 590 - 590 NUMERIC G3x. SUMMARY: R's Ideological Placement, Bracketed --------------------------------------------------- Built from G3a, G3c-d 1. Liberal (1-3 in G3a; 1 in G3c; 1 in G3d) 3. Moderate (4 in G3a and 3, 7-9 in G3c; 3 in G3d) 5. Conservative (5-7 in G3a; 5 in G3c; 5 in G3d) 7. Refused to choose (0, 8 in G3a and 7 in G3d) 8. Don't Know (0, 8 in G3a and 8 in G3d) 9. NA to entire question series G3 (9 in G3a) 0. NA to follow up question G3d ============================== VAR 923514 92PRE: G3e/d1. BUSH COLUMNS 591 - 591 NUMERIC G3e/G3d1. (RB, STILL ON P. 6) Where would you place George Bush on this scale? ----------------------------------------------------------- 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK 9. NA 0. Inap, 9 in G3a; 9 in G3d ============================== VAR 923515 92PRE: G3f/d2. CLINTON COLUMNS 592 - 592 NUMERIC G3f/G3d2. (Where would you place) Bill Clinton (on this scale)? -------------------------------------------------------- 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK 9. NA 0. Inap, 9 in G3a; 9 in G3d ============================== VAR 923516 92PRE: G3g/d3. PEROT COLUMNS 593 - 593 NUMERIC G3g/G3d3. (Where would you place) Ross Perot (on this scale)? ------------------------------------------------------ 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK 9. NA 0. Inap, 9 in G3a; 9 in G3d ============================== VAR 923517 92PRE: G3h. REP PTY COLUMNS 594 - 594 NUMERIC G3h. The Republican party? ------------------------------------------------------ 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK 9. NA 0. Inap, 9 in G3a; 8-9 in G3d ============================== VAR 923518 92PRE: G3j. DEM PTY COLUMNS 595 - 595 NUMERIC G3j. The Democratic party? ------------------------------------------------------ 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK 9. NA 0. Inap, 9 in G3a; 8-9 in G3d ============================== VAR 923519 92PRE: G4. COLUMNS 596 - 596 NUMERIC 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? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923520 92PRE: G5a. COLUMNS 597 - 597 NUMERIC 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? ------------------------------------------------------------ 1. EXTREMELY IMPORTANT 2. VERY IMPORTANT 3. SOMEWHAT IMPORTANT 4. NOT AT ALL IMPORTANT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923521 92PRE: G5b. COLUMNS 598 - 598 NUMERIC G5b. (How about) believing in God? ------------------------------------------------------------ 1. EXTREMELY IMPORTANT 2. VERY IMPORTANT 3. SOMEWHAT IMPORTANT 4. NOT AT ALL IMPORTANT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923522 92PRE: G5c. COLUMNS 599 - 599 NUMERIC G5c. Treating people of all races and backgrounds equally? ------------------------------------------------------- 1. EXTREMELY IMPORTANT 2. VERY IMPORTANT 3. SOMEWHAT IMPORTANT 4. NOT AT ALL IMPORTANT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923523 92PRE: G5d. COLUMNS 600 - 600 NUMERIC G5d. Speaking English? ------------------------------------------------------- 1. EXTREMELY IMPORTANT 2. VERY IMPORTANT 3. SOMEWHAT IMPORTANT 4. NOT AT ALL IMPORTANT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923524 92PRE: G6. COLUMNS 601 - 601 NUMERIC 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? ------------------------------------------------------------ 1. GROUPS SHOULD MAINTAIN THEIR DISTINCT CULTURES 3. NEITHER/BOTH, ETC. (VOLUNTEERED) 5. GROUPS SHOULD CHANGE AND BLEND INTO THE LARGER SOCIETY 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923525 92PRE: G7. COLUMNS 602 - 602 NUMERIC 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? ------------------------------------------------------------ 1. YES, SHOULD HAVE SERVED 2. NO, NEED NOT HAVE SERVED 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923526 92PRE: H1. COLUMNS 603 - 603 NUMERIC 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? ----------------------------------------------------------- 1. RIGHT DIRECTION 5. WRONG TRACK 8. DK 9. NA ============================== VAR 923527 92PRE: H2. COLUMNS 604 - 604 NUMERIC 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? ----------------------------------------------------------- 1. BETTER 3. STAYED SAME 5. WORSE 8. DK 9. NA ============================== VAR 923528 92PRE: H2a/b. COLUMNS 605 - 605 NUMERIC H2a. Would you say much better or somewhat better? H2b. Would you say much worse or somewhat worse? --------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H2 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in H2 ============================== VAR 923529 92PRE: H3. COLUMNS 606 - 606 NUMERIC H3. Would you say that over the past year, inflation has gotten better, stayed about the same, or gotten worse? --------------------------------------------------------- 1. BETTER 3. STAYED SAME 5. WORSE 8. DK 9. NA ============================== VAR 923530 92PRE: H3a/b. COLUMNS 607 - 607 NUMERIC H3a. Would you say much better or somewhat better? H3b. Would you say much worse or somewhat worse? --------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H3 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in H3 ============================== VAR 923531 92PRE: H4. COLUMNS 608 - 608 NUMERIC 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? -------------------------------------------------------- 1. GOTTEN BETTER 3. STAYED THE SAME 5. GOTTEN WORSE 8. DK 9. NA ============================== VAR 923532 92PRE: H4a/b. NAT ECON COLUMNS 609 - 609 NUMERIC H4a. Would you say much better or somewhat better? H4b. Would you say much worse or somewhat worse? --------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H4 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in H4 ============================== VAR 923533 92PRE: H5. COLUMNS 610 - 610 NUMERIC 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? ----------------------------------------------------------- 1. GOTTEN BETTER 3. STAYED THE SAME 5. GOTTEN WORSE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923534 92PRE: H5a/b. COLUMNS 611 - 611 NUMERIC H5a. Would you say much better or somewhat better? H5b. Would you say much worse or somewhat worse? --------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H5 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 8-9 in H5 ============================== VAR 923535 92PRE: H6. COLUMNS 612 - 612 NUMERIC H6. Compared to four years ago, would you say that the nation's economy has gotten better, stayed about the same, or gotten worse? ---------------------------------------------------------- 1. GOTTEN BETTER 3. STAYED THE SAME 5. GOTTEN WORSE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR 923536 92PRE: H6a/b. COLUMNS 613 - 613 NUMERIC H6a. Would you say much better or somewhat better? H6b. Would you say much worse or somewhat worse? --------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H6 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 8-9 in H6 ============================== VAR 923537 92PRE: H7. COLUMNS 614 - 614 NUMERIC H7. What about the next 12 months? Do you expect the national economy to get better, get worse, or stay about the same? ------------------------------------------------------------ 1. GET BETTER 3. STAY THE SAME 5. GET WORSE 8. DK 9. NA ============================== VAR 923538 92PRE: H8. COLUMNS 615 - 615 NUMERIC 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? ---------------------------------------------------------- 1. BETTER 3. STAYED SAME 5. WORSE 8. DK 9. NA ============================== VAR 923539 92PRE: H8a/b. COLUMNS 616 - 616 NUMERIC H8a. Would you say much better or somewhat better? H8b. Would you say much worse or somewhat worse? --------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H8 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in H8 ============================== VAR 923540 92PRE: H9. COLUMNS 617 - 617 NUMERIC 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? ---------------------------------------------------------- 1. BETTER 3. SAME 5. WORSE 8. DK 9. NA ============================== VAR 923541 92PRE: H10. COLUMNS 618 - 618 NUMERIC 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? ----------------------------------------------------------- 1. BETTER 3. HAVEN'T MADE MUCH DIFFERENCE 5. WORSE 8. DK 9. NA ============================== VAR 923542 92PRE: H10a/b. COLUMNS 619 - 619 NUMERIC H10a. Would you say much better or somewhat better? H10b. Would you say much worse or somewhat worse? ---------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H10 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in H10 ============================== VAR 923543 92PRE: H11. COLUMNS 620 - 620 NUMERIC 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? ------------------------------------------------------------ 1. GOTTEN BETTER 3. STAYED THE SAME 5. GOTTEN WORSE 8. DK 9. NA ============================== VAR 923544 92PRE: H11a/b. COLUMNS 621 - 621 NUMERIC H11a. Would you say much better or somewhat better? H11b. Would you say much worse or somewhat worse? ---------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H11 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in H11 ============================== VAR 923545 92PRE: H12a. COLUMNS 622 - 622 NUMERIC 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? ----------------------------------------------------------- 1. DEMOCRATS 2. REPUBLICANS 3. NO DIFFERENCE 4. PEROT (VOL) 7. NEITHER (VOL) 8. DK 9. NA ============================== VAR 923546 92PRE: H12b. COLUMNS 623 - 623 NUMERIC H12b. Which party do you think would do a better job of handling foreign affairs? -------------------------------------------------------- 1. DEMOCRATS 2. REPUBLICANS 3. NO DIFFERENCE 4. PEROT (VOL) 7. NEITHER (VOL) 8. DK 9. NA ============================== VAR 923547 92PRE: H12c. COLUMNS 624 - 624 NUMERIC H12c. Which party do you think would do a better job of handling solving the problem of poverty? -------------------------------------------------------- 1. DEMOCRATS 2. REPUBLICANS 3. NO DIFFERENCE 4. PEROT (VOL) 7. NEITHER (VOL) 8. DK 9. NA ============================== VAR 923548 92PRE: H12d. COLUMNS 625 - 625