Version 01 Codebook ------------------- CODEBOOK VARIABLE DOCUMENTATION 1984 PRE-POST STUDY (1984.TV) 1984 NES VARIABLE ENTRIES This file should be opened in fixed font, 10 pitch or smaller. Codebook introductory material and appendix material are in separate files. ---------------------------------------------------------------- NOTE ON VARIABLE NAMING: The variable name references used in NES Study codebooks do not include the "V" prefix found in all variable names used within the released SAS and SPSS data definition files (.sas and .sps files). For example, "VAR 920001" and "VAR VERSION" in Study codebooks refer to V920001 and VVERSION in the study data definition files. VARIABLE 'NUMBERING': 'Numbered' variables in NES timeseries datasets and in Pilot datasets (except the 1998 Pilot) comply with the following format: 2-digit year prefix + 4 digits + [opt] 1-char suffix. Examples: 1978 Post variable V780002; 1983 Pilot variable V832101. Note that for datasets including data from multiple studies, the 2-digit year prefix corresponds to the appropriate study year to which the variable is associated; for example, the 1983 Pilot dataset also includes 1982 timeseries variables, for which the 2-digit prefix is 82. Non-time-series studies other than Pilots use 2-character mnemonic prefixes, for example variable VPS0048 in the 1988-1990-1992 Pooled Senate Study dataset. SPECIAL NOTE ON COLUMN LOCATIONS: Some numeric variables use coding schemes that allow for code values having a varying number of digits. In such instances, the number of columns corresponding to the variable in the data file [.dat file] and in the column specifications will be the width of the maximum value occurring in the actual data, rather than the maximum width allowable by the coding scheme. For example, if codes 01-12 are allowed for a numeric variable but all values in the data are less than 10, then the number of columns corresponding to the variable within the ASCII data file will be 1. ============================== VAR VERSION NAME-NES VERSION NUMBER COLUMNS 1 - 2 NUMERIC NO MISSING DATA CODES NES VERSION NUMBER .................. ============================== VAR DSETNO NAME-NES DATASET NUMBER COLUMNS 3 - 9 CHARACTER NO MISSING DATA CODES NES DATASET NUMBER .................. This is dataset 1984.TV ============================== VAR 840001 NAME-ICPSR ARACHIVE NUMBER COLUMNS 10 - 13 NUMERIC NO MISSING DATA CODES ICPSR ARCHIVE NUMBER -------------------- ============================== VAR 840004 NAME-CASE ID OF RESPONDENT COLUMNS 14 - 17 NUMERIC NO MISSING DATA CODES CASE I.D. OF RESPONDENT ----------------------- ============================== VAR 840005 NAME-PRIMARY AREA CODE COLUMNS 18 - 20 NUMERIC NO MISSING DATA CODES PRIMARY AREA CODE ----------------- 78 301. NEW YORK, NY 59 302. LOS ANGELES, CA 60 303. CHICAGO, IL 26 304. PHILADELPHIA, PA 37 305. DETROIT, MI 47 306. SAN FRANCISCO, CA 52 309. HOUSTON, TX 30 310. BOSTON, MA 36 312. ST. LOUIS, MO 35 313. PITTSBURGH, PA 47 314. BALTIMORE, MD 54 317. BUFFALO, NY 47 321. NEW HAVEN, CT 37 323. ATLANTIC CITY, NJ 39 324. MANCHESTER, NH 59 326. MILWAUKEE, WI 48 327. DAYTON, OH 52 329. DES MOINES, IA 45 331. GRAND RAPIDS, MI 49 332. FT. WAYNE, IN 42 333. STEUBENVILLE, OH 43 336. BIRMINGHAM, AL 43 339. COLUMBUS, GA 20 340. MIAMI, FLA 58 343. LAKELAND, FLA 53 344. MCALLEN, TX 59 347. WHEELING, WVA 46 349. KNOXVILLE, TN 48 350. RICHMOND, VA 34 353. SEATTLE, WA 37 355. DENVER, CO 45 356. ANAHEIM, CA 38 358. FRESNO, CA 59 359. EUGENE, OR 71 363. SCHUYLER, NY 65 365. SANILAC COUNTY, MI 66 368. PHILLIPS COUNTY, KS 54 370. MOWER COUNTY, MN 59 373. BULLOCH COUNTY, GA 48 376. HALE COUNTY, TX 60 377. MONROE COUNTY, ARK 56 378. BEDFORD COUNTY, TN 65 381. ROBESON COUNTY, NC 73 382. EL DORADO COUNTY, CA 78 384. CARBON COUNTY, WY ============================== VAR 840006 NAME-SEGMENT ID COLUMNS 21 - 22 NUMERIC NO MISSING DATA CODES SEGMENT NUMBER -------------- THE DATA FIELD FOR THIS VARIABLE HAS BEEN PADDED (FILLED) WITH A STRING OF 9'S TO PROTECT CONFIDENTIALITY OF RESPONDENT. ============================== VAR 840007 NAME-PRIMARY AREA NAMES COLUMNS 23 - 40 CHARACTER NO MISSING DATA CODES PRIMARY AREA NAMES (ALPHABETIC) ------------------------------- THIS AN ALPHABETIC VARIABLE. ============================== VAR 840008 NAME-STATE ALPHABETIC CODE COLUMNS 41 - 42 CHARACTER NO MISSING DATA CODES STATE ABBREVIATION ------------------ POSTAL STATE ABBREVIATION WAS CODED. (ALPHABETIC VARIABLE) ============================== VAR 840009 NAME-CENSUS REGION COLUMNS 43 - 43 NUMERIC NO MISSING DATA CODES CENSUS REGION CODE ------------------ 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.) 417 1. NORTHEAST (CONNECTICUT, MAINE, MASSACHUSETTS, NEW HAMPSHIRE, NEW JERSEY, NEW YORK, PENNSYLVANIA, RHODE ISLAND, VERMONT) 620 2. NORTH CENTRAL (ILLINOIS, INDIANA, IOWA, KANSAS, MICHIGAN, MINNESOTA, MISSOURI, NEBRASKA, NORTH DAKOTA, OHIO, SOUTH DAKOTA, WISCONSIN) 750 3. SOUTH (ALABAMA, ARKANSAS, DELAWARE, D. C., FLORIDA, GEORGIA, KENTUCKY, LOUISIANA, MARYLAND, MISSISSIPPI, NORTH CAROLINA, OKLAHOMA, SOUTH CAROLINA, TENNESSEE, TEXAS, VIRGINIA, WEST VIRGINIA) 470 4. WEST (ALASKA, ARIZONA, CALIFORNIA, COLORADO, HAWAII, IDAHO, MONTANA, NEVADA, NEW MEXICO, OREGON, UTAH, WASHINGTON, WYOMING) ============================== VAR 840010 NAME-ICPSR STATE CODE COLUMNS 44 - 45 NUMERIC NO MISSING DATA CODES STATE ICPSR CODE ---------------- NEW ENGLAND 47 01. CONNECTICUT 02. MAINE 30 03. MASSACHUSETTS 39 04. NEW HAMPSHIRE 05. RHODE ISLAND 06. VERMONT MIDDLE ATLANTIC 11. DELAWARE 58 12. NEW JERSEY 189 13. NEW YORK 54 14. PENNSYLVANIA EAST NORTH CENTRAL 64 21. ILLINOIS 49 22. INDIANA 147 23. MICHIGAN 97 24. OHIO 59 25. WISCONSIN WEST NORTH CENTRAL 52 31. IOWA 66 32. KANSAS 54 33. MINNESOTA 32 34. MISSOURI 35. NEBRASKA 36. NORTH DAKOTA 37. SOUTH DAKOTA SOLID SOUTH 48 40. VIRGINIA 53 41. ALABAMA 60 42. ARKANSAS 78 43. FLORIDA 92 44. GEORGIA 45. LOUISIANA 46. MISSISSIPPI 65 47. NORTH CAROLINA 48. SOUTH CAROLINA 153 49. TEXAS BORDER STATES 51. KENTUCKY 47 52. MARYLAND 53. OKLAHOMA 102 54. TENNESSEE 55. WASHINGTON, D.C. 52 56. WEST VIRGINIA MOUNTAIN STATES 61. ARIZONA 37 62. COLORADO 63. IDAHO 64. MONTANA 65. NEVADA 66. NEW MEXICO 67. UTAH 78 68. WYOMING PACIFIC STATES 262 71. CALIFORNIA 59 72. OREGON 34 73. WASHINGTON EXTERNAL STATES 81. ALASKA 82. HAWAII ============================== VAR 840011 NAME-FIPS STATE CODE COLUMNS 46 - 47 NUMERIC NO MISSING DATA CODES FIPS STATE CODE --------------- 53 01. ALABAMA 60 05. ARKANSAS 262 06. CALIFORNIA 37 08. COLORADO 47 09. CONNECTICUT 78 12. FLORIDA 92 13. GEORGIA 64 17. ILLINOIS 49 18. INDIANA 52 19. IOWA 66 20. KANSAS 47 24. MARYLAND 30 25. MASSACHUSETTS 147 26. MICHIGAN 54 27. MINNESOTA 32 29. MISSOURI 39 33. NEW HAMPSHIRE 58 34. NEW JERSEY 189 36. NEW YORK 65 37. NORTH CAROLINA 97 39. OHIO 59 41. OREGON 54 42. PENNSYLVANIA 102 47. TENNESSEE 153 48. TEXAS 48 51. VIRGINIA 34 53. WASHINGTON 52 54. WEST VIRGINIA 59 55. WISCONSIN 78 56. WYOMING ============================== VAR 840012 NAME-FIPS STATE AND COUNTY CO COLUMNS 48 - 52 NUMERIC NO MISSING DATA CODES FIPS STATE AND COUNTY CODE -------------------------- THE FIRST TWO DIGITS OF THIS VARIABLE ARE THE FIPS STATE CODE. THE LAST THREE DIGITS ARE THE FIPS COUNTY CODE. SEE APPENDIX NOTE ============================== VAR 840013 NAME-ICPSR STATE/82 DIST CODE COLUMNS 53 - 56 NUMERIC NO MISSING DATA CODES ICPSR STATE CODE AND 1982 CONGRESSIONAL DISTRICT OF INTERVIEW --------------------------------------------------- THE FIRST TWO DIGITS OF THIS FIELD ARE THE ICPSR STATE CODE. THE ACTUAL 1982 CONGRESSIONAL DISTRICT NUMBER IS CODED FOLLOWING THE STATE CODE: XX98 = AT LARGE DISTRICT; 5599 = DISTRICT OF COLUMBIA. AL03-4103 IN04-2204 OH06-2406 AL06-4106 KS01-3201 OH07-2407 AL07-4107 MA05-0305 OH08-2408 AR01-4201 MA06-0306 OH18-2418 CA05-7105 MA07-0307 OR04-7204 CA06-7106 MA08-0308 PA01-1401 CA07-7107 MA09-0309 PA03-1403 CA08-7108 MD03-5203 PA05-1405 CA10-7110 MD04-5204 PA07-1407 CA11-7111 MD06-5206 PA08-1408 CA14-7114 MD07-5207 PA12-1412 CA15-7115 MI01-2301 PA14-1414 CA17-7117 MI02-2302 PA18-1418 CA18-7118 MI05-2305 PA20-1420 CA23-7123 MI07-2307 PA22-1422 CA24-7124 MI08-2308 TN02-5402 CA25-7125 MI09-2309 TN03-5403 CA26-7126 MI12-2312 TN04-5404 CA27-7127 MI13-2313 TX04-4908 CA28-7128 MI16-2316 TX15-4915 CA29-7129 MI18-2318 TX18-4918 CA30-7130 TX19-4919 CA32-7132 TX22-4922 CA33-7133 TX25-4925 MN01-3301 VA03-4003 CA34-7134 MO01-3401 VA04-4004 CA38-7138 MO02-3402 WA01-7301 M003-3403 WA07-7307 CA40-7140 M009-3409 WA08-7308 CA42-7142 NC07-4707 WI04-2504 C001-6201 NH01-0401 WI05-2505 C002-6202 NJ01-1201 WI09-2509 C006-6206 NJ02-1202 WV01-5601 NJ04-1204 WY98-6898 CT03-0103 NJ09-1209 FL10-4310 NJ11-1211 FL17-4317 NY07-1307 FL18-4318 NY08-1308 FL19-4319 NY09-1309 GA01-4401 NY11-1311 GA03-4403 NY12-1312 IA04-3104 NY14-1314 IL01-2101 NY15-1315 IL03-2103 NY16-1316 IL04-2104 NY17-1317 IL06-2106 NY18-1318 IL07-2107 NY19-1319 NY22-1322 IL11-2111 NY31-1331 IL12-2112 NY32-1332 IL13-2113 NY33-1333 IL14-2114 NY34-1334 IL15-2115 OH03-2403 IL22-2122 ============================== VAR 840014 NAME-ICPSR STATE/78 DIST CODE COLUMNS 57 - 60 NUMERIC NO MISSING DATA CODES ICPSR STATE CODE AND 1978 CONGRESSIONAL DISTRICT OF INTERVIEW --------------------------------------------------- THE FIRST TWO DIGITS OF THIS FIELD ARE THE ICPSR STATE CODE. THE ACTUAL 1978 CONGRESSIONAL DISTRICT NUMBER IS CODED FOLLOWING THE STATE CODE: XX98 = AT LARGE DISTRICT; 5599 = DISTRICT OF COLUMBIA. AL03-4103 IN04-2204 AL06-4106 KS01-3201 OH07-2407 AL07-4107 MA04-0304 OH08-2408 AR01-4201 MA06-0306 OH18-2418 CA05-7105 MA07-0307 OR04-7204 MA08-0308 PA01-1401 CA07-7107 MA09-0309 PA02-1402 CA08-7108 MD03-5203 PA03-1403 CA10-7110 MD04-5204 PA05-1405 CA11-7111 MD06-5206 PA08-1408 CA14-7114 MD07-5207 PA18-1418 PA20-1420 CA17-7117 MI02-2302 PA21-1421 CA20-7120 MI05-2305 PA22-1422 CA21-7121 TN02-5402 CA22-7122 MI08-2308 TN03-5403 CA24-7124 MI09-2309 TN04-5404 CA25-7125 MI12-2312 TX07-4907 CA27-7127 MI13-2313 TX08-4908 CA28-7128 MI16-2316 TX15-4915 MI17-2317 TX18-4918 CA30-7130 MI19-2319 TX19-4919 TX22-4922 CA33-7133 CA34-7134 MN02-3302 VA03-4003 CA35-7135 MO01-3401 VA05-4005 CA38-7138 MO02-3402 WA01-7301 M003-3403 WA02-7302 CA40-7140 M009-3409 WA06-7306 NC07-4707 WA07-7307 C001-6201 NH01-0401 WI04-2504 C002-6202 NJ01-1201 WI05-2505 C005-6205 NJ02-1202 WI09-2509 CT01-0101 NJ06-1206 WV01-5601 CT03-0103 NJ07-1207 WY98-6898 FL08-4308 NJ11-1211 FL13-4313 NY07-1307 FL14-4314 NY08-1308 FL15-4315 NY09-1309 GA01-4401 NY10-1310 GA03-4403 NY12-1312 IA04-3104 NY14-1314 IL01-2101 IL03-2103 NY16-1316 NY17-1317 IL06-2106 NY18-1318 IL07-2107 NY19-1319 IL08-2108 NY20-1320 IL10-2110 NY21-1321 IL12-2112 NY23-1323 IL13-2113 NY26-1326 IL17-2117 NY33-1333 IL24-2124 NY36-1336 NY37-1337 NY38-1338 OH03-2403 ============================== VAR 840015 NAME-FIPS 80 SMSA CENSUS CODE COLUMNS 61 - 64 NUMERIC MD=0 FIPS STANDARD METROPOLITAN STATISTICAL AREA CODES (1980) -------------------------------------------------------- THESE FIPS SMSA CODES WERE OBTAINED FROM THE FEDERAL INFORMATION PROCESSING STANDARD PUBLICATION, U.S. DEPARTMENT OF COMMERCE, NATIONAL BUREAU OF STANDARDS. SEE APPENDIX NOTE 45 0360. ANAHEIM-SANTA ANA-GARDEN GROVE, CALIF. 37 0560. ATLANTIC CITY, N.J. 47 0720. BALTIMORE, MD. 43 1000. BIRMINGHAM, ALA. 30 1120. BOSTON, MASS. 54 1280. BUFFALO, N.Y. 60 1600. CHICAGO, ILL. 43 1800. COLUMBUS, GA.-ALA. 48 2000. DAYTON, OHIO 37 2080. DENVER-BOULDER, COLO. 52 2120. DES MOINES, IOWA 37 2160. DETROIT, MICH. 59 2400. EUGENE-SPRINGFIELD, OREG. 49 2760. FORT WAYNE, IND. 38 2840. FRESNO, CALIF. 45 3000. GRAND RAPIDS, MICH. 52 3360. HOUSTON, TEX. 46 3840. KNOXVILLE, TENN. 58 3980. LAKELAND-WINTER HAVEN, FLA. 59 4480. LOS ANGELES-LONG BEACH, CALIF. 39 4760. MANCHESTER, N.H. 53 4880. MCALLEN-PHARR-EDINBURG, TEX. 20 5000. MIAMI, FLA. 59 5080. MILWAUKEE, WIS. 47 5480. NEW HAVEN-WEST HAVEN, CONN. 78 5600. NEW YORK, N.Y.-N.J. 26 6160. PHILADELPHIA, PA.-N.J. 35 6280. PITTSBURGH, PA. 48 6760. RICHMOND, VA. 36 7040. ST.LOUIS, MO.-ILL. 47 7360. SAN FRANCISCO-OAKLAND, CALIF. 34 7600. SEATTLE-EVERETT, WASH. 42 8080. STEUBENVILLE-WEIRTON, OHIO-W.VA. 59 9000. WHEELING, W.VA.-OHIO 695 0000. INAP, LOCATION NOT IN SMSA ============================== VAR 840016 NAME-FIPS 80 SCSA CENSUS CODE COLUMNS 65 - 66 NUMERIC MD=0 FIPS (CENSUS) 1980 STANDARD CONSOLIDATED STATISTICAL AREA CODES --------------------------------------------------------- THE SIX LARGEST SCSA'S ARE MARKED WITH "**". SEE APPENDIX NOTE FOR 1980 DEFINITIONS OF SCSA. 30 07. BOSTON-LAWRENCE-LOWELL, MASS.-N.H. 60 14. CHICAGO-GARY-KENOSHA, ILL.-IND.-WIS.** 48 32. DAYTON-SPRINGFIELD, OHIO 37 35. DETROIT-ANN ARBOR, MICH.** 52 42. HOUSTON-GALVESTON, TEX. 104 49. LOS ANGELES-LONG BEACH-ANAHEIM, CALIF.** 20 56. MIAMI-FORT LAUDERDALE, FLA. 59 63. MILWAUKEE-RACINE, WIS. 78 70. NEW YORK-NEWARK-JERSEY CITY, N.Y.-N.J.-CONN.** 26 77. PHILADELPHIA-WILMINGTON-TRENTON, PA.-DEL.-N.J.-MD.** 47 84. SAN FRANCISCO-OAKLAND-SAN JOSE, CALIF.** 34 91. SEATTLE-TACOMA, WASH. 1662 00. INAP, LOCATION NOT IN SCSA. ============================== VAR 840017 NAME-POP SIZE:PLACE OF INTV COLUMNS 67 - 68 NUMERIC NO MISSING DATA CODES SIZE OF PLACE OF INTERVIEW -------------------------- THIS VARIABLE WAS CODED ACCORDING TO THE 1980 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. SEE APPENDIX NOTE FOR 1980 DEFINITIONS OF CENSUS TERMS. SIX LARGEST SCSA'S (OVER 4,000,000 POP.) AND FIVE OUT OF TEN NEXT LARGEST SMSA'S (2,000,000 POP.) 176 11. CENTRAL CITIES SUBURBS OF SIX LARGEST SCSA'S AND FIVE OUT OF THE TEN NEXT LARGEST SMSA'S 21 20. RURAL (INCLUDING RURAL PLACES WITH LESS THAN 2500 POPULATION) 77 21. 2,500-9,999 PLUS OTHER URBANIZED AREAS ("URBAN FRINGE" NOT IN CENSUS PLACES) 111 22. 10,000-29,999 35 23. 30,000-49,999 94 24. 50,000-99,999 24 25. 100,000-149,999 6 26. 150,000-349,999 27. 350,000 AND OVER, EXCLUSIVE OF CITIES CODED 11 SMSA'S WITH LESS THAN 2,000,000 POPULATION, EXCLUSIVE OF THOSE IN THE SIX LARGEST SCSA'S CENTRAL CITIES IN SMSA'S WITH LESS THAN 2,000,000 POPULATION 50 30. UNDER 50,000 (IDENTIFIED BY CENSUS BUREAU AS CENTRAL CITIES) 43 31. 50,000-99,999 36 32. 100,000-149,999 177 33. 150,000-349,999 52 34. 350,000 AND OVER SUBURBS IN SMSA'S WITH LESS THAN 2,000,000 POPULATION 215 40. RURAL (INCLUDING RURAL PLACES WITH LESS THAN 2,500 POPULATION) 219 41. 2,500-9,999 PLUS OTHER URBANIZED AREAS ("URBAN FRINGE" NOT IN CENSUS PLACES) 163 42. 10,000-29,999 30 43. 30,000-49,999 22 44. 50,000-99,999 7 45. 100,000-149,999 4 46. 150,000 AND OVER NON-SMSA'S 374 50. RURAL (INCLUDING PLACES WITH LESS THAN 2500 POPULATION) 96 51. 2500-9999 225 52. 10,000-29,999 53. 30,000-49,999 ============================== VAR 840018 NAME-ACTUAL POP OF INT LOCATN COLUMNS 69 - 72 NUMERIC NO MISSING DATA CODES ACTUAL POPULATION OF LOCATION OF INTERVIEW (1980) ------------------------------------------------- THE ACTUAL 1980 POPULATION OF THE INTERVIEW PLACE WAS CODED IN THOUSANDS ROUNDING TO THE NEAREST WHOLE THOUSAND. ACTUAL NUMBER IS CODED 0000. RURAL PLACE, NO DEFINED CENSUS PLACE, CENSUS PLACES WITH FEWER THAN 500 PERSONS. 0001. 500-1499 PERSONS . . 9999. 9,998,500 PERSONS AND OVER ============================== VAR 840019 NAME-BELT CODE COLUMNS 73 - 73 NUMERIC NO MISSING DATA CODES BELT CODE (1980 CENSUS) ----------------------- THIS VARIABLE WAS CODED ACCORDING TO THE 1980 CENSUS WITH ADDITIONS FROM CENSUS POPULATION REPORTS. SUBURBS ARE DEFINED AS ALL URBANIZED AREAS IN THE SMSA EXCLUSIVE OF THE AREAS CODED "1" AND "2" BELOW, PLUS THE REMAINDER OF ANY COUNTY WHICH INCLUDES A CENTRAL CITY OR PARTS OF A CENTRAL CITY. (NOTE: IN THE NEW ENGLAND DIVISION WHERE SMSA BOUNDARIES DO NOT FOLLOW COUNTY LINES, IT IS NECESSARY TO LIMIT THIS CATEGORY TO THE SMSA PART OF A COUNTY WHICH INCLUDES A CENTRAL CITY.) AN ADJACENT AREA INCLUDES ALL TERRITORY BEYOND THE OUTER BOUNDARY OF THE SUBURBAN BELT, BUT WITHIN FIFTY MILES OF THE CENTRAL BUSINESS DISTRICT OF A CENTRAL CITY. AN OUTLYING AREA INCLUDES ALL TERRITORY MORE THAN FIFTY MILES FROM THE CENTRAL BUSINESS DISTRICT OF A CENTRAL CITY. SEE APPENDIX NOTE 176 1. CENTRAL CITIES OF THE SIX LARGEST STANDARD CONSOLIDATED STATISTICAL AREAS (SCSA'S) PLUS FIVE OUT OF THE TEN NEXT LARGEST SMSA'S (POPULATION OVER 2,000,000) 349 2. CENTRAL CITIES OF SMSA'S WITH LESS THAN 2,000,000 POPULATION (EXCLUSIVE OF THOSE IN THE 6 LARGEST SCSA'S) 386 3. SUBURBS OF THE 6 LARGEST SCSA'S, AND OF FIVE OUT OF THE TEN NEXT LARGEST SMSA'S 558 4. SUBURBS OF OTHER SMSA'S 584 5. ADJACENT AREAS 204 6. OUTLYING AREAS ============================== VAR 840020 NAME-1980 CENSUS TRACT COLUMNS 74 - 79 NUMERIC MD=0 OR GE 999999 1980 CENSUS TRACT ----------------- THE DATA FIELD HAS BEEN PADDED (FILLED) WITH A STRING OF 9'S TO PROTECT THE CONFIDENTIALITY OF THE RESPONDENT. ============================== VAR 840021 NAME-CENSUS ENUMERATION 1980 COLUMNS 80 - 84 NUMERIC NO MISSING DATA CODES 1980 CENSUS ENUMERATION DISTRICTS (ED) FOR UNTRACTED AREAS ONLY ---------------------------------------------------------- THE DATA FIELD FOR THIS VARIABLE HAS BEEN PADDED (FILLED) WITH A STRING OF 9'S TO PROTECT THE CONFIDENTIALITY OF THE RESPONDENT. ============================== VAR 840022 NAME-MINOR CIVIL DIVISION COLUMNS 85 - 87 NUMERIC MD=GE 999 1980 CENSUS MINOR CIVIL DIVISION (MCD) CODE FOR LOCATION OF INTERVIEW IN UNTRACTED AREAS OUTSIDE OF CENSUS PLACES. ----------------------------------------------------------- THE DATA FIELD FOR THIS VARIABLE HAS BEEN PADDED (FILLED) WITH A STRING OF 9'S TO PROTECT THE CONFIDENTIALITY OF THE RESPONDENT. ============================== VAR 840023 NAME-CENSUS PLACE CODE COLUMNS 88 - 91 NUMERIC MD=0 OR GE 9999 1980 CENSUS PLACE CODE FOR PLACE OF INTERVIEW --------------------------------------------- THE DATA FIELD FOR THIS VARIABLE HAS BEEN PADDED (FILLED) WITH A STRING OF 9'S TO PROTECT THE CONFIDENTIALITY OF THE RESPONDENT. ============================== VAR 840024 NAME-SAMPLING ERROR CODE COLUMNS 92 - 93 NUMERIC NO MISSING DATA CODES SAMPLING ERROR CODE ------------------- THE 2-DIGIT SAMPLING ERROR CODE CONTAINS INFORMATION FOR COMPUTING SAMPLING ERRORS. USERS WHO WISH TO COMPUTE SAMPLING ERRORS FOR THIS STUDY SHOULD CONTACT ICPSR FOR FURTHER INFORMATION NEEDED TO COMPUTE SAMPLING ERRORS. ACTUAL NUMBER IS CODED ============================== VAR 840025 NAME-INTERVIEWER NUMBER-PRE COLUMNS 94 - 97 NUMERIC NO MISSING DATA CODES INTERVIEWER'S NUMBER -------------------- ACTUAL NUMBER IS CODED. ============================== VAR 840026 NAME-CONTROL ID NUMBER-PRE COLUMNS 98 - 105 NUMERIC NO MISSING DATA CODES CONTROL ID NUMBER ----------------- A UNIQUE EIGHT-DIGIT IDENTIFICATION NUMBER ASSIGNED TO THE RESPONDENT BY ISR'S FIELD OFFICE FOR ADMINISTRATIVE PURPOSES. ACTUAL NUMBER IS CODED. ============================== VAR 840027 NAME-TARGET PERIOD-PRE COLUMNS 106 - 106 NUMERIC MD=GE 9 TARGET INTERVIEW PERIOD ----------------------- THE INTERVIEWING TIME FRAME, SEPT. 5-OCT. 30, WAS DIVIDED INTO 4 PERIODS: PERIOD A: SEPT. 5-SEPT. 18 PERIOD B: SEPT. 19-OCT. 2 PERIOD C: OCT. 3-OCT. 16 PERIOD D: OCT. 17-OCT. 30 EACH INTERVIEW WAS TARGETED TO BE CONDUCTED IN ONE PERIOD. 474 1. TARGET PERIOD A. INTERVIEW COMPLETED DURING TARGETED PERIOD. (THIS INCLUDES SEVERAL INTERVIEWS TAKEN ON SEPTEMBER 4.) 95 2. TARGET PERIOD A. INTERVIEW COMPLETED OUTSIDE TARGETED PERIOD. 477 3. TARGET PERIOD B. INTERVIEW COMPLETED DURING TARGETED PERIOD. 106 4. TARGET PERIOD B. INTERVIEW COMPLETED OUTSIDE TARGETED PERIOD. 426 5. TARGET PERIOD C. INTERVIEW COMPLETED DURING TARGETED PERIOD. 143 6. TARGET PERIOD C. INTERVIEW COMPLETED OUTSIDE TARGETED PERIOD. 442 7. TARGET PERIOD D. INTERVIEW COMPLETED DURING TARGETED PERIOD. 94 8. TARGET PERIOD D. INTERVIEW COMPLETED OUTSIDE TARGETED PERIOD. 9. NA WHEN INTERVIEW WAS COMPLETED. ============================== VAR 840028 NAME-SEQ INTERVIEW #-PRE COLUMNS 107 - 108 NUMERIC MD=GE 99 INTERVIEWER'S INTERVIEW NUMBER ------------------------------ ITEM 6 FACE SHEET. ============================== VAR 840029 NAME-DATE INTERVIEW-PRE COLUMNS 109 - 116 CHARACTER NO MISSING DATA CODES DATE OF INTERVIEW ----------------- THIS EIGHT-DIGIT FIELD IDENTIFIES THE DATE WHEN THE PRE-ELECTION INTERVIEW WAS COMPLETED. IT IS CONSTRUCTED IN THE FOLLOWING FORMAT: XX-YY-84; XX=MONTH (ALPHABETIC) AND YY=DAY. ============================== VAR 840030 NAME-MONTH INTERVIEW-PRE COLUMNS 117 - 118 NUMERIC MD=GE 99 DATE INTERVIEW COMPLETED-MONTH ------------------------------ MONTH INTERVIEW TAKEN IS CODED. 979 09. SEPTEMBER 1180 10. OCTOBER 98 11. NOVEMBER ============================== VAR 840031 NAME-DAY INTERVIEW-PRE COLUMNS 119 - 120 NUMERIC MD=GE 99 DATE INTERVIEW COMPLETED-DAY ---------------------------- ACTUAL DAY OF MONTH IS CODED. 01. . . 31. 99. NA ============================== VAR 840032 NAME-#DAYS BFORE ELCTN COLUMNS 121 - 122 NUMERIC MD=GE 99 HOW MANY DAYS PRIOR TO THE ELECTION WAS THE INTERVIEW CONDUCTED? ----------------------------------------------------- BUILT FROM DATE OF INTERVIEW 01. . . . 70. 99. NA ============================== VAR 840033 NAME-LENGTH INTERVIEW-PRE COLUMNS 123 - 125 NUMERIC MD=GE 999 LENGTH OF INTERVIEW ------------------- THE ACTUAL TIME WAS CODED IN MINUTES. 999. NA ============================== VAR 840034 NAME-LENGTH POST-EDIT-PRE COLUMNS 126 - 128 NUMERIC MD=GE 999 LENGTH OF INTERVIEWER'S POST-EDITING ------------------------------------ THE ACTUAL AMOUNT OF TIME IT TOOK THE INTERVIEWER TO POST-EDIT THE INTERVIEW WAS CODED IN MINUTES. 999. NA ============================== VAR 840035 NAME-LOCAL BEG TIME-PRE COLUMNS 129 - 132 NUMERIC MD=GE 9999 BEGINNING TIME (LOCAL) ---------------------- 0001. 12:01 AM . . 0600. 6 AM . . 1200. NOON . . 1800. 6 PM . . 2400. MIDNIGHT 9999. NA ============================== VAR 840036 NAME-AA BEG TIME-PRE COLUMNS 133 - 136 NUMERIC MD=GE 9999 BEGINNING TIME (ANN ARBOR) -------------------------- BUILT FROM V10 AND V35 0001. 12:01 AM . . 0600. 6 AM . . 1200. NOON . . 1800. 6 PM . . 2400. MIDNIGHT 9999. NA ============================== VAR 840037 NAME-SELECTION TABLE-PRE COLUMNS 137 - 138 NUMERIC NO MISSING DATA CODES SELECTION TABLE --------------- TYPE OF SELECTION TABLE USED TO SELECT THE RESPONDENTS FROM AMONG ELIGIBLE HOUSEHOLD MEMBERS. USERS SHOULD CONTACT ICPSR IF THEY REQUIRE FURTHER INFORMATION ON THIS VARIABLE. 194 01. A 195 02. B1 180 03. C 195 04. D 177 05. E1 193 06. F 172 07. A 195 08. B2 189 09. C 188 10. D 196 11. E2 183 12. F ============================== VAR 840038 NAME-REFUSL CONV INDIC-PRE COLUMNS 139 - 139 NUMERIC NO MISSING DATA CODES REFUSAL CONVERSION INDICATOR ---------------------------- A "REFUSAL CONVERSION" REFERS TO A COMPLETED INTERVIEW WHICH WAS INITIALLY REFUSED BY THE RESPONDENT. 2223 0. NO 34 1. YES ============================== VAR 840039 NAME-FINAL CALL NUMBER-PRE COLUMNS 140 - 141 NUMERIC MD=GE 99 FINAL CALL NUMBER ----------------- CALL NUMBER OF LAST INTERVIEWER CALL TO HOUSING UNIT 01. . . 98. 99. NA ============================== VAR 840040 NAME-FINAL RESULT CODE-PRE COLUMNS 142 - 142 NUMERIC NO MISSING DATA CODES FINAL RESULT CODE ----------------- 2254 01. COMPLETE INTERVIEW 3 05. PARTIAL INTERVIEW ============================== VAR 840041 NAME-PHONE NUMBER OBTAINED? COLUMNS 143 - 143 NUMERIC MD=GE 9 R5. WAS PHONE NUMBER OBTAINED IN RECONTACT SECTION? --------------------------------------------------- 2000 1. R HAS PHONE AND GIVEN NUMBER 257 5. R HAS NO PHONE 7. R REFUSED TO GIVE NUMBER 9. NA ============================== VAR 840042 NAME-RSN NOT TO PHONE FR POST COLUMNS 144 - 144 NUMERIC MD=0 OR GE 9 R5A. IS THERE A REASON WHY WE SHOULD NOT CONDUCT THE POST ELECTION INTERVIEW WITH THIS R BY PHONE? --------------------------------------------------------- 140 1. YES 1761 5. NO 99 9. NA 257 0. INAP, 5 OR 9 IN 41 ============================== VAR 840043 NAME-RESPONDENT NUMBER-PO COLUMNS 145 - 148 NUMERIC MD=0 RESPONDENT IDENTIFICATION NUMBER -- POST-ELECTION SURVEY -------------------------------------------------------- ACTUAL NUMBER CODED 3001-3978 PERSONAL INTERVIEW 5001-5698 TELEPHONE INTERVIEW 6501-6545 ABBREVIATED TELEPHONE INTERVIEW 0000. NO POST ELECTION INTERVIEW ============================== VAR 840044 NAME-INTERVIEWER NUMBER-PO COLUMNS 149 - 152 NUMERIC MD=0 INTERVIEWER'S NUMBER -------------------- ACTUAL NUMBER CODED 0001. TELEPHONE FACILITY INTERVIEWER . . 1999. TELEPHONE FACILITY INTERVIEWER 2000. FIELD INTERVIEWER . . 9998. FIELD INTERVIEWER 0000. NO POST INTERVIEW ============================== VAR 840045 NAME-CONTROL ID-PO COLUMNS 153 - 160 NUMERIC MD=0 CONTROL ID NUMBER ----------------- 00000000. NO POST INTERVIEW ============================== VAR 840046 NAME-R MOVED FROM ORG ADDRS? COLUMNS 161 - 161 NUMERIC MD=GE 9 PANEL R FOUND LIVING AT ORIGINAL ADDRESS REPORTED ON SAMPLE LABEL ----------------------------------------------------------- 1921 1. YES 66 5. NO 270 9. NA; NO POST INTERVIEW ============================== VAR 840047 NAME-SEQ INTERVIEW #-PO COLUMNS 162 - 163 NUMERIC MD=GE 99 INTERVIEWER'S INTERVIEW NUMBER ------------------------------ 01. . . 97. 99. NA; NO POST INTERVIEW ============================== VAR 840048 NAME-MONTH INTERVIEW-PO COLUMNS 164 - 165 NUMERIC MD=GE 99 DATE INTERVIEW COMPLETED-MONTH ------------------------------ MONTH INTERVIEW TAKEN 1666 11. NOVEMBER 311 12. DECEMBER 12 01. JANUARY 268 99. NA; NO POST INTERVIEW ============================== VAR 840049 NAME-DAY INTERVIEW-PO COLUMNS 166 - 167 NUMERIC MD=GE 99 DATE INTERVIEW COMPLETED-DAY ---------------------------- ACTUAL DAY OF MONTH CODED 01. . . 31. 99. NA; NO POST INTERVIEW ============================== VAR 840050 NAME-#DAYS SINCE ELECTN COLUMNS 168 - 169 NUMERIC MD=0 OR GE 99 NO. OF DAYS BETWEEN ELECTION DAY AND DATE OF INTERVIEW ------------------------------------------------------- BUILT FROM DATE OF INTERVIEW 01. INTERVIEW TAKEN THE DAY AFTER ELECTION DAY . . . 68. INTERVIEW WAS TAKEN SIXTY-EIGHT DAYS AFTER ELECTION DAY 99. NA 00. INAP, NO POST INTERVIEW ============================== VAR 840051 NAME-INTERVIEW LENGTH-PO COLUMNS 170 - 172 NUMERIC MD=GE 999 LENGTH OF INTERVIEW ------------------- ACTUAL TIME CODED IN MINUTES 999. NA; NO POST INTERVIEW ============================== VAR 840052 NAME-LENGTH PRE-EDIT-PO COLUMNS 173 - 175 NUMERIC MD=GE 999 LENGTH OF INTERVIEWER'S PRE-EDITING ----------------------------------- THE ACTUAL AMOUNT OF TIME IT TOOK THE INTERVIEWER TO PRE-EDIT THE INTERVIEW WAS CODED IN MINUTES. 999. NA; NO POST INTERVIEW ============================== VAR 840053 NAME-LENGTH POST-EDIT-PO COLUMNS 176 - 178 NUMERIC MD=GE 999 LENGTH OF INTERVIEWER'S POST-EDITING ------------------------------------ THE ACTUAL AMOUNT OF TIME IT TOOK THE INTERVIEWER TO POST-EDIT THE INTERVIEW WAS CODED IN MINUTES. 999. NA; NO POST INTERVIEW ============================== VAR 840054 NAME-LOCAL BEG TIME-PO COLUMNS 179 - 182 NUMERIC MD=GE 9999 BEGINNING TIME (LOCAL) ---------------------- CODED DIRECTLY FOR PERSONAL INTERVIEWS CONDUCTED IN THE FIELD. BUILT FOR INTERVIEWS DONE BY TELEPHONE FROM THE ANN ARBOR TELEPHONE FACILITY BUILT FROM 65 AND 55 0001. 12:01 AM . 0600. 6 AM . 1200. NOON . 1800. 6 PM . 2400. MIDNIGHT 9999. NA; NO POST INTERVIEW; NOT ASCERTAINED FOR MOVERS INTERVIEWED AT NEW RESIDENCE OVER THE TELEPHONE ============================== VAR 840055 NAME-AA BEG TIME-PO COLUMNS 183 - 186 NUMERIC MD=GE 9999 BEGINNING TIME (ANN ARBOR) -------------------------- CODED DIRECTLY FOR INTERVIEWS DONE BY TELEPHONE FROM THE ANN ARBOR TELEPHONE FACILITY BUILT FROM 65 AND 54 0001. 12:01 AM . 0600. 6 AM . 1200. NOON . 1800. 6 PM . 2400. MIDNIGHT 9999. NA; NO POST INTERVIEW; NOT ASCERTAINED FOR MOVERS INTERVIEWED IN PERSON AT NEW RESIDENCE ============================== VAR 840056 NAME-REFUSAL CONV INDIC-PO COLUMNS 187 - 187 NUMERIC MD=GE 9 REFUSAL CONVERSION INDICATOR ---------------------------- A "REFUSAL CONVERSION" REFERS TO A COMPLETED INTERVIEW WHICH WAS INITIALLY REFUSED BY THE RESPONDENT. 1932 0. NO 57 1. YES 268 9. INAP, NO POST INTERVIEW ============================== VAR 840057 NAME-FINAL CALL#-PO COLUMNS 188 - 189 NUMERIC MD=GE 99 FINAL CALL NUMBER ----------------- CALL NUMBER OF LAST INTERVIEWER CALL TO HOUSING UNIT 00. 01. . . 98. 99. NA ============================== VAR 840058 NAME-FINAL RESULT CODE-PO COLUMNS 190 - 190 NUMERIC MD=0 FINAL RESULT CODE ----------------- 1937 01. COMPLETE INTERVIEW 9 05. PARTIAL INTERVIEW 43 06. MINIMUM PARTIAL 268 00. INAP, NO POST INTERVIEW ============================== VAR 840059 NAME-TYPE CONG RACE COLUMNS 191 - 192 NUMERIC MD=0 TYPE OF CONGRESSIONAL RACE (HOUSE OF REPRESENTATIVES) ----------------------------------------------------- 1050 12. DEMOCRATIC INCUMBENT RUNNING --REPUBLICAN CHALLENGER 2 13. DEMOCRATIC INCUMBENT RUNNING --OTHER CHALLENGER (THIRD PARTY(S) OR INDEPENDENTS) 225 14. DEMOCRATIC INCUMBENT RUNNING --UNOPPOSED 19. DEMOCRATIC INCUMBENT RUNNING --REPUBLICAN AND OTHER CANDIDATES 510 21. REPUBLICAN INCUMBENT RUNNING --DEMOCRATIC CHALLENGER 23. REPUBLICAN INCUMBENT RUNNING --OTHER CHALLENGER 45 24. REPUBLICAN INCUMBENT RUNNING --UNOPPOSED 29. REPUBLICAN INCUMBENT RUNNING --DEMOCRATIC AND OTHER CANDIDATES 31. OTHER INCUMBENT RUNNING --DEMOCRATIC CHALLENGER 32. OTHER INCUMBENT RUNNING --REPUBLICAN CHALLENGER 34. OTHER INCUMBENT RUNNING --UNOPPOSED 51. DEMOCRATIC INCUMB. NOT RUNNING --DEMOCRATIC CANDIDATE UNOPPOSED 52. DEMOCRATIC INCUMB. NOT RUNNING --REPUBLICAN CANDIDATE UNOPPOSED 53. DEMOCRATIC INCUMB. NOT RUNNING --OTHER CANDIDATE UNOPPOSED 125 55. DEMOCRATIC INCUMB. NOT RUNNING --DEMOCRATIC AND REPUBLICAN CANDIDATES 56. DEMOCRATIC INCUMB. NOT RUNNING --REPUBLICAN AND OTHER CANDIDATES 57. DEMOCRATIC INCUMB. NOT RUNNING --DEMOCRATIC AND OTHER CANDIDATES 59. DEMOCRATIC INCUMB. NOT RUNNING --DEMOCRATIC AND REPUBLICAN AND OTHER CANDIDATES 61. REPUBLICAN INCUMB. NOT RUNNING --DEMOCRATIC CANDIDATE UNOPPOSED 62. REPUBLICAN INCUMB. NOT RUNNING --REPUBLICAN CANDIDATE UNOPPOSED 63. REPUBLICAN INCUMB. NOT RUNNING --OTHER CANDIDATE UNOPPOSED 32 65. REPUBLICAN INCUMB. NOT RUNNING --DEMOCRATIC AND REPUBLICAN CANDIDATES 66. REPUBLICAN INCUMB. NOT RUNNING --REPUBLICAN AND OTHER CANDIDATES 67. REPUBLICAN INCUMB. NOT RUNNING --DEMOCRATIC AND OTHER CANDIDATES 69. REPUBLICAN INCUMB. NOT RUNNING --DEM AND REP AND OTHER CANDIDATES 71. OTHER INCUMBENT NOT RUNNING --DEMOCRATIC CANDIDATE UNOPPOSED 72. OTHER INCUMBENT NOT RUNNING --REPUBLICAN CANDIDATE UNOPPOSED 73. OTHER INCUMBENT NOT RUNNING --OTHER CANDIDATE UNOPPOSED 75. OTHER INCUMBENT NOT RUNNING --DEMOCRATIC AND REPUBLICAN CANDIDATES 76. OTHER INCUMBENT NOT RUNNING --REPUBLICAN AND OTHER CANDIDATES 77. OTHER INCUMBENT NOT RUNNING --DEMOCRATIC AND OTHER CANDIDATES 79. OTHER INCUMBENT NOT RUNNING --DEM AND REP AND OTHER CANDIDATES 268 00. NO POST INTERVIEW ============================== VAR 840060 NAME-TYPE SENATE RACE COLUMNS 193 - 194 NUMERIC MD=0 TYPE OF SENATE RACE ------------------- 362 12. DEMOCRATIC INCUMBENT RUNNING --REPUBLICAN CHALLENGER 13. DEMOCRATIC INCUMBENT RUNNING --OTHER CHALLENGER (THIRD PARTY(S) OR INDEPENDENT) 14. DEMOCRATIC INCUMBENT RUNNING --UNOPPOSED 19. DEMOCRATIC INCUMBENT RUNNING --REPUBLICAN AND OTHER CANDIDATES 496 21. REPUBLICAN INCUMBENT RUNNING --DEMOCRATIC CHALLENGER 23. REPUBLICAN INCUMBENT RUNNING --OTHER CHALLENGER 24. REPUBLICAN INCUMBENT RUNNING --UNOPPOSED 29. REPUBLICAN INCUMBENT RUNNING --DEMOCRATIC AND OTHER CANDIDATES 31. OTHER INCUMBENT RUNNING --DEMOCRATIC CHALLENGER 32. OTHER INCUMBENT RUNNING --REPUBLICAN CHALLENGER 34. OTHER INCUMBENT RUNNING --UNOPPOSED 51. DEMOCRATIC INCUMB. NOT RUNNING --DEMOCRATIC CANDIDATE UNOPPOSED 52. DEMOCRATIC INCUMB. NOT RUNNING --REPUBLICAN CANDIDATE UNOPPOSED 53. DEMOCRATIC INCUMB. NOT RUNNING --OTHER CANDIDATE UNOPPOSED 73 55. DEMOCRATIC INCUMB. NOT RUNNING --DEMOCRATIC AND REPUBLICAN CANDIDATES 56. DEMOCRATIC INCUMB. NOT RUNNING --REPUBLICAN AND OTHER CANDIDATES 57. DEMOCRATIC INCUMB. NOT RUNNING --DEMOCRATIC AND OTHER CANDIDATES 59. DEMOCRATIC INCUMB. NOT RUNNING --DEMOCRATIC AND REPUBLICAN AND OTHER CANDIDATES 61. REPUBLICAN INCUMB. NOT RUNNING --DEMOCRATIC CANDIDATE UNOPPOSED 62. REPUBLICAN INCUMB. NOT RUNNING --REPUBLICAN CANDIDATE UNOPPOSED 63. REPUBLICAN INCUMB. NOT RUNNING --OTHER CANDIDATE UNOPPOSED 222 65. REPUBLICAN INCUMB. NOT RUNNING --DEMOCRATIC AND REPUBLICAN CANDIDATES 66. REPUBLICAN INCUMB. NOT RUNNING --REPUBLICAN AND OTHER CANDIDATES 67. REPUBLICAN INCUMB. NOT RUNNING --DEMOCRATIC AND OTHER CANDIDATES 69. REPUBLICAN INCUMB. NOT RUNNING --DEMOCRATIC AND REPUBLICAN AND OTHER CANDIDATES 71. OTHER INCUMBENT NOT RUNNING --DEMOCRATIC CANDIDATE UNOPPOSED 72. OTHER INCUMBENT NOT RUNNING --REPUBLICAN CANDIDATE UNOPPOSED 73. OTHER INCUMBENT NOT RUNNING --OTHER CANDIDATE UNOPPOSED 75. OTHER INCUMBENT NOT RUNNING --DEMOCRATIC AND REPUBLICAN CANDIDATES 76. OTHER INCUMBENT NOT RUNNING --REPUBLICAN AND OTHER CANDIDATES 77. OTHER INCUMBENT NOT RUNNING --DEMOCRATIC AND OTHER CANDIDATES 79. OTHER INCUMBENT NOT RUNNING --DEMOCRATIC AND REPUBLICAN AND OTHER CANDIDATES 89 81. DEMOCRATIC INCUMBENTS--NO RACE IN STATE 127 82. REPUBLICAN INCUMBENTS--NO RACE IN STATE 84. REPUBLICAN AND INDEPENDENT INCUMBENTS--NO RACE IN STATE 620 85. DEMOCRATIC AND REPUBLICAN INCUMBENTS--NO RACE IN STATE 268 00. NO POST INTERVIEW ============================== VAR 840061 NAME-DID R PARTICI PRE/POST COLUMNS 195 - 195 NUMERIC NO MISSING DATA CODES WHETHER R PARTICIPATED BOTH IN PRE AND POST ELECTION SURVEY ----------------------------------------------------------- 1989 1. PARTICIPATED IN BOTH PRE AND POST 268 2. PARTICIPATED IN PRE ONLY ============================== VAR 840062 NAME-PERS/PHONE SAMPLE-PO COLUMNS 196 - 196 NUMERIC MD=0 SAMPLE TO WHICH RESPONDENT WAS ASSIGNED --------------------------------------- 1004 1. PERSONAL SAMPLE 985 2. TELEPHONE SAMPLE 268 0. NO POST INTERVIEW ============================== VAR 840063 NAME-SAMPLE MODE-PO COLUMNS 197 - 197 NUMERIC MD=0 TYPE OF SAMPLE AND SURVEY ADMINISTRATION MODE --------------------------------------------- THIS FILTER VARIABLE DEFINES THE SAMPLE HALF TO WHICH R WAS ASSIGNED (PERSONAL OR TELEPHONE) AND THE INSTRUMENT USED FOR INTERVIEWING. SEE INTRODUCTION, STUDY DESIGN, FOR FURTHER DETAILS. NOTE: THERE ARE FOUR CASES IN WHICH A FIELD INTERVIEWER ADMINISTERED AN ABBREVIATED VERSION OF THE TELEPHONE QUESTIONANAIRE: 2 WERE PERSONAL SAMPLE AND WERE CODED '5' AND 2 WERE TELEPHONE SAMPLE AND WERE CODED '6'. BUILT FROM 43, 62 AND 44 978 1. R ASSIGNED TO PERSONAL SAMPLE, INTERVIEWED BY FIELD INTERVIEWER USING A PERSONAL QUESTIONNAIRE 821 2. R ASSIGNED TO TELEPHONE SAMPLE, INTERVIEWED BY ANN ARBOR TELEPHONE INTERVIEWER USING A TELEPHONE QUESTIONNAIRE 11 3. R ASSIGNED TO PERSONAL SAMPLE, INTERVIEWED BY ANN ARBOR TELEPHONE INTERVIEWER USING A TELEPHONE QUESTIONNAIRE 134 4. R ASSIGNED TO TELEPHONE SAMPLE, INTERVIEWED BY FIELD INTERVIEWER USING A TELEPHONE QUESTIONNAIRE 15 5. R ASSIGNED TO PERSONAL SAMPLE, INTERVIEWED BY ANN ARBOR TELEPHONE INTERVIEWER USING AN ABBREVIATED VERSION OF THE TELEPHONE QUESTIONNAIRE 30 6. R ASSIGNED TO TELEPHONE SAMPLE, INTERVIEWED OVER THE PHONE USING AN ABBREVIATED VERSION OF THE TELEPHONE QUESTIONNAIRE 268 0. NO POST INTERVIEW ============================== VAR 840064 NAME-QUESTIONNAIRE USED-PO COLUMNS 198 - 198 NUMERIC MD=0 INSTRUMENT USED --------------- 978 1. PERSONAL QUESTIONNAIRE 966 2. TELEPHONE QUESTIONNAIRE 45 3. ABBREVIATED TELEPHONE QUESTIONNAIRE 268 0. INAP, NO POST INTERVIEW ============================== VAR 840065 NAME-ICPSR STATE CODE-PO COLUMNS 199 - 200 NUMERIC MD=0 ICPSR STATE OF INTERVIEW ------------------------ NEW ENGLAND 39 01. CONNECTICUT 02. MAINE 24 03. MASSACHUSETTS 36 04. NEW HAMPSHIRE 05. RHODE ISLAND 06. VERMONT MIDDLE ATLANTIC 11. DELAWARE 51 12. NEW JERSEY 162 13. NEW YORK 47 14. PENNSYLVANIA EAST NORTH CENTRAL 54 21. ILLINOIS 47 22. INDIANA 132 23. MICHIGAN 89 24. OHIO 50 25. WISCONSIN WEST NORTH CENTRAL 47 31. IOWA 64 32. KANSAS 53 33. MINNESOTA 30 34. MISSOURI 35. NEBRASKA 36. NORTH DAKOTA 37. SOUTH DAKOTA SOLID SOUTH 42 40. VIRGINIA 47 41. ALABAMA 48 42. ARKANSAS 72 43. FLORIDA 84 44. GEORGIA 45. LOUISIANA 46. MISSISSIPPI 57 47. NORTH CAROLINA 48. SOUTH CAROLINA 131 49. TEXAS BORDER STATES 51. KENTUCKY 40 52. MARYLAND 53. OKLAHOMA 91 54. TENNESSEE 55. WASHINGTON, D.C. 49 56. WEST VIRGINIA MOUNTAIN STATES 61. ARIZONA 32 62. COLORADO 63. IDAHO 64. MONTANA 65. NEVADA 66. NEW MEXICO 67. UTAH 60 68. WYOMING PACIFIC STATES 227 71. CALIFORNIA 51 72. OREGON 33 73. WASHINGTON EXTERNAL STATES 81. ALASKA 82. HAWAII 268 00. NO POST INTERVIEW ============================== VAR 840066 NAME-STATE/CONG DISTR-PO COLUMNS 201 - 204 NUMERIC MD=0 STATE AND CONGRESSIONAL DISTRICT CODE ------------------------------------- THIS VARIABLE RECORDS THE SAMPLE STATE AND CONGRESSIONAL DISTRICT. THEREFORE, EVEN IN CASES WHERE THE RESPONDENT MOVED BETWEEN THE PRE- AND POST-ELECTION INTERVIEWS, THIS VARIABLE CODES THE STATE AND CONGRESSIONAL DISTRICT IN WHICH THE RESPONDENT RESIDED AT THE TIME OF THE PRE-ELECTION INTERVIEW. IN THE POST-ELECTION SURVEY, MOVERS WERE ASKED QUESTIONS ABOUT THE CANDIDATES IN THEIR ORIGINAL SAMPLE STATE AND CONGRESSIONAL DISTRICT; THE CANDIDATES IN THE STATE AND CONGRESSIONAL DISTRICT TO WHICH THEY MOVED BETWEEN PRE AND POST WERE IGNORED IN THE CONGRESSIONAL CANDIDATE BATTERY. AL03-4103 IN04-2204 OH06-2406 AL06-4106 KS01-3201 OH07-2407 AL07-4107 MA05-0305 OH08-2408 AR01-4201 MA06-0306 OH18-2418 CA05-7105 MA07-0307 OR04-7204 CA06-7106 MA08-0308 PA01-1401 CA07-7107 MA09-0309 PA03-1403 CA08-7108 MD03-5203 PA05-1405 CA10-7110 MD04-5204 PA07-1407 CA11-7111 MD06-5206 PA08-1408 CA14-7114 MD07-5207 PA12-1412 CA15-7115 MI01-2301 PA14-1414 CA17-7117 MI02-2302 PA18-1418 CA18-7118 MI05-2305 PA20-1420 CA23-7123 MI07-2307 PA22-1422 CA24-7124 MI08-2308 TN02-5402 CA25-7125 MI09-2309 TN03-5403 CA26-7126 MI12-2312 TN04-5404 CA27-7127 MI13-2313 TX04-4908 CA28-7128 MI16-2316 TX15-4915 CA29-7129 MI18-2318 TX18-4918 CA30-7130 TX19-4919 CA32-7132 TX22-4922 CA33-7133 TX25-4925 MN01-3301 VA03-4003 CA34-7134 MO01-3401 VA04-4004 CA38-7138 MO02-3402 WA01-7301 M003-3403 WA07-7307 CA40-7140 M009-3409 WA08-7308 CA42-7142 NC07-4707 WI04-2504 C001-6201 NH01-0401 WI05-2505 C002-6202 NJ01-1201 WI09-2509 C006-6206 NJ02-1202 WV01-5601 NJ04-1204 WY98-6898 CT03-0103 NJ09-1209 FL10-4310 NJ11-1211 FL17-4317 NY07-1307 FL18-4318 NY08-1308 FL19-4319 NY09-1309 GA01-4401 NY11-1311 GA03-4403 NY12-1312 IA04-3104 NY14-1314 IL01-2101 NY15-1315 IL03-2103 NY16-1316 IL04-2104 NY17-1317 IL06-2106 NY18-1318 IL07-2107 NY19-1319 NY22-1322 IL11-2111 NY31-1331 IL12-2112 NY32-1332 IL13-2113 NY33-1333 IL14-2114 NY34-1334 IL15-2115 OH03-2403 IL22-2122 0000. NO POST INTERVIEW ============================== VAR 840067 NAME-ST/CD MOVER-VOTE-PO COLUMNS 205 - 208 NUMERIC MD=0 STATE AND CONGRESSIONAL DISTRICT FOR RS WHO VOTED OUTSIDE OF PRE-ELECTION CONGRESSIONAL DISTRICT ------------------------------------------------------------ STATE AND CONGRESSIONAL DISTRICT ARE CODED HERE ONLY FOR RESPONDENTS WHO VOTED OUTSIDE OF THE CONGRESSIONAL DISTRICT IN WHICH THEY RESIDED AT THE TIME OF THE PRE-ELECTION INTERVIEW. FOR ALL OTHER RESPONDENTS, INCLUDING THOSE WHO VOTED IN THE CONGRESSIONAL DISTRICT IN WHICH THEY RESIDED AT PRE-ELECTION TIME, OR RESPONDENTS WHO DID NOT VOTE, THIS VARIABLE IS CODED 0000. AL03-4103 IN04-2204 OH06-2406 AL06-4106 KS01-3201 OH07-2407 AL07-4107 MA05-0305 OH08-2408 AR01-4201 MA06-0306 OH18-2418 CA05-7105 MA07-0307 OR04-7204 CA06-7106 MA08-0308 PA01-1401 CA07-7107 MA09-0309 PA03-1403 CA08-7108 MD03-5203 PA05-1405 CA10-7110 MD04-5204 PA07-1407 CA11-7111 MD06-5206 PA08-1408 CA14-7114 MD07-5207 PA12-1412 CA15-7115 MI01-2301 PA14-1414 CA17-7117 MI02-2302 PA18-1418 CA18-7118 MI05-2305 PA20-1420 CA23-7123 MI07-2307 PA22-1422 CA24-7124 MI08-2308 TN02-5402 CA25-7125 MI09-2309 TN03-5403 CA26-7126 MI12-2312 TN04-5404 CA27-7127 MI13-2313 TX04-4908 CA28-7128 MI16-2316 TX15-4915 CA29-7129 MI18-2318 TX18-4918 CA30-7130 TX19-4919 CA32-7132 TX22-4922 CA33-7133 TX25-4925 MN01-3301 VA03-4003 CA34-7134 MO01-3401 VA04-4004 CA38-7138 MO02-3402 WA01-7301 M003-3403 WA07-7307 CA40-7140 M009-3409 WA08-7308 CA42-7142 NC07-4707 WI04-2504 C001-6201 NH01-0401 WI05-2505 C002-6202 NJ01-1201 WI09-2509 C006-6206 NJ02-1202 WV01-5601 NJ04-1204 WY98-6898 CT03-0103 NJ09-1209 FL10-4310 NJ11-1211 FL17-4317 NY07-1307 FL18-4318 NY08-1308 FL19-4319 NY09-1309 GA01-4401 NY11-1311 GA03-4403 NY12-1312 IA04-3104 NY14-1314 IL01-2101 NY15-1315 IL03-2103 NY16-1316 IL04-2104 NY17-1317 IL06-2106 NY18-1318 IL07-2107 NY19-1319 NY22-1322 IL11-2111 NY31-1331 IL12-2112 NY32-1332 IL13-2113 NY33-1333 IL14-2114 NY34-1334 IL15-2115 OH03-2403 IL22-2122 0000. INAP, 5, 7-9 IN 783; 9 IN 786; NO POST INTERVIEW ============================== VAR 840068 NAME-#PERSONS COLUMNS 209 - 210 NUMERIC MD=GE 99 NUMBER OF PERSONS IN HOUSEHOLD ------------------------------ TOTAL NUMBER OF PERSONS IN HOUSING UNIT THIS FIGURE INCLUDES ALL PERSONS IN THE HOUSEHOLD, WHETHER ELIGIBLE OR NOT TO PARTICIPATE IN THE STUDY BY THE CRITERIA OF AGE AND NATIONALITY. THE ACTUAL NUMBER OF PERSONS WAS CODED HERE. 01. . . 98. 99. NA ============================== VAR 840069 NAME-HOUSEHOLD COMP COLUMNS 211 - 212 NUMERIC MD=GE 99 HOUSEHOLD COMPOSTION -------------------- HOUSEHOLD COMPOSITION - ADULT (18 YEARS AND OLDER) THIS VARIABLE INCLUDES ONLY THOSE HOUSEHOLD MEMBERS WHO WERE 18 OR OLDER, WHETHER OR NOT THEY WERE ELIGIBLE TO PARTICIPATE IN THE STUDY ON THE BASIS OF NATIONALITY. 206 10. ONE ADULT MALE HEAD 30 11. ONE ADULT MALE HEAD PLUS ONE OTHER NON-RELATIVE 12 12. ONE ADULT MALE HEAD PLUS TWO OR MORE OTHER NON-RELATIVES 403 20. ONE ADULT FEMALE HEAD 18 21. ONE ADULT FEMALE HEAD PLUS ONE OTHER NON-RELATIVE 5 22. ONE ADULT MALE HEAD PLUS TWO OR MORE OTHER NON-RELATIVES 1148 30. ONE MARRIED COUPLE 172 40. ONE MARRIED COUPLE PLUS ONE OTHER RELATIVE 88 50. ONE MARRIED COUPLE PLUS TWO OR MORE OTHER RELATIVES 5 51. ONE MARRIED COUPLE PLUS ONE OTHER NON-RELATIVE 1 52. ONE MARRIED COUPLE PLUS TWO OR MORE OTHER NON-RELATIVES 37 60. AN UNMARRIED MALE HEAD PLUS ONE OTHER RELATIVE 19 70. AN UNMARRIED MALE HEAD PLUS TWO OR MORE OTHER RELATIVES 73 80. AN UNMARRIED FEMALE HEAD PLUS ONE OTHER RELATIVE 39 90. AN UNMARRIED FEMALE HEAD PLUS TWO OR MORE OTHER RELATIVES 1 99. NA ============================== VAR 840070 NAME-#ELIGIBLE ADULTS COLUMNS 213 - 213 NUMERIC MD=GE 99 NUMBER OF POLITICALLY ELIGIBLE ADULTS IN HOUSEHOLD -------------------------------------------------- THIS VARIABLE INCLUDES THOSE HOUSEHOLD MEMBERS WHO WERE BOTH 18 OR OLDER AND CITIZENS, AS OF ELECTION DAY, 1984. THE ACTUAL NUMBER OF POLITICALLY ELIGIBLE ADULTS WAS CODED. 01. . . 98. 99. NA ============================== VAR 840071 NAME-#CHILDREN < 6 COLUMNS 214 - 214 NUMERIC MD=GE 9 NUMBER OF CHILDREN UNDER 6 -------------------------- NUMBER OF CHILDREN 5 YEARS OR UNDER IN HOUSEHOLD 1788 0. NONE 334 1. ONE 110 2. TWO 18 3. THREE 5 4. FOUR 5. FIVE 6. SIX 7. SEVEN 8. EIGHT 2 9. NA ============================== VAR 840072 NAME-#CHILDREN 6-9 COLUMNS 215 - 215 NUMERIC MD=GE 9 NUMBER OF CHILDREN 6-9 YEARS ---------------------------- NUMBER OF CHILDREN 6-9 YEARS OLD IN HOUSEHOLD 1930 0. NONE 276 1. ONE 45 2. TWO 4 3. THREE 4. FOUR 5. FIVE 6. SIX 7. SEVEN 8. EIGHT 2 9. NA ============================== VAR 840073 NAME-#CHILDREN 10-13 COLUMNS 216 - 216 NUMERIC MD=GE 9 NUMBER OF CHILDREN 10-13 YEARS ------------------------------ NUMBER OF CHILDREN 10-13 YEARS OLD IN HOUSEHOLD 1921 0. NONE 279 1. ONE 50 2. TWO 5 3. THREE 4. FOUR 5. FIVE 6. SIX 7. SEVEN 8. EIGHT 2 9. NA ============================== VAR 840074 NAME-#CHILDREN 14-17 COLUMNS 217 - 217 NUMERIC MD=GE 9 NUMBER OF CHILDREN 14-17 YEARS ------------------------------ NUMBER OF CHILDREN 14-17 YEARS IN HOUSEHOLD 1936 0. NONE 242 1. ONE 64 2. TWO 9 3. THREE 4 4. FOUR 5. FIVE 6. SIX 7. SEVEN 8. EIGHT 2 9. NA ============================== VAR 840075 NAME-R'S INTEREST IN CAMPAIGN COLUMNS 218 - 218 NUMERIC MD=GE 8 Q.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? ----------------------------------------------------------- 638 1. VERY MUCH INTERESTED 1054 3. SOMEWHAT INTERESTED 558 5. NOT MUCH INTERESTED 1 8. DON'T KNOW 6 9. NA ============================== VAR 840076 NAME-R'S PREDICTION-PRESIDENT COLUMNS 219 - 219 NUMERIC MD=GE 8 Q.A2. WHO DO YOU THINK WILL BE ELECTED PRESIDENT IN NOVEMBER? ---------------------------------------------------- 1820 1. REAGAN 267 2. MONDALE 4 7. OTHER, SPECIFY: 165 8. DON'T KNOW 1 9. NA ============================== VAR 840077 NAME-CLOSE PRES RACE-Y/N COLUMNS 220 - 220 NUMERIC MD=0 OR GE 8 Q.A2A. DO YOU THINK THE PRESIDENTIAL RACE WILL BE CLOSE, OR WILL (NAME GIVEN IN A2) WIN BY QUITE A BIT? Q.A2B. DO YOU THINK THE PRESIDENTIAL RACE WILL BE CLOSE OR WILL ONE CANDIDATE WIN BY QUITE A BIT? ----------------------------------------------------------- 1070 1. CLOSE RACE 1040 3. WIN BY QUITE A BIT 142 8. DON'T KNOW 4 9. NA 1 0. INAP, 9 IN 76 ============================== VAR 840078 NAME-WCH PRS CD-WIN R'S STATE COLUMNS 221 - 221 NUMERIC MD=GE 8 Q.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?) ------------------------------------------------------------ 1361 1. REAGAN 632 2. MONDALE 4 7. OTHER, SPECIFY: 256 8. DON'T KNOW 4 9. NA ============================== VAR 840079 NAME-P RACE,R STATE-CLOSE Y/N COLUMNS 222 - 222 NUMERIC MD=0 OR GE 8 Q.A3A. DO YOU THINK THE PRESIDENTIAL RACE WILL BE CLOSE HERE IN (R'S STATE) OR WILL (NAME GIVEN IN A3) WIN BY QUITE A BIT? Q.A3B. DO YOU THINK THE PRESIDENTIAL RACE WILL BE CLOSE HERE IN (R'S STATE) OR WILL ONE CANDIDATE WIN BY QUITE A BIT? ------------------------------------------------------------ 1111 1. CLOSE RACE 961 3. WIN BY QUITE A BIT 176 8. DON'T KNOW 5 9. NA 4 0. INAP, 9 IN 78 ============================== VAR 840080 NAME-DOES R CARE WHC PTY WINS COLUMNS 223 - 223 NUMERIC MD=GE 8 Q.A4. GENERALLY SPEAKING, WOULD YOU SAY THAT YOU PERSONALLY CARE A GOOD DEAL WHICH PARTY WINS THE PRESIDENTIAL ELECTION THIS FALL OR THAT YOU DON'T CARE VERY MUCH WHICH PARTY WINS? ------------------------------------------------------------ 1453 1. CARE A GOOD DEAL 735 3. DON'T CARE VERY MUCH 53 8. DON'T KNOW 16 9. NA ============================== VAR 840081 NAME-MIGHT R VOTE FOR REAGAN COLUMNS 224 - 224 NUMERIC MD=GE 8 Q.B1. NOW I'D LIKE TO ASK YOU ABOUT THE GOOD AND BAD POINTS OF THE TWO MAJOR CANDIDATES FOR PRESIDENT. IS THERE ANYTHING IN PARTICULAR ABOUT MR. REAGAN THAT MIGHT MAKE YOU WANT TO VOTE FOR HIM? ------------------------------------------------------------ 1272 1. YES 923 5. NO 55 8. DON'T KNOW 7 9. NA ============================== VAR 840082 NAME-WHY R WOULD VTE FR RGN-1 COLUMNS 225 - 228 NUMERIC MD=0 OR GE 9998 Q.B1A(1). WHAT IS THAT? Q.B1B(1). ANYTHING ELSE? ---------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 9998. DK 9999. NA 0000. INAP, 5, 8-9 IN 81; NO FURTHER MENTIONS ============================== VAR 840083 NAME-WHY R WOULD VTE FR RGN-2 COLUMNS 229 - 232 NUMERIC MD=0 Q.B1A(2). WHAT IS THAT? Q.B1B(2). ANYTHING ELSE? ------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 81; NO FURTHER MENTIONS ============================== VAR 840084 NAME-WHY R WOULD VTE FR RGN-3 COLUMNS 233 - 236 NUMERIC MD=0 Q.B1A(3). WHAT IS THAT? Q.B1B(3). ANYTHING ELSE? ----------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 81; NO FURTHER MENTIONS ============================== VAR 840085 NAME-WHY R WOULD VTE FR RGN-4 COLUMNS 237 - 240 NUMERIC MD=0 Q.B1A(4). WHAT IS THAT? Q.B1B(4). ANYTHING ELSE? ------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 81; NO FURTHER MENTIONS ============================== VAR 840086 NAME-WHY R WOULD VTE FR RGN-5 COLUMNS 241 - 244 NUMERIC MD=0 Q.B1A(5). WHAT IS THAT? Q.B1B(5). ANYTHING ELSE? ----------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 81; NO FURTHER MENTIONS ============================== VAR 840087 NAME-MIGHT R VOTE AGAINST RGN COLUMNS 245 - 245 NUMERIC MD=GE 8 Q.B2. IS THERE ANYTHING IN PARTICULAR ABOUT MR. REAGAN THAT MIGHT MAKE YOU WANT TO VOTE AGAINST HIM? ------------------------------------------------------------ 1379 1. YES 854 5. NO 19 8. DON'T KNOW 5 9. NA ============================== VAR 840088 NAME-WHY R VOTE AGAINST RGN-1 COLUMNS 246 - 249 NUMERIC MD=0 OR GE 9998 Q.B2A(1). WHAT IS THAT? Q.B2B(1). ANYTHING ELSE? ----------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 9998. DK 9999. NA 0000. INAP, 5, 8-9 IN 87; NO FURTHER MENTIONS ============================== VAR 840089 NAME-WHY R VOTE AGAINST RGN-2 COLUMNS 250 - 253 NUMERIC MD=0 Q.B2A(2). WHAT IS THAT? Q.B2B(2). ANYTHING ELSE? ------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 87; NO FURTHER MENTIONS ============================== VAR 840090 NAME-WHY R VOTE AGAINST RGN-3 COLUMNS 254 - 257 NUMERIC MD=0 Q.B2A(3). WHAT IS THAT? Q.B2B(3). ANYTHING ELSE? ----------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 87; NO FURTHER MENTIONS ============================== VAR 840091 NAME-WHY R VOTE AGAINST RGN-4 COLUMNS 258 - 261 NUMERIC MD=0 Q.B2A(4). WHAT IS THAT? Q.B2B(4). ANYTHING ELSE? ------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 87; NO FURTHER MENTIONS ============================== VAR 840092 NAME-WHY R VOTE AGAINST RGN-5 COLUMNS 262 - 265 NUMERIC MD=0 Q.B2A(5). WHAT IS THAT? Q.B2B(5). ANYTHING ELSE? ----------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 87; NO FURTHER MENTIONS ============================== VAR 840093 NAME-MIGHT R VT FOR MONDALE COLUMNS 266 - 266 NUMERIC MD=GE 8 Q.B3. IS THERE ANYTHING IN PARTICULAR ABOUT MR. MONDALE THAT MIGHT MAKE YOU WANT TO VOTE FOR HIM? -------------------------------------------------------- 1031 1. YES 1149 5. NO 65 8. DON'T KNOW 12 9. NA ============================== VAR 840094 NAME-WHY R WULD VT FR MNDLE-1 COLUMNS 267 - 270 NUMERIC MD=0 OR GE 9998 Q.B3A(1). WHAT IS THAT? Q.B3B(1). ANYTHING ELSE? ----------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 9998. DK 9999. NA 0000. INAP, 5, 8-9 IN 93; NO FURTHER MENTIONS ============================== VAR 840095 NAME-WHY R WULD VT FR MNDLE-2 COLUMNS 271 - 274 NUMERIC MD=0 Q.B3A(2). WHAT IS THAT? Q.B3B(2). ANYTHING ELSE? ------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 93; NO FURTHER MENTIONS ============================== VAR 840096 NAME-WHY R WULD VT FR MNDLE-3 COLUMNS 275 - 278 NUMERIC MD=0 Q.B3A(3). WHAT IS THAT? Q.B3B(3). ANYTHING ELSE? ----------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 93; NO FURTHER MENTIONS ============================== VAR 840097 NAME-WHY R WULD VT FR MNDLE-4 COLUMNS 279 - 282 NUMERIC MD=0 Q.B3A(4). WHAT IS THAT? Q.B3B(4). ANYTHING ELSE? ------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 93; NO FURTHER MENTIONS ============================== VAR 840098 NAME-WHY R WULD VT FR MNDLE-5 COLUMNS 283 - 286 NUMERIC MD=0 Q.B3A(5). WHAT IS THAT? Q.B3B(5). ANYTHING ELSE? ----------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 93; NO FURTHER MENTIONS ============================== VAR 840099 NAME-MIGHT R VT AGAINST MNDLE COLUMNS 287 - 287 NUMERIC MD=GE 8 Q.B4. IS THERE ANYTHING IN PARTICULAR ABOUT MR. MONDALE THAT MIGHT MAKE YOU WANT TO VOTE AGAINST HIM? -------------------------------------------------------- 1186 1. YES 1003 5. NO 61 8. DON'T KNOW 7 9. NA ============================== VAR 840100 NAME-WHY R WD VT AGST MNDLE-1 COLUMNS 288 - 291 NUMERIC MD=0 OR GE 9998 Q.B4A(1). WHAT IS THAT? Q.B4B(1). ANYTHING ELSE? ----------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 9998. DK 9999. NA 0000. INAP, 5, 8-9 IN 99; NO FURTHER MENTIONS ============================== VAR 840101 NAME-WHY R WD VT AGST MNDLE-2 COLUMNS 292 - 295 NUMERIC MD=0 Q.B4A(2). WHAT IS THAT? Q.B4B(2). ANYTHING ELSE? ------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 99; NO FURTHER MENTIONS ============================== VAR 840102 NAME-WHY R WD VT AGST MNDLE-3 COLUMNS 296 - 299 NUMERIC MD=0 Q.B1A(3). WHAT IS THAT? Q.B1B(3). ANYTHING ELSE? ----------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 99; NO FURTHER MENTIONS ============================== VAR 840103 NAME-WHY R WD VT AGST MNDLE-4 COLUMNS 300 - 303 NUMERIC MD=0 Q.B4A(4). WHAT IS THAT? Q.B4B(4). ANYTHING ELSE? ------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 99; NO FURTHER MENTIONS ============================== VAR 840104 NAME-WHY R WD VT AGST MNDLE-5 COLUMNS 304 - 307 NUMERIC MD=0 Q.B4A(5). WHAT IS THAT? Q.B4B(5). ANYTHING ELSE? ----------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 99; NO FURTHER MENTIONS ============================== VAR 840105 NAME-DOES R DISC POLS WITH FA COLUMNS 308 - 308 NUMERIC MD=GE 8 Q.C1. DO YOU EVER DISCUSS POLITICS WITH YOUR FAMILY OR FRIENDS? ------------------------------------------------------- 1516 1. YES 739 5. NO 1 8. DON'T KNOW 1 9. NA ============================== VAR 840106 NAME-HOW OFTN DISC POLS COLUMNS 309 - 309 NUMERIC MD=0 OR GE 8 Q.C1A. (R. B., P. 1) HOW OFTEN DO YOU DISCUSS POLITICS WITH YOUR FAMILY OR FRIENDS-- EVERY DAY, 3 OR 4 TIMES A WEEK, ONCE OR TWICE A WEEK, OR LESS OFTEN THAN THAT? ----------------------------------------------------------- 199 1. EVERY DAY 265 2. 3 OR 4 TIMES 535 3. ONCE OR TWICE A WEEK 510 4. LESS OFTEN 1 5. R VOLUNTEERS: NEVER 4 8. DK 2 9. NA 741 0. INAP, 5, 8-9 IN 105 ============================== VAR 840107 NAME-DAYS IN PST WK DISC POLS COLUMNS 310 - 310 NUMERIC MD=GE 8 Q.C1B. HOW MANY DAYS IN THE PAST WEEK DID YOU TALK ABOUT POLITICS WITH YOUR FAMILY OR FRIENDS? --------------------------------------------------------- 212 0. NONE 314 1. ONE 300 2. TWO 211 3. THREE 119 4. FOUR 47 5. FIVE 16 6. SIX 77 7. SEVEN, EVERY DAY 12 8. DK 949 9. NA; INAP, 5, 8 OR 9 IN 105; 1, 5, 9 IN 106 ============================== VAR 840108 NAME-HOW OFTEN R WATCHES NEWS COLUMNS 311 - 311 NUMERIC MD=GE 8 Q.C2. HOW OFTEN DO YOU WATCH THE NATIONAL NETWORK NEWS ON TV -- EVERY DAY, 3 OR 4 TIMES A WEEK, ONCE OR TWICE A WEEK, OR LESS OFTEN? ----------------------------------------------------------- 1025 1. EVERY DAY 462 2. 3 OR 4 TIMES 408 3. ONCE OR TWICE A WEEK 270 4. LESS OFTEN 84 5. R VOLUNTEERS: NEVER WATCHES NEWS ON TV 6 8. DON'T KNOW 2 9. NA ============================== VAR 840109 NAME-HWMCH ATT-GVT/POL TV NWS COLUMNS 312 - 312 NUMERIC MD=0 OR GE 8 Q.C2A. WHEN YOU WATCH THE NEWS ON TV, DO YOU PAY A GREAT DEAL OF ATTENTION TO NEWS ABOUT GOVERNMENT AND POLITICS, DO YOU PAY SOME ATTENTION, OR DON'T YOU PAY MUCH ATTENTION TO NEWS ABOUT GOVERNMENT AND POLITICS? ----------------------------------------------------------- 293 1. DON'T PAY MUCH ATTENTION 1105 3. PAY SOME ATTENTION 766 5. PAY A GREAT DEAL OF ATTENTION 2 8. DON'T KNOW 5 9. NA 86 0. INAP, 5 OR 9 IN 109 ============================== VAR 840110 NAME-DAYS PST WK WTCH TV NEW COLUMNS 313 - 313 NUMERIC MD=GE 8 Q.C2B. HOW MANY DAYS IN THE PAST WEEK DID YOU WATCH NATIONAL NEWS ON TV? ---------------------------------------------------- 310 0. NONE 233 1. ONE 242 2. TWO 272 3. THREE 197 4. FOUR 194 5. FIVE 116 6. SIX 589 7. SEVEN, EVERY DAY 18 8. DK;NA 86 9. INAP, 5 OR 9 IN 108 ============================== VAR 840111 NAME-HWMCH ATTN-TV CMPGN NWS COLUMNS 314 - 314 NUMERIC MD=0 OR GE 8 Q.C2C. (R. B., 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? ----------------------------------------------------------- 373 1. A GREAT DEAL 541 2. QUITE A BIT 624 3. SOME 255 4. VERY LITTLE 48 5. NONE 1 8. DK 1 9. NA 414 0. INAP, 5 OR 9 IN 108; 0, 8-9 IN 110 ============================== VAR 840112 NAME-DAYS PST WK READ NWSPAPR COLUMNS 315 - 315 NUMERIC MD=GE 8 Q.C3. HOW MANY DAYS IN THE PAST WEEK DID YOU READ A DAILY NEWSPAPER? ---------------------------------------------------------- 520 0. NONE 208 1. ONE 184 2. TWO 154 3. THREE 98 4. FOUR 107 5. FIVE 100 6. SIX 879 7. SEVEN, EVERY DAY 2 8. DK 5 9. NA ============================== VAR 840113 NAME-WHCH PAPERS DID R READ-1 COLUMNS 316 - 318 NUMERIC MD=0 OR GE 998 Q.C3A. WHICH PAPER OR PAPERS DID YOU READ? Q.C3A(1). ------------------------------------------- IF THE NEWSPAPER(S) MENTIONED DID NOT APPEAR IN THE NUMERIC NEWSPAPER LIST, THE CODE VALUE "997" WAS ASSIGNED AS APPROPRIATE, AND THE ACTUAL NAME OF THE NEWSPAPER WAS CODED. SEE APPENDIX NOTE 001. . . 996. 997. NEWSPAPER GIVEN NOT IN NEWSPAPER CODE 998. DK 999. NA 000. INAP, 0, 8-9 IN 112; NO FURTHER MENTIONS ============================== VAR 840114 NAME-WHCH PAPERS DID R READ-2 COLUMNS 319 - 321 NUMERIC MD=0 Q.C3B(2). SECOND MENTION OF NEWSPAPER READ ------------------------------------------ SEE APPENDIX NOTE 001. . . 996. 997. NEWSPAPER GIVEN NOT IN NEWSPAPER CODE 000. INAP, 0, 8-9 IN 112; NO FURTHER MENTIONS ============================== VAR 840115 NAME-WHCH PAPERS DID R READ-3 COLUMNS 322 - 324 NUMERIC MD=0 Q.C3B(3). THIRD MENTION OF NEWSPAPER READ ------------------------------------------ SEE APPENDIX NOTE 001. . . 996. 997. NEWSPAPER GIVEN NOT IN NEWSPAPER CODE 000. INAP, 0, 8-9 IN 112; NO FURTHER MENTIONS ============================== VAR 840116 NAME-HWMCH ATTN-CPGN NWSPAPR COLUMNS 325 - 325 NUMERIC MD=0 OR GE 8 Q.C3B. (R. B., STILL P. 2) 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? ------------------------------------------------------------ 176 1. A GREAT DEAL 309 2. QUITE A BIT 624 3. SOME 446 4. VERY LITTLE 166 5. NONE 8. DK 9 9. NA 527 0. INAP, 0, 8-9 IN 112 ============================== VAR 840117 NAME-R PST WK READ NEWS MAG COLUMNS 326 - 326 NUMERIC MD=GE 8 Q.C4. DURING THE PAST WEEK DID YOU READ A WEEKLY NEWS MAGAZINE SUCH AS TIME, NEWSWEEK, U.S. NEWS AND WORLD REPORT, OR SOME OTHER WEEKLY NEWS MAGAZINE? ------------------------------------------------------------ 408 1. YES 1841 5. NO 6 8. DK 2 9. NA ============================== VAR 840118 NAME-HWMCH ATN-MAG ARTCL CPGN COLUMNS 327 - 327 NUMERIC MD=0 OR GE 8 Q.C4B. (R. B., STILL P. 2) 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? ------------------------------------------------------------ 57 1. A GREAT DEAL 91 2. QUITE A BIT 166 3. SOME 57 4. VERY LITTLE 34 5. NONE 8. DK 3 9. NA 1849 0. INAP, 5, 8-9 IN 117 ============================== VAR 840119 NAME-IS R LIB/CON IN POLS COLUMNS 328 - 328 NUMERIC MD=0 OR GE 9 Q.D1. IN GENERAL, WHEN IT COMES TO POLITICS, DO YOU USUALLY THINK OF YOURSELF AS A LIBERAL, A CONSERVATIVE, A MODERATE, OR WHAT? ------------------------------------------------------------ 424 1. YES, LIBERAL 684 3. YES, MODERATE (MIDDLE OF THE ROAD) 667 5. YES, CONSERVATIVE 104 7. NO, NEVER (NO PREFERENCE) 130 8. DK 7 9. NA 241 0. R INSISTS (HE/SHE) HAS ABSOLUTELY NO UNDERSTANDING OF "LIBERAL" AND "CONSERVATIVE" ============================== VAR 840120 NAME-R: STR LIB/CON COLUMNS 329 - 329 NUMERIC MD=0 OR GE 8 Q.D1A. DO YOU THINK OF YOURSELF AS A STRONG LIBERAL OR A NOT VERY STRONG LIBERAL? Q.D1B. DO YOU THINK OF YOURSELF AS A STRONG CONSERVATIVE OR A NOT VERY STRONG CONSERVATIVE? ------------------------------------------------------------ 454 1. STRONG 620 5. NOT VERY STRONG 17 8. DK 9. NA 1166 0. INAP, 0, 3, 7-9 IN 119 ============================== VAR 840121 NAME-IS R MORE LIB OR CONS COLUMNS 330 - 330 NUMERIC MD=0 OR GE 8 Q.D1C. DO YOU THINK OF YOURSELF AS MORE LIKE A LIBERAL OR MORE LIKE A CONSERVATIVE? ---------------------------------------------------------- 251 1. LIBERAL 114 3. NEITHER, R REFUSES TO CHOOSE 452 5. CONSERVATIVE 99 8. DK 2 9. NA 1339 0. INAP, 0-1, 5, 9 IN 119 ============================== VAR 840122 NAME-SUMMARY: R'S LIB/CONS COLUMNS 331 - 332 NUMERIC MD=0 OR GE 99 Q.D1X. SUMMARY: R'S LIBERAL-CONSERVATIVE PLACEMENT -------------------------------------------------- BUILT FROM 119, 120 AND 121 167 01. STRONG LIBERAL (110) 249 02. NOT VERY STRONG LIBERAL (150) 251 03. MODERATE-SLIGHTLY LIBERAL (301,701,801) 57 04. MODERATE (303) 452 05. MODERATE-SLIGHTLY CONSERVATIVE (305, 705, 805) 371 06. NOT VERY STRONG CONSERVATIVE (550) 287 07. STRONG CONSERVATIVE (510) 50 08. INCOMPLETE BRANCHING - DK (180, 308, 580) 09. INCOMPLETE BRANCHING - NA (190, 309, 590) 7 99. NA (900) 366 00. INAP, NO UNDERSTANDING OF TERMS, NEVER THOUGHT OF SELF AS LIBERAL-CONSERVATIVE (000, 703, 803, 708, 709, 808, 809) ============================== VAR 840123 NAME-REAGAN-LIB/CONS PLACMENT COLUMNS 333 - 333 NUMERIC MD=0 OR GE 9 Q.D2. WHAT ABOUT RONALD REAGAN? DO YOU USUALLY THINK OF RONALD REAGAN AS A LIBERAL, A CONSERVATIVE, A MODERATE OR WHAT? --------------------------------------------------------- 290 1. YES, LIBERAL 337 3. YES, MODERATE (MIDDLE OF THE ROAD) 1041 5. YES, CONSERVATIVE 67 7. NO, NEVER (NO PREFERENCE) 266 8. DON'T KNOW 15 9. NA 241 0. INAP, 0 IN 119 ============================== VAR 840124 NAME-REAGAN-STR LIB/CON COLUMNS 334 - 334 NUMERIC MD=0 OR GE 8 Q.D2A. DO YOU THINK HE IS A STRONG LIBERAL OR A NOT VERY STRONG LIBERAL? Q.D2B. DO YOU THINK HE IS A STRONG CONSERVATIVE OR A NOT VERY STRONG CONSERVATIVE? --------------------------------------------------------- 964 1. STRONG 3. NEITHER 319 5. NOT VERY STRONG 43 8. DK 5 9. NA 926 0. INAP, 0 IN 119; 3, 7-9 IN 123 ============================== VAR 840125 NAME-IS RGN MOR LIB OR CONS COLUMNS 335 - 335 NUMERIC MD=0 OR GE 8 Q.D2C. DO YOU THINK HE IS MORE LIKE A LIBERAL OR MORE LIKE A CONSERVATIVE? ----------------------------------------------------------- 125 1. LIBERAL 38 3. NEITHER 297 5. CONSERVATIVE 199 8. DON'T KNOW 11 9. NA 1587 0. INAP, 0 IN 119; 1,5, 9 IN 123 ============================== VAR 840126 NAME-SUMMARY: RGN LIB/CON PL COLUMNS 336 - 337 NUMERIC MD=0 OR GE 99 Q.D2X. SUMMARY: REAGAN LIBERAL-CONSERVATIVE PLACEMENT ----------------------------------------------------- BUILT FROM 123, 124, 125 180 01. STRONG LIBERAL (110) 94 02. NOT VERY STRONG LIBERAL (150) 125 03. MODERATE-SLIGHTLY LIBERAL (301,701,801) 13 04. MODERATE (303) 297 05. MODERATE-SLIGHTLY CONSERVATIVE (305, 705, 805) 225 06. NOT VERY STRONG CONSERVATIVE (550) 784 07. STRONG CONSERVATIVE (510) 66 08. INCOMPLETE BRANCHING - DK (180, 308, 580) 8 09. INCOMPLETE BRANCHING - NA (190, 309, 590) 15 99. NA (900) 450 00. INAP, NO UNDERSTANDING OF TERMS, NEVER THOUGHT OF SELF AS LIBERAL-CONSERVATIVE; 0 IN 119 ============================== VAR 840127 NAME-MONDALE:LIB/CON PLACMENT COLUMNS 338 - 338 NUMERIC MD=0 OR GE 9 Q.D3. WHAT ABOUT WALTER MONDALE? DO YOU USUALLY THINK OF HIM AS A LIBERAL, A CONSERVATIVE, A MODERATE, OR WHAT? --------------------------------------------------------- 793 1. YES, LIBERAL 506 3. YES, MODERATE (MIDDLE OF THE ROAD) 319 5. YES, CONSERVATIVE 60 7. NO, NEVER (NO PREFERENCE) 330 8. DON'T KNOW 8 9. NA 241 0. INAP, 0 IN 119 ============================== VAR 840128 NAME-MONDALE: STR LIB/CONS COLUMNS 339 - 339 NUMERIC MD=0 OR GE 8 Q.D3A. DO YOU THINK HE IS A STRONG LIBERAL OR A NOT VERY STRONG LIBERAL? Q.D3B. DO YOU THINK HE IS A STRONG CONSERVATIVE OR A NOT VERY STRONG CONSERVATIVE? --------------------------------------------------------- 708 1. STRONG 361 5. NOT VERY STRONG 43 8. DK 9. NA 1145 0. INAP, 0 IN 119; 3, 7-9 IN 127 ============================== VAR 840129 NAME-IS MNDL MOR LIB OR CONS COLUMNS 340 - 340 NUMERIC MD=0 OR GE 8 Q.D3C. DO YOU THINK HE IS MORE LIKE A LIBERAL OR MORE LIKE A CONSERVATIVE? ----------------------------------------------------------- 357 1. LIBERAL 49 3. NEITHER 195 5. CONSERVATIVE 283 8. DON'T KNOW 12 9. NA 1361 0. INAP, 0 IN 119; 1, 5, 9 IN 127 ============================== VAR 840130 NAME-SUMMARY:MNDL LIB OR CONS COLUMNS 341 - 342 NUMERIC MD=0 OR GE 99 Q.D3X. SUMMARY: MONDALE LIBERAL-CONSERVATIVE PLACEMENT ------------------------------------------------------ BUILT FROM 127, 128, 129 508 01. STRONG LIBERAL (110) 251 02. NOT VERY STRONG LIBERAL (150) 357 03. MODERATE-SLIGHTLY LIBERAL (301,701,801) 18 04. MODERATE (303) 195 05. MODERATE-SLIGHTLY CONSERVATIVE (305, 705, 805) 110 06. NOT VERY STRONG CONSERVATIVE (550) 200 07. STRONG CONSERVATIVE (510) 74 08. INCOMPLETE BRANCHING - DK (180, 308, 580) 1 09. INCOMPLETE BRANCHING - NA (190, 309, 590) 8 99. NA (900) 535 00. INAP, NO UNDERSTANDING OF TERMS, NEVER THOUGHT OF SELF AS LIBERAL-CONSERVATIVE; 0 IN 119 ============================== VAR 840131 NAME-DEM PTY-LIB/CON PLACMENT COLUMNS 343 - 343 NUMERIC MD=0 OR GE 9 Q.D4. WHAT ABOUT THE DEMOCRATIC PARTY? DO YOU USUALLY THINK OF THE DEMOCRATIC PARTY AS LIBERAL, CONSERVATIVE, MODERATE, OR WHAT? ------------------------------------------------------------ 945 1. YES, LIBERAL 429 3. YES, MODERATE (MIDDLE OF THE ROAD) 361 5. YES, CONSERVATIVE 40 7. NO, NEVER (NO PREFERENCE) 230 8. DON'T KNOW 11 9. NA 241 0. INAP, 0 IN 119 ============================== VAR 840132 NAME-HOW LIB/CON IS DEM PTY COLUMNS 344 - 344 NUMERIC MD=0 OR GE 8 Q.D4A. DO YOU THINK OF THE DEMOCRATIC PARTY AS VERY LIBERAL OR NOT VERY LIBERAL? Q.D4B. DO YOU THINK OF THE DEMOCRATIC PARTY AS VERY CONSERVATIVE OR NOT VERY CONSERVATIVE? ------------------------------------------------------------ 793 1. VERY 448 5. NOT VERY 55 8. DK 10 9. NA 951 0. INAP, 0 IN 119; 3, 7-9 IN 131 ============================== VAR 840133 NAME-IS DEM PTY MORE LIB/CONS COLUMNS 345 - 345 NUMERIC MD=0 OR GE 8 Q.D4C. DO YOU THINK THE DEMOCRATIC PARTY IS MORE LIBERAL OR MORE CONSERVATIVE? ------------------------------------------------------------ 302 1. LIBERAL 35 3. NEITHER 141 5. CONSERVATIVE 210 8. DON'T KNOW 11 9. NA 1558 0. INAP, 0 IN 119; 1, 5, 9 IN 131 ============================== VAR 840134 NAME-SUMMARY: DEM LIB/CON PLC COLUMNS 346 - 347 NUMERIC MD=0 OR GE 99 Q.D4X.SUMMARY: DEMOCRATIC PARTY LIBERAL-CONSERVATIVE PLACEMENT ---------------------------------------------------- BUILT FROM 131, 132 AND 133 603 01. STRONG LIBERAL (110) 289 02. NOT VERY STRONG LIBERAL (150) 302 03. MODERATE-SLIGHTLY LIBERAL (301,701,801) 22 04. MODERATE (303) 141 05. MODERATE-SLIGHTLY CONSERVATIVE (305, 705, 805) 159 06. NOT VERY STRONG CONSERVATIVE (550) 190 07. STRONG CONSERVATIVE (510) 71 08. INCOMPLETE BRANCHING - DK (180, 308, 580) 13 09. INCOMPLETE BRANCHING - NA (190, 309, 590) 11 99. NA (900) 456 00. INAP, NO UNDERSTANDING OF TERMS, NEVER THOUGHT OF SELF AS LIBERAL-CONSERVATIVE; 0 IN 119 ============================== VAR 840135 NAME-REP PTY LIB/CONS PLACMNT COLUMNS 348 - 348 NUMERIC MD=0 OR GE 9 Q.D5. WHAT ABOUT THE REPUBLICAN PARTY? DO YOU USUALLY THINK OF THE REPUBLICAN PARTY AS LIBERAL, CONSERVATIVE, MODERATE OR WHAT? ------------------------------------------------------------ 312 1. YES, LIBERAL 356 3. YES, MODERATE (MIDDLE OF THE ROAD) 1053 5. YES, CONSERVATIVE 46 7. NO, NEVER 234 8. DON'T KNOW 15 9. NA 241 0. INAP, 0 IN 119 ============================== VAR 840136 NAME-HOW LIB/CON IS REP PTY COLUMNS 349 - 349 NUMERIC MD=0 OR GE 8 Q.D5A. DO YOU THINK OF THE REPUBLICAN PARTY AS VERY LIBERAL OR NOT VERY LIBERAL? Q.D5B. DO YOU THINK OF THE REPUBLICAN PARTY AS VERY CONSERVATIVE OR NOT VERY CONSERVATIVE? ------------------------------------------------------------ 868 1. VERY 446 5. NOT VERY 43 8. DK 8 9. NA 892 0. INAP, 0 IN 119; 3, 7-9 IN 135 ============================== VAR 840137 NAME-REP PTY MOR LIB/CON COLUMNS 350 - 350 NUMERIC MD=0 OR GE 8 Q.D5C. DO YOU THINK THE REPUBLICAN PARTY IS MORE LIBERAL OR MORE CONSERVATIVE? ------------------------------------------------------------ 95 1. LIBERAL 27 3. NEITHER 272 5. CONSERVATIVE 235 8. DON'T KNOW 7 9. NA 1621 0. INAP, 0 IN 119; 1, 5, 9 IN 135 ============================== VAR 840138 NAME-SUMMARY:REP LIB/CON PLAC COLUMNS 351 - 352 NUMERIC MD=0 OR GE 99 Q.D5X.SUMMARY: REPUBLICAN PARTY LIBERAL-CONSERVATIVE PLACEMENT ---------------------------------------------------- BUILT FROM 135, 136, 137 182 01. STRONG LIBERAL (110) 114 02. NOT VERY STRONG LIBERAL (150) 95 03. MODERATE-SLIGHTLY LIBERAL (301,701,801) 9 04. MODERATE (303) 272 05. MODERATE-SLIGHTLY CONSERVATIVE (305, 705, 805) 332 06. NOT VERY STRONG CONSERVATIVE (550) 686 07. STRONG CONSERVATIVE (510) 61 08. INCOMPLETE BRANCHING - DK (180, 308, 580) 9 09. INCOMPLETE BRANCHING - NA (190, 309, 590) 15 99. NA (900) 482 00. INAP, NO UNDERSTANDING OF TERMS, NEVER THOUGHT OF SELF AS LIBERAL-CONSERVATIVE; 0 IN 119 ============================== VAR 840139 NAME-FINANCIAL, COMPARED Y AG COLUMNS 353 - 353 NUMERIC MD=GE 8 Q.E1. 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? ----------------------------------------------------------- 960 1. BETTER OFF 634 3. SAME 622 5. WORSE OFF 29 8. DON'T KNOW 12 9. NA ============================== VAR 840140 NAME-HWMCH BETER/WORSE FIN CO COLUMNS 354 - 354 NUMERIC MD=0 OR GE 8 Q.E1A. IS THAT MUCH BETTER OFF OR SOMEWHAT BETTER OFF? Q.E1B. IS THAT MUCH WORSE OFF OR SOMEWHAT WORSE OFF? ------------------------------------------------------ 244 1. MUCH BETTER 718 2. SOMEWHAT BETTER 634 3. SAME; CODED 3 IN 139 387 4. SOMEWHAT WORSE 228 5. MUCH WORSE 1 8. DK 4 9. NA 41 0. INAP, 8-9 IN 139 ============================== VAR 840141 NAME-WHY DID FIN COND CHNGE-1 COLUMNS 355 - 357 NUMERIC MD=0 OR GE 998 Q.E1C/E(1A). WHY DO YOU THINK THIS HAPPENED? Q.E1D(1A). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 101. . . 997. 998. DK 999. NA 000. INAP, 8 OR 9 IN 139; NO FURTHER MENTION ============================== VAR 840142 NAME-FIN COND TYPE OF CHNGE-1 COLUMNS 358 - 358 NUMERIC MD=0 Q.E1C/E(2A). WHY DO YOU THINK THIS HAPPENED? Q.E1D(2A). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 889 1. INCREASING; HIGHER 288 3. STABLE; SAME; NO CHANGE 310 5. DECREASING; LOWER 645 9. NOT APPLICABLE/TYPE OF CHANGE NOT SPECIFIED 125 0. INAP, 8 OR 9 IN 139; 998-999 IN 141; NO FURTHER MENTION ============================== VAR 840143 NAME-FIN COND ACTOR-1 COLUMNS 359 - 359 NUMERIC MD=0 Q.E1C/E(1C). WHY DO YOU THINK THIS HAPPENED? Q.E1D(1C). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 90 1. PRESIDENT/ADMINISTRATION/REAGAN 1 2. CONGRESS 10 3. GOVERNMENT/POLITICIANS 2 4. POLITICAL PARTIES; DEMOCRATS/REPUBLICANS 4 7. OTHER ACTOR 2025 9. NA; ACTOR NOT SPECIFIED; "THEY" 125 0. INAP, 8 OR 9 IN 139; 998-999 IN 141; NO FURTHER MENTION ============================== VAR 840144 NAME-WHY DID FIN COND CHNGE-2 COLUMNS 360 - 362 NUMERIC MD=0 Q.E1C/E(2A). WHY DO YOU THINK THIS HAPPENED? Q.E1D(2A). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 101. . . 997. 000. INAP, 8 OR 9 IN 139; 998-999 IN 141; NO FURTHER MENTION ============================== VAR 840145 NAME-FIN COND TYPE OF CHNGE-2 COLUMNS 363 - 363 NUMERIC MD=0 Q.E1C/E(2B). WHY DO YOU THINK THIS HAPPENED? Q.E1D(2B). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 497 1. INCREASING; HIGHER 157 3. STABLE; SAME; NO CHANGE 228 5. DECREASING; LOWER 364 9. NOT APPLICABLE/TYPE OF CHANGE NOT SPECIFIED 1011 0. INAP, 8 OR 9 IN 139; 998-999 IN 141; NO FURTHER MENTION ============================== VAR 840146 NAME-FIN COND ACTOR-2 COLUMNS 364 - 364 NUMERIC MD=0 Q.E1C/E(2C). WHY DO YOU THINK THIS HAPPENED? Q.E1D(2C). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 53 1. PRESIDENT/ADMINISTRATION/REAGAN 1 2. CONGRESS 9 3. GOVERNMENT/POLITICIANS 1 4. POLITICAL PARTIES; DEMOCRATS/REPUBLICANS 4 7. OTHER ACTOR 1178 9. NA; ACTOR NOT SPECIFIED; "THEY" 1011 0. INAP, 8 OR 9 IN 139; 998-999 IN 141; NO FURTHER MENTION ============================== VAR 840147 NAME-WHY DID FIN COND CHNGE-3 COLUMNS 365 - 367 NUMERIC MD=0 Q.E1C/E(3A). WHY DO YOU THINK THIS HAPPENED? Q.E1D(3A). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 101. . . 997. 000. INAP, 8 OR 9 IN 139; NO FURTHER MENTION ============================== VAR 840148 NAME-FIN COND TYPE OF CHNGE-3 COLUMNS 368 - 368 NUMERIC MD=0 Q.E1C/E(3B). WHY DO YOU THINK THIS HAPPENED? Q.E1D(3B). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 220 1. INCREASING; HIGHER 51 3. STABLE; SAME; NO CHANGE 116 5. DECREASING; LOWER 193 9. NOT APPLICABLE/TYPE OF CHANGE NOT SPECIFIED 1677 0. INAP, 8 OR 9 IN 139; 998-999 IN 141; NO FURTHER MENTION ============================== VAR 840149 NAME-FIN COND ACTOR-3 COLUMNS 369 - 369 NUMERIC MD=0 Q.E1C/E(3C). WHY DO YOU THINK THIS HAPPENED? Q.E1D(3C). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 25 1. PRESIDENT/ADMINISTRATION/REAGAN 2. CONGRESS 3 3. GOVERNMENT/POLITICIANS 1 4. POLITICAL PARTIES; DEMOCRATS/REPUBLICANS 3 7. OTHER ACTOR 548 9. NA; ACTOR NOT SPECIFIED; "THEY" 1677 0. INAP, 8 OR 9 IN 139; 998-999 IN 141; NO FURTHER MENTION ============================== VAR 840150 NAME-FIN COND CAUSAL LINKS COLUMNS 370 - 370 NUMERIC MD=0 Q.E1C/E(4). WHY DO YOU THINK THIS HAPPENED? Q.E1D(4). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? ------------------------------------------------------- SEE APPENDIX NOTE 164 1. 1ST AND 2ND MENTIONS CAUSALLY RELATED 13 2. 1ST AND 3RD MENTIONS CAUSALLY RELATED 39 3. 2ND AND 3RD MENTIONS CAUSALLY RELATED 97 4. 1ST, 2ND AND 3RD MENTIONS CAUSALLY RELATED 933 9. NO CAUSAL RELATION AMONG MENTIONS 1011 0. INAP, 8 IN 9 IN 139; 998-999 IN 141 ============================== VAR 840151 NAME-YEAR FROM NOW-FIN COND COLUMNS 371 - 371 NUMERIC MD=GE 8 Q.E2. 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? ----------------------------------------------------------- 802 1. BETTER YEAR FROM NOW 1106 3. SAME 186 5. WORSE YEAR FROM NOW 154 8. DON'T KNOW 9 9. NA ============================== VAR 840152 NAME-PST YR-DID R WTCH BUDGET COLUMNS 372 - 372 NUMERIC MD=GE 8 Q.E3. THIS PAST YEAR, HAVE YOU (AND YOUR FAMILY LIVING HERE) HAD TO WATCH YOUR BUDGET MORE CLOSELY THAN THE YEAR BEFORE? --------------------------------------------------------- 1294 1. YES 931 5. NO 28 8. DON'T KNOW 4 9. NA ============================== VAR 840153 NAME-HOW CLOSELY WATCH BUDGET COLUMNS 373 - 373 NUMERIC MD=0 OR GE 8 Q.E3A. IS THAT MUCH MORE CLOSELY OR A LITTLE MORE CLOSELY? ---------------------------------------------------------- 731 1. MUCH MORE CLOSELY 558 5. A LITTLE MORE CLOSELY 4 8. DK 1 9. NA 963 0. INAP, 5, 8-9 IN 152 ============================== VAR 840154 NAME-INCOME COMP/W COST-LIV COLUMNS 374 - 374 NUMERIC MD=GE 8 Q.E4. 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? ---------------------------------------------------------- 350 1. GONE UP MORE 1010 3. STAYED ABOUT EVEN 844 5. FALLEN BEHIND 47 8. DON'T KNOW 6 9. NA ============================== VAR 840155 NAME-COST-LIVING/UP AND DOWN COLUMNS 375 - 375 NUMERIC MD=0 OR GE 8 Q.E4A. HAS IT GONE UP A LOT MORE OR A LITTLE MORE? Q.E4B. HAS IT FALLEN BEHIND A LOT OR A LITTLE? -------------------------------------------------- 124 1. GONE UP A LOT MORE 224 2. GONE UP A LITTLE MORE 1010 3. STAYED ABOUT EVEN (CODED 3 IN 154) 462 4. FALLEN BEHIND A LITTLE 378 5. FALLEN BEHIND A LOT 2 8. DK 4 9. NA 53 0. INAP, CODED 8-9 IN 154 ============================== VAR 840156 NAME-PST YR-BUY NEEDED ITEMS COLUMNS 376 - 376 NUMERIC MD=GE 8 Q.E5. DURING THE PAST YEAR HAVE YOU (AND YOUR FAMILY LIVING HERE) BEEN ABLE TO BUY MOST OF THE THINGS YOU NEEDED AND PLANNED ON OR HAVE YOU HAD TO PUT OFF BUYING THESE THINGS? ------------------------------------------------------------ 1192 1. BEEN ABLE TO BUY 1034 5. HAD TO PUT OFF BUYING 22 8. DK 9 9. NA ============================== VAR 840157 NAME-PST YR-MED/DENTAL TREAT COLUMNS 377 - 377 NUMERIC MD=GE 8 Q.E6. 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? ------------------------------------------------------------ 570 1. YES 1674 5. NO 8 8. DON'T KNOW 5 9. NA ============================== VAR 840158 NAME-THIS YEAR DID R BORROW $ COLUMNS 378 - 378 NUMERIC MD=GE 8 Q.E7. THIS PAST YEAR DID (ANY OF) YOU BORROW MONEY FROM A BANK, A LENDING INSTITUTION, OR FROM RELATIVES OR FRIENDS IN ORDER TO MAKE ENDS MEET? ------------------------------------------------------------ 524 1. YES 1722 5. NO 5 8. DON'T KNOW 6 9. NA ============================== VAR 840159 NAME-DID R BORROW MORE/LESS $ COLUMNS 379 - 379 NUMERIC MD=0 OR GE 8 Q.E7A. DID YOU HAVE TO BORROW MORE MONEY, THE SAME AMOUNT, OR LESS MONEY, THAN THE YEAR BEFORE OR DIDN'T YOU HAVE TO BORROW MONEY THEN? ---------------------------------------------------------- 181 1. MORE 81 3. SAME 78 5. LESS 183 7. DIDN'T BORROW THEN 1 8. DON'T KNOW 9. NA 1733 0. INAP, 5, 8-9 IN 158 ============================== VAR 840160 NAME-YEAR BEFORE- BORROW $ COLUMNS 380 - 380 NUMERIC MD=0 OR GE 8 Q.E7B. HOW ABOUT THE YEAR BEFORE LAST? DID YOU BORROW ANY MONEY THEN TO MAKE ENDS MEET? ---------------------------------------------------------- 159 1. YES 1536 5. NO 7 8. DON'T KNOW 20 9. NA 535 0. INAP, 1, 8-9 IN 158 ============================== VAR 840161 NAME-LST YR DID R USE SAVNGS COLUMNS 381 - 381 NUMERIC MD=GE 8 Q.E8. IN THE PAST YEAR HAVE YOU (AND YOUR FAMILY) HAD TO USE YOUR SAVINGS TO MAKE ENDS MEET? --------------------------------------------------------- 836 1. YES 249 3. R VOLUNTEERS: HAS NO SAVINGS 1151 5. NO 11 8. DON'T KNOW 10 9. NA ============================== VAR 840162 NAME-PST YR-USE MOR OF SAVNGS COLUMNS 382 - 382 NUMERIC MD=0 OR GE 8 Q.E8A. DID YOU USE MORE OF YOUR SAVINGS, THE SAME, OR LESS OF YOUR SAVINGS THAN THE YEAR BEFORE, OR DIDN'T YOU HAVE TO USE YOUR SAVINGS THEN? ----------------------------------------------------------- 410 1. MORE 146 3. SAME 94 5. LESS 171 7. DIDN'T USE SAVINGS THEN 12 8. DON'T KNOW 3 9. NA 1421 0. INAP, 3, 5, 8-9 IN 161 ============================== VAR 840163 NAME-THIS YEAR DID R SAVE $ COLUMNS 383 - 383 NUMERIC MD=0 OR GE 8 Q.E8B. OVER THE PAST YEAR HAVE YOU (AND YOUR FAMILY) BEEN ABLE TO SAVE ANY MONEY? --------------------------------------------------------- 754 1. YES 384 5. NO 9 8. DON'T KNOW 4 9. NA 1106 0. INAP, 1, 3, 8-9 IN 161 ============================== VAR 840164 NAME-YR BEFORE- SAVE MOR $ COLUMNS 384 - 384 NUMERIC MD=0 OR GE 8 Q.E8C. HAVE YOU BEEN ABLE TO SAVE MORE MONEY, THE SAME AMOUNT OR LESS MONEY THAN THE YEAR BEFORE? ------------------------------------------------------ 273 1. MORE 352 3. SAME 119 5. LESS 10 8. DK 9. NA 1503 0. INAP, 1, 3, 8-9 IN 161; 5, 8-9 IN 163 ============================== VAR 840165 NAME-PST YR-MISSED RENT PAYMT COLUMNS 385 - 385 NUMERIC MD=GE 8 Q.E9. THIS PAST YEAR HAVE YOU (OR ANYONE IN YOUR FAMILY LIVING HERE) FALLEN BEHIND IN RENT OR HOUSE PAYMENTS? -------------------------------------------------------- 206 1. YES 2037 5. NO 9 8. DON'T KNOW 5 9. NA ============================== VAR 840166 NAME-PST YR-LOKED FR OTHER JB COLUMNS 386 - 386 NUMERIC MD=GE 8 Q.E10. IN THE PAST YEAR HAVE (ANY OF) YOU LOOKED FOR A NEW JOB, OR LOOKED FOR A SECOND JOB, OR TRIED TO WORK MORE HOURS AT YOUR PRESENT JOB IN ORDER TO MAKE ENDS MEET? ------------------------------------------------------------ 813 1. YES 1433 5. NO 2 8. DON'T KNOW 9 9. NA ============================== VAR 840167 NAME-HAS ECON POL HELPED R COLUMNS 387 - 387 NUMERIC MD=GE 8 Q.E11. WOULD YOU SAY THAT THE ECONOMIC POLICIES OF THE FEDERAL GOVERNMENT HAVE MADE YOU (AND YOUR FAMILY LIVING HERE) BETTER OFF, WORSE OFF, OR HAVEN'T THEY MADE MUCH DIFFERENCE EITHER WAY? -------------------------------------------------------- 396 1. BETTER OFF 1265 3. HAVEN'T MADE MUCH DIFFERENCE 490 5. WORSE 98 8. DON'T KNOW 8 9. NA ============================== VAR 840168 NAME-HWMCH ECON POL HELPED R COLUMNS 388 - 388 NUMERIC MD=0 OR GE 8 Q.E11A. IS THAT MUCH BETTER OFF OR SOMEWHAT BETTER OFF? Q.E11B. IS THAT MUCH WORSE OFF OR SOMEWHAT WORSE OFF? ------------------------------------------------------- 71 1. MUCH BETTER 323 2. SOMEWHAT BETTER 1265 3. HAVEN'T MADE MUCH DIFFERENCE, CODED 3 IN 167 323 4. SOMEWHAT WORSE 166 5. MUCH WORSE 1 8. DK 2 9. NA 106 0. INAP, 8-9 IN 167 ============================== VAR 840169 NAME-DEF GROUPS READ TO R COLUMNS 389 - 389 NUMERIC MD=GE 9 Q.E12. SOMETIMES PEOPLE THINK ABOUT OTHER GROUPS OF PEOPLE IN SOCIETY WHEN THEY THINK ABOUT THEIR OWN ECONOMIC WELL-BEING, PEOPLE WHO ARE BEING HELPED OR HURT BY ECONOMIC CONDITIONS. WHEN IT COMES TO ECONOMIC MATTERS, WHAT GROUPS OF PEOPLE DO YOU FEEL CLOSE TO? (PROBE: ANY OTHERS?) ------------------------------------------------------------ (IF R DOESN'T KNOW WHAT WE MEAN BY "GROUPS": SOME PEOPLE HAVE MENTIONED FARMERS, THE ELDERLY, TEACHERS, BLACKS, AND UNION MEMBERS.) Q.E12A. CHECK THIS BOX IF THE DEFINITION OF "GROUPS" WAS READ TO R. 1374 1. BOX CHECKED 881 5. BOX NOT CHECKED 2 9. NA ============================== VAR 840170 NAME-R FEELS ECON CLOSE TO-1 COLUMNS 390 - 392 NUMERIC MD=0 OR GE 998 Q.E12B(1). GROUP(S) R FEELS CLOSE TO ----------------------------------------------------- 8 100. WOMEN 2 105. WORKING WOMEN 2 110. DISADVANTAGED WOMEN; UNMARRIED MOTHERS, SINGLE WOMEN CARING FOR PARENTS 3 112. WOMEN/MOTHERS RAISING CHILDREN ALONE 120. WOMEN ON WELFARE 7 190. OTHER REFERENCES TO WOMEN 60 200. BLACKS 1 210. MIDDLE CLASS BLACKS 220. WORKING CLASS BLACKS 1 290. OTHER REFERENCES TO BLACKS 355 300. ELDERLY 17 310. RETIRED 12 320. PEOPLE ON FIXED INCOMES 1 390. OTHER REFERENCES TO THE ELDERLY 129 400. THE POOR 8 405. LOWER CLASS 136 410. WORKING CLASS PEOPLE; BLUE COLLAR WORKERS (INCL. SPECIFIC MENTION OF "BLUE COLLAR" OCCUPATION) 3 411. FACTORY WORKERS 25 415. LOW(ER) INCOME 5 420. PEOPLE ON WELFARE 57 430. LABOR UNIONISTS 2 440. MANUAL WORKERS IN DANGEROUS OCCUPATIONS, E.G., POLICEMEN, FIREMEN, MINERS, SEAMEN 17 480. UNEMPLOYED 21 485. PEOPLE HURT BY ECONOMIC CONDITIONS; PEOPLE WHO ARE STRUGGLING 11 490. OTHER REFERENCES TO THE POOR, WORKING CLASS PEOPLE 414 500. MIDDLE CLASS (INCLUDING UPPER MIDDLE AND LOWER MIDDLE) 1 502. MIDDLE CLASS WHITES 3 504. MIDDLE CLASS WHITE COLLAR 510. THE SILENT MAJORITY 8 515. AVERAGE PEOPLE, AVERAGE AMERICAN 2 590. OTHER REFERENCES TO MIDDLE CLASS 2 600. THE RICH 1 605. PEOPLE WHO ARE BETTER OFF; PEOPLE AHEAD OF ECONOMY 4 610. SPECULATORS, CAPITALISTS, ENTREPRENEURS 28 620. PROFESSIONALS, E.G., DOCTORS, NURSES, LAWYERS 8 621. YOUNG PROFESSIONALS 14 625. WHITE COLLAR WORKERS 628. PEOPLE IN TECHNICAL OCCUPATIONS 55 630. TEACHERS, RETIRED 9 638. BUSINESS PEOPLE -- NA TYPE 22 640. SMALL BUSINESS, RETAIL BUSINESS, REAL ESTATE 3 650. CIVIL SERVANTS, BUREAUCRATS 2 655. MILITARY, PEOPLE IN THE MILITARY, VETERANS 7 660. ADMINISTRATORS, DIRECTORS, MANAGERS 209 670. FARMERS, RANCHERS 9 690. OTHER REFERENCE TO SPECIFIC OCCUPATION/INDUSTRY 2 695. PEOPLE I WORK WITH 6 696. PEOPLE WHO WORK (HARD) FOR A LIVING 13 700. YOUNG PEOPLE 6 701. CHILDREN, CHILDREN IN NEED 6 704. YOUNG MARRIED COUPLES; YOUNG COUPLES GETTING STARTED 5 706. PEOPLE W/ FAMILIES 23 707. FAMILY 4 708. SINGLE PARENTS 2 710. MIDDLE AGED PEOPLE 4 712. PEOPLE MY AGE 720. THE CLERGY, THE CHURCH 1 721. REF TO SPECIFIC RELIGION 13 723. CHURCH PEOPLE, CHURCH GROUPS 7 725. FRIENDS 8 726. STUDENTS, COLLEGE STUDENTS, RECENT COLLEGE GRADUATE 5 727. EDUCATED PEOPLE, PEOPLE WITH COLLEGE DEGREE 1 728. UNEDUCATED PEOPLE 3 730. POLITICIANS 740. ENTERTAINERS; ATHLETES, MOVIE STARS, MEDIA STARS 13 800. MINORITIES, NOTHING SPECIFIC 5 805. SPECIFIC NATIONALITY, NOT AMERICAN 13 810. HISPANICS 3 811. INDIANS (AMERICAN) 4 820. MENTALLY HANDICAPPED, DISABLED 1 850. IMMIGRANTS, REFUGEES 1 890. OTHER REFERENCES TO MINORITIES 2 895. REFER TO WHERE R LIVES (I.E., URBAN DWELLERS, SUBURBANITES) 2 900. WHITES 16 997. OTHER 6 998. DK 30 999. NA 368 000. INAP, DOESN'T MENTION ANY GROUPS, NO FURTHER MENTION ============================== VAR 840171 NAME-R FEELS ECON CLOSE TO-2 COLUMNS 393 - 395 NUMERIC MD=0 Q.E12B(2). GROUP(S) R FEELS CLOSE TO ------------------------------------------------------ 10 100. WOMEN 105. WORKING WOMEN 2 110. DISADVANTAGED WOMEN; UNMARRIED MOTHERS, SINGLE WOMEN CARING FOR PARENTS 4 112. WOMEN/MOTHERS RAISING CHILDREN ALONE 120. WOMEN ON WELFARE 2 190. OTHER REFERENCES TO WOMEN 19 200. BLACKS 210. MIDDLE CLASS BLACKS 220. WORKING CLASS BLACKS 2 290. OTHER REFERENCES TO BLACKS 90 300. ELDERLY 2 310. RETIRED 3 320. PEOPLE ON FIXED INCOMES 4 390. OTHER REFERENCES TO THE ELDERLY 34 400. THE POOR 8 405. LOWER CLASS 26 410. WORKING CLASS PEOPLE; BLUE COLLAR WORKERS (INCL. SPECIFIC MENTION OF "BLUE COLLAR" OCCUPATION) 7 411. FACTORY WORKERS 9 415. LOW(ER) INCOME 1 420. PEOPLE ON WELFARE 17 430. LABOR UNIONISTS 3 440. MANUAL WORKERS IN DANGEROUS OCCUPATIONS, E.G., POLICEMEN, FIREMEN, MINERS, SEAMEN 11 480. UNEMPLOYED 9 485. PEOPLE HURT BY ECONOMIC CONDITIONS; PEOPLE WHO ARE STRUGGLING 2 490. OTHER REFERENCES TO THE POOR, WORKING CLASS PEOPLE 45 500. MIDDLE CLASS (INCLUDING UPPER MIDDLE AND LOWER MIDDLE) 502. MIDDLE CLASS WHITES 1 504. MIDDLE CLASS WHITE COLLAR 510. THE SILENT MAJORITY 1 515. AVERAGE PEOPLE, AVERAGE AMERICAN 590. OTHER REFERENCES TO MIDDLE CLASS 1 600. THE RICH 1 605. PEOPLE WHO ARE BETTER OFF; PEOPLE AHEAD OF ECONOMY 2 610. SPECULATORS, CAPITALISTS, ENTREPRENEURS 10 620. PROFESSIONALS, E.G., DOCTORS, NURSES, LAWYERS 3 621. YOUNG PROFESSIONALS 3 625. WHITE COLLAR WORKERS 1 628. PEOPLE IN TECHNICAL OCCUPATIONS 26 630. TEACHERS, RETIRED 9 638. BUSINESS PEOPLE -- NA TYPE 10 640. SMALL BUSINESS, RETAIL BUSINESS, REAL ESTATE 3 650. CIVIL SERVANTS, BUREAUCRATS 655. MILITARY, PEOPLE IN THE MILITARY, VETERANS 1 660. ADMINISTRATORS, DIRECTORS, MANAGERS 57 670. FARMERS, RANCHERS 10 690. OTHER REFERENCE TO SPECIFIC OCCUPATION/INDUSTRY 3 695. PEOPLE I WORK WITH 696. PEOPLE WHO WORK (HARD) FOR A LIVING 12 700. YOUNG PEOPLE 13 701. CHILDREN, CHILDREN IN NEED 2 704. YOUNG MARRIED COUPLES; YOUNG COUPLES GETTING STARTED 4 706. PEOPLE W/ FAMILIES 5 707. FAMILY 4 708. SINGLE PARENTS 710. MIDDLE AGED PEOPLE 1 712. PEOPLE MY AGE 1 720. THE CLERGY, THE CHURCH 2 721. REF TO SPECIFIC RELIGION 14 723. CHURCH PEOPLE, CHURCH GROUPS 4 725. FRIENDS 7 726. STUDENTS, COLLEGE STUDENTS, RECENT COLLEGE GRADUATE 4 727. EDUCATED PEOPLE, PEOPLE WITH COLLEGE DEGREE 1 728. UNEDUCATED PEOPLE 730. POLITICIANS 740. ENTERTAINERS; ATHLETES, MOVIE STARS, MEDIA STARS 3 800. MINORITIES, NOTHING SPECIFIC 2 805. SPECIFIC NATIONALITY, NOT AMERICAN 6 810. HISPANICS 2 811. INDIANS (AMERICAN) 21 820. MENTALLY HANDICAPPED, DISABLED 1 850. IMMIGRANTS, REFUGEES 890. OTHER REFERENCES TO MINORITIES 1 895. REFER TO WHERE R LIVES (I.E., URBAN DWELLERS, SUBURBANITES) 4 900. WHITES 11 997. OTHER 1680 000. INAP, DOESN'T MENTION ANY GROUPS, NO FURTHER MENTION ============================== VAR 840172 NAME-R FEELS ECON CLOSE TO-3 COLUMNS 396 - 398 NUMERIC MD=0 Q.E12B(3). GROUP(S) R FEELS CLOSE TO ------------------------------------------------------ 100. WOMEN 105. WORKING WOMEN 1 110. DISADVANTAGED WOMEN; UNMARRIED MOTHERS, SINGLE WOMEN CARING FOR PARENTS 112. WOMEN/MOTHERS RAISING CHILDREN ALONE 1 120. WOMEN ON WELFARE 2 190. OTHER REFERENCES TO WOMEN 4 200. BLACKS 210. MIDDLE CLASS BLACKS 220. WORKING CLASS BLACKS 290. OTHER REFERENCES TO BLACKS 16 300. ELDERLY 2 310. RETIRED 1 320. PEOPLE ON FIXED INCOMES 390. OTHER REFERENCES TO THE ELDERLY 5 400. THE POOR 405. LOWER CLASS 10 410. WORKING CLASS PEOPLE; BLUE COLLAR WORKERS (INCL. SPECIFIC MENTION OF "BLUE COLLAR" OCCUPATION) 411. FACTORY WORKERS 4 415. LOW(ER) INCOME 420. PEOPLE ON WELFARE 5 430. LABOR UNIONISTS 440. MANUAL WORKERS IN DANGEROUS OCCUPATIONS, E.G., POLICEMEN, FIREMEN, MINERS, SEAMEN 7 480. UNEMPLOYED 3 485. PEOPLE HURT BY ECONOMIC CONDITIONS; PEOPLE WHO ARE STRUGGLING 1 490. OTHER REFERENCES TO THE POOR, WORKING CLASS PEOPLE 10 500. MIDDLE CLASS (INCLUDING UPPER MIDDLE AND LOWER MIDDLE) 502. MIDDLE CLASS WHITES 504. MIDDLE CLASS WHITE COLLAR 510. THE SILENT MAJORITY 515. AVERAGE PEOPLE, AVERAGE AMERICAN 590. OTHER REFERENCES TO MIDDLE CLASS 600. THE RICH 605. PEOPLE WHO ARE BETTER OFF; PEOPLE AHEAD OF ECONOMY 1 610. SPECULATORS, CAPITALISTS, ENTREPRENEURS 3 620. PROFESSIONALS, E.G., DOCTORS, NURSES, LAWYERS 621. YOUNG PROFESSIONALS 1 625. WHITE COLLAR WORKERS 628. PEOPLE IN TECHNICAL OCCUPATIONS 4 630. TEACHERS, RETIRED 3 638. BUSINESS PEOPLE -- NA TYPE 640. SMALL BUSINESS, RETAIL BUSINESS, REAL ESTATE 650. CIVIL SERVANTS, BUREAUCRATS 2 655. MILITARY, PEOPLE IN THE MILITARY, VETERANS 660. ADMINISTRATORS, DIRECTORS, MANAGERS 8 670. FARMERS, RANCHERS 2 690. OTHER REFERENCE TO SPECIFIC OCCUPATION/INDUSTRY 695. PEOPLE I WORK WITH 2 696. PEOPLE WHO WORK (HARD) FOR A LIVING 3 700. YOUNG PEOPLE 2 701. CHILDREN, CHILDREN IN NEED 1 704. YOUNG MARRIED COUPLES; YOUNG COUPLES GETTING STARTED 2 706. PEOPLE W/ FAMILIES 1 707. FAMILY 708. SINGLE PARENTS 710. MIDDLE AGED PEOPLE 1 712. PEOPLE MY AGE 720. THE CLERGY, THE CHURCH 721. REF TO SPECIFIC RELIGION 2 723. CHURCH PEOPLE, CHURCH GROUPS 2 725. FRIENDS 2 726. STUDENTS, COLLEGE STUDENTS, RECENT COLLEGE GRADUATE 1 727. EDUCATED PEOPLE, PEOPLE WITH COLLEGE DEGREE 1 728. UNEDUCATED PEOPLE 730. POLITICIANS 1 740. ENTERTAINERS; ATHLETES, MOVIE STARS, MEDIA STARS 2 800. MINORITIES, NOTHING SPECIFIC 1 805. SPECIFIC NATIONALITY, NOT AMERICAN 1 810. HISPANICS 811. INDIANS (AMERICAN) 9 820. MENTALLY HANDICAPPED, DISABLED 2 850. IMMIGRANTS, REFUGEES 1 890. OTHER REFERENCES TO MINORITIES 895. REFER TO WHERE R LIVES (I.E., URBAN DWELLERS, SUBURBANITES) 1 900. WHITES 2 997. OTHER 2121 000. INAP, DOESN'T MENTION ANY GROUPS, NO FURTHER MENTION ============================== VAR 840173 NAME-INTERVIEW CHECKPOINT COLUMNS 399 - 399 NUMERIC MD=0 Q.E13. INTERVIEWER CHECKPOINT: ------------------------------ 577 1. R NAMED MORE THAN ONE GROUP IN Q.E12 1276 5. R NAMED ONLY ONE GROUP IN Q.E12 404 0. INAP, 000, 998, 999 IN 170 ============================== VAR 840174 NAME-ECO GRP R FELS CLSEST TO COLUMNS 400 - 402 NUMERIC MD=0 OR GE 998 Q.E13A. WHEN IT COMES TO ECONOMIC MATTERS, WHAT SORTS OF PEOPLE DO YOU FEEL CLOSEST TO? -------------------------------------------------------- IF R MENTIONED ONE GROUP ONLY IN RESPONSE TO Q.E12, THAT GROUP HAS BEEN REPEATED IN THIS VARIABLE. IF R MENTIONED MORE THAN ONE GROUP THAT HE/SHE FEELS CLOSEST TO, THE FOLLOWING CODING PROCEDURE WAS FOLLOWED: A) IF ONE OF THE BOXES (WOMEN, BLACKS, ELDERLY, SENIOR CITIZENS, THE POOR, OR MIDDLE CLASS) ON THE QUESTIONNAIRE WAS CHECKED, THAT GROUP WAS CODED; B) IF NONE OF THE BOXES WAS CHECKED, THE FIRST GROUP MENTIONED WAS CODED; C) IF TWO OR MORE BOXES WERE CHECKED, THE CODING DECISION WAS MADE BY THE STUDY STAFF. 15 100. WOMEN 2 105. WORKING WOMEN 5 110. DISADVANTAGED WOMEN; UNMARRIED MOTHERS, SINGLE WOMEN CARING FOR PARENTS 2 112. WOMEN/MOTHERS RAISING CHILDREN ALONE 120. WOMEN ON WELFARE 8 190. OTHER REFERENCES TO WOMEN 56 200. BLACKS 1 210. MIDDLE CLASS BLACKS 220. WORKING CLASS BLACKS 1 290. OTHER REFERENCES TO BLACKS 379 300. ELDERLY 11 310. RETIRED 7 320. PEOPLE ON FIXED INCOMES 1 390. OTHER REFERENCES TO THE ELDERLY 118 400. THE POOR 6 405. LOWER CLASS 124 410. WORKING CLASS PEOPLE; BLUE COLLAR WORKERS (INCL. SPECIFIC MENTION OF "BLUE COLLAR" OCCUPATION) 3 411. FACTORY WORKERS 22 415. LOW(ER) INCOME 4 420. PEOPLE ON WELFARE 53 430. LABOR UNIONISTS 3 440. MANUAL WORKERS IN DANGEROUS OCCUPATIONS, E.G., POLICEMEN, FIREMEN, MINERS, SEAMEN 17 480. UNEMPLOYED 18 485. PEOPLE HURT BY ECONOMIC CONDITIONS; PEOPLE WHO ARE STRUGGLING 10 490. OTHER REFERENCES TO THE POOR, WORKING CLASS PEOPLE 432 500. MIDDLE CLASS (INCLUDING UPPER MIDDLE AND LOWER MIDDLE) 1 502. MIDDLE CLASS WHITES 3 504. MIDDLE CLASS WHITE COLLAR 510. THE SILENT MAJORITY 7 515. AVERAGE PEOPLE, AVERAGE AMERICAN 590. OTHER REFERENCES TO MIDDLE CLASS 1 600. THE RICH 2 605. PEOPLE WHO ARE BETTER OFF; PEOPLE AHEAD OF ECONOMY 4 610. SPECULATORS, CAPITALISTS, ENTREPRENEURS 29 620. PROFESSIONALS, E.G., DOCTORS, NURSES, LAWYERS 8 621. YOUNG PROFESSIONALS 15 625. WHITE COLLAR WORKERS 628. PEOPLE IN TECHNICAL OCCUPATIONS 50 630. TEACHERS, RETIRED 11 638. BUSINESS PEOPLE -- NA TYPE 20 640. SMALL BUSINESS, RETAIL BUSINESS, REAL ESTATE 4 650. CIVIL SERVANTS, BUREAUCRATS 2 655. MILITARY, PEOPLE IN THE MILITARY, VETERANS 7 660. ADMINISTRATORS, DIRECTORS, MANAGERS 180 670. FARMERS, RANCHERS 18 690. OTHER REFERENCE TO SPECIFIC OCCUPATION/INDUSTRY 4 695. PEOPLE I WORK WITH 5 696. PEOPLE WHO WORK (HARD) FOR A LIVING 12 700. YOUNG PEOPLE 5 701. CHILDREN, CHILDREN IN NEED 7 704. YOUNG MARRIED COUPLES; YOUNG COUPLES GETTING STARTED 7 706. PEOPLE W/ FAMILIES 20 707. FAMILY 3 708. SINGLE PARENTS 2 710. MIDDLE AGED PEOPLE 4 712. PEOPLE MY AGE 720. THE CLERGY, THE CHURCH 1 721. REF TO SPECIFIC RELIGION 15 723. CHURCH PEOPLE, CHURCH GROUPS 7 725. FRIENDS 11 726. STUDENTS, COLLEGE STUDENTS, RECENT COLLEGE GRADUATE 5 727. EDUCATED PEOPLE, PEOPLE WITH COLLEGE DEGREE 2 728. UNEDUCATED PEOPLE 3 730. POLITICIANS 740. ENTERTAINERS; ATHLETES, MOVIE STARS, MEDIA STARS 10 800. MINORITIES, NOTHING SPECIFIC 4 805. SPECIFIC NATIONALITY, NOT AMERICAN 12 810. HISPANICS 1 811. INDIANS (AMERICAN) 12 820. MENTALLY HANDICAPPED, DISABLED 1 850. IMMIGRANTS, REFUGEES 3 890. OTHER REFERENCES TO MINORITIES 2 895. REFER TO WHERE R LIVES (I.E., URBAN DWELLERS, SUBURBANITES) 2 900. WHITES 8 996. ALL GROUPS MENTIONED EQUALLY IMPORTANT 23 997. OTHER 998. DK 2 999. NA 404 000. INAP, 000, 998, 999 IN 170 ============================== VAR 840175 NAME-PST YR-ECON GRP COND COLUMNS 403 - 403 NUMERIC MD=0 OR GE 8 Q.E14. WOULD YOU SAY THAT OVER THE PAST YEAR THE ECONOMIC POSITION OF GROUP FROM Q.E13A HAS GOTTEN BETTER, STAYED ABOUT THE SAME, OR GOTTEN WORSE? --------------------------------------------------------- 371 1. GOTTEN BETTER 626 3. STAYED THE SAME 802 5. GOTTEN WORSE 38 8. DK 8 9. NA 412 0. INAP, 000, 998, 999 IN 170; 996, 998-999 IN 174 ============================== VAR 840176 NAME-HWMCH DID GRP COND CHNG COLUMNS 404 - 404 NUMERIC MD=0 OR GE 8 Q.E14A. WOULD YOU SAY MUCH BETTER OR SOMEWHAT BETTER? Q.E14B. WOULD YOU SAY MUCH WORSE OR SOMEWHAT WORSE? ----------------------------------------------------- 57 1. MUCH BETTER 315 2. SOMEWHAT BETTER 626 3. STAYED THE SAME,CODED 3 IN 175 474 4. SOMEWHAT WORSE 315 5. MUCH WORSE 2 8. DK 10 9. NA 458 0. INAP, 000, 998-999 IN 170; 996, 998-999 IN 174, 8-9 IN 175 ============================== VAR 840177 NAME-WHY DID ECON COND CHG-1 COLUMNS 405 - 407 NUMERIC MD=0 OR GE 998 Q.E14C/E(1A). WHY DO YOU THINK THIS HAPPENED? Q.E14D(1A). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? --------------------------------------------------------- SEE APPENDIX NOTE 101. . . 997. 998. DK 999. NA 000. INAP, 000, 998-999 IN 170; 996, 998-999 IN 174; 8-9 IN 175; NO FURTHER MENTION ============================== VAR 840178 NAME-ECON COND-TYPE OF CHG-1 COLUMNS 408 - 408 NUMERIC MD=0 Q.E14C/E(1B). WHY DO YOU THINK THIS HAPPENED? Q.E14D(1B). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? --------------------------------------------------------- SEE APPENDIX NOTE 347 1. INCREASING; HIGHER 217 3. STABLE; SAME; NO CHANGE 389 5. DECREASING; LOWER 715 9. NOT APPLICABLE/TYPE OF CHANGE NOT SPECIFIED 589 0. INAP, 000, 998-999 IN 170; 996, 998-999 IN 174; 8-9 IN 175; 998-999 IN 177; NO FURTHER MENTION ============================== VAR 840179 NAME-ECON COND-ACTOR-1 COLUMNS 409 - 409 NUMERIC MD=0 Q.E14C/E(1C). WHY DO YOU THINK THIS HAPPENED? Q.E14D(1C). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? --------------------------------------------------------- SEE APPENDIX NOTE 117 1. PRESIDENT/ADMINISTRATION/REAGAN 2. CONGRESS 51 3. GOVERNMENT/POLITICIANS 6 4. POLITICAL PARTIES; DEMOCRATS/REPUBLICANS 10 7. OTHER ACTOR 1484 9. NA; ACTOR NOT SPECIFIED; "THEY" 589 0. INAP, 000, 998-999 IN 170; 996, 998-999 IN 174; 8-9 IN 175; 998-999 IN 177; NO FURTHER MENTION ============================== VAR 840180 NAME-WHY DID ECON COND CHG-2 COLUMNS 410 - 412 NUMERIC MD=0 Q.E14C/E(2A). WHY DO YOU THINK THIS HAPPENED? Q.E14D(2A). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? --------------------------------------------------------- SEE APPENDIX NOTE 101. . . 997. 000. INAP, 000, 998-999 IN 170 OR 174; 8-9 IN 175; 998-999 IN 177; NO FURTHER MENTION ============================== VAR 840181 NAME-ECON COND-TYPE OF CHG-2 COLUMNS 413 - 413 NUMERIC MD=0 Q.E14C/E(2B). WHY DO YOU THINK THIS HAPPENED? Q.E14D(2B). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? --------------------------------------------------------- SEE APPENDIX NOTE 250 1. INCREASING; HIGHER 81 3. STABLE; SAME; NO CHANGE 194 5. DECREASING; LOWER 363 9. NOT APPLICABLE/TYPE OF CHANGE NOT SPECIFIED 1369 0. INAP, 000, 998-999 IN 170 OR 174; 8-9 IN 175; 998-999 IN 177; NO FURTHER MENTION ============================== VAR 840182 NAME-ECON COND-ACTOR 2 COLUMNS 414 - 414 NUMERIC MD=0 Q.E14C/E(2C). WHY DO YOU THINK THIS HAPPENED? Q.E14D(2C). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? --------------------------------------------------------- SEE APPENDIX NOTE 43 1. PRESIDENT/ADMINISTRATION/REAGAN 1 2. CONGRESS 16 3. GOVERNMENT/POLITICIANS 1 4. POLITICAL PARTIES; DEMOCRATS/REPUBLICANS 4 7. OTHER ACTOR 823 9. NA; ACTOR NOT SPECIFIED; "THEY" 1369 0. INAP, 000, 998-999 IN 170 OR 174; 8-9 IN 175; 998-999 IN 177; NO FURTHER MENTION ============================== VAR 840183 NAME-WHY DID ECON COND CHG-3 COLUMNS 415 - 417 NUMERIC MD=0 Q.E14C/E(3A). WHY DO YOU THINK THIS HAPPENED? Q.E14D(3A). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? --------------------------------------------------------- SEE APPENDIX NOTE 101. . . 997. 000. INAP, 000, 998-999 IN 170 OR 174; 8-9 IN 175; 998-999 IN 177; NO FURTHER MENTION ============================== VAR 840184 NAME-ECON COND-TYPE OF CHG-3 COLUMNS 418 - 418 NUMERIC MD=0 Q.E14C/E(3B). WHY DO YOU THINK THIS HAPPENED? Q.E14D(3B). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? --------------------------------------------------------- SEE APPENDIX NOTE 127 1. INCREASING; HIGHER 35 3. STABLE; SAME; NO CHANGE 75 5. DECREASING; LOWER 145 9. NOT APPLICABLE/TYPE OF CHANGE NOT SPECIFIED 1875 0. INAP, 000, 998-999 IN 170 OR 174; 8-9 IN 175; 998-999 IN 177; NO FURTHER MENTION ============================== VAR 840185 NAME-ECON COND-ACTOR 3 COLUMNS 419 - 419 NUMERIC MD=0 Q.E14C/E(3C). WHY DO YOU THINK THIS HAPPENED? Q.E14D(3C). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? --------------------------------------------------------- SEE APPENDIX NOTE 15 1. PRESIDENT/ADMINISTRATION/REAGAN 2. CONGRESS 5 3. GOVERNMENT/POLITICIANS 4. POLITICAL PARTIES; DEMOCRATS/REPUBLICANS 1 7. OTHER ACTOR 361 9. NA; ACTOR NOT SPECIFIED; "THEY" 1875 0. INAP, 000, 998-999 IN 170 OR 174; 8-9 IN 175; 998-999 IN 177; NO FURTHER MENTION ============================== VAR 840186 NAME-ECON COND-CAUSAL LINKS COLUMNS 420 - 420 NUMERIC MD=0 Q.E14C/E(4). WHY DO YOU THINK THIS HAPPENED? Q.E14D(4). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 132 1. 1ST AND 2ND MENTIONS CAUSALLY RELATED 5 2. 1ST AND 3RD MENTIONS CAUSALLY RELATED 34 3. 2ND AND 3RD MENTIONS CAUSALLY RELATED 72 4. 1ST, 2ND AND 3RD MENTIONS CAUSALLY RELATED 645 9. NO CAUSAL RELATION AMONG MENTIONS 1369 0. INAP, 000, 998-999 IN 170; 996, 998-999 IN 174; 8-9 IN 175; 998-999 IN 177; NO FURTHER MENTION ============================== VAR 840187 NAME-GRP INCOM/COST-LVING COLUMNS 421 - 421 NUMERIC MD=0 OR GE 8 Q.E15. WOULD YOU SAY THAT OVER THE PAST YEAR THE INCOMES OF GROUP FROM Q.E13A HAVE GONE UP MORE THAN THE COST OF LIVING, STAYED ABOUT EVEN, OR FALLEN BEHIND THE COST OF LIVING? ------------------------------------------------------------ 196 1. GONE UP MORE 681 3. STAYED ABOUT EVEN 874 5. FALLEN BEHIND 82 8. DK 10 9. NA 414 0. INAP, 000,998,999 IN 170; 996,998-999 IN 174 ============================== VAR 840188 NAME-HWMCH GRP COST-LVING CHG COLUMNS 422 - 422 NUMERIC MD=0 OR GE 8 Q.E15A. HAVE THEY GONE UP A LOT OR A LITTLE? Q.E15B. HAVE THEY FALLEN BEHIND A LOT OR A LITTLE? -------------------------------------------------- 34 1. A LOT UP 162 2. A LITTLE UP 681 3. STAYED ABOUT EVEN; CODED 3 IN 187 452 4. A LITTLE BEHIND 413 5. A LOT BEHIND 5 8. DK 4 9. NA 506 0. INAP, 000,998,999 IN 170; 996,998-999 IN 174; 8-9 IN 187 ============================== VAR 840189 NAME-ECON POL HELPED GRP COLUMNS 423 - 423 NUMERIC MD=0 OR GE 8 Q.E16. WOULD YOU SAY THAT THE ECONOMIC POLICIES OF THE FEDERAL GOVERNMENT HAVE MADE GROUP FROM Q.E13A BETTER OFF, WORSE OFF, OR HAVEN'T THEY MADE MUCH DIFFERENCE? ---------------------------------------------------------- 322 1. BETTER 734 3. HAVEN'T MADE MUCH DIFFERENCE 675 5. WORSE 96 8. DK 16 9. NA 414 0. INAP, 000,998,999 IN 170; 996, 998-999 IN 174 ============================== VAR 840190 NAME-HWMCH ECN POL HELPED GRP COLUMNS 424 - 424 NUMERIC MD=0 OR GE 8 Q.E16A. IS THAT MUCH BETTER OFF OR SOMEWHAT BETTER OFF? Q.E16B. IS THAT MUCH WORSE OFF OR SOMEWHAT WORSE OFF? ------------------------------------------------------- 34 1. MUCH BETTER 288 2. SOMEWHAT BETTER 734 3. HAVEN'T MADE MUCH DIFFERENCE; CODED 3 IN 189 418 4. SOMEWHAT WORSE 256 5. MUCH WORSE 1 8. DK 9. NA 526 0. INAP, 000, 998, 999 IN 170; 996, 998-999 IN 174; 8-9 IN 189 ============================== VAR 840191 NAME-PST YR-GRP JOB SEARCH COLUMNS 425 - 425 NUMERIC MD=0 OR GE 8 Q.E16C. WOULD YOU SAY THAT OVER THE PAST YEAR GROUP FROM Q.E13A HAVE HAD A HARDER TIME FINDING WORK, AN EASIER TIME, OR HAVE THINGS STAYED ABOUT THE SAME? ----------------------------------------------------------- 865 1. HARDER TIME 575 3. ABOUT THE SAME 279 5. EASIER TIME 103 8. DK 21 9. NA 414 0. INAP, 000, 998, 999 IN 170; 996, 998-999 IN 174 ============================== VAR 840192 NAME-HOW DIFFICULT JOB SEARCH COLUMNS 426 - 426 NUMERIC MD=0 OR GE 8 Q.E16D. HAVE THEY HAD A MUCH HARDER TIME OR A LITTLE HARDER TIME? Q.E16E. HAVE THEY HAD A MUCH EASIER TIME OR A LITTLE EASIER TIME? ----------------------------------------------------------- 561 1. MUCH HARDER 296 2. A LITTLE HARDER 575 3. ABOUT THE SAME; CODED 3 IN 191 216 4. A LITTLE EASIER 63 5. MUCH EASIER 7 8. DK 1 9. NA 538 0. INAP, 000,998,999 IN 170; 996,998-999 IN 174; 8-9 IN 191 ============================== VAR 840193 NAME-INTERVIEWER CHECKPOINT COLUMNS 427 - 427 NUMERIC MD=GE 9 Q.E17. INTERVIEWER CHECKPOINT ----------------------------- 1000 1. IN Q.E13A ONE OF THE CHECK BOXES (WOMEN, BLACKS, ELDERLY/ SENIOR CITIZENS, THE POOR, MIDDLE CLASS) IS "XED" 1256 5. IN Q.E13A NONE OF THE CHECK BOXES (WOMEN, BLACKS, ELDERLY/ SENIOR CITIZENS, THE POOR, MIDDLE CLASS) HAS BEEN "XED" 1 9. NA, PARTIAL INT. ============================== VAR 840194 NAME-WOMEN MENTION-Y/N COLUMNS 428 - 428 NUMERIC MD=0 OR GE 9 Q.E17A. WOMEN ------------- 15 1. MENTIONED 984 5. NOT MENTIONED 1 9. NA 1257 0. INAP, 5, 9 IN 193 ============================== VAR 840195 NAME-BLACKS MENTION-Y/N COLUMNS 429 - 429 NUMERIC MD=0 OR GE 9 Q.E17B. BLACKS -------------- 56 1. MENTIONED 943 5. NOT MENTIONED 1 9. NA 1257 0. INAP, 5, 9 IN 193 ============================== VAR 840196 NAME-ELDERLY MENTION-Y/N COLUMNS 430 - 430 NUMERIC MD=0 OR GE 9 Q.E17C. THE ELDERLY (SENIOR CITIZENS) ------------------------------------- 379 1. MENTIONED 621 5. NOT MENTIONED 9. NA 1257 0. INAP, 5, 9 IN 193 ============================== VAR 840197 NAME-POOR MENTION-Y/N COLUMNS 431 - 431 NUMERIC MD=0 OR GE 9 Q.E17D. THE POOR ---------------- 118 1. MENTIONED 880 5. NOT MENTIONED 2 9. NA 1257 0. INAP, 5, 9 IN 193 ============================== VAR 840198 NAME-MIDDLE CLASS-Y/N COLUMNS 432 - 432 NUMERIC MD=0 OR GE 9 Q.E17E. THE MIDDLE CLASS (INCLUDING UPPER/LOWER MIDDLE) ------------------------------------------------------- 432 1. MENTIONED 566 5. NOT MENTIONED 2 9. NA 1257 0. INAP, 5, 9 IN 193 ============================== VAR 840199 NAME-ECON POSITION-WOMEN COLUMNS 433 - 433 NUMERIC MD=0 OR GE 8 Q.E18. WHAT ABOUT WOMEN? WOULD YOU SAY THAT THE ECONOMIC POSITION OF WOMEN HAS GOTTEN BETTER, STAYED ABOUT THE SAME, OR GOTTEN WORSE? ----------------------------------------------------------- 1043 1. BETTER 857 3. SAME 189 5. WORSE 139 8. DK 14 9. NA 15 0. INAP, 1 IN 194 ============================== VAR 840200 NAME-ECON POSITION-BLACKS COLUMNS 434 - 434 NUMERIC MD=0 OR GE 8 Q.E19. WHAT ABOUT BLACKS? WOULD YOU SAY THAT OVER THE PAST YEAR THE ECONOMIC POSITION OF BLACKS HAS GOTTEN BETTER, STAYED ABOUT THE SAME, OR GOTTEN WORSE? ---------------------------------------------------------- 723 1. BETTER 823 3. SAME 375 5. WORSE 266 8. DK 14 9. NA 56 0. INAP, 1 IN 195 ============================== VAR 840201 NAME-ECON POSITION-ELDERLY COLUMNS 435 - 435 NUMERIC MD=0 OR GE 8 Q.E20. (AND WHAT ABOUT) THE ELDERLY? ------------------------------------ 207 1. BETTER 684 3. SAME 863 5. WORSE 113 8. DK 11 9. NA 379 0. INAP, 1 IN 196 ============================== VAR 840202 NAME-ECON POSITION-POOR COLUMNS 436 - 436 NUMERIC MD=0 OR GE 8 Q.E21. (AND WHAT ABOUT) THE POOR? --------------------------------- 211 1. BETTER 758 3. SAME 1003 5. WORSE 148 8. DK 19 9. NA 118 0. INAP, 1 IN 197 ============================== VAR 840203 NAME-ECON POSITION-MID CLASS COLUMNS 437 - 437 NUMERIC MD=0 OR GE 8 Q.E22. (AND WHAT ABOUT) THE MIDDLE CLASS? ----------------------------------------- 367 1. BETTER 926 3. SAME 419 5. WORSE 102 8. DK 11 9. NA 432 0. INAP, 1 IN 198 ============================== VAR 840204 NAME-EQ OPPOR NEED IN SOC-A/D COLUMNS 438 - 438 NUMERIC MD=GE 8 Q.F1. (R.B., P.4) I AM GOING TO READ SEVERAL STATEMENTS. AFTER EACH ONE, I WOULD LIKE YOU TO TELL ME WHETHER YOU AGREE STRONGLY WITH THE STATEMENT, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT OR DISAGREE STRONGLY. YOU CAN JUST GIVE ME THE NUMBER OF YOUR CHOICE FROM THE BOOKLET. THE FIRST STATEMENT IS: Q.F1A. OUR SOCIETY SHOULD DO WHATEVER IS NECESSARY TO MAKE SURE THAT EVERYONE HAS AN EQUAL OPPORTUNITY TO SUCCEED. ----------------------------------------------------------- 1475 1. AGREE STRONGLY 541 2. AGREE SOMEWHAT 74 3. NEITHER AGREE NOR DISAGREE 105 4. DISAGREE SOMEWHAT 35 5. DISAGREE STRONGLY 20 8. DK 7 9. NA ============================== VAR 840205 NAME-BLAME SYSTEM-A/D COLUMNS 439 - 439 NUMERIC MD=GE 8 Q.F1B. MOST PEOPLE WHO DON'T GET AHEAD SHOULD NOT BLAME THE SYSTEM; THEY HAVE ONLY THEMSELVES TO BLAME. ----------------------------------------------------------- 500 1. AGREE STRONGLY 836 2. AGREE SOMEWHAT 254 3. NEITHER AGREE NOR DISAGREE 462 4. DISAGREE SOMEWHAT 173 5. DISAGREE STRONGLY 22 8. DK 10 9. NA ============================== VAR 840206 NAME-EQUAL RTS TOO FAR-A/D COLUMNS 440 - 440 NUMERIC MD=GE 8 Q.F1C. WE HAVE GONE TOO FAR IN PUSHING EQUAL RIGHTS IN THIS COUNTRY. ----------------------------------------------------------- 406 1. AGREE STRONGLY 585 2. AGREE SOMEWHAT 267 3. NEITHER AGREE NOR DISAGREE 471 4. DISAGREE SOMEWHAT 484 5. DISAGREE STRONGLY 31 8. DK 13 9. NA ============================== VAR 840207 NAME-WORK NO GUAR SUCESS-A/D COLUMNS 441 - 441 NUMERIC MD=GE 8 Q.F1D. HARD WORK OFFERS LITTLE GUARANTEE OF SUCCESS. ---------------------------------------------------- 304 1. AGREE STRONGLY 486 2. AGREE SOMEWHAT 194 3. NEITHER AGREE NOR DISAGREE 640 4. DISAGREE SOMEWHAT 583 5. DISAGREE STRONGLY 34 8. DK 16 9. NA ============================== VAR 840208 NAME-CNTRY GVE NO EQ CHNC-A/D COLUMNS 442 - 442 NUMERIC MD=GE 8 Q.F1E. ONE OF THE BIG PROBLEMS IN THIS COUNTRY IS THAT WE DON'T GIVE EVERYONE AN EQUAL CHANCE. --------------------------------------------------------- 474 1. AGREE STRONGLY 600 2. AGREE SOMEWHAT 215 3. NEITHER AGREE NOR DISAGREE 563 4. DISAGREE SOMEWHAT 363 5. DISAGREE STRONGLY 24 8. DK 18 9. NA ============================== VAR 840209 NAME-HARD WRK GUAR SUCESS-A/D COLUMNS 443 - 443 NUMERIC MD=GE 8 Q.F1F. IF PEOPLE WORK HARD THEY ALMOST ALWAYS GET WHAT THEY WANT. ----------------------------------------------------------- 423 1. AGREE STRONGLY 738 2. AGREE SOMEWHAT 207 3. NEITHER AGREE NOR DISAGREE 629 4. DISAGREE SOMEWHAT 240 5. DISAGREE STRONGLY 9 8. DK 11 9. NA ============================== VAR 840210 NAME-MEN BETTER F IMP POS-A/D COLUMNS 444 - 444 NUMERIC MD=GE 8 Q.F1G. MEN ARE JUST BETTER CUT OUT THAN WOMEN FOR IMPORTANT POSITIONS IN SOCIETY. ----------------------------------------------------------- 163 1. AGREE STRONGLY 256 2. AGREE SOMEWHAT 230 3. NEITHER AGREE NOR DISAGREE 525 4. DISAGREE SOMEWHAT 1056 5. DISAGREE STRONGLY 17 8. DK 10 9. NA ============================== VAR 840211 NAME-WHO R WANT WIN DEM PRMY COLUMNS 445 - 446 NUMERIC MD=GE 96 Q.F2. (R.B., P.4) HERE IS A LIST OF CANDIDATES WHO RAN FOR THE DEMOCRATIC NOMINATION FOR PRESIDENT THIS YEAR. WHO, OF THIS GROUP, DID YOU WANT MOST TO SEE WIN THE DEMOCRATIC NOMINATION? ----------------------------------------------------------- 18 01. REUBEN ASKEW 40 02. ALAN CRANSTON 214 03. JOHN GLENN 810 04. GARY HART 15 05. ERNEST HOLLINGS 171 06. JESSE JACKSON 67 07. GEORGE MCGOVERN 580 08. WALTER MONDALE 114 96. R VOLUNTEERS: DIDN'T LIKE ANY DEMOCRATIC CANDIDATE 5 97. OTHER (INCLUDES MULTIPLE MENTIONS) 210 98. DON'T KNOW, OR R VOLUNTEERS: DIDN'T CARE 13 99. NA ============================== VAR 840212 NAME-REAGAN-ANGRY COLUMNS 447 - 447 NUMERIC MD=GE 9 Q.F3. 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. THINK ABOUT RONALD REAGAN. NOW, HAS REAGAN--BECAUSE OF THE KIND OF PERSON HE IS, OR BECAUSE OF SOMETHING HE HAS DONE--EVER MADE YOU FEEL: Q.F3A. ANGRY ------------------------------------------------------------ 1071 1. YES; HAVE FELT 1173 5. NO; NEVER FELT 13 9. NA; DK ============================== VAR 840213 NAME-REAGAN-HOPEFUL COLUMNS 448 - 448 NUMERIC MD=GE 9 Q.F3B. HOPEFUL ------------------------ 1349 1. YES; HAVE FELT 890 5. NO; NEVER FELT 18 9. NA; DK ============================== VAR 840214 NAME-REAGAN-AFRAID COLUMNS 449 - 449 NUMERIC MD=GE 9 Q.F3C. AFRAID OF HIM ------------------------------ 540 1. YES; HAVE FELT 1705 5. NO; NEVER FELT 12 9. NA; DK ============================== VAR 840215 NAME-REAGAN-PROUD COLUMNS 450 - 450 NUMERIC MD=GE 9 Q.F3D. PROUD ---------------------- 1239 1. YES; HAVE FELT 997 5. NO; NEVER FELT 21 9. NA; DK ============================== VAR 840216 NAME-REAGAN-DISGUSTED COLUMNS 451 - 451 NUMERIC MD=GE 9 Q.F3E. DISGUSTED -------------------------- 1025 1. YES; HAVE FELT 1213 5. NO; NEVER FELT 19 9. NA; DK ============================== VAR 840217 NAME-REAGAN-SYMPATHETIC COLUMNS 452 - 452 NUMERIC MD=GE 9 Q.F3F. SYMPATHETIC TOWARD HIM --------------------------------------- 1052 1. YES; HAVE FELT 1178 5. NO; NEVER FELT 27 9. NA; DK ============================== VAR 840218 NAME-REAGAN-UNEASY COLUMNS 453 - 453 NUMERIC MD=GE 9 Q.F3G. UNEASY ----------------------- 1022 1. YES; HAVE FELT 1221 5. NO; NEVER FELT 14 9. NA; DK ============================== VAR 840219 NAME-MONDALE-ANGRY COLUMNS 454 - 454 NUMERIC MD=GE 9 Q.F4. THINK ABOUT WALTER MONDALE. NOW, HAS MONDALE(--BECAUSE OF THE KIND OF PERSON HE IS, OR BECAUSE OF SOMETHING HE HAS DONE--)EVER MADE YOU FEEL: Q.F4A. ANGRY ------------------------------------------------------------ 662 1. YES; HAVE FELT 1562 5. NO; NEVER FELT 33 9. NA; DK ============================== VAR 840220 NAME-MONDALE-HOPEFUL COLUMNS 455 - 455 NUMERIC MD=GE 9 Q.F4B. HOPEFUL ------------------------- 912 1. YES; HAVE FELT 1314 5. NO; NEVER FELT 31 9. NA; DK ============================== VAR 840221 NAME-MONDALE-AFRAID COLUMNS 456 - 456 NUMERIC MD=GE 9 Q.F4C. AFRAID OF HIM ------------------------------- 386 1. YES; HAVE FELT 1843 5. NO; NEVER FELT 28 9. NA; DK ============================== VAR 840222 NAME-MONDALE-PROUD COLUMNS 457 - 457 NUMERIC MD=GE 9 Q.F4D. PROUD ------------------------ 673 1. YES; HAVE FELT 1546 5. NO; NEVER FELT 38 9. NA; DK ============================== VAR 840223 NAME-MONDALE-DISGUSTED COLUMNS 458 - 458 NUMERIC MD=GE 9 Q.F4E. DISGUSTED --------------------------- 672 1. YES; HAVE FELT 1554 5. NO; NEVER FELT 31 9. NA; DK ============================== VAR 840224 NAME-MONDALE-SYMPATHETIC COLUMNS 459 - 459 NUMERIC MD=GE 9 Q.F4F. SYMPATHETIC TOWARD HIM ----------------------------------------- 788 1. YES; HAVE FELT 1429 5. NO; NEVER FELT 40 9. NA; DK ============================== VAR 840225 NAME-MONDALE-UNEASY COLUMNS 460 - 460 NUMERIC MD=GE 9 Q.F4G. UNEASY ------------------------- 771 1. YES; HAVE FELT 1454 5. NO; NEVER FELT 32 9. NA; DK ============================== VAR 840226 NAME-WHAT R THINKS OF CNTRY COLUMNS 461 - 461 NUMERIC MD=GE 8 Q.G1. LET'S TALK ABOUT THE COUNTRY AS A WHOLE. IN GENERAL, WOULD YOU SAY THAT THINGS IN THE COUNTRY ARE GENERALLY GOING VERY WELL, FAIRLY WELL, NOT TOO WELL, OR NOT WELL AT ALL? ------------------------------------------------------------ 153 1. VERY WELL 1377 2. FAIRLY WELL 473 4. NOT TOO WELL 206 5. NOT WELL AT ALL 41 8. DON'T KNOW 7 9. NA ============================== VAR 840227 NAME-ECONOMIC COND-OVER PST Y COLUMNS 462 - 462 NUMERIC MD=GE 8 Q.G2. HOW ABOUT THE ECONOMY. WOULD YOU SAY THAT OVER THE PAST YEAR THE NATION'S ECONOMY HAS GOTTEN BETTER, STAYED THE SAME OR GOTTEN WORSE? ------------------------------------------------------------ 922 1. GOTTEN BETTER 722 3. STAYED SAME 512 5. GOTTEN WORSE 92 8. DK 9 9. NA ============================== VAR 840228 NAME-HOW MUCH BETTER/WORSE EC COLUMNS 463 - 463 NUMERIC MD=0 OR GE 8 Q.G2A. WOULD YOU SAY MUCH BETTER OR SOMEWHAT BETTER? Q.G2B. WOULD YOU SAY MUCH WORSE OR SOMEWHAT WORSE? ---------------------------------------------------- 165 1. MUCH BETTER 753 2. SOMEWHAT BETTER 722 3. STAYED THE SAME; CODED 3 IN 227 331 4. SOMEWHAT WORSE 180 5. MUCH WORSE 1 8. DK 4 9. NA 101 0. INAP, 8-9 IN 227 ============================== VAR 840229 NAME-WHY ECON HAS CHNGED-1 COLUMNS 464 - 466 NUMERIC MD=0 OR GE 998 Q.G2C/E(1A). WHY DO YOU THINK THIS HAPPENED? Q.G2D(1A). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 101. . . 997. 998. DK 999. NA 000. INAP, 8-9 IN 227; NO FURTHER MENTION ============================== VAR 840230 NAME-NAT ECON-TYPE OF CHG-1 COLUMNS 467 - 467 NUMERIC MD=0 Q.G2C/E(1B). WHY DO YOU THINK THIS HAPPENED? Q.G2D(1B). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? --------------------------------------------------------- SEE APPENDIX NOTE 455 1. INCREASING; HIGHER 250 3. STABLE; SAME; NO CHANGE 364 5. DECREASING; LOWER 817 9. NOT APPLICABLE/TYPE OF CHANGE NOT SPECIFIED 371 0. INAP, 8-9 IN 227; 998-999 IN 229; NO FURTHER MENTION ============================== VAR 840231 NAME-NAT ECON CHG-ACTOR-1 COLUMNS 468 - 468 NUMERIC MD=0 Q.G2C/E(1C). WHY DO YOU THINK THIS HAPPENED? Q.G2D(1C). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 306 1. PRESIDENT/ADMINISTRATION/REAGAN 7 2. CONGRESS 33 3. GOVERNMENT/POLITICIANS 7 4. POLITICAL PARTIES; DEMOCRATS/REPUBLICANS 9 7. OTHER ACTOR 1524 9. NA; ACTOR NOT SPECIFIED; "THEY" 371 0. INAP, 8-9 IN 227; 998-999 IN 229; NO FURTHER MENTION ============================== VAR 840232 NAME-WHY ECON HAS CHNGED-2 COLUMNS 469 - 471 NUMERIC MD=0 Q.G2C/E(2A). WHY DO YOU THINK THIS HAPPENED? Q.G2D(2A). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 101. . . 997. 000. INAP, 8-9 IN 227; 998-999 IN 229; NO FURTHER MENTION ============================== VAR 840233 NAME-NAT ECON-TYPE OF CHG-2 COLUMNS 472 - 472 NUMERIC MD=0 Q.G2C/E(2B). WHY DO YOU THINK THIS HAPPENED? Q.G2D(2B). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? --------------------------------------------------------- SEE APPENDIX NOTE 330 1. INCREASING; HIGHER 116 3. STABLE; SAME; NO CHANGE 281 5. DECREASING; LOWER 420 9. NOT APPLICABLE/TYPE OF CHANGE NOT SPECIFIED 1110 0. INAP, 8-9 IN 227; 998-999 IN 229; NO FURTHER MENTION ============================== VAR 840234 NAME-NAT ECON CHG-ACTOR-2 COLUMNS 473 - 473 NUMERIC MD=0 Q.G2C/E(2C). WHY DO YOU THINK THIS HAPPENED? Q.G2D(2C). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 121 1. PRESIDENT/ADMINISTRATION/REAGAN 2 2. CONGRESS 21 3. GOVERNMENT/POLITICIANS 5 4. POLITICAL PARTIES; DEMOCRATS/REPUBLICANS 8 7. OTHER ACTOR 990 9. NA; ACTOR NOT SPECIFIED; "THEY" 1110 0. INAP, 8-9 IN 227; 998-999 IN 229; NO FURTHER MENTION ============================== VAR 840235 NAME-WHY ECON HAS CHNGED-3 COLUMNS 474 - 476 NUMERIC MD=0 Q.G2C/E(3A). WHY DO YOU THINK THIS HAPPENED? Q.G2D(3A). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 101. . . 997. 000. INAP, 8-9 IN 227; 998-999 IN 229; NO FURTHER MENTION ============================== VAR 840236 NAME-NAT ECON-TYPE OF CHG-3 COLUMNS 477 - 477 NUMERIC MD=0 Q.G2C/E(3B). WHY DO YOU THINK THIS HAPPENED? Q.G2D(3B). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 224 1. INCREASING; HIGHER 52 3. STABLE; SAME; NO CHANGE 124 5. DECREASING; LOWER 240 9. NOT APPLICABLE/TYPE OF CHANGE NOT SPECIFIED 1617 0. INAP, 8-9 IN 227; 998-999 IN 229; NO FURTHER MENTION ============================== VAR 840237 NAME-NAT ECON CHG-ACTOR-3 COLUMNS 478 - 478 NUMERIC MD=0 Q.G2C/E(3C). WHY DO YOU THINK THIS HAPPENED? Q.G2D(3C). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? -------------------------------------------------------- SEE APPENDIX NOTE 58 1. PRESIDENT/ADMINISTRATION/REAGAN 2. CONGRESS 9 3. GOVERNMENT/POLITICIANS 4. POLITICAL PARTIES; DEMOCRATS/REPUBLICANS 2 7. OTHER ACTOR 571 9. NA; ACTOR NOT SPECIFIED; "THEY" 1617 0. INAP, 8-9 IN 227; 998-999 IN 229; NO FURTHER MENTION ============================== VAR 840238 NAME-NAT ECON CHG CAUSAL LNK COLUMNS 479 - 479 NUMERIC MD=0 Q.G2C/E(4). WHY DO YOU THINK THIS HAPPENED? Q.G2D(4). WHY DO YOU THINK THINGS HAVE STAYED THE SAME? ------------------------------------------------------- SEE APPENDIX NOTE 146 1. 1ST AND 2ND MENTIONS CAUSALLY RELATED 7 2. 1ST AND 3RD MENTIONS CAUSALLY RELATED 45 3. 2ND AND 3RD MENTIONS CAUSALLY RELATED 120 4. 1ST, 2ND AND 3RD MENTIONS CAUSALLY RELATED 829 9. NO CAUSAL RELATION AMONG MENTIONS 1110 0. INAP, 8-9 IN 227; 998-999 IN 229; NO FURTHER MENTION ============================== VAR 840239 NAME-PST YR-JOB SEARCH DIFF COLUMNS 480 - 480 NUMERIC MD=GE 8 Q.G3. WOULD YOU SAY THAT OVER THE PAST YEAR, PEOPLE ACROSS THE COUNTRY HAVE HAD A HARDER TIME FINDING ENOUGH WORK, AN EASIER TIME, OR HAVE THINGS STAYED ABOUT THE SAME? ----------------------------------------------------------- 952 1. HARD TIME 628 3. STAYED SAME 602 5. EASIER TIME 68 8. DK 7 9. NA ============================== VAR 840240 NAME-HOW DIFF JOB SEARCH COLUMNS 481 - 481 NUMERIC MD=0 OR GE 8 Q.G3A. WOULD YOU SAY MUCH HARDER OR A LITTLE HARDER? Q.G3B. WOULD YOU SAY MUCH EASIER OR A LITTLE EASIER? ---------------------------------------------------- 561 1. MUCH HARDER 390 2. A LITTLE HARDER 628 3. STAYED SAME; CODED 3 IN 239 502 4. A LITTLE EASIER 99 5. MUCH EASIER 2 8. DK 9. NA 75 0. INAP, 8-9 IN 239 ============================== VAR 840241 NAME-PST YR-COST OF LVING CHG COLUMNS 482 - 482 NUMERIC MD=GE 8 Q.G4. DURING THE LAST YEAR, HAVE THE COSTS OF THINGS GONE UP, GONE DOWN, OR HAVE THEY REMAINED ABOUT THE SAME? ---------------------------------------------------------- 1542 1. GONE UP 608 3. STAYED SAME 83 5. GONE DOWN 17 8. DON'T KNOW 7 9. NA ============================== VAR 840242 NAME-HWMCH COST OF LVING CHG COLUMNS 483 - 483 NUMERIC MD=0 OR GE 8 Q.G4A. HAVE THEY GONE UP A LOT OR A LITTLE? Q.G4B. HAVE THEY GONE DOWN A LOT OR A LITTLE? --------------------------------------------- 653 1. GONE UP A LOT 875 2. GONE UP A LITTLE 608 3. STAYED SAME; CODED 3 IN 241 78 4. GONE DOWN A LITTLE 6 5. GONE DOWN A LOT 6 8. DK 7 9. NA 24 0. INAP, 8-9 IN 241 ============================== VAR 840243 NAME-NEXT 12 MOS-ECON CHG COLUMNS 484 - 484 NUMERIC MD=GE 8 Q.G5. WHAT ABOUT THE NEXT 12 MONTHS? DO YOU EXPECT THE ECONOMY TO GET BETTER, GET WORSE, OR STAY ABOUT THE SAME? --------------------------------------------------------- 587 1. GET BETTER 1040 3. STAY SAME 413 5. GET WORSE 205 8. DON'T KNOW 12 9. NA ============================== VAR 840244 NAME-ECON POL HELP NAT ECON COLUMNS 485 - 485 NUMERIC MD=GE 8 Q.G6. 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 OF A DIFFERENCE EITHER WAY? ------------------------------------------------------------ 758 1. BETTER 854 3. HAVEN'T MADE MUCH DIFFERENCE 465 5. WORSE 166 8. DON'T KNOW 14 9. NA ============================== VAR 840245 NAME-HWMCH ECON POL HELP COLUMNS 486 - 486 NUMERIC MD=0 OR GE 8 Q.G6A. WOULD YOU SAY MUCH BETTER OR SOMEWHAT BETTER? Q.G6B. WOULD YOU SAY MUCH WORSE OR SOMEWHAT WORSE? ---------------------------------------------------- 99 1. MUCH BETTER 658 2. SOMEWHAT BETTER 854 3. HAVEN'T MADE MUCH DIFFERENCE; CODED 3 IN 244 307 4. SOMEWHAT WORSE 157 5. MUCH WORSE 2 8. DK 9. NA 180 0. INAP, 8-9 IN 244 ============================== VAR 840246 NAME-PST YR- US POSITION CHG COLUMNS 487 - 487 NUMERIC MD=GE 8 Q.G7. DURING THE PAST YEAR, WOULD YOU SAY THAT THE UNITED STATES' POSITION IN THE WORLD HAS GROWN WEAKER, STAYED ABOUT THE SAME, OR HAS IT GROWN STRONGER? ------------------------------------------------------------ 601 1. WEAKER 853 3. STAYED SAME 714 5. STRONGER 81 8. DON'T KNOW 8 9. NA ============================== VAR 840247 NAME-R WORRIED ABT CONV WAR COLUMNS 488 - 488 NUMERIC MD=GE 8 Q.G8. HOW WORRIED ARE YOU ABOUT OUR COUNTRY GETTING INTO A CONVENTIONAL WAR AT THIS TIME, ONE IN WHICH NUCLEAR WEAPONS ARE NOT USED? ARE YOU VERY WORRIED, SOMEWHAT WORRIED, OR NOT WORRIED AT ALL? ----------------------------------------------------------- 428 1. VERY WORRIED 926 3. SOMEWHAT WORRIED 875 5. NOT WORRIED 20 8. DK 8 9. NA ============================== VAR 840248 NAME-R WORRIED ABT NUC WAR COLUMNS 489 - 489 NUMERIC MD=GE 8 Q.G9. HOW WORRIED ARE YOU ABOUT OUR COUNTRY GETTING INTO A NUCLEAR WAR AT THIS TIME? ARE YOU VERY WORRIED, SOMEWHAT WORRIED, OR NOT WORRIED AT ALL? ----------------------------------------------------------- 664 1. VERY WORRIED 773 3. SOMEWHAT WORRIED 792 5. NOT WORRIED 20 8. DK 8 9. NA ============================== VAR 840249 NAME-WHCH PARTY AVOIDS WAR COLUMNS 490 - 490 NUMERIC MD=GE 8 Q.G10. LOOKING AHEAD, DO YOU THINK THE PROBLEM OF KEEPING OUT OF WAR WOULD BE HANDLED BETTER IN THE NEXT FOUR YEARS BY THE REPUBLICANS, OR BY THE DEMOCRATS, OR ABOUT THE SAME BY BOTH? ------------------------------------------------------------ 505 1. BETTER BY DEMOCRATS 1074 3. SAME BY BOTH 565 5. BETTER BY REPUBLICANS 101 8. DK 12 9. NA ============================== VAR 840250 NAME-WOMEN'S EQUALITY-R COLUMNS 491 - 491 NUMERIC MD=0 OR GE 8 Q.G11. (R.B., P.5) RECENTLY THERE HAS BEEN A LOT OF TALK ABOUT WOMEN'S RIGHTS. SOME PEOPLE FEEL THAT WOMEN SHOULD HAVE AN EQUAL ROLE WITH MEN IN RUNNING BUSINESS, INDUSTRY, AND GOVERNMENT. SUPPOSE THESE PEOPLE ARE AT ONE END OF THE SCALE AT POINT NUMBER 1. OTHERS FEEL THAT WOMEN'S PLACE IS IN THE HOME. SUPPOSE THESE PEOPLE ARE AT THE OTHER END AT POINT 7. AND, OF COURSE, SOME PEOPLE HAVE OPINIONS SOMEWHERE IN BETWEEN AT POINTS 2, 3, 4, 5, OR 6. WHERE WOULD YOU PLACE YOURSELF ON THIS SCALE, OR HAVEN'T YOU THOUGHT MUCH ABOUT THIS? ------------------------------------------------------------ 727 1. WOMEN HAVE EQUAL ROLE 271 2. 209 3. 477 4. 160 5. 65 6. 116 7. WOMEN'S PLACE IS IN THE HOME 31 8. DK 18 9. NA 183 0. HAVEN'T THOUGHT MUCH ============================== VAR 840251 NAME-NAT BETTER-LESS EQUAL COLUMNS 492 - 492 NUMERIC MD=GE 8 Q.J1. (R.B., P.6) NOW I AM GOING TO READ SEVERAL STATEMENTS, AS I DID BEFORE. AFTER EACH ONE, I WOULD LIKE YOU TO TELL ME WHETHER YOU AGREE STRONGLY WITH THE STATEMENT, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, OR DISAGREE STRONGLY. AS BEFORE, YOU CAN JUST GIVE ME THE NUMBER OF YOUR CHOICE FROM THE RESPONDENT BOOKLET. Q.J1A. THIS COUNTRY WOULD BE BETTER OFF IF WE WORRIED LESS ABOUT HOW EQUAL PEOPLE ARE. ------------------------------------------------------------ 489 1. AGREE STRONGLY 680 2. AGREE SOMEWHAT 239 3. NEITHER AGREE NOR DISAGREE 418 4. DISAGREE SOMEWHAT 376 5. DISAGREE STRONGLY 44 8. DK 11 9. NA ============================== VAR 840252 NAME-FAILURES WORK SAME COLUMNS 493 - 493 NUMERIC MD=GE 8 Q.J1B. MOST PEOPLE WHO DO NOT GET AHEAD IN LIFE PROBABLY WORK AS HARD AS PEOPLE WHO DO. -------------------------------------------------------- 387 1. AGREE STRONGLY 639 2. AGREE SOMEWHAT 208 3. NEITHER AGREE NOR DISAGREE 630 4. DISAGREE SOMEWHAT 339 5. DISAGREE STRONGLY 41 8. DK 13 9. NA ============================== VAR 840253 NAME-FEWER PROBS-MORE EQUAL COLUMNS 494 - 494 NUMERIC MD=GE 8 Q.J1C. IF PEOPLE WERE TREATED MORE EQUALLY IN THIS COUNTRY WE WOULD HAVE MANY FEWER PROBLEMS. ---------------------------------------------------------- 652 1. AGREE STRONGLY 769 2. AGREE SOMEWHAT 272 3. NEITHER AGREE NOR DISAGREE 378 4. DISAGREE SOMEWHAT 136 5. DISAGREE STRONGLY 33 8. DK 17 9. NA ============================== VAR 840254 NAME-WILL TO WRK-CHANC OF SUC COLUMNS 495 - 495 NUMERIC MD=GE 8 Q.J1D. ANY PERSON WHO IS WILLING TO WORK HARD HAS A GOOD CHANCE OF SUCCEEDING. -------------------------------------------------------- 990 1. AGREE STRONGLY 876 2. AGREE SOMEWHAT 106 3. NEITHER AGREE NOR DISAGREE 200 4. DISAGREE SOMEWHAT 57 5. DISAGREE STRONGLY 17 8. DK 11 9. NA ============================== VAR 840255 NAME-NO PROB-UNEQUAL CHANCE COLUMNS 496 - 496 NUMERIC MD=GE 8 Q.J1E. IT IS NOT REALLY THAT BIG A PROBLEM IF SOME PEOPLE HAVE MORE OF A CHANCE IN LIFE THAN OTHERS. --------------------------------------------------------- 208 1. AGREE STRONGLY 575 2. AGREE SOMEWHAT 360 3. NEITHER AGREE NOR DISAGREE 642 4. DISAGREE SOMEWHAT 395 5. DISAGREE STRONGLY 61 8. DK 16 9. NA ============================== VAR 840256 NAME-TRY HARD NO GUAR OF GOAL COLUMNS 497 - 497 NUMERIC MD=GE 8 Q.J1F. EVEN IF PEOPLE TRY HARD THEY OFTEN CANNOT REACH THEIR GOALS. ------------------------------------------------------------ 703 1. AGREE STRONGLY 1065 2. AGREE SOMEWHAT 119 3. NEITHER AGREE NOR DISAGREE 257 4. DISAGREE SOMEWHAT 77 5. DISAGREE STRONGLY 24 8. DK 12 9. NA ============================== VAR 840257 NAME-MEN BETR IN POLS THN WMN COLUMNS 498 - 498 NUMERIC MD=GE 8 Q.J1G. MOST MEN ARE BETTER SUITED EMOTIONALLY FOR POLITICS THAN ARE MOST WOMEN. ---------------------------------------------------------- 351 1. AGREE STRONGLY 496 2. AGREE SOMEWHAT 345 3. NEITHER AGREE NOR DISAGREE 463 4. DISAGREE SOMEWHAT 542 5. DISAGREE STRONGLY 48 8. DK 12 9. NA ============================== VAR 840258 NAME-REAGAN-APPR/DISAPP COLUMNS 499 - 499 NUMERIC MD=GE 8 Q.J2. DO YOU APPROVE OR DISAPPROVE OF THE WAY RONALD REAGAN IS HANDLING HIS JOB AS PRESIDENT? ------------------------------------------------------------ 1325 1. APPROVE 766 5. DISAPPROVE 145 8. DON'T KNOW 21 9. NA ============================== VAR 840259 NAME-REAGAN-A/D-STNGLY/NOT ST COLUMNS 500 - 500 NUMERIC MD=0 OR GE 8 Q.J2A. DO YOU APPROVE STRONGLY OR NOT STRONGLY? Q.J2B. DO YOU DISAPPROVE STRONGLY OR NOT STRONGLY? --------------------------------------------------- 734 1. APPROVE STRONGLY 584 2. APPROVE NOT STRONGLY 315 4. DISAPPROVE NOT STRONGLY 447 5. DISAPPROVE STRONGLY 4 8. DK 7 9. NA 166 0. INAP, 8-9 IN 258 ============================== VAR 840260 NAME-REAGAN-ECON APPR/DISAPPR COLUMNS 501 - 501 NUMERIC MD=GE 8 Q.J3. DO YOU APPROVE OR DISAPPROVE OF THE WAY RONALD REAGAN IS HANDLING THE ECONOMY? ------------------------------------------------------------ 1214 1. APPROVE 875 5. DISAPPROVE 153 8. DK 15 9. NA ============================== VAR 840261 NAME-RGN-ECON STRG APP/DISAPP COLUMNS 502 - 502 NUMERIC MD=0 OR GE 8 Q.J3A. DO YOU APPROVE STRONGLY OR NOT STRONGLY? Q.J3B. DO YOU DISAPPROVE STRONGLY OR NOT STRONGLY? --------------------------------------------------- 649 1. APPROVE STRONGLY 562 2. APPROVE NOT STRONGLY 313 4. DISAPPROVE NOT STRONGLY 557 5. DISAPPROVE STRONGLY 2 8. DK 6 9. NA 168 0. INAP, 8-9 IN 260 ============================== VAR 840262 NAME-RGN-BAL BUDGT-APPR/DISAP COLUMNS 503 - 503 NUMERIC MD=GE 8 Q.J4. DO YOU APPROVE OR DISAPPROVE OF THE WAY RONALD REAGAN IS HANDLING THE BALANCING OF THE NATIONAL BUDGET? ------------------------------------------------------------ 750 1. APPROVE 1207 5. DISAPPROVE 282 8. DK 18 9. NA ============================== VAR 840263 NAME-RGN-BUDGT-STR APP/DISAPP COLUMNS 504 - 504 NUMERIC MD=0 OR GE 8 Q.J4A. DO YOU APPROVE STRONGLY OR NOT STRONGLY? Q.J4B. DO YOU DISAPPROVE STRONGLY OR NOT STRONGLY? --------------------------------------------------- 297 1. APPROVE STRONGLY 449 2. APPROVE NOT STRONGLY 379 4. DISAPPROVE NOT STRONGLY 825 5. DISAPPROVE STRONGLY 2 8. DK 5 9. NA 300 0. INAP, 8-9 IN 262 ============================== VAR 840264 NAME-RGN-FOR RELS APP/DISAPP COLUMNS 505 - 505 NUMERIC MD=GE 8 Q.J5. DO YOU APPROVE OR DISAPPROVE OF THE WAY RONALD REAGAN IS HANDLING OUR RELATIONS WITH FOREIGN COUNTRIES? ------------------------------------------------------------ 1085 1. APPROVE 987 5. DISAPPROVE 172 8. DK 13 9. NA ============================== VAR 840265 NAME-RGN-FOR RELS-STR APP/DIS COLUMNS 506 - 506 NUMERIC MD=0 OR GE 8 Q.J5A. DO YOU APPROVE STRONGLY OR NOT STRONGLY? Q.J5B. DO YOU DISAPPROVE STRONGLY OR NOT STRONGLY? --------------------------------------------------- 559 1. APPROVE STRONGLY 523 2. APPROVE NOT STRONGLY 310 4. DISAPPROVE NOT STRONGLY 673 5. DISAPPROVE STRONGLY 1 8. DK 6 9. NA 185 0. INAP, 8-9 IN 264 ============================== VAR 840266 NAME-DOES R LIKE ANYTHING-DEM COLUMNS 507 - 507 NUMERIC MD=GE 8 Q.K1. 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? ------------------------------------------------------------ 1034 1. YES 1013 5. NO 170 8. DK 40 9. NA ============================== VAR 840267 NAME-WHAT R LIKES,DEM PARTY-1 COLUMNS 508 - 511 NUMERIC MD=0 OR GE 9998 Q.K1A(1). WHAT IS THAT? Q.K1B(1). ANYTHING ELSE? ------------------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 9998. DK 9999. NA 0000. INAP, 5, 8-9 IN 266; NO FURTHER MENTION ============================== VAR 840268 NAME-WHAT R LIKES,DEM PARTY-2 COLUMNS 512 - 515 NUMERIC MD=0 Q.K1A(2). WHAT IS THAT? Q.K1B(2). ANYTHING ELSE? ------------------------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 266; CODED 9998-9999 IN 267; NO FURTHER MENTION ============================== VAR 840269 NAME-WHAT R LIKES,DEM PARTY-3 COLUMNS 516 - 519 NUMERIC MD=0 Q.K1A(3). WHAT IS THAT? Q.K1B(3). ANYTHING ELSE? ------------------------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 266; CODED 9998-9999 IN 267; NO FURTHER MENTION ============================== VAR 840270 NAME-WHAT R LIKES,DEM PARTY-4 COLUMNS 520 - 523 NUMERIC MD=0 Q.K1A(4). WHAT IS THAT? Q.K1B(4). ANYTHING ELSE? ------------------------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 266; CODED 9998-9999 IN 267; NO FURTHER MENTION ============================== VAR 840271 NAME-WHAT R LIKES,DEM PARTY-5 COLUMNS 524 - 527 NUMERIC MD=0 Q.K1A(5). WHAT IS THAT? Q.K1B(5). ANYTHING ELSE? ------------------------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 266; CODED 9998-9999 IN 267; NO FURTHER MENTION ============================== VAR 840272 NAME-DOES R DISLK ANYTNG-DEM COLUMNS 528 - 528 NUMERIC MD=GE 8 Q.K2. IS THERE ANYTHING IN PARTICULAR THAT YOU DON'T LIKE ABOUT THE DEMOCRATIC PARTY? ---------------------------------------------------------- 820 1. YES 1280 5. NO 125 8. DK 32 9. NA ============================== VAR 840273 NAME-WHAT R DISLKS,DEM PRTY-1 COLUMNS 529 - 532 NUMERIC MD=0 OR GE 9998 Q.K2A(1). WHAT IS THAT? Q.K2B(1). ANYTHING ELSE? ------------------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 9998. DK 9999. NA 0000. INAP, 5, 8-9 IN 272; NO FURTHER MENTION ============================== VAR 840274 NAME-WHAT R DISLKS,DEM PRTY-2 COLUMNS 533 - 536 NUMERIC MD=0 Q.K2A(2). WHAT IS THAT? Q.K2B(2). ANYTHING ELSE? ----------------------------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 272; 9998-9999 IN 273; NO FURTHER MENTION ============================== VAR 840275 NAME-WHAT R DISLKS,DEM PRTY-3 COLUMNS 537 - 540 NUMERIC MD=0 Q.K2A(3). WHAT IS THAT? Q.K2B(3). ANYTHING ELSE? ---------------------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 272; 9998-9999 IN 273; NO FURTHER MENTION ============================== VAR 840276 NAME-WHAT R DISLKS,DEM PRTY-4 COLUMNS 541 - 544 NUMERIC MD=0 Q.K2A(4). WHAT IS THAT? Q.K2B(4). ANYTHING ELSE? ---------------------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 272; 9998-9999 IN 273; NO FURTHER MENTION ============================== VAR 840277 NAME-WHAT R DISLKS,DEM PRTY-5 COLUMNS 545 - 548 NUMERIC MD=0 Q.K2A(5). WHAT IS THAT? Q.K2B(5). ANYTHING ELSE? ---------------------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 272; 9998-9999 IN 273; NO FURTHER MENTION ============================== VAR 840278 NAME-DOES R LIKE ANYTHING-REP COLUMNS 549 - 549 NUMERIC MD=GE 8 Q.K3. IS THERE ANYTHING IN PARTICULAR THAT YOU LIKE ABOUT THE REPUBLICAN PARTY? ---------------------------------------------------------- 879 1. YES 1205 5. NO 140 8. DK 33 9. NA ============================== VAR 840279 NAME-WHAT R LIKES,REP PARTY-1 COLUMNS 550 - 553 NUMERIC MD=0 OR GE 9998 Q.K3A(1). WHAT IS THAT? Q.K3B(1). ANYTHING ELSE? ------------------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 9998. DK 9999. NA 0000. INAP, 5, 8-9 IN 278; NO FURTHER MENTION ============================== VAR 840280 NAME-WHAT R LIKES,REP PARTY-2 COLUMNS 554 - 557 NUMERIC MD=0 Q.K3A(2). WHAT IS THAT? Q.K3B(2). ANYTHING ELSE? ------------------------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 278; 9998-9999 IN 279; NO FURTHER MENTION ============================== VAR 840281 NAME-WHAT R LIKES,REP PARTY-3 COLUMNS 558 - 561 NUMERIC MD=0 Q.K3A(3). WHAT IS THAT? Q.K3B(3). ANYTHING ELSE? ------------------------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 278; 9998-9999 IN 279; NO FURTHER MENTION ============================== VAR 840282 NAME-WHAT R LIKES,REP PARTY-4 COLUMNS 562 - 565 NUMERIC MD=0 Q.K3A(4). WHAT IS THAT? Q.K3B(4). ANYTHING ELSE? ------------------------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 278; 9998-9999 IN 279; NO FURTHER MENTION ============================== VAR 840283 NAME-WHAT R LIKES,REP PARTY-5 COLUMNS 566 - 569 NUMERIC MD=0 Q.K3A(5). WHAT IS THAT? Q.K3B(5). ANYTHING ELSE? ------------------------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 278; 9998-9999 IN 279; NO FURTHER MENTION ============================== VAR 840284 NAME-DOES R DISLK ANYTHNG-REP COLUMNS 570 - 570 NUMERIC MD=GE 8 Q.K4. IS THERE ANYTHING IN PARTICULAR THAT YOU DON'T LIKE ABOUT THE REPUBLICAN PARTY? ---------------------------------------------------------- 899 1. YES 1212 5. NO 114 8. DK 32 9. NA ============================== VAR 840285 NAME-WHAT R DISLKS,REP PRTY-1 COLUMNS 571 - 574 NUMERIC MD=0 OR GE 9998 Q.K4A(1). WHAT IS THAT? Q.K4B(1). ANYTHING ELSE? ------------------------------------------------------ SEE APPENDIX NOTE 0001. . . 9997. 9998. DK 9999. NA 0000. INAP, 5, 8-9 IN 284; NO FURTHER MENTION ============================== VAR 840286 NAME-WHAT R DISLKS,REP PRTY-2 COLUMNS 575 - 578 NUMERIC MD=0 Q.K4A(2). WHAT IS THAT? Q.K4B(2). ANYTHING ELSE? ---------------------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 284; 9998-9999 IN 285; NO FURTHER MENTION ============================== VAR 840287 NAME-WHAT R DISLKS,REP PRTY-3 COLUMNS 579 - 582 NUMERIC MD=0 Q.K4A(3). WHAT IS THAT? Q.K4B(3). ANYTHING ELSE? ---------------------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 284; 9998-9999 IN 285; NO FURTHER MENTION ============================== VAR 840288 NAME-WHAT R DISLKS,REP PRTY-4 COLUMNS 583 - 586 NUMERIC MD=0 Q.K4A(4). WHAT IS THAT? Q.K4B(4). ANYTHING ELSE? ---------------------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 284; 9998-9999 IN 285; NO FURTHER MENTION ============================== VAR 840289 NAME-WHAT R DISLKS,REP PRTY-5 COLUMNS 587 - 590 NUMERIC MD=0 Q.K4A(5). WHAT IS THAT? Q.K4B(5). ANYTHING ELSE? ---------------------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. 0000. INAP, 5, 8-9 IN 284; 9998-9999 IN 285; NO FURTHER MENTION ============================== VAR 840290 NAME-FEELNG THERM-REAGAN COLUMNS 591 - 593 NUMERIC MD=GE 997 Q.K5.(R. B., P.7) I'D LIKE TO GET YOUR FEELINGS TOWARD SOME OF OUR POLITICAL LEADERS AND OTHER PEOPLE WHO ARE IN THE NEWS THESE DAYS. I WILL USE SOMETHING WE CALL THE FEELING THERMOMETER AND HERE IS HOW IT WORKS: I'LL READ THE NAME OF A PERSON AND I'D LIKE YOU TO RATE THAT PERSON USING 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. 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. IF YOU DO RECOGNIZE THE NAME, BUT YOU DON'T FEEL PARTICULARLY WARM OR COLD TOWARD THE PERSON, YOU WOULD RATE THE PERSON AT THE 50 DEGREE MARK. Q.K5A. OUR FIRST PERSON IS RONALD REAGAN. 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?) ------------------------------------------------------------ ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840291 NAME-FEELING THERM-BAKER COLUMNS 594 - 596 NUMERIC MD=GE 997 Q.K5B. HOWARD BAKER -------------------------------------------- ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840292 NAME-FEELING THERM-BUSH COLUMNS 597 - 599 NUMERIC MD=GE 997 Q.K5C. GEORGE BUSH -------------------------------------------- ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840293 NAME-FEELING THERM-CARTER COLUMNS 600 - 602 NUMERIC MD=GE 997 Q.K5D. JIMMY CARTER ------------------------------------------- ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840294 NAME-FEELING THERM-DOLE COLUMNS 603 - 605 NUMERIC MD=GE 997 Q.K5E. ROBERT DOLE ------------------------------------------ ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840295 NAME-FEELING THERM-FORD COLUMNS 606 - 608 NUMERIC MD=GE 997 Q.K5F. GERALD FORD ------------------------------------------ ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840296 NAME-FEELING THERM-GLENN COLUMNS 609 - 611 NUMERIC MD=GE 997 Q.K5G. JOHN GLENN ----------------------------------------- ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840297 NAME-FEELNG THERM-HART COLUMNS 612 - 614 NUMERIC MD=GE 997 Q.K5H. GARY HART ---------------------------------------- ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840298 NAME-FEELING THERM-JACKSON COLUMNS 615 - 617 NUMERIC MD=GE 997 Q.K5I. JESSE JACKSON -------------------------------------------- ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840299 NAME-FEELING THERM-KENNEDY COLUMNS 618 - 620 NUMERIC MD=GE 997 Q.K5J. TED KENNEDY ------------------------------------------ ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840300 NAME-FEELING THERM-MCGOVERN COLUMNS 621 - 623 NUMERIC MD=GE 997 Q.K5K. GEORGE MCGOVERN ---------------------------------------------- ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840301 NAME-FEELING THERM-MONDALE COLUMNS 624 - 626 NUMERIC MD=GE 997 Q.K5M. WALTER MONDALE ---------------------------------------------- ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840302 NAME-FEELING THERM-NIXON COLUMNS 627 - 629 NUMERIC MD=GE 997 Q.K5N. RICHARD NIXON --------------------------------------------- ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840303 NAME-FEELNG THERM-O'NEILL COLUMNS 630 - 632 NUMERIC MD=GE 997 Q.K5O. TIP O'NEILL ------------------------------------------ ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840304 NAME-FEELING THERM-FERRARO COLUMNS 633 - 635 NUMERIC MD=GE 997 Q.K5P. GERALDINE FERRARO ------------------------------------------------- ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840305 NAME-FEELING THERM-DEM PARTY COLUMNS 636 - 638 NUMERIC MD=GE 997 Q.K5Q. THE DEMOCRATIC PARTY --------------------------------------------------- ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840306 NAME-FEELING THERM-REP PARTY COLUMNS 639 - 641 NUMERIC MD=GE 997 Q.K5R. THE REPUBLICAN PARTY --------------------------------------------------- ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840307 NAME-FEELING THERM-INDEPDNTS COLUMNS 642 - 644 NUMERIC MD=GE 997 Q.K5S. PEOPLE WHO CALL THEMSELVES POLITICAL INDEPENDENTS --------------------------------------------------------- ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840308 NAME-FEELING THERM-POL PRTIES COLUMNS 645 - 647 NUMERIC MD=GE 997 Q.K5T. POLITICAL PARTIES, IN GENERAL ------------------------------------------------------------ ACTUAL NUMBER IS CODED. 000. . . 100. 997. DOESN'T RECOGNIZE NAME 998. DON'T KNOW WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR 840309 NAME-GOVT PAY ATTN TO ELECTS COLUMNS 648 - 648 NUMERIC MD=GE 8 Q.K6. HOW MUCH DO YOU FEEL THAT HAVING ELECTIONS MAKES THE GOVERNMENT PAY ATTENTION TO WHAT THE PEOPLE THINK--A GOOD DEAL, SOME, OR NOT MUCH? ----------------------------------------------------------- 947 1. A GOOD DEAL 822 3. SOME 449 5. NOT MUCH 25 8. DK 14 9. NA ============================== VAR 840310 NAME-GOVT PAY ATTN TO PPLE COLUMNS 649 - 649 NUMERIC MD=GE 8 Q.K7. OVER THE YEARS, HOW MUCH ATTENTION DO YOU FEEL THE GOVERNMENT PAYS TO WHAT PEOPLE THINK WHEN IT DECIDES WHAT TO DO--A GOOD DEAL, SOME, OR NOT MUCH? ------------------------------------------------------------ 331 1. A GOOD DEAL 1209 3. SOME 666 5. NOT MUCH 33 8. DK 18 9. NA ============================== VAR 840311 NAME-PPLE NO CARE-NO VOTE COLUMNS 650 - 650 NUMERIC MD=GE 8 Q.K8. PLEASE TELL ME WHETHER YOU AGREE OR DISAGREE WITH EACH OF THE STATEMENTS. Q.K8A. IF A PERSON DOESN'T CARE HOW AN ELECTION COMES OUT, THEN THAT PERSON SHOULDN'T VOTE IN IT. ----------------------------------------------------------- 1276 1. AGREE 953 5. DISAGREE 14 8. DK 14 9. NA ============================== VAR 840312 NAME-DOES R HAVE SAY IN GOVT COLUMNS 651 - 651 NUMERIC MD=GE 8 Q.K8B. PEOPLE LIKE ME DON'T HAVE ANY SAY ABOUT WHAT THE GOVERNMENT DOES. -------------------------------------------------------- 706 1. AGREE 1517 5. DISAGREE 11 8. DK 23 9. NA ============================== VAR 840313 NAME-DO PUB OFCLS CARE-R THNK COLUMNS 652 - 652 NUMERIC MD=GE 8 Q.K8C. I DON'T THINK PUBLIC OFFICIALS CARE MUCH WHAT PEOPLE LIKE ME THINK. ------------------------------------------------------------ 945 1. AGREE 1271 5. DISAGREE 13 8. DK 28 9. NA ============================== VAR 840314 NAME-IS PLTCS TOO CMPLICATED COLUMNS 653 - 653 NUMERIC MD=GE 8 Q.K8D. SOMETIMES POLITICS AND GOVERNMENT SEEM SO COMPLICATED THAT A PERSON LIKE ME CAN'T REALLY UNDERSTAND WHAT'S GOING ON. --------------------------------------------------------- 1580 1. AGREE 650 5. DISAGREE 9 8. DK 18 9. NA ============================== VAR 840315 NAME-R'S PARTY IDENTIFICATION COLUMNS 654 - 654 NUMERIC MD=GE 8 Q.K9. GENERALLY SPEAKING, DO YOU USUALLY THINK OF YOURSELF AS A REPUBLICAN, A DEMOCRAT, AN INDEPENDENT, OR WHAT? ----------------------------------------------------------- 606 1. REPUBLICAN 565 2. INDEPENDENT 234 3. NO PREFERENCE 3 4. OTHER PARTY 828 5. DEMOCRAT 3 8. DK 18 9. NA ============================== VAR 840316 NAME-R'S PARTY ID-STRENGTH COLUMNS 655 - 655 NUMERIC MD=0 OR GE 8 Q.K9A. WOULD YOU CALL YOURSELF A STRONG REPUBLICAN OR A NOT VERY STRONG REPUBLICAN? Q.K9B. WOULD YOU CALL YOURSELF A STRONG DEMOCRAT OR A NOT VERY STRONG DEMOCRAT? ------------------------------------------------------------ 656 1. STRONG 773 5. NOT VERY STRONG 2 8. DK 3 9. NA 823 0. INAP, 2-4, 8-9 IN 315 ============================== VAR 840317 NAME-IS R CLOSER TO REP/DEM COLUMNS 656 - 656 NUMERIC MD=0 OR GE 8 Q.K9C. DO YOU THINK OF YOURSELF AS CLOSER TO THE REPUBLICAN PARTY OR TO THE DEMOCRATIC PARTY? ------------------------------------------------------------ 277 1. CLOSER TO REPUBLICAN PARTY 280 3. NEITHER 242 5. CLOSER TO DEMOCRATIC PARTY 1 8. DK 2 9. NA 1455 0. INAP, 1, 5, 8-9 IN 315 ============================== VAR 840318 NAME-SUMMARY:R'S PARTY ID COLUMNS 657 - 657 NUMERIC MD=9 OR GE 7 Q.K9X. SUMMARY: R'S PARTY ID ---------------------------- BUILT FROM 315, 316, 317 379 0. STRONG DEMOCRACT (5,1,0) 449 1. WEAK DEMOCRAT (5,5,0;5,8,0;5,9,0) 242 2. INDEPENDENT-DEMOCRAT (2,0,5;3,0,5;4,0,5) 245 3. INDEPENDENT-INDEPENDENT (2,0,3;2,0,8;2,0,9;3,0,3;3,0,8;3,0,9) 277 4. INDEPENDENT-REPUBLICAN (2,0,1;3,0,1;4,0,1) 329 5. WEAK REPUBLICAN (1,5,0;1,8,0;1,9,0) 277 6. STRONG REPUBLICAN (1,1,0) 7. OTHER-MINOR PARTY, REFUSES TO SAY (4,0,3;4, 0,8;4,0,9) 38 8. APOLITICAL (3,0,3;3,0,8;3,0,9 AND LITTLE OR NO INTEREST IN POLITICS) 21 9. NA (8,0,0;9,0,0) ============================== VAR 840319 NAME-REAGAN-HARD WORKING COLUMNS 658 - 658 NUMERIC MD=GE 8 Q.M1. (R.B. P. 9) I AM GOING TO READ A LIST OF WORDS AND PHRASES PEOPLE MAY USE TO DESCRIBE POLITICAL FIGURES. FOR EACH, PLEASE TELL ME WHETHER THE WORD OR PHRASE DESCRIBES THE CANDIDATE I NAME. THINK ABOUT RONALD REAGAN. THE FIRST PHRASE IS "HARD-WORKING". IN YOUR OPINION DOES THE PHRASE "HARD-WORKING" DESCRIBE REAGAN EXTREMELY WELL, QUITE WELL, NOT TOO WELL, OR NOT WELL AT ALL? YOU CAN JUST TELL ME THE NUMBER OF YOUR CHOICE. Q.M1A. HARD-WORKING ----------------------------------------------------------- 438 1. EXTREMELY WELL 1079 2. QUITE WELL 483 3. NOT TOO WELL 185 4. NOT WELL AT ALL 47 8. DON'T KNOW 25 9. NA ============================== VAR 840320 NAME-REAGAN-DECENT COLUMNS 659 - 659 NUMERIC MD=GE 8 Q.M1B. DECENT ----------------------- 669 1. EXTREMELY WELL 1139 2. QUITE WELL 279 3. NOT TOO WELL 80 4. NOT WELL AT ALL 62 8. DON'T KNOW 28 9. NA ============================== VAR 840321 NAME-REAGAN-COMPASSIONATE COLUMNS 660 - 660 NUMERIC MD=GE 8 Q.M1C. COMPASSIONATE ------------------------------ 373 1. EXTREMELY WELL 901 2. QUITE WELL 615 3. NOT TOO WELL 237 4. NOT WELL AT ALL 101 8. DON'T KNOW 30 9. NA ============================== VAR 840322 NAME-REAGAN-COMMANDS RESPECT COLUMNS 661 - 661 NUMERIC MD=GE 8 Q.M1D. COMMANDS RESPECT ---------------------------------- 704 1. EXTREMELY WELL 993 2. QUITE WELL 358 3. NOT TOO WELL 100 4. NOT WELL AT ALL 73 8. DON'T KNOW 29 9. NA ============================== VAR 840323 NAME-REAGAN-INTELLIGENT COLUMNS 662 - 662 NUMERIC MD=GE 8 Q.M1E. INTELLIGENT ----------------------------- 820 1. EXTREMELY WELL 983 2. QUITE WELL 269 3. NOT TOO WELL 107 4. NOT WELL AT ALL 51 8. DON'T KNOW 27 9. NA ============================== VAR 840324 NAME-REAGAN-MORAL COLUMNS 663 - 663 NUMERIC MD=GE 8 Q.M1F. MORAL ----------------------- 721 1. EXTREMELY WELL 1003 2. QUITE WELL 290 3. NOT TOO WELL 83 4. NOT WELL AT ALL 134 8. DON'T KNOW 26 9. NA ============================== VAR 840325 NAME-REAGAN-KIND COLUMNS 664 - 664 NUMERIC MD=GE 8 Q.M1G. KIND --------------------- 530 1. EXTREMELY WELL 1065 2. QUITE WELL 392 3. NOT TOO WELL 128 4. NOT WELL AT ALL 115 8. DON'T KNOW 27 9. NA ============================== VAR 840326 NAME-REAGAN-INSPIRING COLUMNS 665 - 665 NUMERIC MD=GE 8 Q.M1H. INSPIRING -------------------------- 470 1. EXTREMELY WELL 797 2. QUITE WELL 628 3. NOT TOO WELL 234 4. NOT WELL AT ALL 99 8. DON'T KNOW 29 9. NA ============================== VAR 840327 NAME-REAGAN-KNOWLEDGEABLE COLUMNS 666 - 666 NUMERIC MD=GE 8 Q.M1I. KNOWLEDGEABLE ------------------------------ 619 1. EXTREMELY WELL 1036 2. QUITE WELL 352 3. NOT TOO WELL 152 4. NOT WELL AT ALL 66 8. DON'T KNOW 32 9. NA ============================== VAR 840328 NAME-REAGAN-GOOD EXAMPLE COLUMNS 667 - 667 NUMERIC MD=GE 8 Q.M1J. SETS A GOOD EXAMPLE ------------------------------------- 522 1. EXTREMELY WELL 936 2. QUITE WELL 511 3. NOT TOO WELL 186 4. NOT WELL AT ALL 71 8. DON'T KNOW 31 9. NA ============================== VAR 840329 NAME-RGN-CARE ABOUT PLE LKE R COLUMNS 668 - 668 NUMERIC MD=GE 8 Q.M1K. REALLY CARES ABOUT PEOPLE LIKE YOU --------------------------------------------------- 296 1. EXTREMELY WELL 708 2. QUITE WELL 690 3. NOT TOO WELL 444 4. NOT WELL AT ALL 86 8. DON'T KNOW 33 9. NA ============================== VAR 840330 NAME-REAGAN-STR LEADERSHIP COLUMNS 669 - 669 NUMERIC MD=GE 8 Q.M1M. PROVIDES STRONG LEADERSHIP -------------------------------------------- 642 1. EXTREMELY WELL 896 2. QUITE WELL 451 3. NOT TOO WELL 175 4. NOT WELL AT ALL 62 8. DON'T KNOW 31 9. NA ============================== VAR 840331 NAME-REAGN-UNDSTDS PLE LKE R COLUMNS 670 - 670 NUMERIC MD=GE 8 Q.M1N. UNDERSTANDS PEOPLE LIKE YOU --------------------------------------------- 228 1. EXTREMELY WELL 692 2. QUITE WELL 790 3. NOT TOO WELL 423 4. NOT WELL AT ALL 93 8. DON'T KNOW 31 9. NA ============================== VAR 840332 NAME-REAGAN-FAIR COLUMNS 671 - 671 NUMERIC MD=GE 8 Q.M1O. FAIR --------------------- 298 1. EXTREMELY WELL 945 2. QUITE WELL 661 3. NOT TOO WELL 248 4. NOT WELL AT ALL 74 8. DON'T KNOW 31 9. NA ============================== VAR 840333 NAME-RGN-TCH WITH ORDIN PPLE COLUMNS 672 - 672 NUMERIC MD=GE 8 Q.M1P. IN TOUCH WITH ORDINARY PEOPLE ----------------------------------------------- 175 1. EXTREMELY WELL 601 2. QUITE WELL 842 3. NOT TOO WELL 515 4. NOT WELL AT ALL 93 8. DON'T KNOW 31 9. NA ============================== VAR 840334 NAME-REAGAN-RELIGIOUS COLUMNS 673 - 673 NUMERIC MD=GE 8 Q.M1R. RELIGIOUS --------------------------- 427 1. EXTREMELY WELL 881 2. QUITE WELL 386 3. NOT TOO WELL 154 4. NOT WELL AT ALL 377 8. DON'T KNOW 32 9. NA ============================== VAR 840335 NAME-MONDALE-HARD WORKING COLUMNS 674 - 674 NUMERIC MD=GE 8 Q.M2. (R.B., STILL P.9) THINK ABOUT WALTER MONDALE. THE FIRST PHRASE IS "HARD-WORKING". IN YOUR OPINION DOES THE PHRASE "HARD-WORKING" DESCRIBE MONDALE EXTREMELY WELL, QUITE WELL, NOT TOO WELL, OR NOT WELL AT ALL? (YOU CAN JUST TELL ME THE NUMBER OF YOUR CHOICE.) Q.M2A. HARD-WORKING ------------------------------------------------------------ 555 1. EXTREMELY WELL 1238 2. QUITE WELL 180 3. NOT TOO WELL 33 4. NOT WELL AT ALL 212 8. DON'T KNOW 39 9. NA ============================== VAR 840336 NAME-MONDALE-DECENT COLUMNS 675 - 675 NUMERIC MD=GE 8 Q.M2B. DECENT ------------------------- 437 1. EXTREMELY WELL 1406 2. QUITE WELL 156 3. NOT TOO WELL 36 4. NOT WELL AT ALL 183 8. DON'T KNOW 39 9. NA ============================== VAR 840337 NAME-MONDALE-COMPASSIONATE COLUMNS 676 - 676 NUMERIC MD=GE 8 Q.M2C. COMPASSIONATE ------------------------------- 336 1. EXTREMELY WELL 1194 2. QUITE WELL 360 3. NOT TOO WELL 48 4. NOT WELL AT ALL 280 8. DON'T KNOW 39 9. NA ============================== VAR 840338 NAME-MONDALE-COMANDS RESPECT COLUMNS 677 - 677 NUMERIC MD=GE 8 Q.M2D. COMMANDS RESPECT ----------------------------------- 254 1. EXTREMELY WELL 952 2. QUITE WELL 689 3. NOT TOO WELL 132 4. NOT WELL AT ALL 192 8. DON'T KNOW 38 9. NA ============================== VAR 840339 NAME-MONDALE-INTELLIGENT COLUMNS 678 - 678 NUMERIC MD=GE 8 Q.M2E. INTELLIGENT ----------------------------- 491 1. EXTREMELY WELL 1274 2. QUITE WELL 249 3. NOT TOO WELL 39 4. NOT WELL AT ALL 165 8. DON'T KNOW 39 9. NA ============================== VAR 840340 NAME-MONDALE-MORAL COLUMNS 679 - 679 NUMERIC MD=GE 8 Q.M2F. MORAL ------------------------ 410 1. EXTREMELY WELL 1234 2. QUITE WELL 236 3. NOT TOO WELL 54 4. NOT WELL AT ALL 283 8. DON'T KNOW 40 9. NA ============================== VAR 840341 NAME-MONDALE-KIND COLUMNS 680 - 680 NUMERIC MD=GE 8 Q.M2G. KIND ----------------------- 379 1. EXTREMELY WELL 1264 2. QUITE WELL 264 3. NOT TOO WELL 40 4. NOT WELL AT ALL 270 8. DON'T KNOW 40 9. NA ============================== VAR 840342 NAME-MONDALE-INSPIRING COLUMNS 681 - 681 NUMERIC MD=GE 8 Q.M2H. INSPIRING --------------------------- 210 1. EXTREMELY WELL 661 2. QUITE WELL 863 3. NOT TOO WELL 270 4. NOT WELL AT ALL 211 8. DON'T KNOW 42 9. NA ============================== VAR 840343 NAME-MONDALE-KNOWLEDGEABLE COLUMNS 682 - 682 NUMERIC MD=GE 8 Q.M2I. KNOWLEDGEABLE -------------------------------- 433 1. EXTREMELY WELL 1226 2. QUITE WELL 320 3. NOT TOO WELL 64 4. NOT WELL AT ALL 175 8. DON'T KNOW 39 9. NA ============================== VAR 840344 NAME-MONDALE-GOOD EXAMPLE COLUMNS 683 - 683 NUMERIC MD=GE 8 Q.M2J. SETS A GOOD EXAMPLE ------------------------------------- 288 1. EXTREMELY WELL 1014 2. QUITE WELL 563 3. NOT TOO WELL 121 4. NOT WELL AT ALL 228 8. DON'T KNOW 43 9. NA ============================== VAR 840345 NAME-MNDL-CARE ABT PLE LKE R COLUMNS 684 - 684 NUMERIC MD=GE 8 Q.M2K. REALLY CARES ABOUT PEOPLE LIKE YOU ---------------------------------------------------- 312 1. EXTREMELY WELL 927 2. QUITE WELL 552 3. NOT TOO WELL 148 4. NOT WELL AT ALL 274 8. DON'T KNOW 44 9. NA ============================== VAR 840346 NAME-MONDALE-STR LEADERSHIP COLUMNS 685 - 685 NUMERIC MD=GE 8 Q.M2M. PROVIDES STRONG LEADERSHIP --------------------------------------------- 229 1. EXTREMELY WELL 724 2. QUITE WELL 737 3. NOT TOO WELL 262 4. NOT WELL AT ALL 261 8. DON'T KNOW 44 9. NA ============================== VAR 840347 NAME-MNDL-UNDSTDS PLE LKE R COLUMNS 686 - 686 NUMERIC MD=GE 8 Q.M2N. UNDERSTANDS PEOPLE LIKE YOU --------------------------------------------- 251 1. EXTREMELY WELL 892 2. QUITE WELL 631 3. NOT TOO WELL 168 4. NOT WELL AT ALL 274 8. DON'T KNOW 41 9. NA ============================== VAR 840348 NAME-MONDALE-FAIR COLUMNS 687 - 687 NUMERIC MD=GE 8 Q.M2O. FAIR ---------------------- 268 1. EXTREMELY WELL 1225 2. QUITE WELL 363 3. NOT TOO WELL 96 4. NOT WELL AT ALL 262 8. DON'T KNOW 43 9. NA ============================== VAR 840349 NAME-MNDL-TOUCH W ORDIN PPLE COLUMNS 688 - 688 NUMERIC MD=GE 8 Q.M2P. IN TOUCH WITH ORDINARY PEOPLE ------------------------------------------------ 304 1. EXTREMELY WELL 998 2. QUITE WELL 529 3. NOT TOO WELL 136 4. NOT WELL AT ALL 250 8. DON'T KNOW 40 9. NA ============================== VAR 840350 NAME-MONDALE-RELIGIOUS COLUMNS 689 - 689 NUMERIC MD=GE 8 Q.M2R. RELIGIOUS ---------------------------- 261 1. EXTREMELY WELL 909 2. QUITE WELL 285 3. NOT TOO WELL 77 4. NOT WELL AT ALL 685 8. DON'T KNOW 40 9. NA ============================== VAR 840351 NAME-BUSH-HARD WORKING COLUMNS 690 - 690 NUMERIC MD=GE 8 Q.M3. (R.B., STILL P.9) THINK ABOUT GEORGE BUSH. THE FIRST PHRASE IS "HARD-WORKING". IN YOUR OPINION DOES THE PHRASE "HARD-WORKING" DESCRIBE BUSH EXTREMELY WELL, QUITE WELL, NOT TOO WELL, OR NOT WELL AT ALL? (YOU CAN JUST TELL ME THE NUMBER OF YOUR CHOICE.) Q.M3A. HARD-WORKING ------------------------------------------------------------ 350 1. EXTREMELY WELL 1057 2. QUITE WELL 326 3. NOT TOO WELL 55 4. NOT WELL AT ALL 425 8. DON'T KNOW 44 9. NA ============================== VAR 840352 NAME-BUSH-COMPASSIONATE COLUMNS 691 - 691 NUMERIC MD=GE 8 Q.M3C. COMPASSIONATE ------------------------------------ 154 1. EXTREMELY WELL 964 2. QUITE WELL 503 3. NOT TOO WELL 86 4. NOT WELL AT ALL 504 8. DON'T KNOW 46 9. NA ============================== VAR 840353 NAME-BUSH-MORAL COLUMNS 692 - 692 NUMERIC MD=GE 8 Q.M3F. MORAL --------------------------- 245 1. EXTREMELY WELL 1115 2. QUITE WELL 275 3. NOT TOO WELL 66 4. NOT WELL AT ALL 510 8. DON'T KNOW 46 9. NA ============================== VAR 840354 NAME-BUSH-INSPIRING COLUMNS 693 - 693 NUMERIC MD=GE 8 Q.M3H. INSPIRING ------------------------------- 147 1. EXTREMELY WELL 701 2. QUITE WELL 757 3. NOT TOO WELL 168 4. NOT WELL AT ALL 437 8. DON'T KNOW 47 9. NA ============================== VAR 840355 NAME-BUSH-KNOWLEDGEABLE COLUMNS 694 - 694 NUMERIC MD=GE 8 Q.M3I. KNOWLEDGEABLE ----------------------------------- 370 1. EXTREMELY WELL 1120 2. QUITE WELL 269 3. NOT TOO WELL 59 4. NOT WELL AT ALL 391 8. DON'T KNOW 48 9. NA ============================== VAR 840356 NAME-BUSH-GOOD EXAMPLE COLUMNS 695 - 695 NUMERIC MD=GE 8 Q.M3J. SETS A GOOD EXAMPLE ----------------------------------------- 242 1. EXTREMELY WELL 952 2. QUITE WELL 457 3. NOT TOO WELL 120 4. NOT WELL AT ALL 441 8. DON'T KNOW 45 9. NA ============================== VAR 840357 NAME-BUSH-CARE ABT PLE LKE R COLUMNS 696 - 696 NUMERIC MD=GE 8 Q.M3K. REALLY CARES ABOUT PEOPLE LIKE YOU -------------------------------------------------------- 125 1. EXTREMELY WELL 657 2. QUITE WELL 699 3. NOT TOO WELL 216 4. NOT WELL AT ALL 512 8. DON'T KNOW 48 9. NA ============================== VAR 840358 NAME-BUSH-STR LEADERSHIP COLUMNS 697 - 697 NUMERIC MD=GE 8 Q.M3M. PROVIDES STRONG LEADERSHIP ------------------------------------------------- 193 1. EXTREMELY WELL 771 2. QUITE WELL 623 3. NOT TOO WELL 168 4. NOT WELL AT ALL 457 8. DON'T KNOW 45 9. NA ============================== VAR 840359 NAME-BUSH-TOUCH W ORDIN PPLE COLUMNS 698 - 698 NUMERIC MD=GE 8 Q.M3P. IN TOUCH WITH ORDINARY PEOPLE --------------------------------------------------- 99 1. EXTREMELY WELL 654 2. QUITE WELL 744 3. NOT TOO WELL 237 4. NOT WELL AT ALL 478 8. DON'T KNOW 45 9. NA ============================== VAR 840360 NAME-FERRARO-HARD WORKING COLUMNS 699 - 699 NUMERIC MD=GE 8 Q.M4. (R.B., STILL P.9) THINK ABOUT GERALDINE FERRARO. THE FIRST PHRASE IS "HARD-WORKING". IN YOUR OPINION DOES THE PHRASE "HARD-WORKING" DESCRIBE FERRARO EXTREMELY WELL, QUITE WELL, NOT TOO WELL, OR NOT WELL AT ALL? (YOU CAN JUST TELL ME THE NUMBER OF YOUR CHOICE.) Q.M4A. HARD-WORKING ------------------------------------------------------------ 791 1. EXTREMELY WELL 943 2. QUITE WELL 109 3. NOT TOO WELL 31 4. NOT WELL AT ALL 337 8. DK 46 9. NA ============================== VAR 840361 NAME-FERRARO-COMPASSIONATE COLUMNS 700 - 700 NUMERIC MD=GE 8 Q.M4C. COMPASSIONATE ----------------------------------------- 377 1. EXTREMELY WELL 1054 2. QUITE WELL 294 3. NOT TOO WELL 63 4. NOT WELL AT ALL 422 8. DK 47 9. NA ============================== VAR 840362 NAME-FERRARO-MORAL COLUMNS 701 - 701 NUMERIC MD=GE 8 Q.M4F. MORAL ---------------------------------- 329 1. EXTREMELY WELL 1045 2. QUITE WELL 308 3. NOT TOO WELL 88 4. NOT WELL AT ALL 438 8. DK 49 9. NA ============================== VAR 840363 NAME-FERRARO-INSPIRING COLUMNS 702 - 702 NUMERIC MD=GE 8 Q.M4H. INSPIRING ------------------------------------- 477 1. EXTREMELY WELL 773 2. QUITE WELL 477 3. NOT TOO WELL 134 4. NOT WELL AT ALL 345 8. DK 51 9. NA ============================== VAR 840364 NAME-FERRARO-KNOWLEDGEABLE COLUMNS 703 - 703 NUMERIC MD=GE 8 Q.M4I. KNOWLEDGEABLE ------------------------------------------ 484 1. EXTREMELY WELL 1049 2. QUITE WELL 287 3. NOT TOO WELL 73 4. NOT WELL AT ALL 316 8. DK 48 9. NA ============================== VAR 840365 NAME-FERRARO-GOOD EXAMPLE COLUMNS 704 - 704 NUMERIC MD=GE 8 Q.M4J. SETS A GOOD EXAMPLE ------------------------------------------------ 388 1. EXTREMELY WELL 872 2. QUITE WELL 439 3. NOT TOO WELL 156 4. NOT WELL AT ALL 354 8. DK 48 9. NA ============================== VAR 840366 NAME-FER-CARES ABT PPLE LKE R COLUMNS 705 - 705 NUMERIC MD=GE 8 Q.M4K. REALLY CARES ABOUT PEOPLE LIKE YOU ------------------------------------------------------ 275 1. EXTREMELY WELL 853 2. QUITE WELL 497 3. NOT TOO WELL 135 4. NOT WELL AT ALL 445 8. DK 52 9. NA ============================== VAR 840367 NAME-FERRARO-STR LEADERSHIP COLUMNS 706 - 706 NUMERIC MD=GE 8 Q.M4M. PROVIDES STRONG LEADERSHIP ------------------------------------------------------ 309 1. EXTREMELY WELL 805 2. QUITE WELL 506 3. NOT TOO WELL 178 4. NOT WELL AT ALL 411 8. DK 48 9. NA ============================== VAR 840368 NAME-FER-TOUCH W ORDIN PPLE COLUMNS 707 - 707 NUMERIC MD=GE 8 Q.M4P. IN TOUCH WITH ORDINARY PEOPLE ---------------------------------------------------------- 309 1. EXTREMELY WELL 895 2. QUITE WELL 466 3. NOT TOO WELL 135 4. NOT WELL AT ALL 403 8. DK 49 9. NA ============================== VAR 840369 NAME-SCALE-LIB TO CONSRVATIVE COLUMNS 708 - 708 NUMERIC MD=0 OR GE 8 Q.N1. (R.B., P.10) WE HEAR A LOT OF TALK THESE DAYS ABOUT LIBERALS AND CONSERVATIVES. HERE IS A SEVEN-POINT SCALE ON WHICH THE POLITICAL VIEWS THAT PEOPLE MIGHT HOLD ARE ARRANGED FROM EXTREMELY LIBERAL TO EXTREMELY CONSERVATIVE. Q.N1A. WHERE WOULD YOU PLACE YOURSELF ON THIS SCALE, OR HAVEN'T YOU THOUGHT MUCH ABOUT THIS? ----------------------------------------------------------- 36 1. EXTREMELY LIBERAL 161 2. LIBERAL 201 3. SLIGHTLY LIBERAL 520 4. MODERATE, MIDDLE OF ROAD 313 5. SLIGHTLY CONSERVATIVE 288 6. CONSERVATIVE 36 7. EXTREMELY CONSERVATIVE 85 8. DK 28 9. NA 589 0. HAVEN'T THOUGHT MUCH ============================== VAR 840370 NAME-IS R LIBERAL/CONSRVATIVE COLUMNS 709 - 709 NUMERIC MD=0 OR GE 8 Q.N1AA.IF YOU HAD TO CHOOSE, WOULD YOU CONSIDER YOURSELF A LIBERAL OR A CONSERVATIVE? ---------------------------------------------------------- 112 1. LIBERAL 76 3. MODERATE, MIDDLE OF ROAD 229 5. CONSERVATIVE 52 7. R REFUSES TO CHOOSE 205 8. DK 28 9. NA 1555 0. INAP, 1-7 IN 369 ============================== VAR 840371 NAME-LIB TO CONS SCALE-REAGAN COLUMNS 710 - 710 NUMERIC MD=0 OR GE 8 Q.N1B. WHERE WOULD YOU PLACE RONALD REAGAN ON THIS SCALE? --------------------------------------------------------- 70 1. EXTREMELY LIBERAL 162 2. LIBERAL 161 3. SLIGHTLY LIBERAL 209 4. MODERATE, MIDDLE OF ROAD 267 5. SLIGHTLY CONSERVATIVE 731 6. CONSERVATIVE 250 7. EXTREMELY CONSERVATIVE 163 8. DK 11 9. NA 233 0. INAP, 8-9 IN 370 ============================== VAR 840372 NAME-LIB TO CONS SCALE-MONDLE COLUMNS 711 - 711 NUMERIC MD=0 OR GE 8 Q.N1C. (WHERE WOULD YOU PLACE) WALTER MONDALE? ---------------------------------------------- 123 1. EXTREMELY LIBERAL 466 2. LIBERAL 401 3. SLIGHTLY LIBERAL 404 4. MODERATE, MIDDLE OF ROAD 194 5. SLIGHTLY CONSERVATIVE 166 6. CONSERVATIVE 58 7. EXTREMELY CONSERVATIVE 202 8. DK 10 9. NA 233 0. INAP, 8-9 IN 370 ============================== VAR 840373 NAME-LIB TO CON SCALE-DEM PTY COLUMNS 712 - 712 NUMERIC MD=0 OR GE 8 Q.N1D. (WHERE WOULD YOU PLACE) THE DEMOCRATIC PARTY? ---------------------------------------------------- 141 1. EXTREMELY LIBERAL 506 2. LIBERAL 391 3. SLIGHTLY LIBERAL 340 4. MODERATE, MIDDLE OF ROAD 189 5. SLIGHTLY CONSERVATIVE 171 6. CONSERVATIVE 55 7. EXTREMELY CONSERVATIVE 220 8. DK 11 9. NA 233 0. INAP, 8-9 IN 370 ============================== VAR 840374 NAME-LIB TO CON SCALE-REP PTY COLUMNS 713 - 713 NUMERIC MD=0 OR GE 8 Q.N1E. (WHERE WOULD YOU PLACE) THE REPUBLICAN PARTY? ---------------------------------------------------- 44 1. EXTREMELY LIBERAL 144 2. LIBERAL 165 3. SLIGHTLY LIBERAL 246 4. MODERATE, MIDDLE OF ROAD 377 5. SLIGHTLY CONSERVATIVE 652 6. CONSERVATIVE 167 7. EXTREMELY CONSERVATIVE 218 8. DK 11 9. NA 233 0. INAP, 8-9 IN 370 ============================== VAR 840375 NAME-GOVT SERVICES-R COLUMNS 714 - 714 NUMERIC MD=0 OR GE 8 Q.N2. (R.B., P.11) SOME PEOPLE THINK THE GOVERNMENT SHOULD PROVIDE FEWER SERVICES, EVEN IN AREAS SUCH AS HEALTH AND EDUCATION, IN ORDER TO REDUCE SPENDING. SUPPOSE THESE PEOPLE ARE AT ONE END OF THE SCALE AT POINT NUMBER 1. OTHER PEOPLE FEEL IT IS IMPORTANT FOR THE GOVERNMENT TO PROVIDE MANY MORE SERVICES EVEN IF IT MEANS AN INCREASE IN SPENDING. SUPPOSE THESE PEOPLE ARE AT THE OTHER END, AT POINT 7. AND, OF COURSE, SOME OTHER PEOPLE HAVE OPINIONS SOMEWHERE IN BETWEEN AT POINTS 2, 3, 4, 5, OR 6. Q.N2A. WHERE WOULD YOU PLACE YOURSELF ON THIS SCALE, OR HAVEN'T YOU THOUGHT MUCH ABOUT THIS? ------------------------------------------------------------ 124 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 210 2. 292 3. 582 4. 322 5. 172 6. 164 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 30 8. DK 28 9. NA 333 0. HAVEN'T THOUGHT MUCH ============================== VAR 840376 NAME-GOVT SERVICES-REAGAN COLUMNS 715 - 715 NUMERIC MD=0 OR GE 8 Q.N2B. WHERE WOULD YOU PLACE RONALD REAGAN ON THIS SCALE? --------------------------------------------------------- 360 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 497 2. 365 3. 268 4. 162 5. 78 6. 51 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 83 8. DK 2 9. NA 391 0. INAP, 0, 8-9 IN 375 ============================== VAR 840377 NAME-GOVT SERVICES-MONDALE COLUMNS 716 - 716 NUMERIC MD=0 OR GE 8 Q.N2C. (WHERE WOULD YOU PLACE) WALTER MONDALE (ON THIS SCALE)? ------------------------------------------------------ 37 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 58 2. 129 3. 322 4. 453 5. 438 6. 230 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 195 8. DK 4 9. NA 391 0. INAP, 0, 8-9 IN 375 ============================== VAR 840378 NAME-GOVT SERVICES-DEM PARTY COLUMNS 717 - 717 NUMERIC MD=0 OR GE 8 Q.N2D.(WHERE WOULD YOU PLACE) THE DEMOCRATIC PARTY? ------------------------------------------------------------ 36 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 56 2. 120 3. 326 4. 448 5. 438 6. 261 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 178 8. DK 3 9. NA 391 0. INAP, 0, 8-9 IN 375 ============================== VAR 840379 NAME-GOVT SERVICES-REP PARTY COLUMNS 718 - 718 NUMERIC MD=0 OR GE 8 Q.N2E. (WHERE WOULD YOU PLACE) THE REPUBLICAN PARTY? --------------------------------------------------------- 220 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 451 2. 413 3. 327 4. 178 5. 77 6. 29 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 165 8. DK 6 9. NA 391 0. INAP, 0, 8-9 IN 375 ============================== VAR 840380 NAME-GOVT SERVICES-FED GOVT COLUMNS 719 - 719 NUMERIC MD=0 OR GE 8 Q.N2Z. WHERE WOULD YOU PLACE WHAT THE FEDERAL GOVERNMENT IS DOING AT THE PRESENT TIME? ----------------------------------------------------------- 164 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 256 2. 453 3. 453 4. 235 5. 120 6. 58 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 120 8. DK 7 9. NA 391 0. INAP, 0, 8-9 IN 375 ============================== VAR 840381 NAME-IMP FED GOVT SERVS COLUMNS 720 - 720 NUMERIC MD=0 OR GE 8 Q.N3. HOW IMPORTANT IS IT TO YOU THAT THE FEDERAL GOVERNMENT DO WHAT YOU THINK IS BEST ON THIS ISSUE OF SPENDING AND SERVICES? IS IT EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, OR NOT IMPORTANT AT ALL TO YOU? --------------------------------------------------------- 456 1. EXTREMELY IMPORTANT 719 2. VERY IMPORTANT 621 4. SOMEWHAT IMPORTANT 47 5. NOT IMPORTANT AT ALL 20 8. DK 3 9. NA 391 0. INAP, 0, 8-9 IN 375 ============================== VAR 840382 NAME-MINORITY AID SCALE-R COLUMNS 721 - 721 NUMERIC MD=0 OR GE 8 Q.N4. (R.B., P.12) SOME PEOPLE FEEL THAT THE GOVERNMENT IN WASHINGTON SHOULD MAKE EVERY EFFORT TO IMPROVE THE SOCIAL AND ECONOMIC POSITION OF BLACKS AND OTHER MINORITY GROUPS. (SUPPOSE THESE PEOPLE ARE AT ONE END OF THE SCALE AT POINT NUMBER 1.) OTHERS FEEL THAT THE GOVERNMENT SHOULD NOT MAKE ANY SPECIAL EFFORT TO HELP MINORITIES BECAUSE THEY SHOULD HELP THEMSELVES. (SUPPOSE THESE PEOPLE ARE AT THE OTHER END AT POINT 7. AND OF COURSE, SOME OTHER PEOPLE HAVE OPINIONS SOMEWHERE IN BETWEEN AT POINTS 2, 3, 4, 5, OR 6.) N4A. WHERE WOULD YOU PLACE YOURSELF ON THIS SCALE OR HAVEN'T YOU THOUGHT MUCH ABOUT THIS? ------------------------------------------------------------ 180 1. GOVERNMENT SHOULD HELP MINORITY GROUPS 149 2. 289 3. 597 4. 352 5. 199 6. 178 7. MINORITY GROUPS SHOULD HELP THEMSELVES 24 8. DK 26 9. NA 263 0. HAVEN'T THOUGHT MUCH ============================== VAR 840383 NAME-MINORITY AID SCALE-RGN COLUMNS 722 - 722 NUMERIC MD=0 OR GE 8 Q.N4B. WHERE WOULD YOU PLACE RONALD REAGAN ON THIS SCALE? --------------------------------------------------------- 70 1. GOVERNMENT SHOULD HELP MINORITY GROUPS 120 2. 264 3. 395 4. 403 5. 324 6. 227 7. MINORITY GROUPS SHOULD HELP THEMSELVES 141 8. DK 9. NA 313 0. INAP, 0, 8-9 IN 382 ============================== VAR 840384 NAME-MINORITY AID SCALE-MNDLE COLUMNS 723 - 723 NUMERIC MD=0 OR GE 8 Q.N4C. (WHERE WOULD YOU PLACE) WALTER MONDALE (ON THIS SCALE)? ------------------------------------------------------ 231 1. GOVERNMENT SHOULD HELP MINORITY GROUPS 378 2. 422 3. 368 4. 167 5. 85 6. 50 7. MINORITY GROUPS SHOULD HELP THEMSELVES 243 8. DK 9. NA 313 0. INAP, 0, 8-9 IN 382 ============================== VAR 840385 NAME-MINORTY AID SCL-DEM PRTY COLUMNS 724 - 724 NUMERIC MD=0 OR GE 8 Q.N4D. (WHERE WOULD YOU PLACE) THE DEMOCRATIC PARTY? -------------------------------------------------------- 221 1. GOVERNMENT SHOULD HELP MINORITY GROUPS 398 2. 439 3. 361 4. 153 5. 76 6. 57 7. MINORITY GROUPS SHOULD HELP THEMSELVES 236 8. DK 3 9. NA 313 0. INAP, 0, 8-9 IN 382 ============================== VAR 840386 NAME-MINORTY AID SCL-REP PRTY COLUMNS 725 - 725 NUMERIC MD=0 OR GE 8 Q.N4E. (WHERE WOULD YOU PLACE) THE REPUBLICAN PARTY? -------------------------------------------------------- 52 1. GOVERNMENT SHOULD HELP MINORITY GROUPS 113 2. 242 3. 393 4. 417 5. 320 6. 174 7. MINORITY GROUPS SHOULD HELP THEMSELVES 231 8. DK 2 9. NA 313 0. INAP, 0, 8-9 IN 382 ============================== VAR 840387 NAME-MINORTY AID SCL-FED GVT COLUMNS 726 - 726 NUMERIC MD=0 OR GE 8 Q.N4Z. WHERE WOULD YOU PLACE WHAT THE FEDERAL GOVERNMENT IS DOING AT THE PRESENT TIME? ----------------------------------------------------------- 99 1. GOVERNMENT SHOULD HELP MINORITY GROUPS 206 2. 360 3. 518 4. 354 5. 174 6. 83 7. MINORITY GROUPS SHOULD HELP THEMSELVES 148 8. DK 2 9. NA 313 0. INAP, 0, 8-9 IN 382 ============================== VAR 840388 NAME-US INVOLV CNTRL AMER-R COLUMNS 727 - 727 NUMERIC MD=0 OR GE 8 Q.N5. (R.B., P.13) SOME PEOPLE THINK THAT THE UNITED STATES SHOULD BECOME MUCH MORE INVOLVED IN THE INTERNAL AFFAIRS OF CENTRAL AMERICAN COUNTRIES. OTHERS BELIEVE THAT THE U.S. SHOULD BECOME MUCH LESS INVOLVED IN THIS AREA. Q.N5A. WHERE WOULD YOU PLACE YOURSELF ON THIS SCALE, OR HAVEN'T YOU THOUGHT MUCH ABOUT THIS? ---------------------------------------------------------- 104 1. U.S. SHOULD BECOME MUCH MORE INVOLVED IN INTERNAL AFFAIRS OF CENTRAL AMERICA 123 2. 197 3. 344 4. 303 5. 304 6. 321 7. U.S. SHOULD BECOME MUCH LESS INVOLVED 67 8. DK 27 9. NA 467 0. HAVEN'T THOUGHT MUCH ============================== VAR 840389 NAME-US-CNTRL AMER SCALE-RGN COLUMNS 728 - 728 NUMERIC MD=0 OR GE 8 Q.N5B. WHERE WOULD YOU PLACE RONALD REAGAN ON THIS SCALE? --------------------------------------------------------- 356 1. U.S. SHOULD BECOME MUCH MORE INVOLVED IN INTERNAL AFFAIRS OF CENTRAL AMERICA 454 2. 363 3. 174 4. 117 5. 89 6. 60 7. U.S. SHOULD BECOME MUCH LESS INVOLVED 82 8. DK 1 9. NA 561 0. INAP, 0, 8-9 IN 388 ============================== VAR 840390 NAME-US-CNTRL AMER SCALE-MNDL COLUMNS 729 - 729 NUMERIC MD=0 OR GE 8 Q.N5C. (WHERE WOULD YOU PLACE) WALTER MONDALE (ON THIS SCALE)? ------------------------------------------------------ 37 1. U.S. SHOULD BECOME MUCH MORE INVOLVED IN INTERNAL AFFAIRS OF CENTRAL AMERICA 96 2. 214 3. 366 4. 325 5. 244 6. 123 7. U.S. SHOULD BECOME MUCH LESS INVOLVED 290 8. DK 1 9. NA 561 0. INAP, 0, 8-9 IN 388 ============================== VAR 840391 NAME-US-CNTRL AMER SCALE-DEM COLUMNS 730 - 730 NUMERIC MD=0 OR GE 8 Q.N5D. (WHERE WOULD YOU PLACE) THE DEMOCRATIC PARTY? -------------------------------------------------------- 34 1. U.S. SHOULD BECOME MUCH MORE INVOLVED IN INTERNAL AFFAIRS OF CENTRAL AMERICA 104 2. 199 3. 363 4. 364 5. 246 6. 101 7. U.S. SHOULD BECOME MUCH LESS INVOLVED 284 8. DK 1 9. NA 561 0. INAP, 0, 8-9 IN 388 ============================== VAR 840392 NAME-US-CNTRL AMER SCALE-REP COLUMNS 731 - 731 NUMERIC MD=0 OR GE 8 Q.N5E. (WHERE WOULD YOU PLACE) THE REPUBLICAN PARTY? -------------------------------------------------------- 185 1. U.S. SHOULD BECOME MUCH MORE INVOLVED IN INTERNAL AFFAIRS OF CENTRAL AMERICA 394 2. 390 3. 254 4. 139 5. 81 6. 44 7. U.S. SHOULD BECOME MUCH LESS INVOLVED 208 8. DK 1 9. NA 561 0. INAP, 0, 8-9 IN 388 ============================== VAR 840393 NAME-US-CNTRL AMER SCALE-FED COLUMNS 732 - 732 NUMERIC MD=0 OR GE 8 Q.N5Z. WHERE WOULD YOU PLACE WHAT THE FEDERAL GOVERNMENT IS DOING AT THE PRESENT TIME? ----------------------------------------------------------- 223 1. U.S. SHOULD BECOME MUCH MORE INVOLVED IN INTERNAL AFFAIRS OF CENTRAL AMERICA 370 2. 422 3. 308 4. 137 5. 67 6. 40 7. U.S. SHOULD BECOME MUCH LESS INVOLVED 127 8. DK 2 9. NA 561 0. INAP, 0, 8-9 IN 388 ============================== VAR 840394 NAME-IMP FED GVT CNTRL AMER COLUMNS 733 - 733 NUMERIC MD=0 OR GE 8 Q.N6. HOW IMPORTANT IS IT TO YOU THAT THE FEDERAL GOVERNMENT DO WHAT YOU THINK IS BEST ON THIS ISSUE OF INVOLVEMENT IN CENTRAL AMERICAN COUNTRIES? IS IT EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, OR NOT IMPORTANT AT ALL TO YOU? ----------------------------------------------------------- 311 1. EXTREMELY IMPORTANT 558 2. VERY IMPORTANT 685 4. SOMEWHAT IMPORTANT 111 5. NOT IMPORTANT AT ALL 29 8. DK 2 9. NA 561 0. INAP, 0, 8-9 IN 388 ============================== VAR 840395 NAME-DEFENSE SCALE-R COLUMNS 734 - 734 NUMERIC MD=0 OR GE 8 Q.N7. (R.B., P. 14) SOME PEOPLE BELIEVE THAT WE SHOULD SPEND MUCH LESS MONEY FOR DEFENSE. OTHERS FEEL THAT DEFENSE SPENDING SHOULD BE GREATLY INCREASED. Q.N7A. WHERE WOULD YOU PLACE YOURSELF ON THIS SCALE, OR HAVEN'T YOU THOUGHT MUCH ABOUT THIS? ----------------------------------------------------------- 184 1. GREATLY DECREASE DEFENSE SPENDING 197 2. 242 3. 621 4. 353 5. 191 6. 145 7. GREATLY INCREASE DEFENSE SPENDING 37 8. DON'T KNOW 29 9. NA 258 0. HAVEN'T THOUGHT MUCH ============================== VAR 840396 NAME-DEFENSE SCALE-REAGAN COLUMNS 735 - 735 NUMERIC MD=0 OR GE 8 Q.N7B. WHERE WOULD YOU PLACE RONALD REAGAN ON THIS SCALE? --------------------------------------------------------- 45 1. GREATLY DECREASE DEFENSE SPENDING 45 2. 58 3. 131 4. 353 5. 642 6. 581 7. GREATLY INCREASE DEFENSE SPENDING 75 8. DON'T KNOW 3 9. NA 324 0. INAP, 0, 8-9 IN 395 ============================== VAR 840397 NAME-DEFENSE SCALE-MONDLE COLUMNS 736 - 736 NUMERIC MD=0 OR GE 8 Q.N7C. (WHERE WOULD YOU PLACE) WALTER MONDALE (ON THIS SCALE)? ------------------------------------------------------ 141 1. GREATLY DECREASE DEFENSE SPENDING 352 2. 442 3. 419 4. 223 5. 86 6. 44 7. GREATLY INCREASE DEFENSE SPENDING 222 8. DON'T KNOW 4 9. NA 324 0. INAP, 0, 8-9 IN 395 ============================== VAR 840398 NAME-DEFENSE SCALE-DEM PARTY COLUMNS 737 - 737 NUMERIC MD=0 OR GE 8 Q.N7D. (WHERE WOULD YOU PLACE) THE DEMOCRATIC PARTY? --------------------------------------------------------- 137 1. GREATLY DECREASE DEFENSE SPENDING 300 2. 458 3. 447 4. 214 5. 92 6. 41 7. GREATLY INCREASE DEFENSE SPENDING 238 8. DON'T KNOW 6 9. NA 324 0. INAP, 0, 8-9 IN 395 ============================== VAR 840399 NAME-DEFENSE SCALE-REP PARTY COLUMNS 738 - 738 NUMERIC MD=0 OR GE 8 Q.N7E. (WHERE WOULD YOU PLACE) THE REPUBLICAN PARTY? -------------------------------------------------------- 28 1. GREATLY DECREASE DEFENSE SPENDING 51 2. 70 3. 213 4. 513 5. 548 6. 307 7. GREATLY INCREASE DEFENSE SPENDING 197 8. DON'T KNOW 6 9. NA 324 0. INAP, 0, 8-9 IN 395 ============================== VAR 840400 NAME-DEFENSE SCALE-FED GOVT COLUMNS 739 - 739 NUMERIC MD=0 OR GE 8 Q.N7Z. WHERE WOULD YOU PLACE WHAT THE FEDERAL GOVERNMENT IS DOING AT THE PRESENT TIME? ----------------------------------------------------------- 31 1. GREATLY DECREASE DEFENSE SPENDING 40 2. 93 3. 304 4. 580 5. 516 6. 243 7. GREATLY INCREASE DEFENSE SPENDING 121 8. DON'T KNOW 5 9. NA 324 0. INAP, 0, 8-9 IN 395 ============================== VAR 840401 NAME-SOC/ECON STATUS WOMEN-R COLUMNS 740 - 740 NUMERIC MD=0 OR GE 8 Q.N8. (R.B., P.15) SOME PEOPLE FEEL THAT THE GOVERNMENT IN WASHINGTON SHOULD MAKE EVERY EFFORT TO IMPROVE THE SOCIAL AND ECONOMIC POSITION OF WOMEN. OTHERS FEEL THAT THE GOVERNMENT SHOULD NOT MAKE ANY SPECIAL EFFORT TO HELP WOMEN BECAUSE THEY SHOULD HELP THEMSELVES. Q.N8A. WHERE WOULD YOU PLACE YOURSELF ON THIS SCALE, OR HAVEN'T YOU THOUGHT MUCH ABOUT THIS? ----------------------------------------------------------- 228 1. GOVERNMENT SHOULD HELP WOMEN 206 2. 285 3. 567 4. 270 5. 173 6. 143 7. WOMEN SHOULD HELP THEMSELVES 29 8. DON'T KNOW 32 9. NA 324 0. HAVEN'T THOUGHT MUCH ============================== VAR 840402 NAME-SOC/ECON STATUS WMN-RGN COLUMNS 741 - 741 NUMERIC MD=0 OR GE 8 Q.N8B. WHERE WOULD YOU PLACE RONALD REAGAN ON THIS SCALE? --------------------------------------------------------- 48 1. GOVERNMENT SHOULD HELP WOMEN 75 2. 231 3. 473 4. 402 5. 295 6. 191 7. WOMEN SHOULD HELP THEMSELVES 153 8. DON'T KNOW 4 9. NA 385 0. INAP, 0, 8-9 IN 401 ============================== VAR 840403 NAME-SOC/ECON STATUS WMN-MNDL COLUMNS 742 - 742 NUMERIC MD=0 OR GE 8 Q.N8C. (WHERE WOULD YOU PLACE) WALTER MONDALE (ON THIS SCALE)? ------------------------------------------------------ 250 1. GOVERNMENT SHOULD HELP WOMEN 355 2. 426 3. 331 4. 158 5. 76 6. 54 7. WOMEN SHOULD HELP THEMSELVES 220 8. DON'T KNOW 2 9. NA 385 0. INAP, 0, 8-9 IN 401 ============================== VAR 840404 NAME-SOC/ECON STATUS WMN-DEM COLUMNS 743 - 743 NUMERIC MD=0 OR GE 8 Q.N8D. (WHERE WOULD YOU PLACE) THE DEMOCRATIC PARTY? --------------------------------------------------------- 179 1. GOVERNMENT SHOULD HELP WOMEN 338 2. 422 3. 396 4. 163 5. 68 6. 41 7. WOMEN SHOULD HELP THEMSELVES 262 8. DON'T KNOW 3 9. NA 385 0. INAP, 0, 8-9 IN 401 ============================== VAR 840405 NAME-SOC/ECON STATUS WMN-REP COLUMNS 744 - 744 NUMERIC MD=0 OR GE 8 Q.N8E. (WHERE WOULD YOU PLACE) THE REPUBLICAN PARTY? -------------------------------------------------------- 42 1. GOVERNMENT SHOULD HELP WOMEN 79 2. 192 3. 506 4. 399 5. 265 6. 130 7. WOMEN SHOULD HELP THEMSELVES 255 8. DON'T KNOW 4 9. NA 385 0. INAP, 0, 8-9 IN 401 ============================== VAR 840406 NAME-SOC/ECON STATUS WMN-FED COLUMNS 745 - 745 NUMERIC MD=0 OR GE 8 Q.N8Z. WHERE WOULD YOU PLACE WHAT THE FEDERAL GOVERNMENT IS DOING AT THE PRESENT TIME? ----------------------------------------------------------- 41 1. GOVERNMENT SHOULD HELP WOMEN 95 2. 282 3. 660 4. 326 5. 174 6. 100 7. WOMEN SHOULD HELP THEMSELVES 191 8. DON'T KNOW 3 9. NA 385 0. INAP, 0, 8-9 IN 401 ============================== VAR 840407 NAME-IMP FED GVT SOC/ECON WMN COLUMNS 746 - 746 NUMERIC MD=0 OR GE 8 Q.N9. HOW IMPORTANT IS IT TO YOU THAT THE FEDERAL GOVERNMENT DO WHAT YOU THINK IS BEST ON THIS ISSUE OF WOMEN'S ECONOMIC AND SOCIAL POSITION? IS IT EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, OR NOT IMPORTANT AT ALL TO YOU? ------------------------------------------------------- 255 1. EXTREMELY IMPORTANT 512 2. VERY IMPORTANT 861 4. SOMEWHAT IMPORTANT 208 5. NOT IMPORTANT AT ALL 32 8. DON'T KNOW 4 9. NA 385 0. INAP, 0, 8-9 IN 401 ============================== VAR 840408 NAME-RUSSIA SCALE-R COLUMNS 747 - 747 NUMERIC MD=0 OR GE 8 Q.N10. (R.B., P. 16) SOME PEOPLE FEEL IT IS IMPORTANT FOR US TO TRY TO COOPERATE MORE WITH RUSSIA, WHILE OTHERS BELIEVE WE SHOULD BE MUCH TOUGHER IN OUR DEALINGS WITH RUSSIA. Q.N10A. WHERE WOULD YOU PLACE YOURSELF ON THIS SCALE, OR HAVEN'T YOU THOUGHT MUCH ABOUT THIS? ------------------------------------------------------------ 232 1. TRY TO COOPERATE MORE WITH RUSSIA 180 2. 246 3. 414 4. 326 5. 225 6. 241 7. GET MUCH TOUGHER WITH RUSSIA 65 8. DK 35 9. NA 293 0. HAVEN'T THOUGHT MUCH ============================== VAR 840409 NAME-RUSSIA SCALE-REAGAN COLUMNS 748 - 748 NUMERIC MD=0 OR GE 8 Q.N10B. WHERE WOULD YOU PLACE RONALD REAGAN ON THIS SCALE? ----------------------------------------------------------- 73 1. TRY TO COOPERATE MORE WITH RUSSIA 81 2. 147 3. 264 4. 443 5. 460 6. 303 7. GET MUCH TOUGHER WITH RUSSIA 91 8. DK 2 9. NA 393 0. INAP, 0, 8-9 IN 408 ============================== VAR 840410 NAME-RUSSIA SCALE-MONDLE COLUMNS 749 - 749 NUMERIC MD=0 OR GE 8 Q.N10C. (WHERE WOULD YOU PLACE) WALTER MONDALE (ON THIS SCALE)? -------------------------------------------------------- 191 1. TRY TO COOPERATE MORE WITH RUSSIA 277 2. 407 3. 447 4. 163 5. 78 6. 44 7. GET MUCH TOUGHER WITH RUSSIA 254 8. DK 3 9. NA 393 0. INAP, 0, 8-9 IN 408 ============================== VAR 840411 NAME-RUSSIA SCALE-DEM PARTY COLUMNS 750 - 750 NUMERIC MD=0 OR GE 8 Q.N10D. (WHERE WOULD YOU PLACE) THE DEMOCRATIC PARTY? ---------------------------------------------------------- 141 1. TRY TO COOPERATE MORE WITH RUSSIA 270 2. 423 3. 464 4. 181 5. 77 6. 40 7. GET MUCH TOUGHER WITH RUSSIA 264 8. DK 4 9. NA 393 0. INAP, 0, 8-9 IN 408 ============================== VAR 840412 NAME-RUSSIA SCALE-REP PARTY COLUMNS 751 - 751 NUMERIC MD=0 OR GE 8 Q.N10E. (WHERE WOULD YOU PLACE) THE REPUBLICAN PARTY? ---------------------------------------------------------- 47 1. TRY TO COOPERATE MORE WITH RUSSIA 78 2. 133 3. 382 4. 462 5. 370 6. 172 7. GET MUCH TOUGHER WITH RUSSIA 216 8. DK 4 9. NA 393 0. INAP, 0, 8-9 IN 408 ============================== VAR 840413 NAME-RUSSIA SCALE-FED GOVT COLUMNS 752 - 752 NUMERIC MD=0 OR GE 8 Q.N10Z. WHERE WOULD YOU PLACE WHAT THE FEDERAL GOVERNMENT IS DOING AT THE PRESENT TIME? ---------------------------------------------------------- 57 1. TRY TO COOPERATE MORE WITH RUSSIA 79 2. 183 3. 501 4. 463 5. 298 6. 132 7. GET MUCH TOUGHER WITH RUSSIA 148 8. DK 3 9. NA 393 0. INAP, 0, 8-9 IN 408 ============================== VAR 840414 NAME-GUAR JOB+LIVING STAND-R COLUMNS 753 - 753 NUMERIC MD=0 OR GE 8 Q.N11. (R.B., P.17) SOME PEOPLE FEEL THE GOVERNMENT IN WASHINGTON SHOULD SEE TO IT THAT EVERY PERSON HAS A JOB AND A GOOD STANDARD OF LIVING. OTHERS THINK THE GOVERNMENT SHOULD JUST LET EACH PERSON GET AHEAD ON HIS OWN. Q.N11A. WHERE WOULD YOU PLACE YOURSELF ON THIS SCALE, OR HAVEN'T YOU THOUGHT MUCH ABOUT THIS? ----------------------------------------------------------- 230 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 162 2. 250 3. 435 4. 362 5. 282 6. 197 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 40 8. DK 33 9. NA 266 0. HAVEN'T THOUGHT MUCH ============================== VAR 840415 NAME-GUARAN JOB+LIVING-REAGAN COLUMNS 754 - 754 NUMERIC MD=0 OR GE 8 Q.N11B. WHERE WOULD YOU PLACE RONALD REAGAN ON THIS SCALE? ----------------------------------------------------------- 43 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 82 2. 150 3. 336 4. 442 5. 412 6. 321 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 128 8. DK 4 9. NA 339 0. INAP, 0, 8-9 IN 414 ============================== VAR 840416 NAME-GUAR JOB+LIVING-MONDALE COLUMNS 755 - 755 NUMERIC MD=0 OR GE 8 Q.N11C. (WHERE WOULD YOU PLACE) WALTER MONDALE (ON THIS SCALE)? -------------------------------------------------------- 157 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 354 2. 437 3. 441 4. 184 5. 75 6. 25 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 241 8. DK 4 9. NA 339 0. INAP, 0, 8-9 IN 414 ============================== VAR 840417 NAME-GUAR JOB+LIVING-DEM PTY COLUMNS 756 - 756 NUMERIC MD=0 OR GE 8 Q.N11D. (WHERE WOULD YOU PLACE) THE DEMOCRATIC PARTY? ---------------------------------------------------------- 153 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 339 2. 456 3. 450 4. 167 5. 73 6. 29 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 246 8. DK 5 9. NA 339 0. INAP, 0, 8-9 IN 414 ============================== VAR 840418 NAME-GUAR JOB+LIVING-REP PTY COLUMNS 757 - 757 NUMERIC MD=0 OR GE 8 Q.N11E. (WHERE WOULD YOU PLACE) THE REPUBLICAN PARTY? ---------------------------------------------------------- 33 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 83 2. 150 3. 379 4. 475 5. 389 6. 172 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 231 8. DK 6 9. NA 339 0. INAP, 0, 8-9 IN 414 ============================== VAR 840419 NAME-GUAR JOB+LIVING-FED COLUMNS 758 - 758 NUMERIC MD=0 OR GE 8 Q.N11Z. WHERE WOULD YOU PLACE WHAT THE FEDERAL GOVERNMENT IS DOING AT THE PRESENT TIME? ---------------------------------------------------------- 40 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 83 2. 218 3. 571 4. 447 5. 232 6. 148 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 172 8. DK 7 9. NA 339 0. INAP, 0, 8-9 IN 414 ============================== VAR 840420 NAME-IMP FED POL JOB+LIVING COLUMNS 759 - 759 NUMERIC MD=0 OR GE 8 Q.N12. HOW IMPORTANT IS IT TO YOU THAT THE FEDERAL GOVERNMENT DO WHAT YOU THINK IS BEST ON THIS ISSUE OF JOBS AND STANDARD OF LIVING? IS IT EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, OR NOT IMPORTANT ALL TO YOU? ----------------------------------------------------------- 376 1. EXTREMELY IMPORTANT 733 2. VERY IMPORTANT 682 4. SOMEWHAT IMPORTANT 93 5. NOT IMPORTANT AT ALL 27 8. DK 7 9. NA 339 0. INAP, 0, 8-9 IN 414 ============================== VAR 840421 NAME-IS R POL INDEPENDENT COLUMNS 760 - 760 NUMERIC MD=GE 8 Q.N13. DO YOU EVER THINK OF YOURSELF AS A POLITICAL INDEPENDENT, OR NOT? --------------------------------------------------- 927 1. YES 1184 5. NO 109 8. DK 37 9. NA ============================== VAR 840422 NAME-IS R STR POL INDEPENDENT COLUMNS 761 - 761 NUMERIC MD=0 OR GE 8 Q.N13A. (R.B., P.18) ON THIS SCALE FROM 1 TO 7 (WHERE 1 MEANS "NOT VERY STRONGLY," AND 7 MEANS "VERY STRONGLY"), PLEASE CHOOSE THE NUMBER THAT DESCRIBES HOW STRONGLY INDEPENDENT IN POLITICS YOU FEEL. -------------------------------------------------------- 30 1. NOT VERY STRONGLY 48 2. 74 3. 198 4. 219 5. 156 6. 196 7. VERY STRONGLY 5 8. DK 1 9. NA 1330 0. INAP, 5, 8-9 IN 421 ============================== VAR 840423 NAME-R'S OPINION ON ABORTION COLUMNS 762 - 762 NUMERIC MD=GE 8 Q.N14. (R.B., P.19) THERE HAS BEEN SOME DISCUSSION ABOUT ABORTION DURING RECENT YEARS. WHICH ONE OF THE OPINIONS ON THIS PAGE BEST AGREES WITH YOUR VIEW? YOU CAN JUST TELL ME THE NUMBER OF THE OPINION YOU CHOOSE. ----------------------------------------------------------- 288 1. BY LAW, ABORTION SHOULD NEVER BE PERMITTED. 658 2. THE LAW SHOULD PERMIT ABORTION ONLY IN CASE OF RAPE, INCEST OR WHEN THE WOMAN'S LIFE IS IN DANGER. 434 3. THE LAW SHOULD PERMIT ABORTION FOR REASONS OTHER THAN RAPE, INCEST OR DANGER TO THE WOMAN'S LIFE, BUT ONLY AFTER THE NEED FOR THE ABORTION HAS BEEN CLEARLY ESTABLISHED. 791 4. BY LAW, A WOMAN SHOULD ALWAYS BE ABLE TO OBTAIN AN ABORTION AS A MATTER OF PERSONAL CHOICE. 18 7. OTHER, SPECIFY 48 8. DK 20 9. NA ============================== VAR 840424 NAME-WILL R VOTE IN NOVEMBER COLUMNS 763 - 763 NUMERIC MD=GE 8 Q.R1. SO FAR AS YOU KNOW NOW, DO YOU EXPECT TO VOTE IN THE NATIONAL ELECTIONS THIS COMING NOVEMBER OR NOT? ----------------------------------------------------------- 1837 1. YES, WILL VOTE 349 5. NO, WILL NOT VOTE 59 8. DK 12 9. NA ============================== VAR 840425 NAME-WHO WILL R VOTE FOR-PRES COLUMNS 764 - 764 NUMERIC MD=0 OR GE 8 Q.R1A. WHO DO YOU THINK YOU WILL VOTE FOR IN THE ELECTION FOR PRESIDENT (PROBE: WE ALL KNOW THE ELECTION IS SOMETIME AWAY AND THAT PEOPLE ARE NOT CERTAIN AT THIS POINT WHO THEY WILL VOTE FOR. STILL, WHO DO YOU THINK YOU WILL VOTE FOR IN THE ELECTION FOR PRESIDENT?) Q.R1C. IF YOU WERE GOING TO VOTE--WHO DO YOU THINK YOU WOULD VOTE FOR IN THE ELECTION FOR PRESIDENT? (PROBE: WE ALL KNOW THAT PEOPLE ARE NOT CERTAIN AT THIS POINT WHO THEY MIGHT VOTE FOR. STILL, WHO DO YOU THINK YOU WOULD VOTE FOR IN THE ELECTION FOR PRESIDENT?) ------------------------------------------------------------ 814 1. WALTER MONDALE 1136 5. RONALD REAGAN 25 7. OTHER, SPECIFY 236 8. DK 34 9. NA 12 0. INAP, 9 IN 424 ============================== VAR 840426 NAME-STRENGTH,R'S PREF F PRES COLUMNS 765 - 765 NUMERIC MD=0 OR GE 8 Q.R1B. WOULD YOU SAY THAT YOUR PREFERENCE FOR THIS CANDIDATE IS STRONG OR NOT STRONG? Q.R1D. WOULD YOU SAY THAT YOUR PREFERENCE FOR THIS CANDIDATE IS STRONG OR NOT STRONG? ------------------------------------------------------------ 1427 1. STRONG 525 5. NOT STRONG 17 8. DK 6 9. NA 282 0. INAP, 9 IN 424; 8-9 IN 425 ============================== VAR 840427 NAME-DATE OF BIRTH-MONTH COLUMNS 766 - 767 NUMERIC MD=GE 99 Q.Y1. WHAT IS THE MONTH, DAY AND YEAR OF YOUR BIRTH? Q.Y1A. MONTH ----------------------------------------------------- 222 01. JANUARY 181 02. FEBRUARY 188 03. MARCH 172 04. APRIL 192 05. MAY 181 06. JUNE 195 07. JULY 185 08. AUGUST 225 09. SEPTEMBER 183 10. OCTOBER 167 11. NOVEMBER 146 12. DECEMBER 20 99. NA ============================== VAR 840428 NAME-DATE OF BIRTH-YEAR COLUMNS 768 - 771 NUMERIC MD=GE 9998 Q.Y1C. YEAR ----------- ACTUAL YEAR IS CODED 9998. DK 9999. NA ============================== VAR 840429 NAME-RECODED AGE COLUMNS 772 - 773 NUMERIC MD=0 Q.Y1X. RECODED AGE ------------------ BUILT FROM 427 AND 428--NOT ENTERED. MONTH AND YEAR OF R'S BIRTH SUBTRACTED FROM MONTH AND YEAR OF INTERVIEW: 17. SEVENTEEN YEARS . . 98. NINETY-EIGHT YEARS 99. 99 YEARS OR OLDER 00. NA; 9999 IN 428 ============================== VAR 840430 NAME-MARITAL STATUS COLUMNS 774 - 774 NUMERIC MD=GE 9 Q.Y2. ARE YOU MARRIED NOW AND LIVING WITH YOUR (HUSBAND/WIFE) -- OR ARE YOU WIDOWED, DIVORCED, SEPARATED, OR HAVE YOU NEVER MARRIED? ---------------------------------------------------------- 1272 1. MARRIED AND LIVING WITH SPOUSE (OR SPOUSE IN SERVICE) 357 2. NEVER MARRIED 244 3. DIVORCED 69 4. SEPARATED 254 5. WIDOWED 43 7. PARTNERS; NOT MARRIED 18 9. NA ============================== VAR 840431 NAME-R'S EDUCATION COLUMNS 775 - 776 NUMERIC MD=GE 98 Q.Y3. WHAT IS THE HIGHEST GRADE OF SCHOOL OR YEAR OF COLLEGE YOU HAVE COMPLETED? ----------------------------------------------------- ACTUAL GRADE CODED 00. NONE, NO GRADES COMPLETED . . . 12. TWELVE YEARS COMPLETED 13. THIRTEEN YEARS 14. FOURTEEN YEARS 15. FIFTEEN YEARS 16. SIXTEEN YEARS; FOUR YEARS OF COLLEGE COMPLETED 17. SEVENTEEN YEARS OR MORE 98. DK 99. NA ============================== VAR 840432 NAME-R'S EDITED GRADE COLUMNS 777 - 778 NUMERIC MD=GE 98 Q.Y3(1). WHAT IS THE HIGHEST GRADE OF SCHOOL OR YEAR OF COLLEGE YOU HAVE COMPLETED? ------------------------------------------------------- EDITED GRADE IS COMPARABLE TO PAST NES MEASURES OF EDUCATION. Q.Y3(1) IS AN EDITED VERSION OF Q.Y3. INDIVIDUALS WHO ARE CODED 12 IN Q.Y3 BUT WHO HAVE ATTENDED A 2 OR 4 YEAR COLLEGE FOR LESS THAN 1 YEAR ARE CODED 13 IN Q.Y3(1). INDIVIDUALS WHO ARE CODED 13-15 IN Q.Y3 BUT WHO LIST ONLY NON-ACADEMIC TRAINING ARE CODED 12 IN Q.Y3(1). ACTUAL GRADE CODED 00. NONE, NO GRADES COMPLETED . . . 12. TWELVE YEARS COMPLETED; Q.Y3A ANSWERED "YES" 13. THIRTEEN YEARS 14. FOURTEEN YEARS 15. FIFTEEN YEARS 16. SIXTEEN YEARS; FOUR YEARS OF COLLEGE COMPLETED 17. SEVENTEEN YEARS OR MORE 98. DK 99. NA ============================== VAR 840433 NAME-R'S HI SCHL DIP/EQ COLUMNS 779 - 779 NUMERIC MD=0 OR GE 8 Q.Y3A. DID YOU GET A HIGH SCHOOL DIPLOMA OR PASS A HIGH SCHOOL EQUIVALENCY TEST? ------------------------------------------------------- 801 1. YES 514 5. NO 8. DK 9. NA 942 0. INAP, 13-17, 98-99 IN 432 ============================== VAR 840434 NAME-R'S OTHER SCHOOLING COLUMNS 780 - 780 NUMERIC MD=0 OR GE 9 Q.Y3G. HAVE YOU HAD ANY OTHER SCHOOLING? Q.Y3H. WHAT KIND? ---------------------------------------- "OTHER SCHOOLING" NORMALLY MEANS NON-ACADEMIC VOCATIONAL AND TECHNICAL TRAINING PROGRAMS WHICH DO NOT GRANT ACADEMIC DEGREES. FOR EXAMPLE: BUSINESS SCHOOL, NURSES' TRAINING IN HOSPITALS, ARMED SERVICE TRAINING PROGRAMS, ETC. 464 1. YES 847 5. NO 4 9. NA 942 0. INAP, 13-17, 98-99 IN 432; 8-9 IN 433 ============================== VAR 840435 NAME-R HAVE COL DEGREE? COLUMNS 781 - 781 NUMERIC MD=0 OR GE 9 Q.Y3B. DO YOU HAVE A COLLEGE DEGREE? ------------------------------------ 379 1. YES 78 2. YES, ASSOCIATES DEGREE 476 5. NO 9. NA 1324 0. INAP, 00-12, 98-99 IN 432 ============================== VAR 840436 NAME-R'S HIGHEST DEGREE? COLUMNS 782 - 782 NUMERIC MD=0 OR GE 8 Q.Y3E. WHAT IS THE HIGHEST DEGREE THAT YOU HAVE EARNED? ------------------------------------------------------- 253 1. BACHELOR'S DEGREE: BS, BA, AB, AB IN TH, B ARCH, BCH E, BCL, BCS, BE, B ED, BFA, BJ, B LIT, BSA, BSC, BSED, BSES, BS, IN CE, BS IN CHE, BS IN ED, BS IN LS, JCB, LITB, SB, STB, BD 84 2. MASTER'S DEGREE: MS, MSC, MA MAT, MBA, BDS, MED, MFA, EDM, LIM, MPH, MPA, MS IN LS, MSW, MUSM, SM, STM, MMUS, MFS, MSLS 14 3. PHD, LITD, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 10 4. LLB,JD 12 5. MD,DDS,DVM,MVS, DSC, DO (DOCTOR OF OSTEOPATHY) 6. JDC, STD, THD 78 7. ASSOCIATE DEGREE AA; CODED 2 IN 435 1 8. DK 5 9. NA 1800 0. INAP, 00-12, 98,99 IN 432; 5, 9 IN 435 ============================== VAR 840437 NAME-WHICH CLLGE DID R ATTEND COLUMNS 783 - 786 NUMERIC MD=0 OR GE 9998 Q.Y3C/D. WHAT WAS THE LAST COLLEGE YOU ATTENDED? Q.Y3F. FROM WHAT COLLEGE IS THAT AND WHERE IS IT LOCATED? --------------------------------------------------------- SEE APPENDIX NOTE 0001. . . 9997. COLLEGE GIVEN NOT IN CODE 9998. DK 9999. NA 0000. INAP, 00-12,98-99 IN 432; 9 IN 435 ============================== VAR 840438 NAME-SUMMARY:R'S EDUCATION COLUMNS 787 - 788 NUMERIC MD=GE 98 Q.Y3X. SUMMARY: R'S EDUCATION ----------------------------- BUILT FROM 432 222 01. 8 GRADES OR LESS, NO FURTHER SCHOOLING 20 02. 8 GRADES OR LESS, PLUS NON-ACADEMIC TRAINING 208 03. 9-11 GRADES, NO FURTHER SCHOOLING (INCL. 12 YEARS WITHOUT DIPLOMA OR EQUIVALENCY) 64 04. 9-11 GRADES, PLUS NON-ACADEMIC TRAINING (INCL. 12 YEARS WITHOUT DIPLOMA OR EQUIVALENCY) 421 05. HIGH SCHOOL DIPLOMA, NO FURTHER SCHOOLING 380 06. HIGH SCHOOL DIPLOMA, PLUS NON-ACADEMIC TRAINING 476 07. SOME COLLEGE; PART OF A YEAR TO 3 YEARS OR MORE, BUT NO DEGREE (INCLUDE "16" OR "17+" IF NO DEGREE), MISCELLANEOUS ACADEMIC COURSES TAKEN FOR CREDIT AT A JUNIOR/COMMUNITY COLLEGE OR A FOUR-YEAR COLLEGE, BUT NO DEGREE 78 08. JUNIOR OR COMMUNITY COLLEGE LEVEL DEGREES (AA DEGREES) 254 09. BA LEVEL DEGREES; 17+ YEARS, NO ADVANCED DEGREE 120 10. ADVANCED DEGREE, INCLUDING LLB 2 98. DK 12 99. NA ============================== VAR 840439 NAME-INTERVIEWER CHECKPOINT COLUMNS 789 - 789 NUMERIC MD=GE 9 Q.Y3J. INTERVIEWER CHECKPOINT: R'S RELATION TO HEAD ---------------------------------------------------- 768 1. R IS FAMILY HEAD; NO SPOUSE IN FAMILY 661 2. R IS FAMILY HEAD LIVING WITH SPOUSE-ASK Y3K ABOUT SPOUSE 825 3. R IS NOT FAMILY HEAD- ASK Y3K ABOUT HEAD 3 9. NA ============================== VAR 840440 NAME-EDUCATION:HEAD COLUMNS 790 - 791 NUMERIC MD=GE 97 Q.Y3K. WHAT IS THE HIGHEST GRADE OF SCHOOL OR YEAR OF COLLEGE (THE HEAD OF YOUR FAMILY) HAS COMPLETED? ----------------------------------------------------- ACTUAL GRADE CODED SEE APPENDIX NOTE 00. NONE, NO GRADES COMPLETED . . . 12. TWELVE YEARS COMPLETED 13. THIRTEEN YEARS 14. FOURTEEN YEARS 15. FIFTEEN YEARS 16. SIXTEEN YEARS; FOUR YEARS OF COLLEGE COMPLETED 17. SEVENTEEN YEARS OR MORE 97. INAP, 9 IN 439 98. DK 99. NA ============================== VAR 840441 NAME-EDITED EDUC:HEAD COLUMNS 792 - 793 NUMERIC MD=GE 97 Q.Y3K(1) WHAT IS THE HIGHEST GRADE OF SCHOOL OR YEAR OF COLLEGE (THE HEAD OF YOUR FAMILY) HAS COMPLETED? -------------------------------------------------------- Q.Y3K(1) IS AN EDITED VERSION OF Q.Y3K. INDIVIDUALS WHO ARE CODED 12 IN Q.Y3K BUT WHO HAVE ATTENDED A 2 OR 4 YEAR COLLEGE FOR LESS THAN 1 YEAR ARE CODED 13 IN Q.Y3K(1). INDIVIDUALS WHO ARE CODED 13-15 IN Q.Y3K BUT WHO LIST ONLY NON-ACADEMIC TRAINING ARE CODED 12 IN Q.Y3K(1). EDITED GRADE IS COMPARABLE TO PAST NES MEASURES OF EDUCATION. EDITED GRADE CODED SEE APPENDIX NOTE 00. NONE, NO GRADES COMPLETED . . . 12. TWELVE YEARS COMPLETED; V442 ANSWERED "YES" 13. THIRTEEN YEARS 14. FOURTEEN YEARS 15. FIFTEEN YEARS 16. SIXTEEN YEARS; FOUR YEARS OF COLLEGE COMPLETED 17. SEVENTEEN YEARS OR MORE 97. INAP, 9 IN 439 98. DK 99. NA ============================== VAR 840442 NAME-HIGH SCHOOL-HEAD COLUMNS 794 - 794 NUMERIC MD=0 OR GE 8 Q.Y3M. DID (HE/SHE) GET A HIGH SCHOOL DIPLOMA OR PASS A HIGH SCHOOL EQUIVALENCY TEST? -------------------------------------------------------- SEE APPENDIX NOTE 762 1. YES 548 5. NO 8. DK 9. NA 947 0. INAP, 9 IN 439; 13-17, 98, 99 IN 441 ============================== VAR 840443 NAME-OTHER SCHOOLING-HEAD COLUMNS 795 - 795 NUMERIC MD=0 OR GE 9 Q.Y3S. HAS (HE/SHE) HAD ANY OTHER SCHOOLING? Q.Y3T. WHAT KIND? -------------------------------------------- "OTHER SCHOOLING" NORMALLY MEANS NON-ACADEMIC VOCATIONAL AND TECHNICAL TRAINING PROGRAMS WHICH DO NOT GRANT ACADEMIC DEGREES. FOR EXAMPLE: BUSINESS SCHOOL, NURSES' TRAINING IN HOSPITALS, ARMED SERVICE TRAINING PROGRAMS, ETC. SEE APPENDIX NOTE 478 1. YES 829 5. NO 3 9. NA 947 0. INAP, 9 IN 439; 13-17, 98, 99 IN 441 ============================== VAR 840444 NAME-COL DEGREE-HEAD COLUMNS 796 - 796 NUMERIC MD=0 OR GE 8 Q.Y3N. DOES (HE/SHE) HAVE A COLLEGE DEGREE? ------------------------------------------- SEE APPENDIX NOTE 413 1. YES 79 2. YES, ASSOCIATES DEGREE 426 5. NO 1 8. DK 9. NA 1338 0. INAP, 9 IN 439; 00-12, 98, 99 IN 441 ============================== VAR 840445 NAME-HGST DEGREE-HEAD COLUMNS 797 - 797 NUMERIC MD=0 OR GE 8 Q.Y3Q. WHAT IS THE HIGHEST DEGREE THAT (HE/SHE) HAS EARNED? ----------------------------------------------------------- SEE APPENDIX NOTE 259 1. BACHELOR'S DEGREE: BS, BA, AB, AB IN TH, B ARCH, BCH E, BCL, BCS, BE, B ED, BFA, BJ, B LIT, BSA, BSC, BSED, BSES, BS, IN CE, BS IN CHE, BS IN ED, BS IN LS, JCB, LITB, SB, STB, BD 97 2. MASTER'S DEGREE: MS, MSC, MA MAT, MBA, BDS, MED, MFA, EDM, LIM, MPH, MPA, MS IN LS, MSW, MUSM, SM, STM, MMUS, MFS, MSLS 23 3. PHD, LITD, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 11 4. LLB,JD 14 5. MD,DDS,DVM,MVS, DSC, DO (DOCTOR OF OSTEOPATHY) 6. JDC, STD, THD 79 7. ASSOCIATE DEGREE (AA); CODED 2 IN 444 6 8. DK 3 9. NA 1765 0. INAP, 9 IN 439; 00-12, 99 IN 441; 5, 8-9 IN 444 ============================== VAR 840446 NAME-COL ATTENDED-HEAD COLUMNS 798 - 801 NUMERIC MD=0 OR GE 9998 Q.Y3O/P. WHAT WAS THE LAST COLLEGE (HE/SHE) ATTENDED? Q.Y3R. FROM WHAT COLLEGE IS THAT AND WHERE IS IT LOCATED? --------------------------------------------------------- SEE APPENDIX NOTE 0001. . . 9996. 9997. COLLEGE GIVEN NOT IN CODE 9998. DK 9999. NA 0000. INAP, 9 IN 439; 00-12, 99 IN 441; 8-9 IN 444 ============================== VAR 840447 NAME-SUMMARY:EDUC HEAD OF FAM COLUMNS 802 - 803 NUMERIC MD=0 OR GE 98 Q.XX. SUMMARY: HEAD'S EDUCATION -------------------------------- HIGHEST LEVEL ATTAINED CODED LEVEL OF EDUCATION CODED IN Q.Y3K(1) USED TO CODE THE SUMMARY. SEE APPENDIX NOTE 251 01. 8 GRADES OR LESS, NO FURTHER SCHOOLING 30 02. 8 GRADES OR LESS, PLUS NON-ACADEMIC TRAINING 184 03. 9-11 GRADES, NO FURTHER SCHOOLING (INCL. 12 YRS WITHOUT DIPLOMA OR EQUIVALENCY) 83 04. 9-11 GRADES, PLUS NON-ACADEMIC TRAINING (INCL. 12 YRS. WITHOUT DIPLOMA OR EQUIVALENCY) 397 05. HIGH SCHOOL DIPLOMA, NO FURTHER SCHOOLING 365 06. HIGH SCHOOL DIPLOMA, PLUS NON-ACADEMIC TRAINING 428 07. SOME COLLEGE; PART OF A YEAR TO 3 YEARS OR MORE, BUT NO DEGREE (INCL. "16" OR "17+" IF NO DEGREE), MISCELLANEOUS ACADEMIC COURSES TAKEN FOR CREDIT AT A JUNIOR/COMMUNITY COLLEGE OR A FOUR-YEAR COLLEGE, BUT NO DEGREE 80 08. JUNIOR OR COMMUNITY COLLEGE LEVEL DEGREES (AA DEGREES) 262 09. BA LEVEL DEGREES; 17+ YEARS, NO ADVANCED DEGREE 145 10. ADVANCED DEGREE, INCLUDING LLB 9 98. DK 19 99. NA 4 00. INAP, 9 IN 439 ============================== VAR 840448 NAME-EDUCATION:SPOUSE COLUMNS 804 - 805 NUMERIC MD=GE 97 Q.Y3K(S). WHAT IS THE HIGHEST GRADE OF SCHOOL OR YEAR OF COLLEGE (YOUR HUSBAND/YOUR WIFE) HAS COMPLETED? -------------------------------------------------------- ACTUAL GRADE CODED SEE APPENDIX NOTE 00. NONE, NO GRADES COMPLETED . . . 12. TWELVE YEARS COMPLETED 13. THIRTEEN YEARS 14. FOURTEEN YEARS 15. FIFTEEN YEARS 16. SIXTEEN YEARS; FOUR YEARS OF COLLEGE COMPLETED 17. SEVENTEEN YEARS OR MORE 97. INAP, 1, 9 IN 439; 2, 3, 4, 5 OR 9 IN 430 98. DK 99. NA ============================== VAR 840449 NAME-EDITED EDUC:SPOUSE COLUMNS 806 - 807 NUMERIC MD=GE 97 Q.Y3K(1)(S). WHAT IS THE HIGHEST GRADE OF SCHOOL OR YEAR OF COLLEGE (YOUR HUSBAND/YOUR WIFE) HAS COMPLETED? ------------------------------------------------------------ Q.Y3K(1) IS AN EDITED VERSION OF Q.Y3K. INDIVIDUALS WHO ARE CODED 12 IN Q.Y3K(S) BUT WHO HAVE ATTENDED A 2 OR 4 YEAR COLLEGE FOR LESS THAN 1 YEAR ARE CODED 13 IN Q.Y3K(1)(S). INDIVIDUALS WHO ARE CODED 13-15 IN Q.Y3K BUT WHO LIST ONLY NON-ACADEMIC TRAINING ARE CODED 12 IN Q.Y3K(1)(S). EDITED GRADE IS COMPARABLE TO PAST NES MEASURES OF EDUCATION. EDITED GRADE CODED SEE APPENDIX NOTE 00. NONE, NO GRADES COMPLETED . . . 12. TWELVE YEARS COMPLETED; V450 ANSWERED "YES" 13. THIRTEEN YEARS 14. FOURTEEN YEARS 15. FIFTEEN YEARS 16. SIXTEEN YEARS; FOUR YEARS OF COLLEGE COMPLETED 17. SEVENTEEN YEARS OR MORE 97. INAP, 1, 9 IN 439; 2, 3, 4, 5 OR 9 IN 430 98. DK 99. NA ============================== VAR 840450 NAME-HIGH SCHOOL-SPOUSE COLUMNS 808 - 808 NUMERIC MD=0 OR GE 8 Q.Y3M(S). DID (HE/SHE) GET A HIGH SCHOOL DIPLOMA OR PASS A HIGH SCHOOL EQUIVALENCY TEST? ----------------------------------------------------------- SEE APPENDIX NOTE 537 1. YES 274 5. NO 8. DK 9. NA 1446 0. INAP, 1, 9 IN 439; 13-17, 99 IN 449; 2, 3, 4, 5 OR 9 IN 430 ============================== VAR 840451 NAME-OTHER SCHOOLING-SPOUSE COLUMNS 809 - 809 NUMERIC MD=0 OR GE 9 Q.Y3S(S). HAS (HE/SHE) HAD ANY OTHER SCHOOLING? Q.Y3T(S). WHAT KIND? ----------------------------------------------- "OTHER SCHOOLING" NORMALLY MEANS NON-ACADEMIC VOCATIONAL AND TECHNICAL TRAINING PROGRAMS WHICH DO NOT GRANT ACADEMIC DEGREES. FOR EXAMPLE: BUSINESS SCHOOL, NURSES' TRAINING IN HOSPITALS, ARMED SERVICE TRAINING PROGRAMS, ETC. SEE APPENDIX NOTE 302 1. YES 508 5. NO 1 9. NA 1446 0. INAP, 1, 9 IN 439; 13-17, 99 IN 449; 2, 3, 4, 5 OR 9 IN 430 ============================== VAR 840452 NAME-COL DEGREE-SPOUSE COLUMNS 810 - 810 NUMERIC MD=0 OR GE 8 Q.Y3N(S). DOES (HE/SHE) HAVE A COLLEGE DEGREE? ---------------------------------------------- SEE APPENDIX NOTE 213 1. YES 48 2. YES, ASSOCIATES DEGREE 226 5. NO 8. DK 9. NA 1770 0. INAP, 1, 9 IN 439; 00-12, 99 IN 449; 2, 3, 4, 5 OR 9 IN 430 ============================== VAR 840453 NAME-HGST DEGREE-SPOUSE COLUMNS 811 - 811 NUMERIC MD=0 OR GE 8 Q.Y3Q(S). WHAT IS THE HIGHEST DEGREE THAT (HE/SHE) HAS EARNED? ------------------------------------------------------ 135 1. BACHELOR'S DEGREE: BS, BA, AB, AB IN TH, B ARCH, BCH E, BCL, BCS, BE, B ED, BFA, BJ, B LIT, BSA, BSC, BSED, BSES, BS, IN CE, BS IN CHE, BS IN ED, BS IN LS, JCB, LITB, SB, STB, BD 58 2. MASTER'S DEGREE: MS, MSC, MA MAT, MBA, BDS, MED, MFA, EDM, LIM, MPH, MPA, MS IN LS, MSW, MUSM, SM, STM, MMUS, MFS, MSLS 7 3. PHD, LITD, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 3 4. LLB,JD 4 5. MD,DDS,DVM,MVS, DSC, DO (DOCTOR OF OSTEOPATHY) 6. JDC, STD, THD 48 7. ASSOCIATE DEGREE (AA); CODED 2 IN 452 3 8. DK 3 9. NA 1996 0. INAP, 1, 9 IN 439; 00-12,99 IN 449; 5, 8-9 IN 452; 2, 3, 4, 5 OR 9 IN 430 ============================== VAR 840454 NAME-COL ATTENDED-SPOUSE COLUMNS 812 - 815 NUMERIC MD=0 OR GE 9998 Q.Y3O/P(S). WHAT WAS THE LAST COLLEGE (HE/SHE) ATTENDED? Q.Y3R(S). FROM WHAT COLLEGE IS THAT AND WHERE IS IT LOCATED? ------------------------------------------------------------ SEE APPENDIX NOTE 0001. . . 9996. 9997. COLLEGE GIVEN NOT IN CODE 9998. DK 9999. NA 0000. INAP, 1, 9 IN 439; 00-12, 99 IN 449; 8-9 IN 452; 2, 3, 4, 5 OR 9 IN 430 ============================== VAR 840455 NAME-SUMMARY:EDUC SPOUSE OF R COLUMNS 816 - 817 NUMERIC MD=0 OR GE 98 Q.XX. SUMMARY: SPOUSE'S EDUCATION ---------------------------------- HIGHEST LEVEL ATTAINED CODED LEVEL OF EDUCATION CODED IN Q.Y3K(1)(S) USED TO CODE THE SUMMARY. SEE APPENDIX NOTE 104 01. 8 GRADES OR LESS, NO FURTHER SCHOOLING 17 02. 8 GRADES OR LESS, PLUS NON-ACADEMIC TRAINING 106 03. 9-11 GRADES, NO FURTHER SCHOOLING (INCL. 12 YRS WITHOUT DIPLOMA OR EQUIVALENCY) 47 04. 9-11 GRADES, PLUS NON-ACADEMIC TRAINING (INCL. 12 YRS. WITHOUT DIPLOMA OR EQUIVALENCY) 299 05. HIGH SCHOOL DIPLOMA, NO FURTHER SCHOOLING 238 06. HIGH SCHOOL DIPLOMA, PLUS NON-ACADEMIC TRAINING 227 07. SOME COLLEGE; PART OF A YEAR TO 3 YEARS OR MORE, BUT NO DEGREE (INCL. "16" OR "17+" IF NO DEGREE), MISCELLANEOUS ACADEMIC COURSES TAKEN FOR CREDIT AT A JUNIOR/COMMUNITY COLLEGE OR A FOUR-YEAR COLLEGE, BUT NO DEGREE 49 08. JUNIOR OR COMMUNITY COLLEGE LEVEL DEGREES (AA DEGREES) 136 09. BA LEVEL DEGREES; 17+ YEARS, NO ADVANCED DEGREE 72 10. ADVANCED DEGREE, INCLUDING LLB 9 98. DK 14 99. NA 939 00. INAP, 1, 9 IN 439; 2, 3, 4, 5 OR 9 IN 430 ============================== VAR 840456 NAME-R'S JOB STATUS COLUMNS 818 - 819 NUMERIC MD=GE 99 R'S OCCUPATION SECTION Q.Y4. (R. B., P. 20) WE'D LIKE TO KNOW IF YOU ARE WORKING NOW, TEMPORARILY LAID OFF, OR ARE YOU UNEMPLOYED, RETIRED, PERMANENTLY DISABLED,(A HOUSEWIFE),(A STUDENT), OR WHAT? ---------------------------------------------------------- THIS OCCUPATIONAL CODING SCHEME, FIRST USED IN THE FALL 1980 PRE-ELECTION STUDY, WAS DESIGNED TO CLASSIFY RESPONDENTS WHO, IN ADDITION TO WORKING NOW, VOLUNTEERED MEMBERSHIP IN ONE OTHER OF THE FOLLOWING CATEGORIES: RETIRED, HOUSEWIFE, STUDENT. THESE RESPONDENTS ARE FURTHER DIFFERENTIATED FOR CODING PURPOSES ACCORDING TO THE NUMBER OF HOURS WORKED PER WEEK AT THEIR PRESENT JOB (EITHER 20 HOURS OR MORE PER WEEK, OR LESS THAN 20 HOURS PER WEEK). FOR A WORKING STATUS VARIA- BLE COMPARABLE TO PREVIOUS ELECTION STUDIES, SEE REFNO 457. USERS SHOULD NOTE THAT RESPONDENTS CODED 71, OR 81, HOUSEWIFE OR STUDENT WORKING FEWER THAN 20 HOURS/WEEK, HAVE BEEN CODED IN THE WORKING NOW SERIES BUT ARE CODED 7 OR 8 (HOUSEWIFE OR STUDENT WORKING FEWER THAN 20 HOURS PER WEEK) IN THE SUMMARY VARIABLE, REFNO 457. 1298 10. WORKING NOW 5 15. R VOLUNTEERS: WORKING NOW AND RETIRED--CURRENTLY WORKING 20 HOURS OR MORE A WEEK 1 16. PERMANENTLY DISABLED AND WORKING NOW--CURRENTLY WORKING LESS THAN 20 HOURS 27 17. R VOLUNTEERS: WORKING NOW AND HOUSEWIFE--CURRENTLY WORKING 20 HOURS OR MORE A WEEK 29 18. R VOLUNTEERS: WORKING NOW AND STUDENT--CURRENTLY WORKING 20 HOURS OR MORE A WEEK 39 20. TEMPORARILY LAID OFF 122 40. UNEMPLOYED 332 50. RETIRED-NO OTHER OCCUPATION 5 51. R VOLUNTEERS: RETIRED AND WORKING NOW--CURRENTLY WORKING LESS THAN 20 HOURS A WEEK 67 60. PERMANENTLY DISABLED 61. PERMANENTLY DISABLED AND WORKING NOW--CURRENTLY WORKING LESS THAN 20 HOURS 259 70. HOUSEWIFE--NO OTHER OCCUPATION 22 71. R VOLUNTEERS: HOUSEWIFE AND WORKING NOW--CURRENTLY WORKING LESS THAN 20 HOURS A WEEK 7 75. R VOLUNTEERS: HOUSEWIFE AND STUDENT 28 80. STUDENT NO OTHER OCCUPATION 12 81. R VOLUNTEERS: STUDENT AND WORKING NOW--CURRENTLY WORKING LESS THAN 20 HOURS A WEEK 4 99. NA ============================== VAR 840457 NAME-SUM:R'S WORKING STATUS COLUMNS 820 - 820 NUMERIC MD=GE 9 Q.Y4X. SUMMARY: R'S WORKING STATUS ---------------------------------- BUILT FROM 456 1360 1. R WORKING NOW OR IS RETIRED/PERMANENTLY DISABLED/ HOUSEWIFE/STUDENT WORKING 20 HOURS OR MORE PER WEEK (10, 15, 16, 17-18 IN 456) 39 2. R TEMPORARILY LAID OFF (20 IN 456) 122 4. R UNEMPLOYED (40 IN 456) 337 5. R RETIRED AND NOT WORKING 20 HOURS OR MORE PER WEEK (50 OR 51 IN 456) 67 6. R PERMANENTLY DISABLED AND NOT WORKING 20 HOURS OR MORE PER WEEK (60, 61 IN 456) 288 7. R HOUSEWIFE NOT WORKING 20 HOURS OR MORE PER WEEK (70, 71, 75 IN 456) 40 8. R STUDENT NOT WORKING 20 HOURS OR MORE PER WEEK (80 OR 81 IN 456) 4 9. NA (99 IN 456) ============================== VAR 840458 NAME-R UNEMPL-EVER WORKED? COLUMNS 821 - 821 NUMERIC MD=0 OR GE 9 Q.Y4A. (IF UNEMPLOYED) HAVE YOU EVER DONE ANY WORK FOR PAY? ----------------------------------------------------------- 114 1. YES 8 5. NO 9. NA 2135 0. INAP, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456 ============================== VAR 840459 NAME-R DISABLED-EVER WORK? COLUMNS 822 - 822 NUMERIC MD=0 OR GE 9 Q.Y4B. (IF PERM. DISABLED) HAVE YOU EVER DONE ANY WORK FOR PAY? ---------------------------------------------------------- 65 1. YES 3 5. NO 9. NA 2189 0. INAP, 10, 15, 17-18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 IN 456 ============================== VAR 840460 NAME-R HSWF/STD:WORKING NOW? COLUMNS 823 - 823 NUMERIC MD=0 OR GE 9 Q.Y4C. (IF HOUSEWIFE OR STUDENT) ARE YOU DOING ANY WORK FOR PAY AT THE PRESENT TIME? ----------------------------------------------------------- 91 1. YES 292 5. NO 1 9. NA 1873 0. INAP, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 IN 456 ============================== VAR 840461 NAME-R HSW/STD-EMPLYD LST 6 M COLUMNS 824 - 824 NUMERIC MD=0 OR GE 9 Q.Y4D. (IF HOUSEWIFE OR STUDENT) IN THE LAST SIX MONTHS DID YOU DO ANY WORK FOR PAY? ----------------------------------------------------------- 48 1. YES 243 5. NO 1 9. NA 1965 0. INAP, 10, 15, 16, 17-18, 20, 40, 50, 51, 60, 61, 71, 81, 99 IN 456; 1, 9 IN 460 ============================== VAR 840462 NAME-R EMP-MAIN OCCUPATION COLUMNS 825 - 827 NUMERIC MD=0 OR GE 998 R'S OCCUPATION: R IS WORKING/TEMPORARILY LAID OFF Q.Y5. WHAT IS YOUR MAIN OCCUPATION? (WHAT SORT OF WORK DO YOU DO?) (IF NOT CLEAR: TELL ME A LITTLE MORE ABOUT WHAT YOU DO.) ------------------------------------------------------------ 1980 CENSUS OCCUPATION CODE USED SEE APPENDIX NOTE 001. . . 997. 998. DK 999. NA 000. INAP, 40, 50, 60, 70, 75, 80, 99 IN 456 ============================== VAR 840463 NAME-R EMP-80 SUMMARY COLUMNS 828 - 829 NUMERIC MD=0 OR GE 98 Q.Y5X(1) COLLAPSED 1980 OCCUPATION CODE ---------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES BUILT FROM 462 175 01. EXECUTIVE, ADMINISTRATIVE AND MANAGERIAL (001-039) 216 02. PROFESSIONAL SPECIALTY OCCUPATIONS (040-199) 36 03. TECHNICIANS AND RELATED SUPPORT OCCUPATIONS (200-235) 168 04. SALES OCCUPATION (236-285) 228 05. ADMINISTRATIVE SUPPORT, INCLUDING CLERICAL (286-389) 17 06. PRIVATE HOUSEHOLD (403-407) 21 07. PROTECTIVE SERVICE (408-427) 177 08. SERVICE EXEC. PROTECTIVE AND HOUSEHOLD (428-469) 53 09. FARMING, FORESTRY AND FISHING OCCUPATIONS (470-499) 148 10. PRECISION PRODUCTION, CRAFT AND REPAIR OCCUPATIONS (500-699) 86 11. MACHINE OPERATORS, ASSEMBLERS, AND INSPECTORS (700-799) 67 12. TRANSPORTATION AND MATERIAL MOVING OCCUPATIONS (800-859) 39 13. HANDLERS, EQUIPMENT CLEANERS, HELPERS AND LABORERS (860-890) 2 14. MEMBER OF ARMED FORCES (900) 98. DK 5 99. NA 819 00. INAP, 40, 50, 60, 70, 75, 80, 99 IN 456 ============================== VAR 840464 NAME-R EMP-70 SUMMARY COLUMNS 830 - 831 NUMERIC MD=0 OR GE 98 Q.Y5X(2) COLLAPSED 1970 OCCUPATION CODE --------------------------------------- 1970 CENSUS MAJOR GROUP CATEGORIES BUILT FROM 462 277 01. PROFESSIONAL, TECHNICAL AND KINDRED WORKERS 192 02. MANAGERS AND ADMINISTRATORS, EXCEPT FARM 77 03. SALES WORKERS 253 04. CLERICAL AND KINDRED WORKERS 156 05. CRAFTSMEN AND KINDRED WORKERS 98 06. OPERATIVES, EXCEPT TRANSPORT 46 07. TRANSPORT EQUIPMENT OPERATIVES 37 08. LABORERS, EXCEPT FARM 29 09. FARMERS (OWNERS AND TENANTS, FARM MANAGERS, FARMERS--NA TYPE) 15 10. FARM FOREMEN, FARM LABORERS (WAGE-WORKERS) 188 11. SERVICE WORKERS, EXCEPT PRIVATE HOUSEHOLD AND GOVERNMENT PROTECTIVE SERVICES 13 12. GOVERNMENT PROTECTIVE SERVICES: FIREMEN; MARSHALS AND CONSTABLES 17 13. PRIVATE HOUSEHOLD WORKERS 2 14. MEMBER OF ARMED FORCES 33 97. THE 1980 CENSUS OCCUPATION CONTAINED TWO OR MORE 1970 OCCUPATION CATEGORIES 98. DK 5 99. NA 819 00. INAP, 40, 50, 60, 70, 75, 80, 99 IN 456 ============================== VAR 840465 NAME-R EMP-INDUSTRY CODE COLUMNS 832 - 834 NUMERIC MD=0 OR GE 998 Q.Y5A. WHAT KIND OF (BUSINESS/INDUSTRY) IS THAT? ------------------------------------------------ CENSUS INDUSTRY CODE USED SEE APPENDIX NOTE 001. . . 997. 998. DK 999. NA 000. INAP, 40, 50, 60, 70, 75, 80, 99 IN 456 ============================== VAR 840466 NAME-R EMP-SELF EMP Y/N COLUMNS 835 - 835 NUMERIC MD=0 OR GE 8 Q.Y6. DO YOU WORK FOR SOMEONE ELSE, ARE YOU SELF-EMPLOYED, OR WHAT? ----------------------------------------------------------- 1193 1. SOMEONE ELSE 42 2. BOTH SOMEONE ELSE AND SELF 196 3. SELF ONLY 8. DK 7 9. NA 819 0. INAP, 40, 50, 60, 70, 75, 80, 99 IN 456 ============================== VAR 840467 NAME-R EMP-SUPERVISE WRKR COLUMNS 836 - 836 NUMERIC MD=0 OR GE 8 Q.Y6A. DO YOU SUPERVISE ANY WORKERS OR EMPLOYEES AS PART OF YOUR JOB? Q.Y6B. ARE THERE ANY PEOPLE WHO WORK FOR YOU AND ARE PAID BY YOU? ------------------------------------------------------------ 563 1. YES 865 5. NO 8. DK 10 9. NA 819 0. INAP, 40, 50, 60, 70, 75, 80, 99 IN 456 ============================== VAR 840468 NAME-R EMP-BUS BUS/NONPRFT COLUMNS 837 - 837 NUMERIC MD=0 OR GE 8 Q.Y6C. ARE YOU EMPLOYED BY THE GOVERNMENT, BY A BUSINESS, OR BY A NOT-FOR-PROFIT AGENCY SUCH AS A HOSPITAL, SCHOOL OR SOCIAL SERVICE AGENCY? Q.Y6D. IS YOUR BUSINESS OR COMPANY A PROFIT-MAKING BUSINESS, OR A NOT-FOR-PROFIT AGENCY SUCH AS A HOSPITAL, SCHOOL, OR SOCIAL SERVICE AGENCY? ------------------------------------------------------------ 155 1. GOVERNMENT (CODED IN Q.Y6C ONLY) 1059 2. PROFIT-MAKING BUSINESS/COMPANY 182 3. NOT-FOR-PROFIT AGENCY 37 5. NONE;NEITHER OF THESE 1 8. DON'T KNOW 4 9. NA 819 0. INAP, 40, 50, 60, 70, 75, 80, 99 IN 456 ============================== VAR 840469 NAME-R EMP-BUS W/GOVT Y/N COLUMNS 838 - 838 NUMERIC MD=0 OR GE 8 Q.Y6E. IS MOST OF YOUR EMPLOYER'S BUSINESS WITH THE GOVERNMENT? Q.Y6F. IS MOST OF YOUR BUSINESS WITH THE GOVERNMENT? ---------------------------------------------------- 80 1. YES 1179 5. NO 20 8. DK 4 9. NA 974 0. INAP, 40, 50, 60, 70, 75, 80, 99 IN 456; 1 IN 468 (Q.Y6C ONLY) ============================== VAR 840470 NAME-R EMP-FED/LCL/STAT COLUMNS 839 - 839 NUMERIC MD=0 OR GE 8 Q.Y6G. IS THAT PRIMARILY THE FEDERAL GOVERNMENT, OR THE STATE OR LOCAL GOVERNMENT? ------------------------------------------------------- 92 1. FEDERAL 75 3. STATE 59 5. LOCAL 4 7. OTHER, SPECIFY 2 8. DK 3 9. NA 2022 0. INAP, 40, 50, 60, 70, 75, 80, 99 IN 456; 5, 8-9 IN 469 ============================== VAR 840471 NAME-R EMP-AVRG HOURS/WEEK COLUMNS 840 - 841 NUMERIC MD=0 OR GE 98 Q.Y7. ABOUT HOW MANY HOURS DO YOU WORK ON YOUR JOB IN THE AVERAGE WEEK? ---------------------------------------------------------- ACTUAL NUMBER OF HOURS A WEEK CODED 01. . . 97. NINETY-SEVEN OR MORE 98. DK 99. NA 00. INAP, 40, 50, 60, 70, 75, 80, 99 IN 456 ============================== VAR 840472 NAME-R EMP-WRKS RIGHT #HRS COLUMNS 842 - 842 NUMERIC MD=0 OR GE 8 Q.Y7A. IS THAT MORE HOURS THAN YOU WANT TO WORK, FEWER HOURS THAN YOU WANT TO WORK, OR GENERALLY ABOUT RIGHT? ------------------------------------------------------------ 146 1. FEWER 973 3. ABOUT RIGHT 311 5. MORE 1 8. DK 7 9. NA 819 0. INAP, 40, 50, 60, 70, 75, 80, 99 IN 456 ============================== VAR 840473 NAME-R EMP-WORRY LOSNG JOB COLUMNS 843 - 843 NUMERIC MD=0 OR GE 8 Q.Y8. HOW WORRIED ARE YOU ABOUT LOSING YOUR JOB IN THE NEAR FUTURE; A LOT, SOMEWHAT, OR NOT MUCH AT ALL? ------------------------------------------------------------ 117 1. A LOT 185 3. SOMEWHAT 1129 5. NOT MUCH AT ALL 1 8. DON'T KNOW, REFUSED 6 9. NA 819 0. INAP, 40, 50, 60, 70, 75, 80, 99 IN 456 ============================== VAR 840474 NAME-R EMP-OUT OF WORK-6 M COLUMNS 844 - 844 NUMERIC MD=0 OR GE 8 Q.Y9. (IF R IS WORKING NOW): WERE YOU OUT OF WORK OR LAID OFF AT ANY TIME DURING THE LAST SIX MONTHS? ----------------------------------------------------------- 167 1. YES 1224 5. NO 8. DK 8 9. NA 858 0. INAP, 20, 40, 50, 60, 70, 75, 80, 99 IN 456 ============================== VAR 840475 NAME-R EMP-CUT HOURS/PAY COLUMNS 845 - 845 NUMERIC MD=0 OR GE 8 Q.Y9A. (IF R IS WORKING NOW): DURING THE LAST SIX MONTHS, HAVE YOU HAD A REDUCTION IN YOUR WORK HOURS OR HAD TO TAKE A CUT IN PAY AT ANY TIME FOR REASONS OTHER THAN ILLNESS OR PERSONAL CHOICE? ------------------------------------------------------------ 149 1. YES 1239 5. NO 8. DK 11 9. NA 858 0. INAP, 20, 40, 50, 60, 70, 75, 80, 99 IN 456 ============================== VAR 840476 NAME-R UNEMP-OCCUPATION COLUMNS 846 - 848 NUMERIC MD=0 OR GE 998 R'S OCCUPATION: R IS UNEMPLOYED (Q.Y10-Q.Y23A) Q.Y10. WHAT KIND OF WORK DID YOU DO ON YOUR LAST REGULAR JOB? (WHAT WAS YOUR OCCUPATION?) (IF NOT CLEAR: TELL ME A LITTLE MORE ABOUT WHAT YOU DO.) --------------------------------------------------------- 1980 CENSUS OCCUPATION CODE USED SEE APPENDIX NOTE 001. . . 997. 998. DK 999. NA 000. INAP, 10, 15, 16, 17-18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 458 ============================== VAR 840477 NAME-R UNEMP-80 SUMMARY COLUMNS 849 - 850 NUMERIC MD=0 OR GE 98 Q.Y10X(1) COLLAPSED 1980 OCCUPATION CODE ----------------------------------------- 1980 CENSUS MAJOR GROUPS CATEGORIES BUILT FROM 476 5 01. EXECUTIVE, ADMINISTRATIVE AND MANAGERIAL (001-039) 8 02. PROFESSIONAL SPECIALTY OCCUPATIONS (040-199) 1 03. TECHNICIANS AND RELATED SUPPORT OCCUPATIONS (200-235) 9 04. SALES OCCUPATION (236-285) 14 05. ADMINISTRATIVE SUPPORT, INCLUDING CLERICAL (286-389) 3 06. PRIVATE HOUSEHOLD (403-407) 07. PROTECTIVE SERVICE (408-427) 41 08. SERVICE EXEC. PROTECTIVE AND HOUSEHOLD (428-469) 4 09. FARMING, FORESTRY AND FISHING OCCUPATIONS (470-499) 5 10. PRECISION PRODUCTION, CRAFT AND REPAIR OCCUPATIONS (500-699) 12 11. MACHINE OPERATORS, ASSEMBLERS AND INSPECTORS (700-799) 5 12. TRANSPORTATION AND MATERIAL MOVING OCCUPATIONS (800-859) 4 13. HANDLERS, EQUIPMENT CLEANERS, HELPERS AND LABORERS (860-890) 1 14. MEMBER OF ARMED FORCES (900) 98. DK 2 99. NA 2143 00. INAP, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456; 5,9 IN 458 ============================== VAR 840478 NAME-R UNEMP-70 SUMMARY COLUMNS 851 - 852 NUMERIC MD=0 OR GE 98 Q.Y10X(2) COLLAPSED 1970 OCCUPATION CODE ---------------------------------------- 1970 CENSUS MAJOR GROUP CATEGORIES BUILT FROM 476 10 01. PROFESSIONAL, TECHNICAL AND KINDRED WORKERS 6 02. MANAGERS AND ADMINISTRATORS, EXCEPT FARM 3 03. SALES WORKERS 16 04. CLERICAL AND KINDRED WORKERS 6 05. CRAFTSMEN AND KINDRED WORKERS 12 06. OPERATIVES, EXCEPT TRANSPORT 4 07. TRANSPORT EQUIPMENT OPERATIVES 3 08. LABORERS, EXCEPT FARM 09. FARMERS (OWNERS AND TENANTS, FARM MANAGERS, FARMERS--NA TYPE) 4 10. FARM FOREMEN, FARM LABORERS (WAGE-WORKERS) 41 11. SERVICE WORKERS, EXCEPT PRIVATE HOUSEHOLD AND GOVERNMENT PROTECTIVE SERVICES 12. GOVERNMENT PROTECTIVE SERVICES: FIREMEN; MARSHALS AND CONSTABLES 3 13. PRIVATE HOUSEHOLD WORKERS 1 14. MEMBER OF ARMED FORCES 3 97. THE 1980 CENSUS OCCUPATION CONTAINED TWO OR MORE 1970 OCCUPATION CATEGORIES 98. DK 2 99. NA 2143 00. INAP, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 458 ============================== VAR 840479 NAME-R UNEMP-INDUSTRY COLUMNS 853 - 855 NUMERIC MD=0 OR GE 998 Q.Y10A. WHAT KIND OF (BUSINESS/INDUSTRY) WAS THAT? -------------------------------------------------- CENSUS INDUSTRY CODE USED SEE APPENDIX NOTE 001. . . 997. 998. DK 999. NA 000. INAP, 10, 15, 16, 17-18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 458 ============================== VAR 840480 NAME-R UNEMP-SELF EMPLOYED COLUMNS 856 - 856 NUMERIC MD=0 OR GE 8 Q.Y11. DID YOU WORK FOR SOMEONE ELSE, WERE YOU SELF-EMPLOYED, OR WHAT? ---------------------------------------------- 109 1. SOMEONE ELSE 2 2. BOTH SOMEONE ELSE AND SELF 2 3. SELF ONLY 8. DK 1 9. NA 2143 0. INAP, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 458 ============================== VAR 840481 NAME-R UNEM-SUPERVS WRKR COLUMNS 857 - 857 NUMERIC MD=0 OR GE 8 Q.Y11A. DID YOU SUPERVISE ANY WORKERS OR EMPLOYEES AS PART OF YOUR JOB? Q.Y11B. WERE THERE ANY PEOPLE WHO WORKED FOR YOU AND WERE PAID BY YOU? ------------------------------------------------------------ 26 1. YES 86 5. NO 8. DK 2 9. NA 2143 0. INAP, 10, 15, 16, 17-18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 458 ============================== VAR 840482 NAME-R UNEM-BUS BUS/NONPRFT COLUMNS 858 - 858 NUMERIC MD=0 OR GE 8 Q.Y11C. WERE YOU EMPLOYED BY THE GOVERNMENT, BY A BUSINESS, OR BY A NOT-FOR-PROFIT AGENCY SUCH AS A HOSPITAL, SCHOOL OR SOCIAL SERVICE AGENCY? Q.Y11D. WAS YOUR BUSINESS OR COMPANY A PROFIT-MAKING BUSI- NESS, OR A NOT-FOR-PROFIT AGENCY SUCH AS A HOSPITAL, SCHOOL, OR SOCIAL SERVICE AGENCY? ------------------------------------------------------------ 13 1. GOVERNMENT (CODED IN Y11C ONLY) 76 2. PROFIT-MAKING BUSINESS/COMPANY 15 3. NOT-FOR-PROFIT AGENCY 8 5. NONE;NEITHER OF THESE 1 8. DON'T KNOW 1 9. NA 2143 0. INAP, 10, 15, 16, 17-18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 458 ============================== VAR 840483 NAME-R UNEMP-BUS W/GOVT Y/N COLUMNS 859 - 859 NUMERIC MD=0 OR GE 8 Q.Y11E. WAS MOST OF YOUR EMPLOYER'S BUSINESS WITH THE GOVERNMENT? Q.Y11F. WAS MOST OF YOUR BUSINESS WITH THE GOVERNMENT? ------------------------------------------------------- 13 1. YES 83 5. NO 3 8. DK 2 9. NA 2156 0. INAP, 10, 15, 16, 17-18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 458; 1 IN 482 (Y11C ONLY) ============================== VAR 840484 NAME-R UNEMP-FED/LCL/STATE COLUMNS 860 - 860 NUMERIC MD=0 OR GE 8 Q.Y11G. WAS THAT PRIMARILY THE FEDERAL GOVERNMENT, OR THE STATE OR LOCAL GOVERNMENT? ---------------------------------------------------------- 13 1. FEDERAL 9 3. STATE 3 5. LOCAL 7. OTHER, SPECIFY 1 8. DK 9. NA 2231 0. INAP, 10, 15, 16, 17-18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 458; 5, 8, 9 IN 483 ============================== VAR 840485 NAME-R UNEM-WORKED PST 6 M COLUMNS 861 - 861 NUMERIC MD=0 OR GE 8 Q.Y12. HAVE YOU HAD A JOB IN THE PAST SIX MONTHS? ------------------------------------------------- 44 1. YES 70 5. NO 8. DK 9. NA 2143 0. INAP, 10, 15, 16, 17-18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 458 ============================== VAR 840486 NAME-R UNEM-#HRS HAD WRK COLUMNS 862 - 863 NUMERIC MD=0 OR GE 98 Q.Y12A. ABOUT HOW MANY HOURS DO YOU WORK ON YOUR JOB IN THE AVERAGE WEEK? ------------------------------------------------------------ 01. . . 96. 97. NINETY-SEVEN OR MORE 98. DK 99. NA 00. INAP, 10, 15, 16, 17-18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 458; 5, 8-9 IN 485 ============================== VAR 840487 NAME-R UNEM-LOOKG F WORK COLUMNS 864 - 864 NUMERIC MD=0 OR GE 8 Q.Y13. ARE YOU LOOKING FOR WORK AT THE PRESENT TIME? ---------------------------------------------------- 88 1. YES 22 5. NO 8. DK 4 9. NA 2143 0. INAP, 10, 15, 16, 17-18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 458 ============================== VAR 840488 NAME-R UNEM-WORRIED COLUMNS 865 - 865 NUMERIC MD=0 OR GE 8 Q.Y13A. HOW WORRIED ARE YOU ABOUT NOT BEING ABLE TO FIND A JOB IN THE NEAR FUTURE; A LOT, SOMEWHAT, OR NOT MUCH AT ALL? ------------------------------------------------------------ 63 1. A LOT 22 3. SOMEWHAT 29 5. NOT MUCH AT ALL 8. DON'T KNOW, REFUSED 9. NA 2143 0. INAP, 10, 15, 16, 17-18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 458 ============================== VAR 840489 NAME-R RETIRED-YR RETIRED COLUMNS 866 - 867 NUMERIC MD=0 OR GE 98 R'S OCCUPATION: R IS RETIRED Q.Y14. WHEN DID YOU RETIRE? ---------------------------- ACTUAL YEAR WAS CODED 20. 1920 . . 84. 1984 98. DK 00. INAP, 10, 16, 17-18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 IN 456 ============================== VAR 840490 NAME-R RET/DIS-OCCUPATION COLUMNS 868 - 870 NUMERIC MD=0 OR GE 998 R'S OCCUPATION: R IS RETIRED OR PERMANENTLY DISABLED Q.Y15. WHAT KIND OF WORK DID YOU DO ON YOUR LAST REGULAR JOB? (WHAT WAS YOUR OCCUPATION?) (IF NOT CLEAR: TELL ME A LITTLE MORE ABOUT WHAT YOU DO.) --------------------------------------------------------- 1980 CENSUS OCCUPATION CODE SEE APPENDIX NOTE 001. . . 997. 998. DK 999. NA 000. INAP, 10, 17-18, 20, 40, 70, 71, 75, 80, 81, 99 IN 456; 5, 8, 9 IN 459 ============================== VAR 840491 NAME-R RET/DIS-80 SUMMARY COLUMNS 871 - 872 NUMERIC MD=0 OR GE 98 Q.Y15X(1) COLLAPSED 1980 OCCUPATION CODE ----------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES BUILT FROM 490 46 01. EXECUTIVE, ADMINISTRATIVE AND MANAGERIAL (001-039) 44 02. PROFESSIONAL SPECIALTY OCCUPATIONS (040-199) 6 03. TECHNICIANS AND RELATED SUPPORT OCCUPATIONS (200-235) 38 04. SALES OCCUPATION (236-285) 49 05. ADMINISTRATIVE SUPPORT, INCLUDING CLERICAL (286-389) 16 06. PRIVATE HOUSEHOLD (403-407) 8 07. PROTECTIVE SERVICE (408-427) 40 08. SERVICE EXEC. PROTECTIVE AND HOUSEHOLD (428-469) 24 09. FARMING, FORESTRY AND FISHING OCCUPATIONS (470-499) 49 10. PRECISION PRODUCTION, CRAFT AND REPAIR OCCUPATIONS (500-699) 49 11. MACHINE OPERATORS, ASSEMBLERS AND INSPECTORS (700-799) 19 12. TRANSPORTATION AND MATERIAL MOVING OCCUPATIONS (800-855) 10 13. HANDLERS, EQUIPMENT CLEANERS, HELPERS AND LABORERS (860-890) 4 14. MEMBER OF ARMED SERVIES (900) 98. DK 5 99. NA 1850 00. INAP, 10, 17-18, 20, 40, 70, 71, 75, 80, 81, 99 IN 456; 5, 8-9 IN 459 ============================== VAR 840492 NAME-R RET/DIS-70 SUMMARY COLUMNS 873 - 874 NUMERIC MD=0 OR GE 98 Q.Y15X(2) COLLAPSED 1970 OCCUPATION CODE ---------------------------------------- 1970 CENSUS MAJOR GROUP CATEGORIES BUILT FROM 490 50 01. PROFESSIONAL, TECHNICAL AND KINDRED WORKERS 54 02. MANAGERS AND ADMINISTRATORS, EXCEPT FARM 21 03. SALES WORKERS 53 04. CLERICAL AND KINDRED WORKERS 52 05. CRAFTSMEN AND KINDRED WORKERS 51 06. OPERATIVES, EXCEPT TRANSPORT 11 07. TRANSPORT EQUIPMENT OPERATIVES 6 08. LABORERS, EXCEPT FARM 15 09. FARMERS (OWNERS AND TENANTS, FARM MANAGERS, FARMERS--NA TYPE) 9 10. FARM FOREMEN, FARM LABORERS (WAGE-WORKERS) 46 11. SERVICE WORKERS, EXCEPT PRIVATE HOUSEHOLD AND GOVERNMENT PROTECTIVE SERVICES 5 12. GOVERNMENT PROTECTIVE SERVICES: FIREMEN; MARSHALS AND CONSTABLES 16 13. PRIVATE HOUSEHOLD WORKERS 4 14. MEMBER OF ARMED FORCES 9 97. THE 1980 CENSUS OCCUPATION CONTAINED TWO OR MORE 1970 OCCUPATION CATEGORIES. 98. DK 5 99. NA 1850 00. INAP, 10, 17, 18, 20, 40, 70, 71, 75, 80, 81, 99 IN 456; 5, 8-9 IN 459 ============================== VAR 840493 NAME-R RET/DIS-INDUSTRY COLUMNS 875 - 877 NUMERIC MD=0 OR GE 998 Q.Y15A. WHAT KIND OF (BUSINESS/INDUSTRY) WAS THAT? --------------------------------------------------- CENSUS INDUSTRY CODE USED SEE APPENDIX NOTE 001. . . 997. 998. DK 999. NA 000. INAP, 10, 17-18, 20, 40, 70, 71, 75, 80, 81, 99 IN 456; 5, 8-9 IN 459 ============================== VAR 840494 NAME-R RET/DIS-SELF EMPLYED COLUMNS 878 - 878 NUMERIC MD=0 OR GE 8 Q.Y16. DID YOU WORK FOR SOMEONE ELSE, WERE YOU SELF-EMPLOYED, OR WHAT? ---------------------------------------------- 345 1. SOMEONE ELSE 9 2. BOTH SOMEONE ELSE AND SELF 49 3. SELF ONLY 8. DK 4 9. NA 1850 0. INAP, 10, 17-18, 20, 40, 70, 71, 75, 80, 81, 99 IN 456; 5, 8-9 IN 459 ============================== VAR 840495 NAME-R RET/DIS-SUPERVISE COLUMNS 879 - 879 NUMERIC MD=0 OR GE 8 Q.Y16A. DID YOU SUPERVISE ANY WORKERS OR EMPLOYEES AS PART OF YOUR JOB? Q.Y16B. WERE THERE ANY PEOPLE WHO WORKED FOR YOU AND WERE PAID BY YOU? ----------------------------------------------------------- 177 1. YES 226 5. NO 8. DK 4 9. NA 1850 0. INAP, 10, 17-18, 20, 40, 70, 71, 75, 80, 81, 99 IN 456; 5, 8-9 IN 459 ============================== VAR 840496 NAME-R R/DS-BUS BUS/NONPRFT COLUMNS 880 - 880 NUMERIC MD=0 OR GE 8 Q.Y16C. WERE YOU EMPLOYED BY THE GOVERNMENT, BY A BUSINESS, OR BY A NOT-FOR-PROFIT AGENCY SUCH AS A HOSPITAL, SCHOOL OR SOCIAL SERVICE AGENCY? Q.Y16D. WAS YOUR BUSINESS OR COMPANY A PROFIT-MAKING BUSI- NESS, OR A NOT-FOR-PROFIT AGENCY SUCH AS A HOSPITAL, SCHOOL, OR SOCIAL SERVICE AGENCY? ------------------------------------------------------------ 57 1. GOVERNMENT (CODED IN Y16C ONLY) 291 2. PROFIT-MAKING BUSINESS/COMPANY 36 3. NOT-FOR-PROFIT AGENCY 18 5. NONE;NEITHER OF THESE 1 8. DON'T KNOW 4 9. NA 1850 0. INAP, 10, 17-18, 20, 40, 70, 71, 75, 80, 81, 99 IN 456; 5, 8-9 IN 459 ============================== VAR 840497 NAME-R RT/DS-BUS W/GOVT-Y/N COLUMNS 881 - 881 NUMERIC MD=0 OR GE 8 Q.Y16E. WAS MOST OF YOUR EMPLOYER'S BUSINESS WITH THE GOVERNMENT? Q.Y16F. WAS MOST OF YOUR BUSINESS WITH THE GOVERNMENT? ------------------------------------------------------- 21 1. YES 315 5. NO 10 8. DK 4 9. NA 1907 0. INAP, 10, 17-18, 20, 40, 70, 71, 75, 80, 81, 99 IN 456; 5, 8-9 IN 459; 1 IN 496 (Y16C ONLY) ============================== VAR 840498 NAME-R RT/DS-FED/LCL/STATE COLUMNS 882 - 882 NUMERIC MD=0 OR GE 8 Q.Y16G. WAS THAT PRIMARILY THE FEDERAL GOVERNMENT, OR THE STATE OR LOCAL GOVERNMENT? ---------------------------------------------------------- 34 1. FEDERAL 25 3. STATE 17 5. LOCAL 1 7. OTHER, SPECIFY 8. DK 1 9. NA 2179 0. INAP, 10, 17-18, 20, 40, 70, 71, 75, 80, 81, 99 IN 456; 5, 8-9 IN 459; 5, 8-9 IN 497 ============================== VAR 840499 NAME-R RT/DS-WORKED PST 6 COLUMNS 883 - 883 NUMERIC MD=0 OR GE 8 Q.Y17. HAVE YOU HAD A JOB IN THE LAST SIX MONTHS? ------------------------------------------------- 19 1. YES 376 5. NO 8. DK 1 9. NA 1861 0. INAP, 10, 15, 16, 17-18, 20, 40, 51, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 8-9 IN 459 ============================== VAR 840500 NAME-R RET/DIS-#HRS WK COLUMNS 884 - 885 NUMERIC MD=0 OR GE 98 Q.Y17A. ABOUT HOW MANY HOURS DID YOU WORK ON YOUR JOB IN THE AVERAGE WEEK? --------------------------------------------------------- 01. . . 96. 97. NINETY-SEVEN OR MORE 98. DK 99. NA 00. INAP, 10, 15, 16, 17-18, 20, 40, 51, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 8-9 IN 459; 5, 8-9 IN 499 ============================== VAR 840501 NAME-R RET/DIS-LOOKING F WRK? COLUMNS 886 - 886 NUMERIC MD=0 OR GE 8 Q.Y18. ARE YOU LOOKING FOR WORK AT THE PRESENT TIME? ---------------------------------------------------- 16 1. YES 367 5. NO 8. DK 13 9. NA 1861 0. INAP, 10, 15, 16, 17-18, 20, 40, 51, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 8-9 IN 459 ============================== VAR 840502 NAME-R RET/DIS-WORRY F JOB COLUMNS 887 - 887 NUMERIC MD=0 OR GE 8 Q.Y18A. HOW WORRIED ARE YOU ABOUT NOT BEING ABLE TO FIND A JOB IN THE NEAR FUTURE; A LOT, SOMEWHAT, OR NOT MUCH AT ALL? ------------------------------------------------------------ 9 1. A LOT 15 3. SOMEWHAT 354 5. NOT MUCH AT ALL 10 8. DON'T KNOW, REFUSED 8 9. NA 1861 0. INAP, 10, 15, 16, 17-18, 20, 40, 51, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 8-9 IN 459 ============================== VAR 840503 NAME-R HSW/ST-OCCUPATION COLUMNS 888 - 890 NUMERIC MD=0 OR GE 998 R'S OCCUPATION: R IS HOUSEWIFE OR STUDENT Y19. WHAT KIND OF WORK DID YOU DO ON YOUR LAST REGULAR JOB? (WHAT WAS YOUR OCCUPATION?) (IF NOT CLEAR: TELL ME A LITTLE MORE ABOUT WHAT YOU DO.) ------------------------------------------------------------ 1980 CENSUS OCCUPATION CODE SEE APPENDIX NOTE 001. . . 997. 998. DK 999. NA 000. INAP, 10, 15, 16, 17-18, 20, 40, 50, 51, 60, 61, 71, 81, 99 IN 456; 81, 99 IN 456; 5, 9 IN 461 ============================== VAR 840504 NAME-R HSW/ST-80 SUMMARY COLUMNS 891 - 892 NUMERIC MD=0 OR GE 98 Q.Y19X(1) COLLAPSED 1980 OCCUPATION CODE ----------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES BUILT FROM 503 01. EXECUTIVE, ADMINISTRATIVE AND MANAGERIAL (001-039) 6 02. PROFESSIONAL SPECIALTY OCCUPATIONS (040-199) 1 03. TECHNICIANS AND RELATED SUPPORT OCCUPATIONS (200-235) 4 04. SALES OCCUPATION (236-285) 13 05. ADMINISTRATIVE SUPPORT, INCLUDING CLERICAL (286-389) 06. PRIVATE HOUSEHOLD (403-407) 1 07. PROTECTIVE SERVICE (408-427) 13 08. SERVICE EXEC. PROTECTIVE AND HOUSEHOLD (428-469) 1 09. FARMING, FORESTRY AND FISHING OCCUPATIONS (470-499) 10. PRECISION PRODUCTION, CRAFT AND REPAIR 5 11. MACHINE OPERATORS, ASSEMBLERS AND INSPECTORS (700-799) 2 12. TRANSPORTATION AND MATERIAL MOVING OCCUPATIONS (800-859) 3 13. HANDLERS, EQUIPMENT CLEANERS, HELPERS AND LABORERS (860-890) 14. MEMBER OF ARMED FORCES (900) 98. DK 1 99. NA 2207 00. INAP, 10, 15, 16, 17-18, 20, 40, 50, 51, 60, 61, 71, 81, 99 IN 456; 5, 9 IN 461 ============================== VAR 840505 NAME-R HSW/ST-70 SUMMARY COLUMNS 893 - 894 NUMERIC MD=0 OR GE 98 Q.Y19X(2) COLLAPSED 1970 OCCUPATION CODE ---------------------------------------- 1970 CENSUS MAJOR GROUP CATEGORIES BUILT FROM 503 7 01. PROFESSIONAL, TECHNICAL AND KINDRED WORKERS 1 02. MANAGERS AND ADMINISTRATORS, EXCEPT FARM 2 03. SALES WORKERS 14 04. CLERICAL AND KINDRED WORKERS 05. CRAFTSMEN AND KINDRED WORKERS 5 06. OPERATIVES, EXCEPT TRANSPORT 2 07. TRANSPORT EQUIPMENT OPERATIVES 2 08. LABORERS, EXCEPT FARM 09. FARMERS (OWNERS AND TENANTS, FARM MANAGERS, FARMERS--NA TYPE) 10. FARM FOREMEN, FARM LABORERS (WAGE-WORKERS) 14 11. SERVICE WORKERS, EXCEPT PRIVATE HOUSEHOLD AND GOVERNMENT PROTECTIVE SERVICES 12. GOVERNMENT PROTECTIVE SERVICES: FIREMEN; MARSHALS AND CONSTABLES 13. PRIVATE HOUSEHOLD WORKERS 14. MEMBER OF ARMED FORCES 2 97. THE 1980 CENSUS OCCUPATION CONTAINED TWO OR MORE 1970 OCCUPATION CATEGORIES. 98. DK 1 99. NA 2207 00. INAP, 10, 15, 16, 17, 18, 20, 40, 50, 51, 60, 61, 71, 81, 99 IN 456; 5, 9 IN 461 ============================== VAR 840506 NAME-R HSW/ST-BUSINESS/IND COLUMNS 895 - 897 NUMERIC MD=0 OR GE 998 Q.Y20. WHAT KIND OF (BUSINESS/INDUSTRY) WAS THAT? ------------------------------------------------- 1980 CENSUS INDUSTRY CODE SEE APPENDIX NOTE 001. . . 997. 998. DK 999. NA 000. INAP, 10, 15, 16, 17, 18, 20, 40, 50, 51, 60, 61, 71, 81, 99 IN 456; 5, 9 IN 461 ============================== VAR 840507 NAME-R HSW/ST-SELF EMPLYED COLUMNS 898 - 898 NUMERIC MD=0 OR GE 8 Q.Y21. DID YOU WORK FOR SOMEONE ELSE, ARE YOU SELF-EMPLOYED, OR WHAT? ------------------------------------------------------------ 43 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 6 3. SELF ONLY 8. DK 1 9. NA 2207 0. INAP, 10, 15, 16, 17, 18, 20, 40, 50, 51, 60, 61, 71, 81, 99 IN 456; 5, 9 IN 461 ============================== VAR 840508 NAME-R HSW/ST-SUPERVISE COLUMNS 899 - 899 NUMERIC MD=0 OR GE 8 Q.Y21A. DID YOU SUPERVISE ANY WORKERS OR EMPLOYEES AS PART OF YOUR JOB? Q.Y21B. WERE THERE ANY PEOPLE WHO WORKED FOR YOU AND WERE PAID BY YOU? ------------------------------------------------------------ 12 1. YES 37 5. NO 8. DK 1 9. NA 2207 0. INAP, 10, 15, 16, 17-18, 20, 40, 50, 51, 60, 61, 71, 81, 99 IN 456; 5, 9 IN 461 ============================== VAR 840509 NAME-R HSW/ST-BUS/NONPRFT COLUMNS 900 - 900 NUMERIC MD=0 OR GE 8 Q.Y21C. WERE YOU EMPLOYED BY THE GOVERNMENT, BY A BUSINESS, OR BY A NOT-FOR-PROFIT AGENCY SUCH AS A HOSPITAL, SCHOOL OR SOCIAL SERVICE AGENCY? Y21D. WAS YOUR BUSINESS OR COMPANY A PROFIT-MAKING BUSI- NESS, OR A NOT-FOR-PROFIT AGENCY SUCH AS A HOSPITAL, SCHOOL, OR SOCIAL SERVICE AGENCY? ------------------------------------------------------------ 2 1. GOVERNMENT (CODED IN Y21C ONLY) 36 2. PROFIT-MAKING BUSINESS/COMPANY 10 3. NOT-FOR-PROFIT AGENCY 1 5. NONE;NEITHER OF THESE 8. DK 1 9. NA 2207 0. INAP, 10, 15, 16, 17, 18, 20, 40, 50, 51, 60, 61, 71, 81, 99 IN 456; 5, 9 IN 461 ============================== VAR 840510 NAME-R HSW/ST-BUS W/GVT Y/N COLUMNS 901 - 901 NUMERIC MD=0 OR GE 8 Q.Y21E. WAS MOST OF YOUR EMPLOYER'S BUSINESS WITH THE GOVERNMENT? Q.Y21F. WAS MOST OF YOUR BUSINESS WITH THE GOVERNMENT? ------------------------------------------------------- 4 1. YES 42 5. NO 1 8. DK 1 9. NA 2209 0. INAP, 10, 15, 16, 17, 18, 20, 40, 50, 51, 60, 61, 71, 81, 99 IN 456; 5, 9 IN 461; 1 IN 509 (Y21C ONLY) ============================== VAR 840511 NAME-R HSW/ST-FED/LCL/STATE COLUMNS 902 - 902 NUMERIC MD=0 OR GE 8 Q.Y21G. WAS THAT PRIMARILY THE FEDERAL GOVERNMENT, OR THE STATE OR LOCAL GOVERNMENT? ---------------------------------------------------------- 2 1. FEDERAL 2 3. STATE 1 5. LOCAL 1 7. OTHER, SPECIFY 8. DK 9. NA 2251 0. INAP, 10, 15, 16, 17, 18, 20, 40, 50, 51, 60, 61, 71, 81, 99 IN 456; 5, 9 IN 461; 5, 8-9 IN 510 ============================== VAR 840512 NAME-R HSW/ST HRS/WK COLUMNS 903 - 904 NUMERIC MD=0 OR GE 98 Q.Y22. ABOUT HOW MANY HOURS DID YOU WORK ON YOUR JOB IN THE AVERAGE WEEK? ----------------------------------------------------------- 01. . . 96. 97. NINETY-SEVEN OR MORE 98. DK 99. NA 00. INAP, 10, 15, 16, 17, 18, 20, 40, 50, 51, 60, 61, 71, 81, 99 IN 456; 5, 9 IN 461 ============================== VAR 840513 NAME-R HSW/ST LKNG FOR JOB COLUMNS 905 - 905 NUMERIC MD=0 OR GE 8 Q.Y23. ARE YOU LOOKING FOR WORK AT THE PRESENT TIME? ---------------------------------------------------- 14 1. YES 34 5. NO 8. DK 2 9. NA 2207 0. INAP, 10, 15, 16, 17, 18, 20, 40, 50, 51, 60, 61, 71, 81, 99 IN 456; 5, 9 IN 461 ============================== VAR 840514 NAME-R HSW/ST WRRY FND JOB COLUMNS 906 - 906 NUMERIC MD=0 OR GE 8 Q.Y23A. HOW WORRIED ARE YOU ABOUT NOT BEING ABLE TO FIND A JOB IN THE NEAR FUTURE; A LOT, SOMEWHAT, OR NOT MUCH AT ALL? ------------------------------------------------------------ 11 1. A LOT 12 3. SOMEWHAT 25 5. NOT MUCH AT ALL 8. DON'T KNOW, REFUSED 2 9. NA 2207 0. INAP, 10, 15, 16, 17, 18, 20, 40, 50, 51, 60, 61, 71, 81, 99 IN 456; 5, 9 IN 461 ============================== VAR 840515 NAME-R'S CENSUS OCCUPATION COLUMNS 907 - 909 NUMERIC MD=0 OR GE 998 R'S OCCUPATIONAL DATA -- STACKED Q.RC.1 WHAT IS/WAS YOUR MAIN OCCUPATION? (WHAT SORT OF WORK DO/DID YOU DO?) (IF NOT CLEAR: TELL ME A LITTLE MORE ABOUT WHAT YOU DO/DID.) ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Q.Y4, HIS/HER FORMER OCCUPATION WAS USED. 1980 CENSUS OCCUPATION CODE USED SEE APPENDIX NOTE 001. . . 997. 998. DK 999. NA 000. INAP, 70, 75, 80, 99 IN 456; 5 OR 9 IN 528 ============================== VAR 840516 NAME-R'S CEN OCC CLLPS-80 COLUMNS 910 - 911 NUMERIC MD=0 OR GE 98 Q.RC.2 COLLAPSED 1980 OCCUPATION CODE FOR R'S CURRENT/FORMER OCCUPATION ----------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Q.Y4, HIS/HER FORMER OCCUPATION WAS USED. 1980 CENSUS MAJOR GROUP CATEGORIES SEE APPENDIX NOTE 223 01. EXECUTIVE, ADMINISTRATIVE AND MANAGERIAL (001-039) 267 02. PROFESSIONAL SPECIALTY OCCUPATIONS (040-199) 43 03. TECHNICIANS AND RELATED SUPPORT OCCUPATIONS (200-235) 215 04. SALES OCCUPATION (236-285) 291 05. ADMINISTRATIVE SUPPORT, INCLUDING CLERICAL (286-389) 36 06. PRIVATE HOUSEHOLD (403-407) 28 07. PROTECTIVE SERVICE (408-427) 256 08. SERVICE EXEC. PROTECTIVE AND HOUSEHOLD (428-469) 81 09. FARMING, FORESTRY AND FISHING OCCUPATIONS (470-499) 202 10. PRECISION PRODUCTION, CRAFT AND REPAIR OCCUPATIONS (500-699) 147 11. MACHINE OPERATORS, ASSEMBLERS, AND INSPECTORS (700-799) 90 12. TRANSPORTATION AND MATERIAL MOVING OCCUPATIONS (800-859) 53 13. HANDLERS, EQUIPMENT CLEANERS, HELPERS AND LABORERS (860-890) 7 14. MEMBER OF ARMED FORCES (900) 98. DK 9 99. NA 309 00. INAP, 70, 75, 80, 99 IN 456; 5 OR 9 IN 528 ============================== VAR 840517 NAME-R'S CEN OCC CLLPS-70 COLUMNS 912 - 913 NUMERIC MD=0 OR GE 98 Q.RC.3 COLLAPSED 1970 OCCUPATION CODE FOR R'S CURRENT/FORMER OCCUPATION ---------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Q.Y4, HIS/HER FORMER OCCUPATION WAS USED. 1970 CENSUS MAJOR GROUP CATEGORIES SEE APPENDIX NOTE 335 01. PROFESSIONAL, TECHNICAL AND KINDRED WORKERS 250 02. MANAGERS AND ADMINISTRATORS, EXCEPT FARM 101 03. SALES WORKERS 322 04. CLERICAL AND KINDRED WORKERS 213 05. CRAFTSMEN AND KINDRED WORKERS 161 06. OPERATIVES, EXCEPT TRANSPORT 61 07. TRANSPORT EQUIPMENT OPERATIVES 46 08. LABORERS, EXCEPT FARM 44 09. FARMERS (OWNERS AND TENANTS, FARM MANAGERS, FARMERS--NA TYPE) 28 10. FARM FOREMEN, FARM LABORERS (WAGE-WORKERS) 272 11. SERVICE WORKERS, EXCEPT PRIVATE HOUSEHOLD AND GOVERNMENT PROTECTIVE SERVICES 18 12. GOVERNMENT PROTECTIVE SERVICES: FIREMEN; MARSHALS AND CONSTABLES 36 13. PRIVATE HOUSEHOLD WORKERS 7 14. MEMBER OF ARMED FORCES 45 97. THE 1980 CENSUS OCCUPATION CONTAINED TWO OR MORE 1970 OCCUPATION CATEGORIES 98. DK 9 99. NA 309 00. INAP, 70, 75, 80, 99 IN 456; 5 OR 9 IN 528 ============================== VAR 840518 NAME-R'S INDUSTRY COLUMNS 914 - 916 NUMERIC MD=0 OR GE 998 Q.RC.4 WHAT KIND OF (BUSINESS/INDUSTRY) IS THAT? ------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Q.Y4, HIS/HER FORMER OCCUPATION'S INDUSTRY WAS USED. CENSUS INDUSTRY CODE USED SEE APPENDIX NOTE 001. . . 997. 998. DK 999. NA 000. INAP, 70, 75, 80, 99 IN 456; 5 OR 9 IN 528 ============================== VAR 840519 NAME-R SELF EMPLOYED COLUMNS 917 - 917 NUMERIC MD=0 OR GE 8 Q.RC.5 DO/DID YOU WORK FOR SOMEONE ELSE, ARE/WERE YOU SELF-EMPLOYED, OR WHAT? ------------------------------------------------------ THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Q.Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. SEE APPENDIX NOTE 1641 1. SOMEONE ELSE 53 2. BOTH SOMEONE ELSE AND SELF 245 3. SELF ONLY 8. DK 9 9. NA 309 0. INAP, 70, 75, 80, 99 IN 456; 5 OR 9 IN 528 ============================== VAR 840520 NAME-R SUPERVISES OTHERS? COLUMNS 918 - 918 NUMERIC MD=0 OR GE 8 Q.RC.6A DO/DID YOU SUPERVISE ANY WORKERS OR EMPLOYEES AS PART OF YOUR JOB? Q.RC.6B ARE/WERE THERE ANY PEOPLE WHO WORK/WORKED FOR YOU AND ARE/WERE PAID BY YOU? ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Q.Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. SEE APPENDIX NOTE 761 1. YES 1175 5. NO 8. DK 12 9. NA 309 0. INAP, 70, 75, 80, 99 IN 456; 5 OR 9 IN 528; 9 IN 519 ============================== VAR 840521 NAME-R EMP BY GOV/BUS/NONPROF COLUMNS 919 - 919 NUMERIC MD=0 OR GE 8 Q.RC.7A ARE/WERE YOU EMPLOYED BY THE GOVERNMENT, BY A BUSINESS, OR BY A NOT-FOR-PROFIT AGENCY SUCH AS A HOSPITAL, SCHOOL OR SOCIAL SERVICE AGENCY? Q.RC.7B IS/WAS YOUR BUSINESS OR COMPANY A PROFIT-MAKING BUSINESS, OR A NOT-FOR-PROFIT AGENCY SUCH AS A HOSPITAL, SCHOOL OR SOCIAL SERVICE AGENCY? ----------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Q.Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. SEE APPENDIX NOTE 224 1. GOVERNMENT (CODED IN Q.Y6C ONLY) 1420 2. PROFIT-MAKING BUSINESS/COMPANY 233 3. NOT-FOR-PROFIT AGENCY 63 5. NONE;NEITHER OF THESE 3 8. DON'T KNOW 5 9. NA 309 0. INAP, 70, 75, 80, 99 IN 456; 5 OR 9 IN 528 ============================== VAR 840522 NAME-R EMP BUSINESS W/GOV COLUMNS 920 - 920 NUMERIC MD=0 OR GE 8 Q.RC.8A IS/WAS MOST OF YOUR EMPLOYER'S BUSINESS WITH THE GOVERNMENT? Q.RC.8B IS/WAS MOST OF YOUR BUSINESS WITH THE GOVERNMENT? ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Q.Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. SEE APPENDIX NOTE 114 1. YES 1571 5. NO 33 8. DK 6 9. NA 533 0. INAP, 70, 75, 80, 99 IN 456; 5 OR 9 IN 528; 1 IN 521 (Q.Y6C ONLY) ============================== VAR 840523 NAME-R BUSINESS W/FED/ST/LOC COLUMNS 921 - 921 NUMERIC MD=0 OR GE 8 Q.RC.9 IS/WAS THAT PRIMARILY THE FEDERAL GOVERNMENT, OR THE STATE OR LOCAL GOVERNMENT? ------------------------------------------------------------ THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Q.Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. SEE APPENDIX NOTE 139 1. FEDERAL 108 3. STATE 79 5. LOCAL 5 7. OTHER, SPECIFY 3 8. DK 4 9. NA 1919 0. INAP, 70, 75, 80, 99 IN 456; 5 OR 9 IN 528; 5,8-9 IN 522 ============================== VAR 840524 NAME-R'S HOURS/WEEK COLUMNS 922 - 923 NUMERIC MD=0 OR GE 98 Q.RC.10 ABOUT HOW MANY HOURS DO/DID YOU WORK ON YOUR JOB IN THE AVERAGE WEEK? ------------------------------------------------------------ THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Q.Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. ACTUAL NUMBER OF HOURS A WEEK CODED SEE APPENDIX NOTE 01. . . 97. NINETY-SEVEN OR MORE 98. DK 99. NA 00. INAP, 70, 75, 80, 99 IN 456; 5 OR 9 IN 528 ============================== VAR 840525 NAME-R WORRIED COLUMNS 924 - 924 NUMERIC MD=0 OR GE 8 Q.RC.11 HOW WORRIED ARE YOU ABOUT LOSING YOUR JOB/FINDING A JOB IN THE NEAR FUTURE; A LOT, SOMEWHAT, OR NOT MUCH AT ALL? ------------------------------------------------------------ THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. (RS WHO ARE RETIRED AND WORKING NOW WERE NOT ASKED THIS QUESTION.) SEE APPENDIX NOTE 189 1. A LOT 222 3. SOMEWHAT 1504 5. NOT MUCH AT ALL 11 8. DON'T KNOW, REFUSED 12 9. NA 319 0. INAP, 15, 51, 70, 75, 80, 99 IN 456; 5 OR 9 IN 528 ============================== VAR 840526 NAME-R JOB W/N 6 MOS COLUMNS 925 - 925 NUMERIC MD=0 OR GE 8 Q.RC.12 HAVE YOU HAD A JOB IN THE PAST SIX MONTHS? --------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. SEE APPENDIX NOTE 63 1. YES 446 5. NO 8. DK 1 9. NA 1747 0. INAP, 10, 15, 16, 17-18, 20, 51, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 528 ============================== VAR 840527 NAME-R LOOKING FOR WORK COLUMNS 926 - 926 NUMERIC MD=0 OR GE 8 Q.RC.13 ARE YOU LOOKING FOR WORK AT THE PRESENT TIME? ------------------------------------------------------ THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. 104 1. YES 389 5. NO 8. DK 17 9. NA 1747 0. INAP, 10, 15, 16, 17-18, 20, 51, 61, 70, 71, 75, 80, 81, 99 IN 456; 5, 9 IN 528 ============================== VAR 840528 NAME-R EVER WORKED COLUMNS 927 - 927 NUMERIC MD=0 OR GE 9 Q.RC.14 HAVE YOU EVER DONE ANY WORK FOR PAY? --------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL RS THAT ARE UNEMPLOYED OR PERMANENTLY DISABLED. SEE APPENDIX NOTE 178 1. YES 11 5. NO 9. NA 2068 0. INAP, 10,15-18,20,50,51,61,70,71,75,80,81,99 IN 456