Version 03 Codebook ------------------- CODEBOOK VARIABLE DOCUMENTATION 1998 POST-ELECTION STUDY (1998.T) 1998 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 Note: variable names in the SAS and SPSS data definition files have a "V" prefix, e.g. "V980003", "VICPSR98" etc. however in the codebook the "V" prefix is omitted (980003,ICPSR98). ============================== VAR VERSION NES VERSION NUMBER COLUMNS 1 - 2 NUMERIC Process.1. VERSION NUMBER --------------------------------------------------------------------- This is the 2-digit number corresponding to version of the data file. (The initial release of the raw data file is data version 01.) See the introductory section of this codebook for note on "version" and "dataset" numbers. ============================== VAR DSETNO NES DATASET NUMBER COLUMNS 3 - 8 CHARACTER Process.2. NES DATASET NUMBER --------------------------------------------------------------------- Dataset number 1998.T. See the introductory section of this codebook for note on "version" and "dataset" numbers. ============================== VAR ICPSR98 ICPSR STUDY NUMBER COLUMNS 9 - 12 NUMERIC Process.3. ICPSR STUDY NUMBER --------------------------------------------------------------------- This is the Study number within the ICPSR archive. 2684 ============================== VAR 980001 CASE ID COLUMNS 13 - 16 NUMERIC Process.4. 1998 Case ID --------------------------------------------------------------------- Cases 0001-1281. ============================== VAR 980002 POST-STRATifIED SAMPLE WEIGHT COLUMNS 17 - 22 NUMERIC DEC. 4 Process.5. 1998 Sample weight --------------------------------------------------------------------- This weight compensates for the unequal probabilities of selection for respondents in different size households and for different non-response across geographic sample design categories. It is post-stratified. This is a 6-digit variable with a coded decimal point and 4 actual decimal places. ============================== VAR 980003 MONTH OF INTERVIEW COLUMNS 23 - 24 NUMERIC MD GE 99 Admin.2. Month of interview --------------------------------------------------------------------- 860 11. November 421 12. December 99. NA ============================== VAR 980004 DAY OF INTERVIEW COLUMNS 25 - 26 NUMERIC MD GE 99 Admin.1. Day of interview --------------------------------------------------------------------- Day of interview 1-31 coded, except: 99. NA ============================== VAR 980005 # OF DAYS BEFORE ELECTION DAY COLUMNS 27 - 28 NUMERIC MD GE 99 Admin.3. Number of days after Election Day --------------------------------------------------------------------- This variable is based on the date of interview. It counts the number of days after the election day (November 3, 1998). 99. NA ============================== VAR 980006 BEGINNING TIME (LOCAL) COLUMNS 29 - 32 NUMERIC MD GE 9999 Admin.4. Beginning time (local) --------------------------------------------------------------------- 24 hour clock is used, midnight to 11:59 p.m. (0000-2359), except: 9999. NA ============================== VAR 980007 ENDING TIME (LOCAL) COLUMNS 33 - 36 NUMERIC MD GE 9999 Admin.5. Ending time (local) --------------------------------------------------------------------- Due to error in the CAPI instrument, ending time was not recorded. 9999. NA ============================== VAR 980008 LENGTH OF INTERVIEW IN MINUTES COLUMNS 37 - 42 NUMERIC DEC.2 MD GE 999 Admin.6. Interview length in minutes --------------------------------------------------------------------- The average interview length is 65.9 minutes. Note: interview length is the amount of lapsed time between the beginning and ending of the interview as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. The actual number of minutes (2 decimal places) is coded, except: 999. NA ============================== VAR 980009 INTERVIEW NUMBER COLUMNS 43 - 44 NUMERIC MD GE 99 Admin.7. Interview number --------------------------------------------------------------------- This number records the sequence in which each interviewer's interviews were completed. 01 is the first interview taken by a particular interviewer. Actual number is coded except: 999.00 NA ============================== VAR 980010 DATE OF BEINNING VQ FILE COLUMNS 45 - 45 NUMERIC MD GE 9 Admin.8. Date of Beginning VQ file --------------------------------------------------------------------- This refers to the VQ file loaded when the interview began. Changes were made to the VQ (CAPI application) while in the field. The next variable documents the VQ version in use at the end of the interview; note that if an interview was temporarily halted and a new VQ was installed prior to the resumption of interviewing, the VQ in effect for some questions would not be the VQ coded here. 102 1. 10/28/98 161 2. 11/5/98 76 3. 11/9/98 559 4. 11/10/98 383 5. 11/30/98 9. NA ============================== VAR 980011 DATE OF ENDING VQ FILE COLUMNS 46 - 46 NUMERIC MD GE 9 Admin.9. Date of Ending VQ file --------------------------------------------------------------------- This refers to the VQ file loaded when the interview concluded. Changes were made to the VQ (CAPI application) while in the field. This variable documents the VQ version in use at the end of the interview; note that if an interview was temporarily halted and a new VQ was installed prior to the resumption of interviewing, the VQ in effect for some questions would not be the beginning VQ (previous var). 82 1. 10/28/98 143 2. 11/5/98 72 3. 11/9/98 545 4. 11/10/98 439 5. 11/30/98 9. NA ============================== VAR 980012 FLAG - CHANge IN VQ COLUMNS 47 - 47 NUMERIC MD GE 9 Admin.10. FLAG - change in VQ VERSION --------------------------------------------------------------------- Several changes to the CAPI application were made during the field period. This variable flags whether a suspended interview was resumed with a different version of the application. 1170 0. No change in VQ 111 1. VQ changed 9. NA ============================== VAR 980013 PAYMENT AMOUNT COLUMNS 48 - 49 NUMERIC MD EQ 0, GE 99 Admin.11. Payment amount --------------------------------------------------------------------- 913 10. $10 respondent payment 118 30. $30 respondent payment 250 50. $50 respondent payment 99. NA 00. INAP, no respondent payment ============================== VAR 980013a PAYMENT MODE COLUMNS 50 - 50 NUMERIC MD GE 9 Admin.11a. Payment mode --------------------------------------------------------------------- 1173 1. Check 107 2. Cash 1 9. NA ============================== VAR 980013b PAYMENT DATE COLUMNS 51 - 54 NUMERIC MD GE 9999 Admin.11b. Payment date --------------------------------------------------------------------- This is a 4-digit number indicating 2-digit month and 2-digit day. 9999. NA ============================== VAR 980014 WAS INTERVIEW TAPE RECORDED COLUMNS 55 - 55 NUMERIC MD GE 9 Admin.12. Was interview tape recorded --------------------------------------------------------------------- This variable applies to both telephone and personal interviews. 88 1. Yes 875 5. No 318 9. NA ============================== VAR 980015 VERifICATION INDICATOR COLUMNS 56 - 56 NUMERIC MD GE 9 Admin.13. Verification indicator --------------------------------------------------------------------- A verification process was used for a subset of cases by which a Supervisor attempted to reach the respondent to confirm that an IW was completed and to confirm several facts. 1062 0. Not flagged for verification 42 1. Flagged for verification 163 2. Verified 5 3. Verified with discrepancy 4. Not verified 7 5. Unable to verify 2 9. NA ============================== VAR 980016 EVALUATION INDICATOR COLUMNS 57 - 57 NUMERIC MD GE 9 Admin.14. Evaluation indicator --------------------------------------------------------------------- An evaluation process was used for a subset of cases by which a Supervisor or team leader examined completed interviews to determine how well the interviewer administered the interview. 1164 0. Interview not evaluated 9 1. Interview evaluated by supervisor 108 2. Interview evaluated by team leader 9. NA ============================== VAR 980017 REFUSAL CONVERSION INDICATOR COLUMNS 58 - 58 NUMERIC MD GE 9 Admin.15. Refusal conversion indicator --------------------------------------------------------------------- This refers to interviews initially refused by someone when an interviewer was first attempting contact. The source of this refusal may or may not have been the Respondent. Conversion may be made by the initial interviewer or another interviewer. If the conversion is not made by the initial interviewer, the interviewer of record is the interviewer obtaining the conversion. 198 1. Refusal conversion attempted 1083 5. Not a refusal conversion situation 9. NA ============================== VAR 980018 WAS PERSUASION LETTER SENT COLUMNS 59 - 59 NUMERIC MD GE 9 Admin.16. Was persuasion letter sent? --------------------------------------------------------------------- 141 1. A persuasion letter was sent to R 1140 2. No persuasion letter was sent 9. NA ============================== VAR 980018a PERSUASION LETTER ReqUESTED COLUMNS 60 - 63 NUMERIC MD EQ 0, GE 9999 Admin.16a. Date persuasion letter requested --------------------------------------------------------------------- This 4-digit number indicates the 2-digit month and 2-digit day when request for payment letter was made. 9999. NA 0000. Inap, no persuasion letter requested ============================== VAR 980018b PERSUASION LETTER SENT COLUMNS 64 - 67 NUMERIC MD EQ 0, GE 9999 Admin.16b. Date persuasion letter sent --------------------------------------------------------------------- This 4-digit number indicates the 2-digit month and 2-digit day when request for payment letter was sent. 9999. NA 0000. Inap, no persuasion letter sent ============================== VAR 980019 TYPE OF PERSUASION LETTER COLUMNS 68 - 68 NUMERIC MD EQ 0, GE 9 Admin.17. IF PERSUASION LETTER WAS SENT: Type of persuasion letter --------------------------------------------------------------------- 1140 0. No persuasion letter sent 13 1. A."Too busy" 4 2. B."Too personal" 24 3. C."Not interested" 6 4. D."Too old" 30 5. E. Evasive 2 6. F. Gatekeeper 1 7. X. Not at home 61 9. NA ============================== VAR 980020 NUMBER OF TELEPHONE CALLS COLUMNS 69 - 70 NUMERIC MD GE 99 Admin.18. Number of telephone calls --------------------------------------------------------------------- Number of telephone calls is coded, except: 99. NA ============================== VAR 980021 NUMBER OF FACE TO FACE CALLS COLUMNS 71 - 72 NUMERIC MD GE 99 Admin.19. Number of face to face calls --------------------------------------------------------------------- Number of personal calls is coded, except: 99. NA ============================== VAR 980022 TOTAL NUMBER OF CALLS (PHONE+FTF) COLUMNS 73 - 74 NUMERIC MD GE 99 Admin.20. Total number of calls (Phone + FtF) --------------------------------------------------------------------- This variable adds the number of phone calls and face to face calls that were made to R's home in order to obtain the interview. Number of calls coded, except: 99. NA (99 in Admin.18/Admin.19) ============================== VAR 980023 FINAL RESULT OF INTERVIEW COLUMNS 75 - 75 NUMERIC Admin.21. Final result code --------------------------------------------------------------------- 1276 1. Interview, complete 5 5. Interview, partial ============================== VAR 980024 BEGINNING MODE--PERSONAL OR PHONE COLUMNS 76 - 76 NUMERIC MD GE 9 Admin.22. Beginning mode, personal or telephone --------------------------------------------------------------------- This is the mode when interview began 991 1. Telephone 290 2. Face to face 9. NA ============================== VAR 980025 ENDING MODE -- PERSONAL OR PHONE COLUMNS 77 - 77 NUMERIC MD GE 9 Admin.23. Ending mode, personal or telephone --------------------------------------------------------------------- This is the mode when interview ended. 990 1. Telephone 291 2. Face to face 9. NA ============================== VAR 980026 FLAG - CHANge IN MODE COLUMNS 78 - 78 NUMERIC MD GE 9 Admin.24. FLAG - change in mode --------------------------------------------------------------------- This documents cases where an interview was suspended and resumed in another mode. 1264 0. No change in mode 17 1. Change in mode 9. NA ============================== VAR 980027 SAMPLE RELEASE COLUMNS 79 - 79 NUMERIC Admin.25. Sample Release --------------------------------------------------------------------- All cases coded 1. There was a single release of the entire sample 1281 1. Released at start of field period ============================== VAR 980028 LANGUAge OF INTERVIEW COLUMNS 80 - 80 NUMERIC Admin.26. Language of interview --------------------------------------------------------------------- All cases conducted entirely in English (code 1) 1281 1. English ============================== VAR 980029 FLAG - MISSING COVERSHEET COLUMNS 81 - 81 NUMERIC MD GE 9 CSheet.1. Flag - missing coversheet --------------------------------------------------------------------- 1273 0. Not missing 8 1. Missing 9. NA ============================== VAR 980030 COLOR OF COVERSHEET COLUMNS 82 - 82 NUMERIC MD EQ 0 CSheet.2. Color of coversheet --------------------------------------------------------------------- 1266 1. Blue (labeled) 7 2. Green (unlabeled) 8 0. Inap, missing coversheet (1 in CSheet.1) ============================== VAR 980031 CS - SOURCE OF HOUSEHOLD LISTING COLUMNS 83 - 83 NUMERIC MD GE 9 CSheet.3. Coversheet Item 6. Household listing obtained from: --------------------------------------------------------------------- 1252 1. HU member 6 2. Neighbor 3. Apartment manager 4. Landlord 5. Observation 15 7. Other 8 9. NA, missing coversheet (1 in CSheet.1) ============================== VAR 980032 CS - SELECTION TABLE COLUMNS 84 - 84 NUMERIC MD GE 9 CSheet.4. Coversheet Item 8 Household listing selection table --------------------------------------------------------------------- The Selection Table is used to select a respondent from all household members who are eligible adults. (An eligible adult is a U.S. citizen who is 18 years of age or older by Election Day.) The Selection Table appears on the Coversheet below the Household Listing. After a complete listing of the HH is taken, each eligible adult is assigned a "Number" based on the criteria of gender and age [beginning with the oldest male as number 1, males are numbered by increments of 1 according to descending age; females are numbered by descending age starting with the number one higher than that assigned to the youngest male]. The interviewer then uses the Selection Table to determine the "Number" of the eligible adult to be interviewed. The Selection Table itself consists of 2 parallel columns. In the first column the interviewer circles the total number of eligible adults in the household; in the second column (same row) is identified the Number" of the person who will be the respondent. There are 8 different Selection Tables used and they are randomly assigned. [Note that although only 8 tables are used, there are 12 codes in this variable because the 8 tables are used in cycles of 12; this procedure is used to equalize the probability of selection for each eligible adult]. A summary describing all 8 Selection Tables appears below. PERSONS PERSON SELECTED (person "Number") --------------------------------- A B1 B2 C D E1 E2 F 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 2 2 2 3 1 1 1 2 2 3 3 3 4 1 1 2 2 3 3 4 4 5 1 2 2 2 4 3 5 5 6 or more 1 2 2 2 4 5 5 6 215 1. Selection Table A 100 2. Selection Table B1 98 3. Selection Table B2 223 4. Selection Table C 214 5. Selection Table D 104 6. Selection Table E1 104 7. Selection Table E2 215 8. Selection Table F 8 9. NA, missing coversheet (1 in CSheet.1) ============================== VAR 980033 CS - PERSON # SELECTED AS R COLUMNS 85 - 85 NUMERIC MD GE 9 CSheet.5. COVERSHEET HOUSEHOLD LISTING: Selection table: person number selected as R. --------------------------------------------------------------------- 786 1. R is person numbered 1 426 2. R is person numbered 2 46 3. R is person numbered 3 13 4. R is person numbered 4 2 5. R is person numbered 5 6. R is person numbered 6 8 9. NA, missing coversheet (1 in CSheet.1) ============================== VAR 980034 CS - TOTAL # OF PERSONS IN HH COLUMNS 86 - 86 NUMERIC MD GE 9 CSheet.6. COVERSHEET HOUSEHOLD LISTING: Total number of persons in HH --------------------------------------------------------------------- 267 1. One person 467 2. Two persons 221 3. Three persons 193 4. Four persons 87 5. Five persons 26 6. Six persons 10 7. Seven persons 2 8. Eight or more persons 8 9. NA, missing coversheet (1 in CSheet.1) ============================== VAR 980035 CS - TOTAL # OF ELIGIBLE ADULTS COLUMNS 87 - 87 NUMERIC MD GE 9 CSheet.7. COVERSHEET HOUSEHOLD LISTING: Total number of eligible adults in HU --------------------------------------------------------------------- 368 1. One eligible adult 733 2. Two eligible adults 112 3. Three eligible adults 52 4. Four eligible adults 8 5. Five eligible adults 6. Six eligible adults 8 9. NA, missing coversheet (1 in CSheet.1) ============================== VAR 980036 CS - HOUSEHOLD COMPOSITION CODE COLUMNS 88 - 89 NUMERIC MD GE 99 CSheet.8. COVERSHEET HOUSEHOLD LISTING: Household composition code. --------------------------------------------------------------------- The HH composition code is derived from information provided in the household listing. "Adults" are 18 years of age (by election day) or older; all individuals included in the HH composition codes below refer to adults. A designation of a HH member as "the householder" (HHR) describes HU member who owns or rents the home (in whose name the lease is held). Cohabiting couples are coded as married (30,40, 50-52). Roommates of opposite sex are coded 11,12,21,22; in all cases of unrelated roommates the respondent is HHR. 1998 Note: Case 1127 has been coded 30 due to marital status, although wife was not yet adult (under 18). 137 10. 1 adult male HHR 21 11. 1 adult male HHR plus 1 other non-relative 32 12. 1 adult male HHR plus 2 or more non-relatives 217 20. 1 adult female HHR 17 21. 1 adult female HHR plus 1 other non-relative 8 22. 1 adult female HHR plus 2 or more non-relatives 630 30. 1 married couple: no children or all children living at home are under 18 95 40. 1 married couple plus 1 other relative 25 50. 1 married couple plus 2 or more other relatives 4 51. 1 married couple plus 1 other non-relative 1 52. 1 married couple plus 2 or more non-relatives 26 60. 1 unmarried male HHR plus 1 other relative 4 70. 1 unmarried male HHR plus 2 or more other relatives 39 80. 1 unmarried female HHR plus 1 other relative 17 90. 1 unmarried female HHR plus 2 or more other relatives 95. Relatives of opposite sex, unclear who is HHR 8 99. NA, missing coversheet (1 in CSheet.1) ============================== VAR 980037 CS - # OF CHILDREN UNDER 6 YRS OLD COLUMNS 90 - 90 NUMERIC MD GE 9 CSheet.9. COVERSHEET HOUSEHOLD LISTING: Number of children under 6 years old in household. --------------------------------------------------------------------- 1078 0. No children under 6 years old in HH 124 1. One child 54 2. Two children 8 3. Three children 3 4. Four children 5. Five children 14 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980038 CS - # OF CHILDREN 6-9 YRS OLD COLUMNS 91 - 91 NUMERIC MD GE 9 CSheet.10. COVERSHEET HOUSEHOLD LISTING: Number of children 6-9 years old in household. --------------------------------------------------------------------- 1119 0. No children 6-9 years old 98 1. One child 24 2. Two children 5 3. Three children 4. Four children 5. Five children 35 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980039 CS - # OF CHILDREN 10-13 YRS OLD COLUMNS 92 - 92 NUMERIC MD GE 9 CSheet.11. COVERSHEET HOUSEHOLD LISTING: Number of children 10-13 years old in household. --------------------------------------------------------------------- 1091 0. No children 10-13 years old 125 1. One child 29 2. Two children 2 3. Three children 4. Four children 5. Five children 34 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980040 CS - # OF CHILDREN 14-17 YRS OLD COLUMNS 93 - 93 NUMERIC MD GE 9 CSheet.12. COVERSHEET HOUSEHOLD LISTING: Number of children 14-17 years old in household. --------------------------------------------------------------------- 1089 0. No children 14-17 years old 135 1. One child 23 2. Two children 3. Three children 4. Four children 5. Five children 34 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980041 SUMMARY - Number of Children in HH COLUMNS 94 - 95 NUMERIC MD GE 99 CSheet.13. COVERSHEET HOUSEHOLD LISTING: SUMMARY - NUMBER OF CHILDREN IN HOUSEHOLD --------------------------------------------------------------------- Information about R's children may be found in Y29, Y29a- Y29b. CSheet.13 and Y29/Y29a-b information may differ. Actual number and: 99. NA (NA in any of CSheet.9-CSheet12); missing coversheet (1 in CSheet.1) ============================== VAR 980042 CS - TYPE OF HOUSING UNIT COLUMNS 96 - 96 NUMERIC MD GE 9 CSheet.14. COVERSHEET CONTACT DESCRIPTION PAGE, Item CD1 Describe the type of structure in which the respondent lives (sample address). --------------------------------------------------------------------- 52 1. Mobile home 830 2. Detached single family 42 3. Multi-family 255 4. Apartment house 43 5. Condo complex 25 7. Other (specify) 34 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980043 CS - GATEKEEPER ReqUIRED TO ACCESS HU COLUMNS 97 - 97 NUMERIC MD GE 9 CSheet.15. COVERSHEET CONTACT DESCRIPTION PAGE, Item CD2. Is there a building manager, security guard, or other gatekeeper whose cooperation you need to gain access to the R's housing unit? --------------------------------------------------------------------- 32 1. Yes 20 2. No, but building is locked/subdivision is gated and locked 1177 5. No 52 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980044 CS - GATEKEEPER DESCRIPTION COLUMNS 98 - 98 NUMERIC MD EQ 0, GE 9 CSheet.16. IF BUILDING MANAGER / GUARD / GATEKEEPER OR LOCKED: COVERSHEET CONTACT DESCRIPTION PAGE, Item CD2a Check the box below that best describes the situation. --------------------------------------------------------------------- 11 1. Building Manager or other Gatekeeper must let you in the building (on the grounds, into the mobile home 6 2. Building Manager/ other Gatekeeper must get permission from someone in R's HU before you are 31 7. Other (describe situation) 4 9. NA 1229 0. Inap, no gatekeeper or lock situation (5,9 in CSheet.14) ============================== VAR 980045 CS - CONTACT DESC: INITIAL REFUSAL? COLUMNS 99 - 99 NUMERIC MD GE 9 CSheet.17. COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3c Did R refuse initially? --------------------------------------------------------------------- 176 1. Yes 1083 5. No 22 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980046 CS - CONTACT DESC: BROKEN APPOINTMENT? COLUMNS 100 - 100 NUMERIC MD GE 9 CSheet.18. COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3d. Did R break any appointment? --------------------------------------------------------------------- 1002 0. None 192 1. One 71 2. Two or more 16 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980047 CS - RESISTANCE TO INTERVIEW? COLUMNS 101 - 101 NUMERIC MD GE 9 CSheet.19. COVERSHEET CONTACT DESCRIPTION PAGE, Items CD3e(1)-CD3e(8) SUMMARY: Resistance from R --------------------------------------------------------------------- This question indicates whether any resistance from R was identified in questions CSheet.20-CSheet.27 279 1. Yes 974 5. No 28 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980048 CS - REASON FOR RESISTANCE: WASTE TIME COLUMNS 102 - 102 NUMERIC MD GE 9 CSheet.20. COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(1). If there was any resistance from the R, what reasons were given: . . . (A) Surveys are a waste of time; previous bad experience --------------------------------------------------------------------- 13 1. Marked 1240 5. Not marked 28 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980049 CS - REASON FOR RESISTANCE: VERY ILL COLUMNS 103 - 103 NUMERIC MD GE 9 CSheet.21. COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(2). If there was any resistance from the R, what reasons were given: . . . (B) Very ill --------------------------------------------------------------------- 10 1. Marked 1243 5. Not marked 28 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980050 CS - REASON FOR RESISTANCE: TOO BUSY COLUMNS 104 - 104 NUMERIC MD GE 9 CSheet.22. COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(3). If there was any resistance from the R, what reasons were given: . . . (C) 'Too busy' --------------------------------------------------------------------- 107 1. Marked 1146 5. Not marked 28 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980051 CS - REASON:STRESSFUL FAMILY SITUATION COLUMNS 105 - 105 NUMERIC MD GE 9 CSheet.23. COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(4). If there was any resistance from the R, what reasons were given: . . . (D) Stressful family situation --------------------------------------------------------------------- 18 1. Marked 1235 5. Not marked 28 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980052 CS - REASON RESISTANCE: CONFIDENTIALTY COLUMNS 106 - 106 NUMERIC MD GE 9 CSheet.24. COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(5). If there was any resistance from the R, what reasons were given: . . . (E) Confidentiality --------------------------------------------------------------------- 18 1. Marked 1235 5. Not marked 28 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980053 CS - REASON FOR RESISTANCE: PRIVACY COLUMNS 107 - 107 NUMERIC MD GE 9 CSheet.25. COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(6). If there was any resistance from R, what reasons were given: . . . (F) Invasion of privacy --------------------------------------------------------------------- 22 1. Marked 1231 5. Not marked 28 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980054 CS - REASON FOR RESISTANCE: NONE GIVEN COLUMNS 108 - 108 NUMERIC MD GE 9 CSheet.26. COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(7). If there was any resistance from R, what reasons were given: . . . (G) No reason given --------------------------------------------------------------------- This question was intended to document cases where R offered resistance but gave no reason for resisting. In some cases, the interviewer misunderstood the question as if it indicated whether or not R offered resistance. During coding of coversheets, an attempt was made to recode this variable as 'unmarked' if 'marked were coded but there were clear indications that the Respondent was very eager or willing to be interviewed. (Summary CSheet.18 summarizes whether any type of resistance was offered by R.) 51 1. Marked 1202 5. Not marked 28 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980055 CS - REASON FOR RESISTANCE: OTHER COLUMNS 109 - 109 NUMERIC MD GE 9 CSheet.27. COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(8). If there was any resistance from the R, what reasons were given: . . . (H) Other (specify) --------------------------------------------------------------------- 105 1. Marked 1148 5. Not marked 28 9. NA; missing coversheet (1 in CSheet.1) ============================== VAR 980056 INTERVIEWER OF RECORD ID COLUMNS 110 - 113 NUMERIC MD GE 9999 IWR.1. Interviewer of record ID --------------------------------------------------------------------- Interviewer's 4-digit ID and: 9999. NA ============================== VAR 980057 SUPERVISOR ID COLUMNS 114 - 117 NUMERIC MD GE 9999 IWR.2. Supervisor ID --------------------------------------------------------------------- Field Supervisor's 4-digit ID and: 9999. NA ============================== VAR 980058 INTERVIEWER geNDER COLUMNS 118 - 118 NUMERIC MD GE 9 IWR.3. Interviewer gender --------------------------------------------------------------------- 119 1. Male 1162 2. Female 9. NA ============================== VAR 980059 INTERVIEWER EDUCATION COLUMNS 119 - 119 NUMERIC MD GE 9 IWR.4. Interviewer education --------------------------------------------------------------------- 1. 1-8 grades 2. Some high school 174 3. High school graduate 447 4. Some college 488 5. College degree 154 6. Master's degree 7. Ph.D. 18 9. NA ============================== VAR 980060 INTERVIEWER RACE COLUMNS 120 - 120 NUMERIC MD GE 9 IWR.5. Interviewer race --------------------------------------------------------------------- 1224 1. White 29 2. Black 3. Native American 4. Asian 3 7. Other 25 9. NA ============================== VAR 980061 INTERVIEWER ETHNICITY COLUMNS 121 - 121 NUMERIC MD GE 9 IWR.6. Interviewer ethnicity --------------------------------------------------------------------- 986 0. No ethnic identity coded 54 1. Hispanic 194 7. Other 47 9. NA ============================== VAR 980062 INTERVIEWER LANGUAgeS COLUMNS 122 - 122 NUMERIC MD GE 9 IWR.7. Interviewer languages --------------------------------------------------------------------- 1137 0. English (only) 104 1. Spanish 32 7. Other 8 9. NA ============================== VAR 980063 INTERVIEWER YEARS EXPERIENCE COLUMNS 123 - 124 NUMERIC MD GE 99 IWR.8. Interviewer experience --------------------------------------------------------------------- Interviewer's years of experience, and: 99. NA ============================== VAR 980064 INTERVIEWER Age (BRACKETTED) COLUMNS 125 - 125 NUMERIC MD GE 9 IWR.9. Interviewer age (bracketed) --------------------------------------------------------------------- 79 1. 18-34 years 65 2. 35-40 years 84 3. 41-45 years 186 4. 46-50 years 359 5. 51-55 years 104 6. 56-60 years 83 7. 61-64 years 321 8. 65-79 years 9. NA ============================== VAR 980065 RACE TYPE: HOUSE COLUMNS 126 - 127 NUMERIC MD EQ 0 Cand.1. Type of race: House --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent type of race in the congressional district of R's 1998 interview location. For a complete list of codes usable for type of congressional race, see TYPE RACE Master Code. SPECIAL NOTE: The race in AL07 had the Democratic incumbent candidate incorrectly identified as a Republican incumbent candidate. For cases in this district, this variable should be code 14 (not 24). In addition, the race in CA41 was identififed as type race 12 but should have been type race 55. For cases in both of these districts, all 1998 study data remain coded in accordance with the incorrect race type administered (the candidate codes in V980068 and V980071 are also incorrect). 331 12. Democrat incumbent running -- Republican challenger 81 14. Democrat incumbent running unopposed 480 21. Republican incumbent running -- Democratic challenger 267 24. Republican incumbent running unopposed 74 55. Democratic incumbent not running -- Democratic and Republican candidates 46 65. Republican incumbent not running -- Democratic and 2 00. Washington D.C. ============================== VAR 980065a OUTSIDE RACE TYPE: HOUSE COLUMNS 128 - 129 NUMERIC MD EQ 0, GE 99 Cand.1a. R VOTED OUTSIDE CD OF IW: Type of race: House --------------------------------------------------------------------- Codes represent type of race in the congressional district of R's 1998 vote. 12. Democrat incumbent running -- Republican challenger 1 14. Democrat incumbent running unopposed 5 21. Republican incumbent running -- Democratic challenger 1 24. Republican incumbent running unopposed 55. Democratic incumbent not running -- Democratic and Republican candidates 65. Republican incumbent not running -- Democratic and Republican candidates 7 99. NA (outside CD not identified) 1267 00. Inap, R voted within CD of IW; Washington D.C. ============================== VAR 980066 RACE TYPE: SENATE COLUMNS 130 - 131 NUMERIC MD EQ 0 Cand.2. Type of race: Senate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent type of race in 1998 sample state. For a complete list of codes usable for type of Senate race, see TYPE RACE Master Code. 371 12. Democratic incumbent running -- Republican challenger 361 21. Republican incumbent running -- Democratic challenger 43 55. Democratic incumbent not running -- Democratic and Republican candidates 55 65. Republican incumbent not running -- Democratic and Republican candidates 45 81. Democratic incumbents -- no race in state 167 82. Republican incumbents -- no race in state 237 85. Democratic and Republican incumbents -- no race in state 2 00. Inap, Washington DC ============================== VAR 980066a OUTSIDE RACE TYPE: SENATE COLUMNS 132 - 133 NUMERIC MD EQ 0, GE 99 Cand.2a. R VOTED OUTSIDE STATE OF IW: Type of race: Senate --------------------------------------------------------------------- Codes represent type of race in the state of R's 1998 vote. 1 12. Democratic incumbent running -- Republican challenger 21. Republican incumbent running -- Democratic challenger 55. Democratic incumbent not running -- Democratic and Republican candidates 65. Republican incumbent not running -- Democratic and Republican candidates 81. Democratic incumbents -- no race in state 1 82. Republican incumbents -- no race in state 85. Democratic and Republican incumbents -- no race in state 1 99. NA (outside CD not identified) 1278 00. Inap, R voted in state of IW; Washington DC ============================== VAR 980067 RACE TYPE: GUBERNATORIAL COLUMNS 134 - 135 NUMERIC MD EQ 0 Cand.3. Type of Race: Gubernatorial --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent type of race in 1998 sample state. For a complete list of codes usable for type of Gubernatorial race, see TYPE RACE Master Code. 81 12. Democratic incumbent running -- Republican challenger 559 21. Republican incumbent running -- Democratic challenger 113 55. Democratic incumbent not running -- Democratic and Republican candidates 242 65. Republican incumbent not running -- Democratic and Republican candidates 107 81. Democratic incumbent not running -- no race in state 177 82. Republican incumbent not running -- no race in state 2 00. Inap, Washington DC ============================== VAR 980067a OUTSIDE RACE TYPE: GUBERNATORIAL COLUMNS 136 - 137 NUMERIC MD EQ 0, GE 99 Cand.3a. R VOTED OUTSIDE STATE OF IW: Type of Race: Gubernatorial --------------------------------------------------------------------- Codes represent type of race in the state of R's 1998 vote. 12. Democratic incumbent running -- Republican challenger 21. Republican incumbent running -- Democratic challenger 55. Democratic incumbent not running -- Democratic and Republican candidates 65. Republican incumbent not running -- Democratic and Republican candidates 1 81. Democratic incumbent not running -- no race in state 1 82. Republican incumbent not running -- no race in state 1 99. NA (outside CD not identified) 1278 00. Inap, R voted in state of IW; Washington DC ============================== VAR 980068 DEMOCRATIC HOUSE CANDIDATE CODE COLUMNS 138 - 139 NUMERIC MD EQ 0 Cand.4. Candidate Code - House Democratic candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent candidate in the congressional district of R's 1998 interview location. SPECIAL NOTE: The race in AL07 had the unopposed Democratic incumbent (33) candidate incorrectly identified as an unopposed Republican incumbent candidate (34) so that this variable was coded 0. In addition, the Democratic candidate in CA41 was incorrectly identified as candidate number 33 but should have been candidate number 31 (open race). For cases in both of these districts, all 1998 study data are coded in accordance with the incorrect candidate code as administered (the code for type of House race in V980065 is also incorrect). 120 31. Open race Democratic House candidate 416 33. Incumbent Democratic House candidate 476 35. Challenging Democratic House candidate 269 00. No Democratic House candidate (24 in Cand.1); Washington DC ============================== VAR 980068a OUTSIDE DEM HOUSE CANDIDATE CODE COLUMNS 140 - 141 NUMERIC MD EQ 0, GE 99 Cand.4a. R VOTED OUTSIDE CD OF IW: Candidate Code - House Democratic candidate --------------------------------------------------------------------- Codes represent candidate in the congressional district of R's 1998 vote. 31. Open race Democratic House candidate 1 33. Incumbent Democratic House candidate 5 35. Challenging Democratic House candidate 7 99. NA (outside CD not identified) 1268 00. Inap, R voted within CD of IW; no Democratic House candidate; Washington DC ============================== VAR 980069 DEMOCRATIC HOUSE CANDIDATE geNDER COLUMNS 142 - 142 NUMERIC MD EQ 0 Cand.5. Candidate gender - House Democratic candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent candidate in the congressional district of R's 1998 interview location. 842 1. Male 170 2. Female 269 0. Inap, no Democratic House candidate (24 in Cand.1); Washington DC ============================== VAR 980069a OUTSIDE DEM HOUSE CANDIDATE GENDER COLUMNS 143 - 143 NUMERIC MD EQ 0, GE 9 Cand.5a. R VOTED OUTSIDE CD OF IW: Candidate gender - House Democratic candidate --------------------------------------------------------------------- Codes represent candidate in the congressional district of R's 1998 vote. 6 1. Male 2. Female 7 9. NA (outside CD not identified) 1268 0. Inap, R voted within CD of IW; no Democratic House candidate in CD of vote; Washington DC ============================== VAR 980070 DEMOCRATIC HOUSE CANDIDATE NAME COLUMNS 144 - 168 CHARACTER Cand.6. Candidate name - House Democratic candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Name represents candidate in the congressional district of R's 1998 interview location (blank if no Democratic House candidate). ============================== VAR 980070a OUTSIDE DEM HOUSE CANDIDATE NAME COLUMNS 169 - 185 CHARACTER Cand.6a. R VOTED OUTSIDE CD OF IW: Candidate name - House Democratic candidate --------------------------------------------------------------------- Name represents candidate in the congressional district of R's 1998 vote. ============================== VAR 980071 REPUBLICAN HOUSE CANDIDATE CODE COLUMNS 186 - 187 NUMERIC MD EQ 0 Cand.7. Candidate Code - House Republican candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent candidate in the congressional district of R's 1998 interview location. SPECIAL NOTE: The race in AL07 had the unopposed Democratic incumbent (33) candidate incorrectly identified as an unopposed Republican incumbent candidate (34) so that this variable was coded 34 but should have been 0. In addition, the Republican candidate in CA41 was incorrectly identififed as candidate number 36 but should have been candidate number 32 (open race). For cases in both of these districts, all 1998 study data are coded in accordance with the incorrect candidate code as administered (the code for type of House race in V980065 is also incorrect). Additional note: cases in CA20 and FL22 had the correct code for type of House race identififed (V980065) but an incorrect candidate code number preloaded for the Republican candidate. In CA20, 34 was coded but should have been 36; in FL22, 32 was coded in this variable but should have been 34. In both of these districts, the correct Democratic candidate code was preloaded (V980068). 121 32. Open race Republican House candidate 746 34. Incumbent Republican House candidate 331 36. Challenging Republican House candidate 99. NA 83 00. No Republican House candidate (14 in Cand.1); Washington DC ============================== VAR 980071a OUTSIDE REPUB HOUSE CANDIDATE CODE COLUMNS 188 - 189 NUMERIC MD EQ 0, GE 99 Cand.7a. R VOTED OUTSIDE CD OF IW: Candidate Code - House Republican candidate --------------------------------------------------------------------- Codes represent candidate in the congressional district of R's 1998 vote. 32. Open race Republican House candidate 5 34. Incumbent Republican House candidate 36. Challenging Republican House candidate 7 99. NA (outside CD not identified) 1269 00. Inap, R voted within CD of IW; no Republican House candidate; Washington DC ============================== VAR 980072 REPUBLICAN HOUSE CANDIDATE geNDER COLUMNS 190 - 190 NUMERIC MD EQ 0 Cand.8. Candidate gender - House Republican candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent candidate in the congressional district of R's 1998 interview location. 1009 1. Male 189 2. Female 83 0. Inap, no Republican House candidate (14 in Cand.1); Washington DC ============================== VAR 980072a OUTSIDE REPUB HOUSE CANDIDATE geNDER COLUMNS 191 - 191 NUMERIC MD EQ 0, GE 9 Cand.8a. R VOTED OUTSIDE CD OF IW: Candidate gender - House Republican candidate --------------------------------------------------------------------- Codes represent candidate in the congressional district of R's 1998 vote. 3 1. Male 2 2. Female 7 9. NA (outside CD not identified) 1269 0. Inap, R voted within CD of IW; no Republican House candidate in CD of vote; Washington DC ============================== VAR 980073 REPUBLICAN HOUSE CANDIDATE NAME COLUMNS 192 - 218 CHARACTER Cand.9. Candidate name - House Republican candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Name represents candidate in the congressional district of R's 1998 interview location (blank if no Republican House candidate) ============================== VAR 980073a OUTSIDE REPUB HOUSE CANDIDATE NAME COLUMNS 219 - 248 CHARACTER Cand.9a. R VOTED OUTSIDE CD OF IW: Candidate name - House Republican candidate --------------------------------------------------------------------- Name represents candidate in the congressional district of R's 1998 vote. ============================== VAR 980074 DEMOCRATIC SENATE CANDIDATE CODE COLUMNS 249 - 250 NUMERIC MD EQ 0 Cand.10. Candidate Code - Senate Democratic candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent candidate in the state of R's 1998 interview location. 98 11. Open race Democratic Senate candidate 371 13. Incumbent Democratic Senate candidate 361 15. Challenging Democratic Senate candidate 451 00. Inap, no Senate race in state; Washington CD ============================== VAR 980074a OUTSIDE DEM SENATE CANDIDATE CODE COLUMNS 251 - 252 NUMERIC MD EQ 0, GE 99 Cand.10a. R VOTED OUTSIDE STATE OF IW: Candidate Code - Senate Democratic candidate --------------------------------------------------------------------- Codes represent candidate in the state of R's 1998 vote. 11. Open race Democratic Senate candidate 1 13. Incumbent Democratic Senate candidate 15. Challenging Democratic Senate candidate 1 99. NA (outside CD not identified) 1279 00. Inap, R voted within state of IW; Washington DC; no senate race in state of vote ============================== VAR 980075 DEMOCRATIC SENATE CANDIDATE geNDER COLUMNS 253 - 253 NUMERIC MD EQ 0 Cand.11. Candidate gender - Senate Democratic candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent candidate in the state of R's 1998 interview location. 623 1. Male 207 2. Female 451 0. Inap, no Senate race in state; Washington DC ============================== VAR 980075a OUTSIDE DEM SENATE CANDIDATE geNDER COLUMNS 254 - 254 NUMERIC MD EQ 0, GE 9 Cand.11a. R VOTED OUTSIDE STATE OF IW: Candidate gender - Senate Democratic candidate --------------------------------------------------------------------- Codes represent candidate in the state of R's 1998 vote. 1. Male 1 2. Female 1 9. NA (outside CD not identified) 1279 0. Inap, R voted in state of IW; no Senate race in state of vote; Washington DC ============================== VAR 980076 DEMOCRATIC SENATE CANDIDATE NAME COLUMNS 255 - 277 CHARACTER Cand.12. Candidate name - Senate Democratic candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Name represents candidate in the state of R's 1998 interview location. ============================== VAR 980076a OUTSIDE DEM SENATE CANDIDATE NAME COLUMNS 278 - 289 CHARACTER Cand.12a. R VOTED OUTSIDE STATE OF IW: Candidate name - Senate Democratic candidate --------------------------------------------------------------------- Name represents candidate in the state of R's 1998 vote. ============================== VAR 980077 REPUBLICAN SENATE CANDIDATE CODE COLUMNS 290 - 291 NUMERIC MD EQ 0 Cand.13. Candidate Code - Senate Republican candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent candidate in the state of R's 1998 interview location. 98 12. Open Race Republican Senate candidate 361 14. Incumbent Republican Senate candidate 371 16. Challenging Republican Senate candidate 451 00. No Senate race in state; Washington DC ============================== VAR 980077a OUTSIDE REPUB SENATE CANDIDATE CODE COLUMNS 292 - 293 NUMERIC MD EQ 0, GE 99 Cand.13a. R VOTED OUTSIDE STATE OF IW: Candidate Code - Senate Republican candidate --------------------------------------------------------------------- Codes represent candidate in the state of R's 1998 vote. 12. Open Race Republican Senate candidate 14. Incumbent Republican Senate candidate 1 16. Challenging Republican Senate candidate 1 99. NA (outside CD not identified) 1279 00. Inap, R voted in state of IW; no Senate race in state of vote; Washington DC ============================== VAR 980078 REPUBLICAN SENATE CANDIDATE geNDER COLUMNS 294 - 294 NUMERIC MD EQ 0 Cand.14. Candidate gender - Senate Republican candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent candidate in the state of R's 1998 interview location. 794 1. Male 36 2. Female 451 0. Inap, no Senate race in state; Washington DC ============================== VAR 980078a OUTSIDE REPUB SENATE CANDIDATE geNDER COLUMNS 295 - 295 NUMERIC MD EQ 0, GE 9 Cand.14a. R VOTED OUTSIDE STATE OF IW: Candidate gender - Senate Republican candidate --------------------------------------------------------------------- Codes represent candidate in the state of R's 1998 vote. 1. Male 1 2. Female 1 9. NA (outside CD not identified) 1279 0. Inap, R voted within state of IW; no Senate race in state of vote; Washington DC ============================== VAR 980079 REPUBLICAN SENATE CANDIDATE NAME COLUMNS 296 - 322 CHARACTER Cand.15. Candidate name - Senate Republican candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Name represents candidate in the state of R's 1998 interview location. ============================== VAR 980079a OUTSIDE REPUB SENATE CANDIDATE NAME COLUMNS 323 - 335 CHARACTER Cand.15a. R VOTED OUTSIDE STATE OF IW: Candidate name - Senate Republican candidate --------------------------------------------------------------------- Name represents candidate in the state of R's 1998 vote. ============================== VAR 980080 DEMOCRATIC GUBERNATORIAL CANDIDATE CODE COLUMNS 336 - 337 NUMERIC MD EQ 0 Cand.16. Candidate Code - Gubernatorial Democratic candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent candidate in the state of R's 1998 interview location. 355 51. Open race Democratic gubernatorial candidate 81 53. Incumbent Democratic gubernatorial candidate 559 55. Challenging Democratic gubernatorial candidate 286 00. Inap, no gubernatorial race in state; Washington DC ============================== VAR 980080a OUTSIDE DEM GUBERNCANDIDATE CODE COLUMNS 338 - 339 NUMERIC MD EQ 0, GE 99 Cand.16a. R VOTED OUTSIDE STATE OF IW: Candidate Code - Gubernatorial Democratic candidate --------------------------------------------------------------------- Codes represent candidate in the state of R's 1998 vote. 51. Open race Democratic gubernatorial candidate 53. Incumbent Democratic gubernatorial candidate 55. Challenging Democratic gubernatorial candidate 1 99. NA (outside CD not identified) 1280 00. Inap, R voted within state of IW; no gubernatorial race in state of vote; Washington DC ============================== VAR 980081 DEMOCRATIC GUBERNATORIAL CAND geNDER COLUMNS 340 - 340 NUMERIC MD EQ 0 Cand.17. Candidate gender - Gubernatorial Democratic candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent candidate in the state of R's 1998 interview location. 944 1. Male 51 2. Female 286 0. Inap, no gubernatorial race in state; Washington DC ============================== VAR 980081a OUTSIDE DEM GUBERN CAND geNDER COLUMNS 341 - 341 NUMERIC MD EQ 0, GE 9 Cand.17a. R VOTED OUTSIDE STATE OF IW: Candidate gender - Gubernatorial Democratic candidate --------------------------------------------------------------------- Codes represent candidate in the state of R's 1998 vote. 1. Male 2. Female 1 9. NA (outside CD not identified) 1280 0. Inap, R voted within state of IW; no gubernatorial race in state of vote; Washington DC ============================== VAR 980082 DEMOCRATIC GUBERNATORIAL CANDIDATE NAME COLUMNS 342 - 364 CHARACTER Cand.18. Candidate name - Gubernatorial Democratic candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Name represents candidate in the state of R's 1998 interview location. ============================== VAR 980082a OUTSIDE DEM GUBERN CANDIDATE NAME COLUMNS 365 - 376 CHARACTER Cand.18a. R VOTED OUTSIDE STATE OF IW: Candidate name - Gubernatorial Democratic candidate --------------------------------------------------------------------- Name represents candidate in the state of R's 1998 vote. ============================== VAR 980083 REPUBLICAN GUBERNATORIAL CANDIDATE CODE COLUMNS 377 - 378 NUMERIC MD EQ 0 Cand.19. Candidate Code - Gubernatorial Republican candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent candidate in the state of R's 1998 interview location. 355 52. Open race Republican gubernatorial candidate 559 54. Incumbent Republican gubernatorial candidate 81 56. Challenging Republican gubernatorial candidate 286 00. Inap, no gubernatorial race in state; Washington DC ============================== VAR 980083a OUTSIDE REPUB GUBERN CANDIDATE CODE COLUMNS 379 - 380 NUMERIC MD EQ 0, GE 99 Cand.19a. R VOTED OUTSIDE STATE OF IW: Candidate Code - Gubernatorial Republican candidate --------------------------------------------------------------------- Codes represent candidate in the state of R's 1998 vote. 52. Open race Republican gubernatorial candidate 54. Incumbent Republican gubernatorial candidate 56. Challenging Republican gubernatorial candidate 1 99. NA (outside CD not identified) 1280 00. Inap, R voted within state of IW; no gubernatorial race in state of vote; Washington DC ============================== VAR 980084 REPUBLICAN GUBERNATORIAL CAND geNDER COLUMNS 381 - 381 NUMERIC MD EQ 0 Cand.20. Candidate gender - Gubernatorial Republican candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Codes represent candidate in the state of R's 1998 interview location. 959 1. Male 36 2. Female 286 0. Inap, no gubernatorial race in state; Washington DC ============================== VAR 980084a OUTSIDE REPUB GUBERN CAND geNDER COLUMNS 382 - 382 NUMERIC MD EQ 0, GE 9 Cand.20a. R VOTED OUTSIDE STATE OF IW: Candidate gender - Gubernatorial Republican candidate --------------------------------------------------------------------- Codes represent candidate in the state of R's 1998 vote. 1. Male 2. Female 1 9. NA (outside CD not identified) 1280 0. Inap, R voted within state of IW; no gubernatorial race in state of vote; Washington DC ============================== VAR 980085 REPUBLICAN GUBERNATORIAL CANDIDATE NAME COLUMNS 383 - 403 CHARACTER Cand.21. Candidate name - Gubernatorial Republican candidate --------------------------------------------------------------------- This data was preloaded into the 1998 CAPI instrument. Name represents candidate in the state of R's 1998 interview location. ============================== VAR 980085a OUTSIDE REPUB GUBERN CANDIDATE NAME COLUMNS 404 - 411 CHARACTER Cand.21a. R VOTED OUTSIDE STATE OF IW: Candidate name - Gubernatorial Republican candidate --------------------------------------------------------------------- Name represents candidate in the state of R's 1998 vote. ============================== VAR 980086 ICPSR ST CODE-INTERVIEW LOCATION COLUMNS 412 - 413 NUMERIC Sample.1. ICPSR state code of Interview Location --------------------------------------------------------------------- This refers to the state (ICPSR code) in which R was residing at the time of the 1998 interview. NEW ENGLAND: 1. Connecticut 2. Maine 3. Massachusetts 4. New Hampshire 5. Rhode Island 6. Vermont MIDDLE ATLANTIC: 11. Delaware 12. New Jersey 13. New York 14. Pennsylvania EAST NORTH CENTRAL: 21. Illinois 22. Indiana 23. Michigan 24. Ohio 25. Wisconsin WEST NORTH CENTRAL: 31. Iowa 32. Kansas 33. Minnesota 34. Missouri 35. Nebraska 36. North Dakota 37. South Dakota SOLID SOUTH: 40. Virginia 41. Alabama 42. Arkansas 43. Florida 44. Georgia 45. Louisiana 46. Mississippi 47. North Carolina 48. South Carolina 49. Texas BORDER STATES: 51. Kentucky 52. Maryland 53. Oklahoma 54. Tennessee 55. Washington DC 56. West Virginia MOUNTAIN STATES: 61. Arizona 62. Colorado 63. Idaho 64. Montana 65. Nevada 66. New Mexico 67. Utah 68. Wyoming PACIFIC STATES: 71. California 72. Oregon 73. Washington EXTERNAL STATES: 81. Alaska 82. Hawaii ============================== VAR 980087 FIPS ST CODE - INTERVIEW LOCATION COLUMNS 414 - 415 NUMERIC Sample.2. FIPS state code - R's 1998 Interview location --------------------------------------------------------------------- This is the FIPS [Federal Information Processing Standards] code of the state in which R was residing at the time of the 1998 interview. 68 1. Alabama 2. Alaska 4. Arizona 5. Arkansas 75 6. California 24 8. Colorado 15 9. Connecticut 10. Delaware 2 11. Washington DC 56 12. Florida 33 13. Georgia 15. Hawaii 16. Idaho 29 17. Illinois 55 18. Indiana 27 19. Iowa 20. Kansas 21. Kentucky 22. Louisiana 23. Maine 36 24. Maryland 16 25. Massachusetts 30 26. Michigan 45 27. Minnesota 28. Mississippi 16 29. Missouri 30. Montana 31. Nebraska 32. Nevada 12 33. New Hampshire 29 34. New Jersey 55 35. New Mexico 89 36. New York 37. North Carolina 38. North Dakota 43 39. Ohio 40. Oklahoma 33 41. Oregon 51 42. Pennsylvania 44. Rhode Island 45. South Carolina 46. South Dakota 23 47. Tennessee 144 48. Texas 41 49. Utah 50. Vermont 107 51. Virginia 36 53. Washington 54. West Virginia 91 55. Wisconsin 56. Wyoming ============================== VAR 980088 1996 STATE ABBREV AND CONG DISTR COLUMNS 416 - 419 CHARACTER Sample.3. 1998 State abbreviation and congressional district --------------------------------------------------------------------- This variable provides the state (2-character Postal abbreviation) and congressional district in which R was residing at the time of the 1998 study. ============================== VAR 980089 1996 STATE AND CD COLUMNS 420 - 423 NUMERIC Sample.4. 1998 State and congressional district --------------------------------------------------------------------- This variable provides the state (ICPSR state code) and congressional district in which R was residing at the time of the 1998 study. State code resides in first 2 digits, CD number in last 2 digits. ============================== VAR 980090 CONGRESSIONAL DISTRICT NUMBER COLUMNS 424 - 425 NUMERIC Sample.5. Congressional district number --------------------------------------------------------------------- This refers to the congressional district in which R was residing at the time of the 1998 interview. Codes 1-52. ============================== VAR 980091 DID R VOTE OUTSIDE OF IW CONGR DISTRICT COLUMNS 426 - 426 NUMERIC MD GE 8 Sample.6. Did R vote in state and CD of interview? --------------------------------------------------------------------- See also D2c, D2d. 673 0. Yes, R voted in state and CD of interview 10 1. No, R did not vote in state and CD of interview 4 8. Some indication that R might have voted outside CD of IW but information insufficient to establish status within/outside CD of IW 594 9. Inap, R did not vote (5,6,8,9 in D1) ============================== VAR 980092 STATE AND CD FOR VOTERS OUT OF CD COLUMNS 427 - 430 NUMERIC MD EQ 0, GE 9999 Sample.7. State and congressional district of Rs who voted out of CD --------------------------------------------------------------------- See also D2c, D2d. In the first two digits are the ICPSR state code, in the last two characters the Congressional district number. For Rs who answered "No" when asked if they voted within the county of their residence, an attempt was made to determine the CD where R voted. An attempt was also made to pursue any other indications that R voted in a CD other than the one identified in question Sample.1 and Sample.5. If the state of R's vote is determined but not the CD, then the state ICPSR code been entered for the first two digits and the CD is coded 99 in the last 2 digits. If it has been determined that R voted out of the CD of residence but the location of vote (state and CD) was not identified, then 9999 has been coded. 9999. R voted outside of IW congressional district but outside state and district is unknown 0000. Inap, R voted within CD of IW location (0,8 in Sample.6) ============================== VAR 980093 FIPS STATE AND COUNTY COLUMNS 431 - 435 NUMERIC Sample.8. FIPS state and county --------------------------------------------------------------------- The FIPS State code is represented in digits 1 and 2 of this variable, the FIPS County code in the last 3 digits. ============================== VAR 980094 PRIMARY AREA NAME COLUMNS 436 - 455 CHARACTER Sample.9. Primary Area (PSU) Name --------------------------------------------------------------------- This is the Primary Selection Unit (PSU) name. An abbreviated version of the Census MSA of which it is part for SR MSAs and Non-SR MSAs. For non-MSAs the PSU Name is the name of the county involved. If there is more than one county in the non MSA (non MSA counties were linked to reach a minimum measure of size of 5000 Households) it is named for the county with the most Households in 1990. ============================== VAR 980095 PRIMARY AREA CODE COLUMNS 456 - 458 NUMERIC Sample.10. Primary Area code --------------------------------------------------------------------- This is the Primary Selection Unit (PSU) code. 110. Boston, MA 120. New York, NY 121. Philadelphia, PA 122. Nassau-Suffolk, NY 130. Chicago, IL 131. Detroit, MI 132. Cleveland, OH 141. St. Louis, MO-IL 150. Washington, DC-MD-VA 152. Baltimore, MD 154. Miami-Hialeh, FL 170. Houston, TX 171. Dallas-Ft. Worth, TX 181. Denver, CO 190. Los Angeles, CA 191. Seattle-Tacoma, WA 194. Anaheim, CA 196. San Francisco, CA 211. New Haven, CT 213. Manchester-Nashua, NH 220. Buffalo, NY 226. Atlantic City, NJ 230. Milwaukee, WI 236. Madison, WI 239. Wheelng-Steubenvl, OH 240. Des Moines, IA 250. Richmond-Ptrsbrg, VA 255. Columbus, GA-AL 257. Jacksonville, FL 258. Lakeld-Wntr Haven, FL 260. Knoxville, TN 262. Birmingham, AL 273. Waco, TX 274. McAllen, TX 280. Salt Lake C-Ogden, UT 292. Fresno, CA 293. Eugene-Springfld, OR 320. Elk County, PA 332. Switzerland-Ohio, IN 340. Steele, MN 351. Harrisonburg IC, VA 354. Whitfield Co, GA 370. Jim Wells Co, TX 381. Sandoval Co, NM ============================== VAR 980096 SEGMENT NUMBER COLUMNS 459 - 459 NUMERIC MD EQ 0 Sample.11. Segment Number - IW location --------------------------------------------------------------------- This variable has been recoded to missing data 0 for the Public Use Data File. Contact NES if special access to this information is desired. ============================== VAR 980097 NUMBER OF HOUSEHOLD UNITS COLUMNS 460 - 460 NUMERIC MD GE 9 Sample.12. Number of Household Units - IW location --------------------------------------------------------------------- 1275 1. One HU 2 2. Two HUs 1 3. Three HUs 1 4. Four HUs 2 5. Five HUs 9. NA ============================== VAR 980098 CENSUS R COLUMNS 461 - 461 NUMERIC Sample.13. 1998 Census Region - Interview Location --------------------------------------------------------------------- 212 1. Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT) 336 2. North Central (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI) 469 3. South (AL, AR, DE, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV) 264 4. West (AK, AZ, CA, CO, HI, ID, MT, NM, NV, OR, UT, WA, WY) ============================== VAR 980099 BELT CODE COLUMNS 462 - 462 NUMERIC Sample.14. Belt Code - IW location --------------------------------------------------------------------- See the appendix on CENSUS DEFINITIONS. Coded according to the 1990 Census and 1990 Office of Management and Budget (OMB) definitions, 1990 Census Population reports (as reported in the 1992 Annual Metro, City and County Data book) and 1990 Census "urbanized area" (as shown in the 1994 Rand McNally Road Atlas - 70th edition. For segments from the 1980 National Sample Frame, code 1 includes all 1980 National Sample Frame self-representing areas, plus Newark, NJ (as well as SRP Nassau-Suffolk NY as part of the NYC CMSA) and Anaheim and Riverside CA (as part of the LA CMSA) plus six other non-selfrepresenting primary areas included within the `population over 2,000,000' definition (Miami-Fort Lauderdale, FL CMSA, Cleveland-Akron-Lorain, OH CMSA, Seattle-Tacoma, WA CMSA, San Diego, CA MSA, Phoenix AZ MSA and Tampa-St Petersburg- Clearwater, FL MSA). For Segments from the 1990 National Sample Frame, code 1 includes all except two of the 28 1990 National Sample Frame self-representing areas. Central Cities of Denver, Co MSA and Kansas City MSA are NOT to be coded 1. Central Cities of all other self-representing areas of the 1990 National Sample Frame are coded 1 (including Nassau- Suffolk NY and Newark NJ as part of the NYC, NY-Northern NJ CMSA; Los Angeles, Anaheim, and Riverside CA as part of the LA-etc. CMSA; and San Francisco and Oakland CA as part of the SF-Oakland CA CMSA). For the most part, no 1990 Frame non-selfrepresenting MSA Central Cities are coded 1, except as noted below. [NOTE: In 1990, the PSU definition in New England states is the New England County Metropolitan Area (NECMA). This means that for the 1990 Frame segments in New England--there may be Central Cities of MSAs included in the NECMA definition that are not in the CMSA/MSA definition. For example, in Boston MA (1990 frame) the Central Cities include not only those for Boston MSA but some from other New England MSAs -- some of which could be outside of the Boston CMSA definition and could be coded `2'. It also means that in the Manchester- Nashua NH NECMA (non-selfrepresenting) there are two segment selections in Nashua, NH (central city of Nashua MA PMSA) which is part of the Boston MA CMSA and has therefore been coded `1'.] Central Cities - as designated in Metropolitan Statistical Areas, 1990, U.S. Office of Management and Budget, Washington, D.C. (June 1990). Six largest CMSAs - Statistical Abstract of the United States 1991, (111th Edition), U.S. Department of Commerce, Economics and Statistics Administration, Bureau of the Census, Table No. 38. "70 Largest Metropolitan Areas-- Racial and Hispanic Origin Populations: 1990" Pp 33. Suburbs - defined as all "urbanized areas" in the Primary Area exclusive of the areas coded `1' and `2' above, plus the remainder of any county which includes a central city or parts of a central city. (NOTE: For segments from the 1980 Frame only, in the New England division where MSA boundaries do not follow county lines, it is necessary to limit this category to the SMSA part of a county which includes a central city.) See also the note under code `1' for the 1990 Frame. 111 1. Central Cities of the six largest (population over 4,500,000) Consolidated Metropolitan Statistical Areas 239 2. Central Cities of CMSAs and MSAs with fewer than 2,000,000 population (exclusive of those in the 21 208 3. Suburbs of the six largest CMSA/MSAs 278 4. Suburb of all other CMSA/MSAs 407 5. Adjacent Areas: includes all territory beyond the outer boundary of the suburban belt, but within 50 38 6. Outlying Area: includes all territory more than 50 miles from the central business district of a central city ============================== VAR 980100 POPULATION IN 1000S COLUMNS 463 - 466 NUMERIC MD EQ 0, GE 9999 Sample.15. Population in 1000s - IW location --------------------------------------------------------------------- The actual 1990 Census Place population is coded in thousands, rounding to the nearest whole thousand (from the 1990 Population total for the city/place as reported in the 1992 Annual Metro City and County Data Book). Actual population in 100s and: 9999. 9,998,500 persons or over 0000. Rural place, no defined Census Place, or Census Place with fewer than 500 persons ============================== VAR 980101 CENSUS SIZE OF PLACE COLUMNS 467 - 468 NUMERIC Sample.16. Size of Place - IW location --------------------------------------------------------------------- See the appendix on CENSUS DEFINITIONS. Coded according to the 1990 Census. The major objective of the Census Bureau in delineating urbanized areas is to provide a better separation of urban and rural population in the vicinity of large cities. An urbanized area consists of a central city or cities, and surrounding closely settled territory ("urban fringe"). Size of Place codes 21 and 41 include areas that are in the "urban fringe" but are not Census Places. Note for Codes 50-53: in a few cases, Non-MSA PSUs (based on the 1980 OMB SMSA definitions) contain areas which are now part of a 1990 PMSA or MSA (based on the June 1990 OMB definition). In these cases, the Size of Place Code for any SSUs (segments) within such areas are coded in the "40s" rather than in the "50s" as shown. This occurred in El Dorado county CA (the major part of the El Dorado/Alpine Co, CA PSU #82) which is now a part of the Sacramento CA MSA, and also for one SSU (segment) in the Gardner MA PSU (#64), which is now a part of the Worchester MA MSA. THE SIX LARGEST CMSAs PLUS THE 15 NEXT LARGEST CMSAs /MSAs (I.e. those coded 1 or 3 [possibly 5, rarely 6] 100 11. Central Cities (these would have been coded 1 on the Belt Code SUBURBS OF THE 6 LARGEST CMSAs AND THE 15 NEXT LARGEST 61 20. Rural (including rural places with less than 2,500 population 52 21. 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census places) 69 22. 10,000-29,999 41 23. 30,000-49,999 32 24. 50,000-99,999 9 25. 100,000-149,999 8 26. 150,000-349,999 5 27. 350,000 and over, exclusive of cities coded 11 CMSAs/MSAs WITH LESS THAN 2,000,000 POPULATION CENTRAL CITIES IN CMSAs/MSAs WITH LESS THAN 2,000,000 POPULATION (coded 2 on Belt Code): 12 30. Under 50,000 (identified by OMB, June 1990, as Central Cities 9 31. 50-000-99,999 32 32. 100,000-149,999 125 33. 150,000-349,999 61 34. 350,000 and over SUBURBS IN CMSAs/MSAs WITH LESS THAN 2,000,000 78 40. Rural (including rural places with less than 2,500 population) 150 41. 2,500-9,999 52 42. 10,000-29,999 5 43. 30,000-49,999 33 44. 50,000-99,999 5 45. 100,000-149,999 46. 150,000 and over "NON-CMSA/PMSA/MASs" 160 50. Rural (including rural places with less than 2,000,000 population) 19 51. 2,500-9,999 74 52. 10,000-29,999 89 53. 30,000-49,999 ============================== VAR 980102 CENSUS TRACT/ED INDICATOR COLUMNS 469 - 469 NUMERIC Sample.17. Census tract/ED indicator - IW location --------------------------------------------------------------------- 1281 1. Tracted 2. Enumeration District (ED) ============================== VAR 980103 1996 SAMPLING ERROR CODE COLUMNS 470 - 472 NUMERIC Sample.18. 1998 Sampling Error Code --------------------------------------------------------------------- See 1998 NES Sampling documentation in this codebook. The first 2 digits contain the 1998 Sampling Error Stratum code and the last digit represents the 1998 SECU or Sampling Error Computation Unit code. ============================== VAR 980104 1990 CENSUS NECMA/SMSA COLUMNS 473 - 476 NUMERIC MD EQ 0 Sample.19. 1990 NECMA/SMSA - IW location --------------------------------------------------------------------- See the appendix on CENSUS DEFINITIONS The NECMA is the New England County Metropolitan Area code as described in the 1990 SRC National Sample Design and Development documentation. In 1990 the U.S. Census adopted slightly different wording and abbreviations for metropolitan areas, now known collectively as Metropolitan Areas (MAs). What in 1980 were Standard Metropolitan Statistical Areas (SMSAs) became in 1990 either Metropolitan Statistical Areas (MSAs) or Primary Metropolitan Statistical Areas (PMSAs). MSA is used for a metropolitan area which stands alone, i.e., is not a part of a Consolidated Metropolitan Statistical Area (CMSA). PMSA is used for a metropolitan area which is part of a larger CMSA. The metropolitan area standards for the 1990's generally reflect a continuity with those adopted for the 1980's and maintain the basic concepts originally developed in 1950. The few substantive changes made between 1980 and 1990 are detailed in the Federal Register, Vol. 55, No.62 cited in the footnote. New England County Metropolitan Areas (NECMAs) provide an alternative to the official city-and-town based metropolitan statistical areas in that Census region for the convenience of data users who desire a county-defined set of areas. NECMAs have their separate definition standards detailed in the Federal Register (p. 12159). Since the 1990 SRC National Sample primary stage of selection was based on the NECMA in New England, the 1990 NECMA is provided in place of 1990 MSA or PMSA for this variable. 16 360. Anaheim-Santa Ana-Garden Grove, CA 520. Atlanta, GA 26 560. Atlantic City, NJ 24 720. Baltimore, MD 875. Bergen-Passiac, NJ PMSA (Former code and title: 6040 Paterson-Clifton-Passaic, NJ) 61 1000. Birmingham, AL 16 1123. Boston-Lawrence-Salem-Lowell-Brockton, MA NECMA 1125. Boulder-Longmont, CO PMSA 1145. Brazoria, TX PMSA 44 1280. Buffalo, NY 25 1600. Chicago, IL 22 1680. Cleveland OH 17 1800. Columbus, GA-AL 15 1920. Dallas-Ft Worth, TX 2000. Dayton, OH 24 2080. Denver-Boulder, CO 27 2120. Des Moines, IA 30 2160. Detroit, MI 33 2400. Eugene-Springfield, OR 2760. Fort Wayne, IN 2 2800. Fort Worth-Arlington TX, PMSA 21 2840. Fresno, CA 3000. Grand Rapids, MI 32 3360. Houston, TX 25 3600. Jacksonville, FL 3760. Kansas City, MO-KS 23 3840. Knoxville, TN 3965. Lake County, IL PMSA 25 3980. Lakeland-Winter Haven, FL 25 4480. Los Angeles-Long Beach, CA 36 4720. Madison WI 12 4763. Manchester-Nashua, NH NECMA 20 4880. McAllen-Pharr-Edinburgh, TX 6 5000. Miami, FL 5015. Middlesex-Somerset-Hunterdon, NJ PMSA (former code and title: 5460 New Brunswick-Perth Amboy-Sayreville NJ) 55 5080. Milwaukee, WI 5120. Minneapolis-St Paul, MN-WI 5350. Nashua, NH PMSA 18 5380. Nassau-Suffolk, NY 5480. New Haven-West Haven, CT 15 5483. New Haven-Waterbury-Meriden, CT NECMA 27 5600. New York, NY-NJ 5640. Newark, NJ 5700. Niagara Falls, NY PMSA 5775. Oakland, CA PMSA 16 6160. Philadelphia, PA-NJ 6200. Phoenix, AZ 6280. Pittsburgh, PA 6453. Portsmouth-Dover-Rochester, NH NECMA 34 6760. Richmond, VA 6780. Riverside-San Bernardino, Ontario, CA 6920. Sacramento, CA (1990 MSA definition) 6960. Saginaw, MI 20 7040. St. Louis, MO-IL 41 7160. Salt Lake City-Ogden, UT MSA 13 7360. San Francisco-Oakland,CA 23 7600. Seattle-Everett, WA 8003. Springfield, MA NECMA 21 8080. Steubenville-Wierton, OH-WV 13 8200. Tacoma, WA 17 8800. Waco, TX 19 8840. Washington, DC-MD-VA 9000. Wheeling, WV-OH 9243. Worcester-Fitchburn-Leominster, MA NECMA 342 0000. INAP; location not in SMSA (MSA)/ NECMA ============================== VAR 980105 1990 CENSUS CMSA COLUMNS 477 - 478 NUMERIC MD EQ 0 Sample.20. 1990 Census CMSA (Consolidated Metropolitan Statistical Area) - IW location --------------------------------------------------------------------- See the appendix on CENSUS DEFINITIONS. The 1990 Consolidated Metropolitan Statistical Area (CMSA) codes are in most cases identical to the 1980 SCSA codes with the exceptions noted in parenthesis. In addition to the major changes noted, minor changes in SCSA and CMSA names have also occurred between 1980 and 1990. The six largest CMSA's are marked with **. 16 07. Boston-Lawrence-Salem MA-NH 44 10. Buffalo-Niagara Falls NY 25 14. Chicago-Gary-Lake County IL-IN-WI** 22 28. Cleveland-Akron-Lorain OH 17 31. Dallas-Ft Worth TX (Since Dallas and Ft Worth were made separate PMSAs in 1990, this new CMSA was added 24 34. Denver-Boulder CO (Since Denver and Boulder were made separate PMSAs in 1990, this new CMSA was added in 30 35. Detroit-Ann Arbor MI** 32 42. Houston-Galveston-Brazoria TX 41 49. Los Angeles-Anaheim-Riverside CA** 6 56. Miami-Fort Lauderdale FL 55 63. Milwaukee-Racine WI 45 70. New York-Northern New Jersey-Long Island NY-NJ-CT** 16 77. Philadelphia-Wilmington-Trenton PA-NJ-DE-MD** 78. Pittsburgh-Beaver Valley PA 13 84. San Francisco-Oakland-San Jose CA** 36 91. Seattle-Tacoma WA 859 00. INAP, Location not in CMSA. This includes old code 32 (Dayton Springfield, OH) which is no longer consolidated in 1990 since Dayton and Springfield are combined in a single MSA in 1990) ============================== VAR 980106 1990 CENSUS TRACT 1 COLUMNS 479 - 479 NUMERIC DEC. 2 MD EQ 0 Sample.21. 1990 Census Tract 1 - IW location --------------------------------------------------------------------- This variable and the next (item Sample.22) provide the 1990 Census Tract number(s) for segment. This variable has been recoded to missing data 0 for the Public Use Data File. Contact NES if special access to this information is desired. ============================== VAR 980107 1990 CENSUS TRACT 2 COLUMNS 480 - 480 NUMERIC DEC. 2 MD EQ 0 Sample.22. 1990 Census Tract 2 - IW location --------------------------------------------------------------------- This variable and the previous (item Sample.21) provide the 1990 Census Tract number(s) for segment. This variable has been recoded to missing data 0 for the Public Use Data File. Contact NES if special access to this information is desired. Inap, only 1 CT ============================== VAR 980108 WRONG CD ADMINISTERED IN PRE-FLAG COLUMNS 481 - 481 NUMERIC Summary.1. Flag - incorrect congressional district administered --------------------------------------------------------------------- Code 3 indicates cases where the IWR attempted to make CD correction for either an erroneous pre-load or else because IWR mistakenly thought assigned CD wrong. Code 4 indicates cases where IWR thought assigned CD assignment incorrect. 1276 0. CD correctly identified for R; Washington DC 1. CD incorrect because misidentified; responses to House-related questions recoded to NA 2. CD information not loaded into CAPI application, House candidate questions not administered (NA) 5 3. CD incorrect - IWR error; IWR administered House cand names from wrong CD (recoded to NA) 4. CD incorrect - IWR error; IWR skipped House-related questions (NA) 7. CD correct but R insisted candidates were not for his district; all answers to House-related questions were given for names mistakenly assumed to to have been candidates (recoded to NA) ============================== VAR 980108a INCORRECT TYPE RACE/CANDIDATE PRELOAD COLUMNS 482 - 482 NUMERIC Summary.1a. Flag - incorrect type race/candidate code preloaded --------------------------------------------------------------------- In several districts, corrections were made to the candidate/type race information preloaded into the application; some corrections were not made until the end of the field period. In all cases coded 2, the correct candidate name was preloaded but the incorrect candidate code or type of race may have failed to load the name into the text of specific questions or may have failed to present the question during the interview. Cases coded 1 includes cases where no names were preloaded for any questions as well as cases where the preload candidate information failed to load into specific selected questions. 1229 0. Correct type race/candidate information preloaded and administered 19 1. No preload 33 2. Incorrect type race and incorrect party of House candidate ============================== VAR 980109 SECTION TIMING - SECTION A COLUMNS 483 - 487 NUMERIC DEC. 2 MD EQ 0 Summary.2. Section Timing - section A --------------------------------------------------------------------- Time in minutes (2 decimal points). Average time for section A was 3.6 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980110 SECTION TIMING - SECTION B COLUMNS 488 - 492 NUMERIC DEC. 2 MD EQ 0 Summary.3. Section Timing - section B --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section B was 8.1 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980111 SECTION TIMING - SECTION C COLUMNS 493 - 497 NUMERIC DEC. 2 MD EQ 0 Summary.4. Section Timing - section C --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section C was 1.5 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980112 SECTION TIMING - SECTION D COLUMNS 498 - 502 NUMERIC DEC. 2 MD EQ 0 Summary.5. Section Timing - section D --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section D was 1.2 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980113 SECTION TIMING - SECTION E COLUMNS 503 - 507 NUMERIC DEC. 2 MD EQ 0 Summary.6. Section Timing - section E --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section E was 1.7 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980114 SECTION TIMING - SECTION F COLUMNS 508 - 512 NUMERIC DEC. 2 MD EQ 0 Summary.7. Section Timing - section F --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section F was 3.5 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980115 SECTION TIMING - SECTION G COLUMNS 513 - 516 NUMERIC DEC. 2 MD EQ 0 Summary.8. Section Timing - section G --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section G was 2.1 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980116 SECTION TIMING - SECTION H COLUMNS 517 - 521 NUMERIC DEC. 2 MD EQ 0 Summary.9. Section Timing - section H --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section H was 5.4 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980117 SECTION TIMING - SECTION J COLUMNS 522 - 527 NUMERIC DEC. 2 MD EQ 0 Summary.10. Section Timing - section J --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section J was 7.1 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980118 SECTION TIMING - SECTION K COLUMNS 528 - 532 NUMERIC DEC. 2 MD EQ 0 Summary.11. Section Timing - section K --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section K was 10.0 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980119 SECTION TIMING - SECTION M COLUMNS 533 - 538 NUMERIC DEC. 2 MD EQ 0 Summary.12. Section Timing - section M --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section M was 53.9 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980120 SECTION TIMING - SECTION N COLUMNS 539 - 543 NUMERIC DEC. 2 MD EQ 0 Summary.13. Section Timing - section N --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section N was 5.4 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980121 SECTION TIMING - SECTION P COLUMNS 544 - 548 NUMERIC DEC. 2 MD EQ 0 Summary.14. Section Timing - section P --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section P was 1.6 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980122 SECTION TIMING - SECTION X COLUMNS 549 - 553 NUMERIC DEC. 2 MD EQ 0 Summary.15. Section Timing - section X --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section X was 1.5 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ============================== VAR 980123 SECTION TIMING - SECTION Y COLUMNS 554 - 558 NUMERIC DEC. 2 MD EQ 0 Summary.16. Section Timing - section Y --------------------------------------------------------------------- Time in minutes (2 decimal points) Average time for section Y was 6.1 minutes. Note: SECTION length is the amount of lapsed time between the beginning and ending of the section as recorded by the instrument application, and may be affected by suspension of interview, power failure, application failure, R digressions and interruptions etc. 0. Missing - timestamp NA ................................................................. [IWER: PLEASE READ THE PLEDGE OF CONFIDENTIALITY:] (This interview will be tape recorded so that my supervisor can evaluate my performance). Before we begin, I would like to assure you that the interview is completely voluntary and confidential. If we should come to any question that you don't want to answer, just let me know and we'll go on to the next question. A0. In this interview I will be talking to you about the recent elections, as well as a number of other things. First, I have some questions about the political campaigns which took place this election year. ============================== VAR 980201 A1.ATTENTION R PAID TO CAMPAIGNS COLUMNS 559 - 559 NUMERIC MD GE 8 A1. Some people don't pay much attention to political campaigns. How about you? Would you say that you were VERY MUCH INTERESTED, SOMEWHAT INTERESTED, or NOT MUCH INTERESTED in following the political campaigns so far this year? --------------------------------------------------------------------- 281 1. Very much interested 614 3. Somewhat interested 386 5. Not much interested 8. DK 9. NA ============================== VAR 980202 A2.DAYS R READ NEWSPAPER IN LAST WEEK COLUMNS 560 - 560 NUMERIC MD GE 8 A2. How many days IN THE PAST WEEK did you read a daily newspaper? --------------------------------------------------------------------- 236 0. None 187 1. One day 138 2. Two days 126 3. Three days 68 4. Four days 48 5. Five days 30 6. Six days 447 7. Every day 1 8. DK 9. NA ============================== VAR 980203 A3.R HAVE CABLE OR SATELLITE TV COLUMNS 561 - 561 NUMERIC MD GE 8 A3. Do you have either cable or satellite television? --------------------------------------------------------------------- 974 1. Yes 307 5. No 8. DK 9. NA ============================== VAR 980204 A4.DAYS R WATCH NATIONAL NEWS LAST WEEK COLUMNS 562 - 562 NUMERIC MD GE 8 A4. How many days IN THE PAST WEEK did you watch the national news on TV? --------------------------------------------------------------------- 228 0. None 111 1. One day 143 2. Two days 125 3. Three days 89 4. Four days 100 5. Five days 29 6. Six days 455 7. Every day 1 8. DK 9. NA ============================== VAR 980205 A5.DAYS R WATCH LOCAL NEWS LAST WEEK COLUMNS 563 - 563 NUMERIC MD GE 8 A5. How many days IN THE PAST WEEK did you watch the LOCAL TV news, for example, "Eyewitness News" or "Action News"? --------------------------------------------------------------------- 165 0. None 82 1. One day 107 2. Two days 108 3. Three days 81 4. Four days 130 5. Five days 42 6. Six days 566 7. Every day 8. DK 9. NA ============================== VAR 980206 A6.R LISTEN TO NEWS ON RADIO COLUMNS 564 - 564 NUMERIC MD GE 8 A6. How many days IN THE PAST WEEK did you listen to news on the radio? --------------------------------------------------------------------- 500 0. None 76 1. One day 103 2. Two days 66 3. Three days 42 4. Four days 97 5. Five days 20 6. Six days 377 7. Every day 8. DK 9. NA ============================== VAR 980207 A7.R LISTEN TO POLITICAL TALK RADIO COLUMNS 565 - 565 NUMERIC MD GE 8 A7. There are a number of programs on radio in which people call in to voice their opinions about politics. Do you ever listen to political talk radio programs of this type? --------------------------------------------------------------------- 429 1. Yes, listen 852 5. No, don't listen 8. DK 9. NA ============================== VAR 980208 A7a.FReq R LISTEN TO POLITICAL TALK RAD COLUMNS 566 - 566 NUMERIC MD EQ 0, GE 8 A7a. IF R LISTENS TO POLITICAL TALK RADIO PROGRAMS: How often do you listen to those programs -- EVERY DAY, MOST DAYS, ONCE OR TWICE A WEEK, or ONLY OCCASIONALLY? --------------------------------------------------------------------- 51 1. Every day 70 2. Most days 93 3. Once or twice a week 215 4. Only occasionally 9. NA 8. DK 852 0. Inap, 5,8,9 in A7 ============================== VAR 980209 A8.DOES R HAVE ACCESS TO THE INTERNET COLUMNS 567 - 567 NUMERIC MD GE 8 A8. Do you have access to the Internet or the World Wide Web ("the Web")? --------------------------------------------------------------------- 547 1. Yes 734 5. No 8. DK 9. NA ============================== VAR 980210 A8a.DID R SEE CAMPAIGN INFO ON INTERNET COLUMNS 568 - 568 NUMERIC MD EQ 0, GE 8 A8a. IF R HAS ACCESS TO THE INTERNET: Did you seen any information about this election campaign on the (Internet/Web)? --------------------------------------------------------------------- 124 1. Yes 423 5. No 8. DK 9. NA 734 0. Inap, 5,8,9 in A8 ============================== VAR 980211 A9.DOES R DISCUSS POLITICS FAMILY/FRIEND COLUMNS 569 - 569 NUMERIC MD GE 8 A9. Do you ever discuss politics with your family or friends? --------------------------------------------------------------------- 1023 1. Yes 258 5. No 8. DK 9. NA ============================== VAR 980212 A9a.FReqUENCY OF POLITICAL DISCUSSIONS COLUMNS 570 - 570 NUMERIC MD EQ 0, GE 8 A9a. IF R DISCUSSES POLITICS WITH FAMILY OR FRIENDS: Please look at page 1 of the booklet. How often do you discuss politics with your family or friends -- EVERY DAY, 3 OR 4 TIMES A WEEK, ONCE OR TWICE A WEEK, or LESS OFTEN THAN THAT? --------------------------------------------------------------------- 105 1. Everyday 189 2. 3 or 4 times a week 376 3. Once or twice a week 349 4. Less often 4 5. Never [Vol] 8. DK 9. NA 258 0. Inap, 5,8,9 in A9 ============================== VAR 980213 A9b.FReq PAST WEEK POLITICAL DISCUSSIONS COLUMNS 571 - 571 NUMERIC MD GE 8 A9b. IF R EVER DISCUSSES POLITICS WITH FAMILY OR FRIENDS: IF FREQUENCY OF DISCUSSION ISN'T 'NEVER': Now not using the booklet: How many days IN THE PAST WEEK did you talk about politics with family or friends? --------------------------------------------------------------------- 146 0. None 209 1. One day 234 2. Two days 145 3. Three days 83 4. Four days 39 5. Five days 11 6. Six days 152 7. Every day 8. DK 262 9. NA; Inap, 5,8,9 in A9; 5,8,9 in A9a ============================== VAR 980214 A10.DID R VOTE FOR PRESIDENT IN 1996 COLUMNS 572 - 572 NUMERIC MD GE 8 A10. In 1996 Bill Clinton ran on the Democratic ticket against Bob Dole for the Republicans, and Ross Perot as an independent candidate. Do you remember for sure whether or not you voted in that election? --------------------------------------------------------------------- [DO NOT PROBE DK RESPONSE] 905 1. Yes, voted 370 5. No, didn't vote 6 8. DK 9. NA ============================== VAR 980215 A10a.WHO DID R VOTE FOR IN 1996 COLUMNS 573 - 573 NUMERIC MD EQ 0, GE 8 A10a. IF R VOTED FOR PRESIDENT IN 1996: Which one did you vote for? --------------------------------------------------------------------- [IWER: DO NOT PROBE DK] 472 1. Bill Clinton 275 3. Bob Dole 123 5. Ross Perot 16 7. Other (specify) [VOL] 8 8. DK 11 9. NA; RF 376 0. Inap, 5,8,9 in A10 ============================== VAR 980216 A11.CLINTON geNERAL JOB APPROVE/DISAPPR COLUMNS 574 - 574 NUMERIC MD GE 8 A11. Do you APPROVE or DISAPPROVE of the way Bill Clinton is HANDLING HIS JOB AS PRESIDENT? --------------------------------------------------------------------- 921 1. Approve 328 5. Disapprove 22 8. DK 10 9. NA; RF ============================== VAR 980217 A11a/b.STRENGTH APPR/DISAPPR CLINTON JOB COLUMNS 575 - 575 NUMERIC MD EQ 0, GE 8 A11a/b. IF R APPROVES CLINTON'S HANDLING OF HIS JOB AS PRESIDENT: / IF R DISAPPROVES CLINTON'S HANDLING OF HIS JOB AS PRESIDENT: a. Do you approve STRONGLY or NOT STRONGLY? b. Do you disapprove STRONGLY or NOT STRONGLY? --------------------------------------------------------------------- Built from A11, Alla/b. 589 1. Approve strongly 330 2. Approve not strongly 106 4. Disapprove not strongly 222 5. Disapprove strongly 2 8. DK 9. NA 32 0. Inap, 8,9 in A11 ============================== VAR 980218 A12.CLINTON ECONOMY APPR/DISAPPR COLUMNS 576 - 576 NUMERIC MD GE 8 A12. Do you approve or disapprove of the way Bill Clinton is HANDLING THE ECONOMY? --------------------------------------------------------------------- Order of presidential performance items A12-A13 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 1032 1. Approve 198 5. Disapprove 44 8. DK 7 9. NA; RF ============================== VAR 980219 A12a/b.STRENGTH APPR/DISAPP CLINTON ECON COLUMNS 577 - 577 NUMERIC MD EQ 0, GE 8 A12a/b. IF R APPROVES CLINTON'S HANDLING OF THE ECONOMY: / IF R DISAPPROVES CLINTON'S HANDLING OF THE ECONOMY: a. Do you approve STRONGLY or NOT STRONGLY? b. Do you disapprove STRONGLY or NOT STRONGLY? --------------------------------------------------------------------- Built from A12/A12a/b. 676 1. Approve strongly 352 2. Approve not strongly 90 4. Disapprove not strongly 108 5. Disapprove strongly 4 8. DK 9. NA 51 0. Inap, 8,9 in A12 ============================== VAR 980220 A13.CLINTON FOREIGN REL APPR/DISAPPR COLUMNS 578 - 578 NUMERIC MD GE 8 A13. Do you approve or disapprove of the way Bill Clinton is HANDLING OUR RELATIONS WITH FOREIGN COUNTRIES? --------------------------------------------------------------------- Order of presidential performance items A12/A13 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 912 1. Approve 315 5. Disapprove 47 8. DK 7 9. NA; RF ============================== VAR 980221 A13a/b.STRENGTH APP/DISAPPR CLINTON FRGN COLUMNS 579 - 579 NUMERIC MD EQ 0, GE 8 A13a/b. IF R APPROVES CLINTON'S HANDLING OF RELATIONS WITH FOREIGN COUNTRIES: / IF R DISAPPROVES CLINTON'S HANDLING OF RELATIONS WITH FOREIGN COUNTRIES: a. Do you approve STRONGLY or NOT STRONGLY? b. Do you disapprove STRONGLY or NOT STRONGLY? --------------------------------------------------------------------- Built from A13, A13a/b. 560 1. Approve strongly 352 2. Approve not strongly 135 4. Disapprove not strongly 178 5. Disapprove strongly 2 8. DK 9. NA 54 0. Inap, 8,9 in A13 ============================== VAR 980222 B1.DID R CARE ABOUT HOUSE ELECTION COLUMNS 580 - 580 NUMERIC MD GE 8 B1. As you know, representatives to Congress in Washington were chosen in this election from congressional districts all around the country. How much would you say that you personally cared about the way the election to the U.S. House of Representatives came out: did you care VERY MUCH, PRETTY MUCH, NOT VERY MUCH or NOT AT ALL? --------------------------------------------------------------------- 289 1. Very much 403 2. Pretty much 409 3. Not very much 175 4. Not at all 3 8. DK 2 9. NA; RF ============================== VAR 980223 B2.DOES R REMEMBER NAMES OF HOUSE CANDS COLUMNS 581 - 581 NUMERIC MD GE 8 B2. Do you happen to remember the names of the candidates for Congress -- that is, for the House of Representatives in Washington -- who ran in the November election from this district? --------------------------------------------------------------------- 470 1. Yes 808 5. No 1 8. DK 2 9. NA; Inap, Washington DC ============================== VAR 980224 B2a1.#1 RECALLED NAME, HOUSE CAND COLUMNS 582 - 583 NUMERIC MD EQ 0, GE 98 B2a1. IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? 1ST RECALLED HOUSE CANDIDATE NAME --------------------------------------------------------------------- [PROBE: Any others?] Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2 in Summary.1): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. 29 31. Democratic candidate in open race 15 32. Republican candidate in open race 87 33. Democratic incumbent 155 34. Republican incumbent 32 35. Democratic challenger 3 36. Republican challenger 120 97. Name not on candidate list 27 98. DK 2 99. NA 811 00. Inap, 5,8,9 in B2 ============================== VAR 980225 B2a2.#1 RECALL PARTY, HOUSE CAND COLUMNS 584 - 584 NUMERIC MD EQ 0, GE 8 B2a2. IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF FIRST RECALLED HOUSE CANDIDATE --------------------------------------------------------------------- This codes the party which R identified in association with name recalled. Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2 in Summary.1): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. 227 1. Democrat 228 2. Republican 12 7. Other party (specify) 2 8. DK 1 9. NA; RF 811 0. Inap, 5,8,9 in B2 ============================== VAR 980226 B2a3.#1 HOUSE CAND RECALL- ACTUAL PARTY COLUMNS 585 - 585 NUMERIC MD EQ 0, GE 8 B2a3. IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? ACTUAL PARTY - 1ST RECALLED CANDIDATE --------------------------------------------------------------------- [PROBE: Any others?] Built from B2a1. See note B2a1. 148 1. Democratic candidate (31,33,35) 173 2. Republican candidate (32,34,36) 120 7. Name given not on candidate list (97) 27 8. DK name but know party 2 9. DK name and DK/NA party; NA 811 0. Inap, 5,8,9 in B2 ============================== VAR 980227 B2a4.#1 HOUSE CAND RECALL- ACCURACY COLUMNS 586 - 586 NUMERIC MD EQ 0, GE 9 B2a4. IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? What is [NAME'S] party? 1ST RECALL ACCURACY --------------------------------------------------------------------- Built from B2a1, B2a2. See notes in B2a1, B2a2. 301 1. Valid candidate name given and correct party associated with name 19 2. Valid candidate name given but incorrect party associated with name 1 3. Valid candidate name given, DK or NA for party associated with name 119 4. Invalid candidate name given with any mention of party associated with name 1 5. Invalid candidate name given with DK or NA for party associated with name 28 6. No candidate name given (DK or NA) -- any party mention 7. No candidate name given (DK) -- DK or NA for party 1 9. NA for candidate name and NA for party mention 811 0. Inap, 5,8,9 in B2 ============================== VAR 980228 B2b1.#2 RECALLED NAME, HOUSE CAND COLUMNS 587 - 588 NUMERIC MD EQ 0, GE 98 B2b1. IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? 2ND RECALLED HOUSE CANDIDATE NAME --------------------------------------------------------------------- [PROBE: Any others?] Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2 in Summary.1): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. 9 31. Democratic candidate in open race 26 32. Republican candidate in open race 7 33. Democratic incumbent 36 34. Republican incumbent 47 35. Democratic challenger 11 36. Republican challenger 102 97. Name not on candidate list 44 98. DK 99. NA 999 00. Inap, 5,8,9 in B2; 98,99 in B2a1; no further mention ============================== VAR 980229 B2b2.#2 RECALL PARTY, HOUSE CAND COLUMNS 589 - 589 NUMERIC MD EQ 0, GE 8 B2b2. IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF SECOND RECALLED HOUSE CANDIDATE --------------------------------------------------------------------- This codes the party which R identified in association with name recalled. Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2 in Summary.1): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. 132 1. Democrat 118 2. Republican 25 7. Other party (specify) 4 8. DK 3 9. NA 999 0. Inap, 5,8,9 in B2; 98,99 in B2a1; no further mention ============================== VAR 980230 B2b3.#2 HOUSE CAND RECALL- ACTUAL PARTY COLUMNS 590 - 590 NUMERIC MD EQ 0, GE 8 B2b3. IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? ACTUAL PARTY - 2ND RECALLED CANDIDATE --------------------------------------------------------------------- [PROBE: Any others?] Built from B2b1. See note B2b1. 63 1. Democratic candidate (31,33,35) 73 2. Republican candidate (32,34,36) 102 7. Name given not on candidate list (97) 44 8. DK name but know party 9. DK name and DK/NA party; NA 999 0. Inap, 5,8,9 in B2; 98,99 in B2a1; no further mention ============================== VAR 980231 B2b4.#2 HOUSE CAND RECALL- ACCURACY COLUMNS 591 - 591 NUMERIC MD EQ 0, GE 9 B2b4. IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? What is [NAME'S] party? 2ND RECALL ACCURACY --------------------------------------------------------------------- Built from B2b1, B2b2. See notes in B2b1, B2b2. 125 1. Valid candidate name given and correct party associated with name 6 2. Valid candidate name given but incorrect party associated with name 5 3. Valid candidate name given, DK or NA for party associated with name 100 4. Invalid candidate name given with any mention of party associated with name 2 5. Invalid candidate name given with DK or NA for party associated with name 44 6. No candidate name given (DK or NA) -- any party mention 7. No candidate name given (DK) -- DK or NA for party 9. NA for candidate name and NA for party mention 999 0. Inap, 5,8,9 in B2; 98,99 in B2a1; no further mention ============================== VAR 980232 B2c1.#3 RECALLED NAME, HOUSE CAND COLUMNS 592 - 593 NUMERIC MD EQ 0, GE 98 B2c1. IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? 3RD RECALLED HOUSE CANDIDATE NAME --------------------------------------------------------------------- [PROBE: Any others?] Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2 in Summary.1): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. 2 31. Democratic candidate in open race 32. Republican candidate in open race 1 33. Democratic incumbent 4 34. Republican incumbent 1 35. Democratic challenger 1 36. Republican challenger 22 97. Name not on candidate list 31 98. DK 99. NA 1219 00. Inap, 5,8,9 in B2; 98,99 in B2a1; no further mention ============================== VAR 980233 B2c2.#3 RECALL PARTY, HOUSE CAND COLUMNS 594 - 594 NUMERIC MD EQ 0, GE 8 B2c2. IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF THIRD RECALLED HOUSE CANDIDATE --------------------------------------------------------------------- This codes the party which R identified in association with name recalled. Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2 in Summary.1): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. 26 1. Democrat 17 2. Republican 19 7. Other party (specify) 8. DK 9. NA 1219 0. Inap, 5,8,9 in B2; 98,99 in B2a1; no further mention ============================== VAR 980234 B2c3.#3 HOUSE CAND RECALL- ACTUAL PARTY COLUMNS 595 - 595 NUMERIC MD EQ 0, GE 8 B2c3. IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? ACTUAL PARTY - 3RD RECALLED CANDIDATE --------------------------------------------------------------------- [PROBE: Any others?] Built from B2c1. See note B2c1. 4 1. Democratic candidate (31,33,35) 5 2. Republican candidate (32,34,36) 22 7. Name given not on candidate list (97) 31 8. DK name but know party 9. DK name and DK/NA party; NA 1219 0. Inap, 5,8,9 in B2; 98,99 in B2a1; no further mention ============================== VAR 980235 B2c4.#3 HOUSE CAND RECALL- ACCURACY COLUMNS 596 - 596 NUMERIC MD EQ 0, GE 9 B2c4. IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? What is [NAME'S] party? 3RD RECALL ACCURACY --------------------------------------------------------------------- Built from B2c1, B2c2. See notes in B2c1, B2c2. 8 1. Valid candidate name given and correct party associated with name 1 2. Valid candidate name given but incorrect party associated with name 3. Valid candidate name given, DK or NA for party associated with name 22 4. Invalid candidate name given with any mention of party associated with name 5. Invalid candidate name given with DK or NA for party associated with name 31 6. No candidate name given (DK or NA) -- any party mention 7. No candidate name given (DK) -- DK or NA for party 9. NA for candidate name and NA for party mention 1219 0. Inap, 5,8,9 in B2; 98,99 in B2a1; no further mention ============================== VAR 980236 B3.CONGRESS JOB APPROVE/DISAPPR COLUMNS 597 - 597 NUMERIC MD GE 8 B3. Do you APPROVE or DISAPPROVE of the way the U.S. Congress has been handling its job? --------------------------------------------------------------------- 596 1. Approve 572 5. Disapprove 101 8. DK 12 9. NA; RF ============================== VAR 980237 B3a/b.STRENGTH APPROVE/DISAPPR CONGRESS COLUMNS 598 - 598 NUMERIC MD EQ 0, GE 8 B3a/b. IF R APPROVES OF THE WAY CONGRESS HAS BEEN HANDLING ITS JOB: / IF R DISAPPROVES OF THE WAY CONGRESS HAS BEEN HANDLING ITS JOB: a. Do you approve STRONGLY or NOT STRONGLY? b. Do you disapprove STRONGLY or NOT STRONGLY? --------------------------------------------------------------------- Built from B3, B3a/b. 182 1. Approve strongly 411 2. Approve not strongly 236 4. Disapprove not strongly 336 5. Disapprove strongly 2 8. DK 1 9. NA; RF 113 0. Inap, 8,9 in B3 .................................................................. B4. Please look at page 2 of the booklet. / Please open the respondent booklet and skip past the first page. Now, looking at the second page of the booklet. I'd like to get your feelings toward some of our political leaders and other people who are in the news these days. I'll read the name of a person and I'd like you to rate that person using something we call the feeling thermometer. Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the person. Ratings between 0 and 50 degrees mean that you don't feel favorable toward the person and that you don't care too much for that person. You would rate the person at the 50 degree mark if you don't feel particularly warm or cold toward the person. If we come to a person whose name you don't recognize, you don't need to rate the person. Just tell me and we'll move on to the next one. ============================== VAR 980238 B4a.THERMOMETER CLINTON COLUMNS 599 - 601 NUMERIC MD GE 997 B4a. (Looking at page 2 of the booklet) (How would you rate) BILL CLINTON? CLINTON THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980239 B4b1.THERMOMETER DEM HOUSE CAND COLUMNS 602 - 604 NUMERIC MD GE 996 B4b1. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: (Looking at page 2 of the booklet) (How would you rate) [NAME #31,#33,#35]? DEMOCRATIC HOUSE CANDIDATE THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 996. Inap, no Democratic House candidate (House race type 24 in Cand.1) or Washington DC 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; Preload failure; RF ============================== VAR 980240 B4b2.THERMOMETER GOP HOUSE CAND COLUMNS 605 - 607 NUMERIC MD GE 996 B4b2. IF REPUBLICAN CANDIDATE IN HOUSE RACE: (Looking at page 2 of the booklet) (How would you rate) [NAME #32,#34,#36]? REPUBLICAN HOUSE CANDIDATE THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 996. Inap, no Republican House candidate (House race type 14 in Cand.1) or Washington DC 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; Preload failure; RF ============================== VAR 980241 B4c1.THERMOMETER DEM SEN CAND COLUMNS 608 - 610 NUMERIC MD GE 996 B4c1. IF DEMOCRATIC CANDIDATE IN SENATE RACE: (Looking at page 2 of the booklet) (How would you rate) [NAME #11, #13,#15]? DEMOCRATIC SENATE CANDIDATE THERMOMETER RATING DEMOCRATIC SENATE CANDIDATE THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 996. Inap, no race in state (81,82,85 in Cand.2) or Washington DC 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; Preload failure; RF ============================== VAR 980242 B4c2.THERMOMETER REP SEN CAND COLUMNS 611 - 613 NUMERIC MD GE 996 B4c2. IF REPUBLICAN CANDIDATE IN SENATE RACE: (Looking at page 2 of the booklet) (How would you rate) [NAME #12, #14,#16]? REPUBLICAN SENATE CANDIDATE THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 996. Inap, no race in state (81,82,85 in Cand.2) or Washington DC 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; Preload failure; RF ============================== VAR 980243 B4d.THERMOMETER AL GORE COLUMNS 614 - 616 NUMERIC MD GE 997 B4d. (Looking at page 2 of the booklet) (How would you rate) AL GORE? GORE THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980244 B4e.THERMOMETER NEWT GINGRICH COLUMNS 617 - 619 NUMERIC MD GE 997 B4e. (Looking at page 2 of the booklet) (How would you rate) NEWT GINGRICH? GINGRICH THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980245 B4f.THERMOMETER geORge BUSH JR COLUMNS 620 - 622 NUMERIC MD GE 997 B4f. (Looking at page 2 of the booklet) (How would you rate) GEORGE BUSH, JR? BUSH THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980246 B4g.THERMOMETER DAN QUAYLE COLUMNS 623 - 625 NUMERIC MD GE 997 B4g. (Looking at page 2 of the booklet) (How would you rate) DAN QUAYLE? QUAYLE THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980247 B4h.THERMOMETER STEVE FORBES COLUMNS 626 - 628 NUMERIC MD GE 997 B4h. (Looking at page 2 of the booklet) (How would you rate) STEVE FORBES? FORBES THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980248 B4i.THERMOMETER KEN STARR COLUMNS 629 - 631 NUMERIC MD GE 997 B4i. (Looking at page 2 of the booklet) (How would you rate) KEN STARR? STARR THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980249 B4j.THERMOMETER PAT BUCHANAN COLUMNS 632 - 634 NUMERIC MD GE 997 B4j. (Looking at page 2 of the booklet) (How would you rate) PAT BUCHANAN? BUCHANAN THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980250 B4k.THERMOMETER ELIZABETH DOLE COLUMNS 635 - 637 NUMERIC MD GE 997 B4k. (Looking at page 2 of the booklet) (How would you rate) ELIZABETH DOLE? ELIZABETH DOLE THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980251 B4m.THERMOMETER RICHARD gePHARDT COLUMNS 638 - 640 NUMERIC MD GE 997 B4m. (Looking at page 2 of the booklet) (How would you rate) RICHARD GEPHARDT? GEPHARDT THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 996. Inap, Gephardt Congressional District (MO03) 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980252 B4n.THERMOMETER PAUL WELLSTONE COLUMNS 641 - 643 NUMERIC MD GE 997 B4n. (Looking at page 2 of the booklet) (How would you rate) PAUL WELLSTONE? WELLSTONE THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980253 B4o.THERMOMETER JOHN MCCAIN COLUMNS 644 - 646 NUMERIC MD GE 997 B4o. (Looking at page 2 of the booklet) (How would you rate) JOHN MCCAIN? JOHN MCCAIN THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 996. McCain Congressional district 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980254 B4p.THERMOMETER BILL BRADLEY COLUMNS 647 - 649 NUMERIC MD GE 997 B4p. (Looking at page 2 of the booklet) (How would you rate) BILL BRADLEY? BILL BRADLEY THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980255 B4q.THERMOMETER BOB KERREY COLUMNS 650 - 652 NUMERIC MD GE 997 B4q. (Looking at page 2 of the booklet) (How would you rate) BOB KERREY? BOB KERREY THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980256 B4r.THERMOMETER JOHN KERRY COLUMNS 653 - 655 NUMERIC MD GE 997 B4r. (Looking at page 2 of the booklet) (How would you rate) JOHN KERRY? JOHN KERRY THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980257 B4s.THERMOMETER GARY BAUER COLUMNS 656 - 658 NUMERIC MD GE 997 B4s. (Looking at page 2 of the booklet) (How would you rate) GARY BAUER? BAUER THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980258 B4t.THERMOMETER JOHN ASHCROFT COLUMNS 659 - 661 NUMERIC MD GE 997 B4t. (Looking at page 2 of the booklet) (How would you rate) JOHN ASHCROFT? ASHCROFT THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980259 B4u.THERMOMETER HILLARY CLINTON COLUMNS 662 - 664 NUMERIC MD GE 997 B4u. (Looking at page 2 of the booklet) (How would you rate) HILLARY CLINTON? HILLARY CLINTON THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political figures B4b1-B4u randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980260 B5a.THERMOMETER DEMOCRATIC PARTY COLUMNS 665 - 667 NUMERIC MD GE 997 B5a. (Looking at page 2 of the booklet) (How would you rate) THE DEMOCRATIC PARTY? DEMOCRATIC PARTY THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political parties B5a-B5b randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980261 B5b.THERMOMETER REPUBLICAN PARTY COLUMNS 668 - 670 NUMERIC MD GE 997 B5b. (Looking at page 2 of the booklet) (How would you rate) THE REPUBLICAN PARTY? REPUBLICAN PARTY THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of political parties B5a-B5b randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980262 B5c.THERMOMETER BLACKS COLUMNS 671 - 673 NUMERIC MD GE 997 B5c. (Looking at page 2 of the booklet) (How would you rate) BLACKS BLACKS - THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of groups B5c-B5r randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980263 B5d.THERMOMETER RELIGIOUS RIGHT COLUMNS 674 - 676 NUMERIC MD GE 997 B5d. (Looking at page 2 of the booklet) (How would you rate) THE RELIGIOUS RIGHT THE RELIGIOUS RIGHT - THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of groups B5c-B5r randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980264 B5e.THERMOMETER CONSERVATIVES COLUMNS 677 - 679 NUMERIC MD GE 997 B5e. (Looking at page 2 of the booklet) (How would you rate) CONSERVATIVES CONSERVATIVES - THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of groups B5c-B5r randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980265 B5f.THEREMOMETER GAYS AND LESBIANS COLUMNS 680 - 682 NUMERIC MD GE 997 B5f. (Looking at page 2 of the booklet) (How would you rate) GAY MEN AND LESBIANS, HOMOSEXUALS GAY MEN AND LESBIANS - THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of groups B5c-B5r randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980266 B5g.THERMOMETER LABOR UNIONS COLUMNS 683 - 685 NUMERIC MD GE 997 B5g. (Looking at page 2 of the booklet) (How would you rate) LABOR UNIONS LABOR UNIONS - THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of groups B5c-B5r randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980267 B5h.THERMOMETER LIBERALS COLUMNS 686 - 688 NUMERIC MD GE 997 B5h. (Looking at page 2 of the booklet) (How would you rate) LIBERALS LIBERALS - THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of groups B5c-B5r randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980268 B5j.THERMOMETER POOR PEOPLE COLUMNS 689 - 691 NUMERIC MD GE 997 B5j. (Looking at page 2 of the booklet) (How would you rate) POOR PEOPLE POOR PEOPLE - THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of groups B5c-B5r randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980269 B5k.THERMOMETER RICH PEOPLE COLUMNS 692 - 694 NUMERIC MD GE 997 B5k. (Looking at page 2 of the booklet) (How would you rate) RICH PEOPLE RICH PEOPLE - THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of groups B5c-B5r randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980270 B5m.THERMOMETER WHITES COLUMNS 695 - 697 NUMERIC MD GE 997 B5m. (Looking at page 2 of the booklet) (How would you rate) WHITES WHITES - THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of groups B5c-B5r randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980271 B5n.THERMOMETER COLLEge-EDUCATED PEOPLE COLUMNS 698 - 700 NUMERIC MD GE 997 B5n. (Looking at page 2 of the booklet) (How would you rate) COLLEGE-EDUCATED PEOPLE COLLEGE EDUCATED PEOPLE - THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of groups B5c-B5r randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980272 B5p.THERMOMETER BUSINESS COLUMNS 701 - 703 NUMERIC MD GE 997 B5p. (Looking at page 2 of the booklet) (How would you rate) BUSINESS BUSINESS - THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of groups B5c-B5r randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980273 B5q.THERMOMETER CONGRESS COLUMNS 704 - 706 NUMERIC MD GE 997 B5q. (Looking at page 2 of the booklet) (How would you rate) THE U.S. CONGRESS U.S. CONGRESS - THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of groups B5c-B5r randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980274 B5r.THERMOMETER NEWS MEDIA COLUMNS 707 - 709 NUMERIC MD GE 997 B5r. (Looking at page 2 of the booklet) (How would you rate) THE NEWS MEDIA NEW MEDIA - THERMOMETER RATING --------------------------------------------------------------------- [PROBE FOR '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?] See B4 for full question text. Order of groups B5c-B5r randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR 980275 C1.LIKE ANYTHING- DEM HOUSE CAND? COLUMNS 710 - 710 NUMERIC MD EQ 0, GE 8 C1. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: (Next I would like to ask you some questions about the candidates who ran in this district for the U.S. House of Representatives.) Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? --------------------------------------------------------------------- Introductory sentence precedes question text only if first name administered. Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 313 1. Yes 383 5. No 308 7. "I don't know anything about this candidate" 3 8. DK 5 9. NA; Preload failure 269 0. Inap, no Democratic House candidate (type race 24); Washington DC ============================== VAR 980276 C1a1.#1 LIKE DEM HOUSE CANDIDATE COLUMNS 711 - 714 NUMERIC MD EQ 0, GE 9998 C1a1. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: (Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives?) (What was that?) MENTION 1 - DEMOCRATIC CANDIDATE 'LIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA; RF 0000. Inap, 5,7,8,9 in C1; no Democratic House candidate (type race 24); Washington DC ============================== VAR 980277 C1a2.#2 LIKE DEM HOUSE CANDIDATE COLUMNS 715 - 718 NUMERIC MD EQ 0 C1a2. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: (Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives?) (What was that?) MENTION 2 - DEMOCRATIC CANDIDATE 'LIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C1; 9998,9999 in C1a1; no further mention; no Democratic House candidate (type race 24); Washington DC ============================== VAR 980278 C1a3.#3 LIKE DEM HOUSE CANDIDATE COLUMNS 719 - 722 NUMERIC MD EQ 0 C1a3. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: (Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives?) (What was that?) MENTION 3 - DEMOCRATIC CANDIDATE 'LIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C1; 9998,9999 in C1a1; no further mention; no Democratic House candidate (type race 24); Washington DC ============================== VAR 980279 C1a4.#4 LIKE DEM HOUSE CANDIDATE COLUMNS 723 - 726 NUMERIC MD EQ 0 C1a4. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: (Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives?) (What was that?) MENTION 4 - DEMOCRATIC CANDIDATE 'LIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C1; 9998,9999 in C1a1; no further mention; no Democratic House candidate (type race 24); Washington DC ============================== VAR 980280 C1a5.#5 LIKE DEM HOUSE CANDIDATE COLUMNS 727 - 730 NUMERIC MD EQ 0 C1a5. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: (Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives?) (What was that?) MENTION 5 - DEMOCRATIC CANDIDATE 'LIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C1; 9998,9999 in C1a1; no further mention; no Democratic House candidate (type race 24); Washington DC ============================== VAR 980281 C2.DISLIKE ANYTHING- DEM HOUSE CAND? COLUMNS 731 - 731 NUMERIC MD EQ 0, GE 8 C2. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON." Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? --------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 152 1. Yes 539 5. No 7 8. DK 6 9. NA; Preload failure; RF 577 0. Inap, 7 in C1; no Democratic House candidate (type race 24); Washington DC ============================== VAR 980282 C2a1.#1 DISLIKE DEM HOUSE CANDIDATE COLUMNS 732 - 735 NUMERIC MD EQ 0, GE 9998 C2a1. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: (Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives?) (What was that?) MENTION 1 - DEMOCRATIC CANDIDATE 'DISLIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA; RF 0000. Inap, 7 in C1; 5,8,9 in C2; no Democratic House candidate (type race 24); Washington DC ============================== VAR 980283 C2a2.#2 DISLIKE DEM HOUSE CANDIDATE COLUMNS 736 - 739 NUMERIC MD EQ 0 C2a2. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: (Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives?) (What was that?) MENTION 2 - DEMOCRATIC CANDIDATE 'DISLIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C1; 5,8,9 in C2; 9998,9999 in C2a1; no further mention; no Democratic House candidate (type race 24); Washington DC ============================== VAR 980284 C2a3.#3 DISLIKE DEM HOUSE CANDIDATE COLUMNS 740 - 743 NUMERIC MD EQ 0 C2a3. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: (Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives?) (What was that?) MENTION 3 - DEMOCRATIC CANDIDATE 'DISLIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C1; 5,8,9 in C2; 9998,9999 in C2a1; no further mention; no Democratic House candidate (type race 24); Washington DC ============================== VAR 980285 C2a4.#4 DISLIKE DEM HOUSE CANDIDATE COLUMNS 744 - 747 NUMERIC MD EQ 0 C2a4. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: (Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives?) (What was that?) MENTION 4 - DEMOCRATIC CANDIDATE 'DISLIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C1; 5,8,9 in C2; 9998,9999 in C2a1; no further mention; no Democratic House candidate (type race 24); Washington DC ============================== VAR 980286 C2a5.#5 DISLIKE DEM HOUSE CANDIDATE COLUMNS 748 - 750 NUMERIC MD EQ 0 C2a5. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: (Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives?) (What was that?) MENTION 5 - DEMOCRATIC CANDIDATE 'DISLIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C1; 5,8,9 in C2; 9998,9999 in C2a1; no further mention; no Democratic House candidate (type race 24); Washington DC ============================== VAR 980287 C3.LIKE ANYTHING- REPUB HOUSE CAND? COLUMNS 751 - 751 NUMERIC MD EQ 0, GE 8 C3. IF REPUBLICAN CANDIDATE IN HOUSE RACE: Was there anything in particular that you LIKED about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? --------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 335 1. Yes 441 5. No 417 7. "I don't know anything about this candidate" 1 8. DK 4 9. NA; Preload failure 83 0. Inap, no Republican House candidate (type race 14); Washington DC ============================== VAR 980288 C3a1.#1 LIKE REPUB HOUSE CANDIDATE COLUMNS 752 - 755 NUMERIC MD EQ 0, GE 9998 C3a1. IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": (Was there anything in particular that you LIKED about [NAME #32,#34,#36] the Republican candidate for the U.S. House of Representatives?) (What was that?) MENTION 1 - REPUBLICAN CANDIDATE 'LIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA; RF 0000. Inap, 5,7,8,9 in C3; no Republican House candidate (type race 14); Washington DC ============================== VAR 980289 C3a2.#2 LIKE REPUB HOUSE CANDIDATE COLUMNS 756 - 759 NUMERIC MD EQ 0 C3a2. IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": (Was there anything in particular that you LIKED about [NAME #32,#34,#36] the Republican candidate for the U.S. House of Representatives?) (What was that?) MENTION 2 - REPUBLICAN CANDIDATE 'LIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C3; 9998,9999 in C3a1; no further mention; no Republican House candidate (type race 14); Washington DC ============================== VAR 980290 C3a3.#3 LIKE REPUB HOUSE CANDIDATE COLUMNS 760 - 763 NUMERIC MD EQ 0 C3a3. IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": (Was there anything in particular that you LIKED about [NAME #32,#34,#36] the Republican candidate for the U.S. House of Representatives?) (What was that?) MENTION 3 - REPUBLICAN CANDIDATE 'LIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C3; 9998,9999 in C3a1; no further mention; no Republican House candidate (type race 14); Washington DC ============================== VAR 980291 C3a4.#4 LIKE REPUB HOUSE CANDIDATE COLUMNS 764 - 767 NUMERIC MD EQ 0 C3a4. IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": (Was there anything in particular that you LIKED about [NAME #32,#34,#36] the Republican candidate for the U.S. House of Representatives?) (What was that?) MENTION 4 - REPUBLICAN CANDIDATE 'LIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C3; 9998,9999 in C3a1; no further mention; no Republican House candidate (type race 14); Washington DC ============================== VAR 980292 C3a5.#5 LIKE REPUB HOUSE CANDIDATE COLUMNS 768 - 771 NUMERIC MD EQ 0 C3a5. IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": (Was there anything in particular that you LIKED about [NAME #32,#34,#36] the Republican candidate for the U.S. House of Representatives?) (What was that?) MENTION 5 - REPUBLICAN CANDIDATE 'LIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C3; 9998,9999 in C3a1; no further mention; no Republican House candidate (type race 14); Washington DC ============================== VAR 980293 C4.DISLIKE ANYTHING- REPUB HOUSE CAND? COLUMNS 772 - 772 NUMERIC MD EQ 0, GE 8 C4. IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? --------------------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 200 1. Yes 569 5. No 7 8. DK 5 9. NA; Preload failure; RF 500 0. Inap, 7 in C3; no Republican House candidate (type race 14); Washington DC ============================== VAR 980294 C4a1.#1 DISLIKE REPUB HOUSE CANDIDATE COLUMNS 773 - 776 NUMERIC MD EQ 0, GE 9998 C4a1. IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: (Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives?) (What was that?) MENTION 1 - REPUBLICAN CANDIDATE 'DISLIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA; RF 0000. Inap, 7 in C3; 5,8,9 in C4; no Republican House candidate (type race 14); Washington DC ============================== VAR 980295 C4a2.#1 DISLIKE REPUB HOUSE CANDIDATE COLUMNS 777 - 780 NUMERIC MD EQ 0 C4a2. IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: (Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives?) (What was that?) MENTION 2 - REPUBLICAN CANDIDATE 'DISLIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C3; 5,8,9 in C4; 9998,9999 in C4a1; no further mention; no Republican House candidate (type race 14); Washington DC ============================== VAR 980296 C4a3.#3 DISLIKE REPUB HOUSE CANDIDATE COLUMNS 781 - 784 NUMERIC MD EQ 0 C4a3. IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: (Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives?) (What was that?) MENTION 3- REPUBLICAN CANDIDATE 'DISLIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C3; 5,8,9 in C4; 9998,9999 in C4a1; no further mention; no Republican House candidate (type race 14); Washington DC ============================== VAR 980297 C4a4.#4 DISLIKE REPUB HOUSE CANDIDATE COLUMNS 785 - 788 NUMERIC MD EQ 0 C4a4. IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: (Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives?) (What was that?) MENTION 4 - REPUBLICAN CANDIDATE 'DISLIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C3; 5,8,9 in C4; 9998,9999 in C4a1; no further mention; no Republican House candidate (type race 14); Washington DC ============================== VAR 980298 C4a5.#5 DISLIKE REPUB HOUSE CANDIDATE COLUMNS 789 - 792 NUMERIC MD EQ 0, GE 9998 C4a5. IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R'S RESPOND TO 'LIKE' QUESTION WAS NOT "I DON'T KNOW ANYTHING ABOUT THIS PERSON.": IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: (Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives?) (What was that?) MENTION 5 - REPUBLICAN CANDIDATE 'DISLIKES' --------------------------------------------------------------------- (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 7 in C3; 5,8,9 in C4; 9998,9999 in C4a1; no further mention; no Republican House candidate (type race 14); Washington DC ============================== VAR 980299 C5.(2 HSE CANS) EITHER CAND INCUMBENT? COLUMNS 793 - 793 NUMERIC MD EQ 0, GE 9 C5. IF R CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: Do you happen to know if either of these candidates [NAME #31,#33,#35] or [NAME #32,#34,#36] was already in the U. S. House of Representatives before the election? --------------------------------------------------------------------- [PROBE: IF R ANSWERS 'NO': "Do you mean 'neither' or 'don't know'?") Order in question text of Democratic and Republican House candidate names was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 218 1. Yes, Democratic candidate was 302 2. Yes, Republican candidate was 6 3. Both [VOLUNTEERED] 61 5. Neither of them was 342 7. No, don't know; not sure 2 9. NA 350 0. Inap, only one major party House candidate (type race 14 or 24) or Washington DC ============================== VAR 980300 C5a.CAND IDEN AS INCUM- 2 CAND RACE COLUMNS 794 - 795 NUMERIC MD EQ 0 C5a. IF R CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: IF R HAS IDENTIFIED 1 HOUSE CANDIDATE AS INCUMBENT: Which candidate was that? CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (2 CAND RACE) (2-CANDIDATE RACE) --------------------------------------------------------------------- Built from C5a. 10 31. Democratic candidate in open race 6 32. Republican candidate in open race 192 33. Democratic incumbent 288 34. Republican incumbent 16 35. Democratic challenger 8 36. Republican challenger 6 90. Both [VOL] 755 00. Inap, 0,5,7,9 in C5 ============================== VAR 980301 C6.(1 HSE CAND) IS CAND INCUMBENT? COLUMNS 796 - 796 NUMERIC MD EQ 0, GE 9 C6. IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES ONLY 1 MAJOR PARTY CANDIDATE: Do you happen to know if [NAME #31,33,32,34] was already in the House of Representatives before the election? --------------------------------------------------------------------- [PROBE: IF R ANSWERS 'NO': "Do you mean 'no he wasn't' or 'don't know'?"] 169 1. Yes, candidate was 16 5. No, candidate was not 158 7. No, don't know; not sure 5 9. NA 933 0. Inap, two major party House candidates in race (type race 12,21,55 or 65) or Washington DC ============================== VAR 980302 C6a.CAND IDEN AS INCUM- 1 CAND RACE COLUMNS 797 - 798 NUMERIC MD EQ 0 C6a. IF R CONGRESSIONAL DISTRICT RACE INCLUDES 1 MAJOR PARTY CANDIDATES: IF R HAS IDENTIFIED HOUSE CANDIDATE AS INCUMBENT: Which candidate was that? CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (1 CAND RACE) (2-CANDIDATE RACE) --------------------------------------------------------------------- Built from C6a. 31. Democratic candidate in open race 32. Republican candidate in open race 39 33. Democratic incumbent 130 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 1112 00. Inap, 0,5,7,9 in C6 ============================== VAR 980303 D1.DID R VOTE IN 1998? COLUMNS 799 - 799 NUMERIC MD GE 8 D1. In talking to people about elections, we often find that a lot of people were not able to vote because they weren't registered, they were sick, or they just didn't have time. How about you--did you vote in the elections this November? --------------------------------------------------------------------- 687 1. Yes, voted 591 5. No, didn't vote 2 6. R refused to say whether voted 1 8. DK 9. NA ============================== VAR 980304 D1a.WAS R REGISTERED? COLUMNS 800 - 800 NUMERIC MD EQ 0, GE 8 D1a. IF R DID NOT VOTE: Were you registered to vote in this election? --------------------------------------------------------------------- 347 1. Yes 237 5. No 7 8. DK 9. NA 690 0. Inap, R voted (1 in D1); refused to say/DK/NA if voted (6,8,9 in D1) ============================== VAR 980305 D2.IS R REGISTERED IN COUNTY? COLUMNS 801 - 801 NUMERIC MD EQ 0, GE 8 D2. IF R IS VOTER / IF R IS REGISTERED NONVOTER: WASHINGTON D.C.: Your residence is located in Washington D.C. Are you registered to vote in Washington D.C.? ALL OTHERS: Your residence is located in [county]. Are you registered to vote in [county]? --------------------------------------------------------------------- 956 1. Yes, registered in county 77 5. No, registered in another county 1 8. DK 9. NA 247 0. Inap, R unregistered nonvoter (5,8,9 in D1a); refused to say/DK/NA if voted (6,8,9 in D1) ============================== VAR 980306 D2a.(OUT OF COUNTY) COUNTY OF REGISTR COLUMNS 802 - 802 CHARACTER D2a. IF R IS VOTER/ IF R IS REGISTERED NONVOTER: IF R IS REGISTERED OUTSIDE COUNTY OF INTERVIEW: In what county and state are you registered? COUNTY - COUNTY AND STATE OF VOTER REGISTRATION --------------------------------------------------------------------- This variable has been blanked to protect the confidentiality of the respondent. ============================== VAR 980307 D2b1.(OUT OF COUNTY) STATE OF REG- CODE COLUMNS 803 - 804 NUMERIC MD EQ 0, GE 99 D2b. IF R IS VOTER/ IF R IS REGISTERED NONVOTER: IF R IS REGISTERED OUTSIDE COUNTY OF INTERVIEW: In what county and state are you registered? STATE - COUNTY AND STATE OF VOTER REGISTRATION --------------------------------------------------------------------- ICPSR State code 99. NA 00. Inap, R is unregistered nonvoter (5,8,9 in D1a); refused to say/DK/NA if voted (6,8,9 in D1); R is registered in county of IW (1 in D2); DK registration (8 in D2) ============================== VAR 980307a CHECKPOINT: DID R VOTE IN CD OF IW? COLUMNS 805 - 805 NUMERIC MD EQ 0, GE 9 D2c. IF R VOTED: DATA CHECK: IS CONGRESSIONAL DISTRICT OF VOTE SAME AS CONGRESSIONAL DISTRICT OF IW? --------------------------------------------------------------------- This variable documents whether the congressional district of vote was the same as congressional district of R's residence at the time of interviewing. This variable is coded for all cases where R voted outside county of IW location and for some cases where R voted within county of IW location. Although exact voting location was not asked in 1998, in all cases where respondent or interviewer comments indicated that district of vote might not correspond to district of IW location, an effort was made to determine the congressional district where R actually voted. Some voters who voted within county of residence nonetheless voted outside the congressional district corresponding to their interview location. 667 1. Yes, R voted in county of residence (1 in D2) and CD of vote is CD of residence 6 2. Yes, R did not vote in county of residence (5 in D2) but CD of vote is same as CD 3. No, R voted in county of residence (1 in D2) but CD of vote is not the CD of residence 10 4. No, R did not vote in county of residence (5 in D2) and CD of vote is not same 4 9. Some indication that R might have voted outside CD of IW but information insufficient to establish status within/outside CD of IW 594 0. Inap, R did not vote (5,6,8,9 in D1) ============================== VAR 980307b CHECKPOINT: R VOTE OUTSIDE STATE AND CD COLUMNS 806 - 806 NUMERIC MD EQ 0 D2d. IF CD OF VOTE NOT SAME AS CD OF INTERVIEW (RESIDENCE): DATA CHECK: VOTED OUTSIDE STATE? --------------------------------------------------------------------- 10 1. CD of vote is different or may be different [D2c] from CD of IW location (residence) 3 2. Both state and CD of vote are different 1268 0. Inap, R voted within CD of IW location (1,2 in D2c); R did not vote (5,6,8,9 in D1) ============================== VAR 980308 D3.DID R VOTE NOV 3RD OR BEFORE COLUMNS 807 - 807 NUMERIC MD EQ 0, GE 8 D3. IF R VOTED: Did you vote ON ELECTION DAY -- that is, November 3rd 1998, or did you vote at SOME TIME BEFORE that? --------------------------------------------------------------------- 586 1. On election day 101 5. Some time before 8. DK 9. NA 594 0. Inap, R did not vote (5,6,8,9 in D1) ============================== VAR 980309 D3a.(if BEFORE NOV 3) HOW LONG BEF COLUMNS 808 - 809 NUMERIC MD EQ 0, GE 98 D3a. IF R VOTED: IF R VOTED BEFORE ELECTION DAY: How long before November 3rd did you vote? --------------------------------------------------------------------- [PROBE: "A few days, a week, longer than that?"] 27 1. Less than one week, 1-6 days 32 2. One week; 7 days 29 3. 1-2 weeks; 8-14 days 3 4. 2-3 weeks; 15-21 days 1 5. 3-4 weeks; 22-28 days 6. One month; 29-31 days 2 7. More than one month; 32-60 days 4 11. A few days; a couple of days; several days -- NFS 12. A few weeks; a couple of weeks; several weeks -- NFS 91. More than a few days -- NFS 92. More than a few weeks --NFS 97. Other 98. DK; not sure 3 99. NA 1180 00. Inap, R did not vote (5,6,8,9 in D1); R voted but not before election day (1,8,9 in D3) ============================== VAR 980310 D4.DID R VOTE IN PERSON/ABSENTEE COLUMNS 810 - 810 NUMERIC MD EQ 0, GE 8 D4. IF R VOTED: IF R VOTED BEFORE ELECTION DAY: Did you vote IN PERSON or by ABSENTEE BALLOT? --------------------------------------------------------------------- 22 1. In person 79 5. By absentee 8. DK 9. NA 1180 0. Inap, R did not vote (5,6,8,9 in D1); R voted but not before election day (1,8,9 in D3) ============================== VAR 980311 D5.DID R VOTE FOR HOUSE CANDIDATE COLUMNS 811 - 811 NUMERIC MD EQ 0, GE 8 D5. IF R VOTED: IF TELEPHONE/PERSONAL INTERVIEW: IF R VOTED WITHIN COUNTY OF INTERVIEW: / IF R VOTED OUTSIDE COUNTY OF INTERVIEW:: PERSONAL INTERVIEW AND REGISTERED IN COUNTY OF RESIDENCE: [SHOW BALLOT CARD] Here is a list of candidates for the major races in this district. How about the election for the HOUSE OF REPRESENTATIVES in Washington? Did you vote for a candidate for the U.S. House of Representatives? PERSONAL INTERVIEW AND NOT REGISTERED IN COUNTY OF RESIDENCE: [DO NOT SHOW BALLOT CARD] How about the election for the HOUSE OF REPRESENTATIVES in Washington? Did you vote for a candidate for the U.S. House of Representatives? TELEPHONE INTERVIEW AND REGISTERED IN COUNTY OF INTERVIEW: Please take out the (color) sheet of paper that was folded inside your booklet. There you see a list of candidates for the major race(s) in this district. How about the election for the HOUSE OF REPRESENTATIVES in Washington? Did you vote for a candidate for the U.S. House of Representatives? TELEPHONE INTERVIEW AND REGISTERED OUTSIDE COUNTY OF INTERVIEW: [TELL RESPONDENT, IF NECESSARY, "We won't need to use the ballot card in your booklet since you are in a different city/town/county)."] How about the election for the HOUSE OF REPRESENTATIVES in Washington? Did you vote for a candidate for the U.S. House of Representatives? . --------------------------------------------------------------------- If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. 617 1. Yes 52 5. No 17 8. DK; refused 9. NA 595 0. Inap, R did not vote (5,6,8,9 in D1); Washington DC ============================== VAR 980312 D5a.R HOUSE VOTE- CODE COLUMNS 812 - 813 NUMERIC MD EQ 0, GE 98 D5a/D5aa. IF R VOTED: IF R VOTED FOR CANDIDATE FOR HOUSE OF REPRESENTATIVES: IF R VOTED IN COUNTY OF INTERVIEW: / IF R VOTED OUTSIDE COUNTY OF INTERVIEW:: Who did you vote for? CANDIDATE CODE OF HOUSE VOTE --------------------------------------------------------------------- Code 97 includes cases where R volunteered that he/she voted "a straight ticket" but no candidate for R's party ran; it also includes cases where R insists that he/she voted for a specific party's candidate but no candidate from that party ran in R's district. For Rs who voted outside of their interview location, code 97 includes candidates named by R but whose CD and party are not known. It also includes cases where R names a candidate but the name is not among names of candidates within a known 'outside' CD. 30. Third party or independent House candidate on ballot card 32 31. Democratic candidate - open House race 29 32. Republican candidate - open House race 145 33. Democratic House incumbent 219 34. Republican House incumbent 86 35. Democratic House challenger 38 36. Republican House challenger CODES 80-92 IF R VOTED OUTSIDE DISTRICT OF INTERVIEW: 80. Independent or minor party House candidate 81. Democratic candidate - open House race 82. Republican candidate - open House race 2 83. Democratic House incumbent 2 84. Republican House incumbent 1 85. Democratic House challenger 86. Republican House challenger 1 91. Democrat - no name given 1 92. Republican - no name given 38 97. Name not on candidate list for this race 22 98. DK; refused 1 99. NA 664 00. Inap, ; R did not vote (5,6,8,9 in D1); R did not vote in House election 5,8,9 in D5; R voted in county of interview (1 in D2); Washington DC ============================== VAR 980313 D5b.PARTY OF HOUSE VOTE COLUMNS 814 - 814 NUMERIC MD EQ 0, GE 8 D5b. IF R VOTED: IF R VOTED FOR CANDIDATE FOR HOUSE OF REPRESENTATIVES: Who did you vote for? PARTY OF HOUSE VOTE --------------------------------------------------------------------- Built from D5a/D5aa. 267 1. Democratic candidate (31,33,35,81,83,85,91) 289 2. Republican candidate (32,34,36,82,84,86,92) 3. Third party/independent candidate (30,80) 38 7. Name given not on Candidate List for this race 22 8. DK; refused (98) 1 9. NA (99) 664 0. Inap, R did not vote (5,6,8,9 in D1); R did not vote in House election 5,8,9 in D5; Washington DC ============================== VAR 980314 D5x.CKPOINT: SEN RACE IN STATE OF IW? COLUMNS 815 - 815 NUMERIC MD GE 9 D5x. IF R VOTED IN COUNTY OF INTERVIEW:: DATA CHECKPOINT: Senate race in state of interview? --------------------------------------------------------------------- Code 0 includes Washington DC. 212 0. No race in state (MA, MI, MN, NJ, NM, TN, TX, VA) 472 1. Race in state (AL, CA, CO, CT, FL, GA, IA, IL, IN, 597 9. Inap, R did not vote; R voted outside state of interview ============================== VAR 980314a D5x1.CKPOINT: SENATE RACE IN STATE? COLUMNS 816 - 816 NUMERIC MD GE 9 D5x1. IF R VOTED OUTSIDE COUNTY OF INTERVIEW:: DATA CHECKPOINT: Senate race in state of vote? --------------------------------------------------------------------- Code 0 includes Washington DC if R's 'outside' vote location is Washington DC. 1 0. No race in state (MA, MI, MN, NJ, NM, TN, TX, VA) 2 1. Race in state (AL, CA, CO, CT, FL, GA, IA, IL, IN, MD, MO, NH, NY, OH, OR, PA, UT, WA, WI) 1278 9. Inap, R did not vote (5,6,8,9 in D1); R voted outside state of IW but state of vote NA; R voted in state of IW ============================== VAR 980315 D6.DID R VOTE FOR SENATE CANDIDATE COLUMNS 817 - 817 NUMERIC MD EQ 0, GE 8 D6. IF R VOTED: IF SENATE RACE IN R'S STATE: IF R VOTED WITHIN COUNTY OF INTERVIEW: / IF R VOTED OUTSIDE COUNTY OF INTERVIEW:: [SHOW BALLOT CARD] (Still looking at the list of candidates) How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate? / [DO NOT SHOW BALLOT CARD] How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate? --------------------------------------------------------------------- Some Rs are registered in states other than that of their residence. If R is registered out of state, this variable applies to the out-of-state race (if one occurred), not to any Senate race in R's state of residence (if one occurred). If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. 438 1. Yes 25 5. No 1 7. R volunteers: No Senate race in state 10 8. DK; refused 9. NA 807 0. Inap, R did not vote (5,6,8,9 in D1); no race in state (0 in D5x or D5x1) ============================== VAR 980316 D6a.R SENATE VOTE - CODE COLUMNS 818 - 819 NUMERIC MD EQ 0, GE 98 D6a/D6aa. IF R VOTED: IF SENATE RACE IN R'S STATE: IF R VOTED FOR SENATOR: IF R VOTED IN COUNTY OF INTERVIEW: / IF R VOTED OUTSIDE COUNTY OF INTERVIEW:: Who did you vote for? CANDIDATE CODE OF SENATE VOTE --------------------------------------------------------------------- 10. Third party or independent Senate candidate on Ballot card 22 11. Democratic candidate in open Senate race 20 12. Republican candidate in open Senate race 138 13. Democratic Senate incumbent 98 14. Republican Senate incumbent 71 15. Democratic Senate challenger 64 16. Republican Senate challenger CODES 80-92 IF R VOTED OUTSIDE STATE OF INTERVIEW: 80. Third party or independent Senate candidate 81. Democratic candidate in open Senate race 82. Republican candidate in open Senate race 83. Democratic Senate incumbent 1 84. Republican Senate incumbent 85. Democratic Senate challenger 1 86. Republican Senate challenger 91. Democrat - no name given 92. Republican - no name given 15 97. Name given not on candidate list for 8 98. DK; refused 99. NA 843 00. Inap, R did not vote (5,6,8,9 in D1); R did not vote in Senate election (5,7,8,9 in D6); no race in state (0 in D5x or D5x1) ============================== VAR 980317 D6b.PARTY OF SENATE VOTE COLUMNS 820 - 820 NUMERIC MD EQ 0, GE 8 D6b. IF R VOTED: IF R VOTED FOR SENATE CANDIDATE: Who did you vote for? PARTY OF SENATE VOTE --------------------------------------------------------------------- Built from D6a/D6aa. 231 1. Democratic candidate (11,13,15,81,83,85,91) 184 2. Republican candidate (12,14,16,82,84,86,92) 3. Third party/independent candidate (30,80) 15 7. Name given not on Candidate List for that race (97) 8 8. DK; refused (98) 9. NA (99) 843 0. Inap, R did not vote (5,6,8,9 in D1); R did not vote in Senate election (5,7,8,9 in D6) ; no race in state of vote (0 in D5x or D5x1) ============================== VAR 980318 D6x.CKPOINT: GUBERN RACE IN STATE IW COLUMNS 821 - 821 NUMERIC MD GE 9 D6x. IF R VOTED IN COUNTY OF INTERVIEW:: DATA CHECKPOINT: Gubernatorial race in state of interview? --------------------------------------------------------------------- Code 0 includes Washington DC. 117 0. No race in state of IW (IN, MO, NJ, UT, VA, WA) 567 1. Race in state of IW (AL, CA, CO, CT, FL, GA, IA, IL, 597 9. Inap, R did not vote (5,6,8,9 in D1); R voted outside state of IW ============================== VAR 980318a D6x1.CKPOINT: GUBERN RACE IN STATE VOTE COLUMNS 822 - 822 NUMERIC MD GE 9 D6x1. IF R VOTED OUTSIDE COUNTY OF INTERVIEW:: DATA CHECKPOINT: Gubernatorial race in state of vote? --------------------------------------------------------------------- Code 0 includes Washington DC. 2 0. No race in state of IW (IN, MO, NJ, UT, VA, WA) 1 1. Race in state of IW (AL, CA, CO, CT, FL, GA, IA, IL, MA, 1278 9. Inap, R did not vote (5,6,8,9 in D1); R voted outside state of IW but state of vote NA; R voted in state of interview ============================== VAR 980319 D7.DID R VOTE FOR GOVERNOR COLUMNS 823 - 823 NUMERIC MD EQ 0, GE 8 D7. IF R VOTED: IF GUBERNATORIAL RACE IN R'S STATE: IF R VOTED IN COUNTY OF INTERVIEW:/ IF R VOTED OUTSIDE COUNTY OF INTERVIEW:: [SHOW BALLOT CARD] (Still looking at the list of candidates) How about the election for Governor? Did you vote for a candidate for Governor? / [DO NOT SHOW BALLOT CARD] How about the election for the Governor? Did you vote for a candidate for Governor? --------------------------------------------------------------------- 552 1. Yes 14 5. No 7. R volunteers: No Gubernatorial race in state 1 8. DK 1 9. NA; RF 713 0. Inap, R did not vote (5,6,8,9 in D1); no race in state (0 in D6x or D6x1) ============================== VAR 980320 D7a.R GUBERNATORIAL VOTE- CODE COLUMNS 824 - 825 NUMERIC MD EQ 0, GE 98 D7a/D7aa. IF R VOTED: IF GUBERNATORIAL RACE IN R'S STATE: IF R VOTED FOR GOVERNOR: IF R VOTED IN COUNTY OF INTERVIEW:/ IF R VOTED OUTSIDE COUNTY OF INTERVIEW:: Who did you vote for? CANDIDATE CODE OF GUBERNATORIAL VOTE --------------------------------------------------------------------- Some Rs are registered in states other than that of their residence. If R is registered out of state, this variable applies to the out-of-state race (if one occurred), not to any Governor race in R's state of residence (if one occurred). Note: third party/independent candidates not also appearing on the study ballot card are usually coded 97, however an exception has been made in Minnesota due to the prominence and success of candidate Jesse Ventura subsequent to creation of the ballot cards. 9 50. Third party or independent gubernatorial candidate on ballot card 103 51. Democratic candidate in open Gubernatorial race 81 52. Republican candidate in open Gubernatorial race 34 53. Democratic Gubernatorial incumbent 175 54. Republican Gubernatorial incumbent 114 55. Democratic Gubernatorial challenger 9 56. Republican Gubernatorial challenger CODES 80-92 IF R VOTED OUTSIDE STATE OF INTERVIEW: 80. Independent or minor party candidate 81. Democratic candidate in open Gubernatorial race 1 82. Republican candidate in open Gubernatorial race 83. Democratic incumbent 84. Republican incumbent 85. Democratic challenger 86. Republican challenger 91. Democrat -- no name given 92. Republican -- no name given 12 97. Name given not on candidate list for this race 14 98. DK; refused to name candidate 99. NA 729 00. Inap, R did not vote (5,6,8,9 in D1); no race in state (0 in D6x or D6x1); R did not vote in gubernatorial election (5,7,8,9 in D7) ============================== VAR 980321 D7b.PARTY OF GUBERNATORIAL VOTE COLUMNS 826 - 826 NUMERIC MD EQ 0, GE 8 D7b. IF R VOTED: IF GUBERNATORIAL RACE IN R'S STATE: IF R VOTED FOR GOVERNOR: IF R VOTED IN COUNTY OF INTERVIEW:/ IF R VOTED OUTSIDE COUNTY OF INTERVIEW:: Who did you vote for? PARTY OF GUBERNATORIAL VOTE --------------------------------------------------------------------- 251 1. Democratic candidate (51,53,55,81,83,85,91) 266 2. Republican candidate (52,54,56,82,84,86,92) 9 3. Third party/independent candidate (50,80) 12 7. Name given not on Candidate List for that race (97) 6 8. DK; refused (98) 9. NA (99) 737 0. Inap, R did not vote (5,6,8,9 in D1); no race in state (0 in D6x or D6x1); R did not vote in gubernatorial election (5,7,8,9 in D7) ============================== VAR 980322 D8.NONVOTER- DID R PREFER HOUSE CAND COLUMNS 827 - 827 NUMERIC MD EQ 0, GE 8 D8. IF R DID NOT VOTE: [SHOW BALLOT CARD] Here is a list of candidates for the major races in this district. How about the election for the HOUSE OF REPRESENTATIVES in Washington? Did you prefer one of the candidates for the U.S. House of Representatives? --------------------------------------------------------------------- 230 1. Yes 345 5. No 14 8. DK 1 9. NA; RF 691 0. Inap, R voted or refused/NA if voted (1,6,8,9 in D1); Washington DC ============================== VAR 980323 D8a.NONVOTER- WHICH HOUSE CAND PREFER COLUMNS 828 - 829 NUMERIC MD EQ 0, GE 98 D8a. IF R DID NOT VOTE: IF R PREFERRED ONE OF THE CANDIDATES FOR HOUSE: Which candidate did you prefer? CANDIDATE CODE OF HOUSE PREFERENCE --------------------------------------------------------------------- 13 31. Democratic House candidate in open race 5 32. Republican House candidate in open race 78 33. Democratic House incumbent 78 34. Republican House incumbent 33 35. Democratic challenger 8 36. Republican challenger 13 97. Name not on candidate list for this race 98. DK 2 99. NA 1051 00. Inap, R voted or refused/NA if voted (1,6,8,9 in D1); Washington DC; no preference (5,8,9 in D8) ============================== VAR 980324 D8b.NONVOTER- PARTY HOUSE PREFERENCE COLUMNS 830 - 830 NUMERIC MD EQ 0, GE 8 D8b. IF R DID NOT VOTE: IF R PREFERRED ONE OF THE CANDIDATES FOR HOUSE: Which candidate did you prefer? PARTY OF NONVOTER HOUSE PREFERENCE --------------------------------------------------------------------- 124 1. Democratic candidate (31,33,35) 91 2. Republican candidate (32,34,36) 13 7. Name given not on Candidate List for that race (97) 8. DK (98) 2 9. NA (99) 1051 0. Inap, R voted or refused/NA if voted (1,6,8,9 in D1); Washington DC; no preference (5,8,9 in D8) ============================== VAR 980325 DATA CKPOINT: RUNNING INCUMBENT IN RACE COLUMNS 831 - 831 NUMERIC E0. DATA CHECKPOINT: RUNNING INCUMBENT IN CONGRESSIONAL RACE? --------------------------------------------------------------------- Code 0 includes Washington DC. Built from Cand.1 122 0. No running incumbent in House race 1140 1. Running incumbent in House race 19 9. Preload failure; Error in candidate code ============================== VAR 980326 E1.RUNNING HSE INCUM JOB APPROVE/DISAPP COLUMNS 832 - 832 NUMERIC MD EQ 0, GE 8 E1. IF RUNNING INCUMBENT IN R'S DISTRICT: In general, do you APPROVE or DISAPPROVE of the way Representative [NAME #33 OR NAME #34] has been handling his/her job? --------------------------------------------------------------------- 695 1. Approve 157 5. Disapprove 276 8. DK 31 9. NA; Preload failure; Error in candidate code; RF 122 0. Inap, no running incumbent (0 in E0) ============================== VAR 980327 E1a/b.STRENGTH APPR/DISAPP RUNG HSE INC COLUMNS 833 - 833 NUMERIC MD EQ 0, GE 8 E1a/b. IF RUNNING INCUMBENT IN R'S DISTRICT: IF R APPROVES OF PERFORMANCE OF RUNNING HOUSE INCUMBENT / IF R DISAPPROVES OF PERFORMANCE OF RUNNING HOUSE INCUMBENT: a. Do you approve STRONGLY or NOT STRONGLY? b. Do you disapprove STRONGLY or NOT STRONGLY? --------------------------------------------------------------------- 343 1. Approve strongly 349 2. Approve not strongly 82 4. Disapprove not strongly 74 5. Disapprove strongly 4 8. DK 9. NA 429 0. Inap, 0 in E0; 8,9 in E1 ============================== VAR 980328 E2.HOUSE INCUMB KEPT IN TOUCH W/DISTRICT COLUMNS 834 - 834 NUMERIC MD EQ 0, GE 8 E2. IF RUNNING INCUMBENT IN R'S DISTRICT: How good a job would you say U.S. Representative [NAME #33 OR NAME #34] does of keeping in touch with the people in your district -- does he/she do a VERY GOOD job, FAIRLY GOOD, FAIRLY POOR, or a VERY POOR job of keeping in touch with the people in this district? --------------------------------------------------------------------- 239 1. Very good 437 2. Fairly good 165 3. Fairly poor 129 4. Very poor 165 8. DK 24 9. NA; Preload failure; Error in candidate code; RF 122 0. Inap, 0 in E0 ============================== VAR 980329 E3.R KNOW #YRS HSE INCUMBENT HAS SERV COLUMNS 835 - 835 NUMERIC MD EQ 0, GE 8 E3. IF RUNNING INCUMBENT IN R'S DISTRICT: Do you happen to know about how many years [NAME #33 OR NAME #34] has been in the House of Representatives? --------------------------------------------------------------------- 352 1. Yes, R knows 741 5. No 47 8. DK 19 9. NA; Preload failure; Error in candidate code 122 0. Inap, 0 in E0 ============================== VAR 980330 E3a.#YRS HOUSE INCUMBENT HAS BEEN IN OFC COLUMNS 836 - 837 NUMERIC MD EQ 0, GE 98 E3a. IF RUNNING INCUMBENT IN R'S DISTRICT: IF R SAYS R KNOWS ABOUT HOW MANY YEARS HOUSE REPRESENTATIVE HAS BEEN IN OFFICE: About how many? --------------------------------------------------------------------- Code actual number and: 98. DK 99. NA 00. Inap, 0 in E0; 5,8,9 in E3 ============================== VAR 980331 E3b.INCUMBENT MORE/LESS 12 YRS IN OFFICE COLUMNS 838 - 838 NUMERIC MD EQ 0, GE 8 E3b. IF RUNNING INCUMBENT IN R'S DISTRICT: IF R SAYS DOESN'T KNOW HOW MANY YEARS HOUSE REPRESENTATIVE HAS BEEN IN OFFICE: Would you say LESS THAN 12 years, ABOUT 12 years, or MORE THAN 12 years? --------------------------------------------------------------------- 428 1. Less than 12 years 125 3. About 12 years 48 5. More than 12 years 185 8. DK 2 9. NA 493 0. Inap, 0,9 in E0; 1 in E3 ============================== VAR 980332 E4.HOW OFTEN HSE INCUM SUPPORT CLINTON COLUMNS 839 - 839 NUMERIC MD EQ 0, GE 8 E4. IF RUNNING INCUMBENT IN R'S DISTRICT: How often has Representative [NAME #33 OR NAME #34] supported President Clinton's legislative proposals? MORE THAN HALF the time, HALF, LESS THAN HALF the time, or are you not sure? --------------------------------------------------------------------- 93 1. More than half 49 3. Half 124 5. Less than half 873 8. DK; not sure 20 9. NA; Preload failure; Error in candidate code; RF 122 0. Inap, 0 in E0 ============================== VAR 980333 E4a.HSE INCUM SUPPORT CLINTON ALM ALWAYS COLUMNS 840 - 840 NUMERIC MD EQ 0, GE 8 E4a. IF RUNNING INCUMBENT IN R'S DISTRICT: IF R SAYS REPRESENTATIVE HAS SUPPORTED CLINTON MORE THAN HALF THE TIME: Would you say it was almost always? --------------------------------------------------------------------- 77 1. Yes 12 5. No 4 8. DK 9. NA 1188 0. Inap, 0 in E0; 3,5,8,9 in E4 ============================== VAR 980334 E4b.HSE INCUM SUPPORT CLINTON ALM NEVER COLUMNS 841 - 841 NUMERIC MD EQ 0, GE 8 E4b. IF RUNNING INCUMBENT IN R'S DISTRICT: IF R SAYS REPRESENTATIVE HAS SUPPORTED CLINTON LESS THAN HALF THE TIME: Would you say it was almost never? --------------------------------------------------------------------- 66 1. Yes 52 5. No 6 8. DK 9. NA 1157 0. Inap, 0 in E0; 1,3,8,9 in E4 ============================== VAR 980335 E5.APPROVE/DISAPP 12-YEAR TERM LIMIT COLUMNS 842 - 842 NUMERIC MD GE 8 E5. A law has been proposed that would limit the members of Congress to no more than 12 consecutive years of service in that office. Do you FAVOR or OPPOSE such a law? --------------------------------------------------------------------- 892 1. Favor 323 5. Oppose 22 7. Other (specify) [VOL] 41 8. DK 3 9. NA; RF ============================== VAR 980336 E6.R PARTY ID COLUMNS 843 - 843 NUMERIC MD GE 8 E6. Generally speaking, do you usually think of yourself as a REPUBLICAN, a DEMOCRAT, an INDEPENDENT, or what? --------------------------------------------------------------------- 478 1. Democrat 336 2. Republican 340 3. Independent 17 4. Other party 107 5. No preference 1 8. DK 2 9. NA; RF ============================== VAR 980337 E6a/b.STRENGTH PARTY ID COLUMNS 844 - 844 NUMERIC MD EQ 0, GE 8 E6a/b. IF R CONSIDERS SELF REPUBLICAN / IF R CONSIDERS SELF DEMOCRAT: a. Would you call yourself a STRONG Republican or a NOT VERY STRONG Republican? / b. Would you call yourself a STRONG Democrat or a NOT VERY STRONG Democrat? --------------------------------------------------------------------- 376 1. Strong 434 5. Not very strong 4 8. DK 9. NA 467 0. Inap, 3,4,5,8,9 in E6 ============================== VAR 980338 E6c.R CLOSER TO REPUB OR DEM PARTY COLUMNS 845 - 845 NUMERIC MD EQ 0, GE 8 E6c. IF R CONSIDERS SELF INDEPENDENT, NO PREFERENCE, OTHER: Do you think of yourself as CLOSER to the Republican Party or to the Democratic Party? --------------------------------------------------------------------- 133 1. Closer to Republican 145 3. Neither 181 5. Closer to Democratic 4 8. DK 1 9. NA 817 0. Inap, 1,2,8,9 in E6 ============================== VAR 980339 E6x.SUMMARY - PARTY ID COLUMNS 846 - 846 NUMERIC MD GE 8 E6x. Generally speaking, do you usually think of yourself as a REPUBLICAN, a DEMOCRAT, an INDEPENDENT, or what? Would you call yourself a strong [Republican/Democrat] or a not very strong [Republican/Democrat]? Do you think of yourself as closer to the Republican Party or to the Democratic Party? SUMMARY - PARTY ID --------------------------------------------------------------------- See E6, E6a/b, E6c for full question texts. Built from E6, E6a/b, E6c Code 8 (apolitical) was used only if the respondent had a code of 5 (no preference) in E6 and a code of 3,8 or 9 in E6c AND also showed little or no interest in politics in response to the following survey questions: A1 (interest in campaigns), B1 (care about Congressional race outcome), D1 (voted), F1 (follow public affairs); respondents who showed an interest in politics were coded 3. 239 0. Strong Democrat (1,1,0 in E6, E6a/b, E6c) 239 1. Weak Democrat (1,5/8/9,0 in E6, E6a/b, E6c) 181 2. Independent-Democrat (3/4/5,0,5 in E6, E6a/b, E6c 127 3. Independent-Independent (3,0,3/8/9 in E6, E6a/b, E6c; 5,0,3/8/9 if not apolitical) 133 4. Independent-Republican (3/4/5,0,1 in E6, E6a/b, E6c) 199 5. Weak Republican (2,5/8/9,0 in E6, E6a/b, E6c) 137 6. Strong Republican (2,1,0 in E6, E6a/b, E6c) 4 7. Other; minor party; refuses to say (4,0,3/8/9 in E6, E6a/b, E6c) 19 8. Apolitical (5,0,3/8/9 in E6, E6a/b, E6c and no interest in politics 3 9. NA (8/9,0,0 in E6, E6a/b, E6c) ============================== VAR 980340 F1.R FOLLOW GOVT AND PUBLIC AFFAIRS COLUMNS 847 - 847 NUMERIC MD GE 8 F1. Some people seem to follow what's going on in government and public affairs most of the time, whether there's an election going on or not. Others aren't that interested. Would you say you follow what's going on in government and public affairs MOST OF THE TIME, SOME OF THE TIME, ONLY NOW AND THEN, or HARDLY AT ALL? --------------------------------------------------------------------- 364 1. Most of the time 471 2. Some of the time 301 3. Only now and then 145 4. Hardly at all 8. DK 9. NA ============================== VAR 980341 F2(1). #1- MOST IMPORTANT PROBLEM COLUMNS 848 - 850 NUMERIC MD GE 998 F2(1). What do you think are the most important problems facing this country? [MENTION 1] --------------------------------------------------------------------- [PROBE: "Any other important problems facing the country?" UNTIL R says NONE] See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 998. DK 999. NA ============================== VAR 980342 F2(2).#2- MOST IMPORTANT PROBLEM COLUMNS 851 - 853 NUMERIC MD EQ 0 F2(2). What do you think are the most important problems facing this country? [MENTION 2] --------------------------------------------------------------------- [PROBE: "Any other important problems facing the country?" UNTIL R says NONE] See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 000. Inap, 998,999 in F2(1); no further mention ============================== VAR 980343 F2(3).#3- MOST IMPORTANT PROBLEM COLUMNS 854 - 856 NUMERIC MD EQ 0 F2(3). What do you think are the most important problems facing this country? [MENTION 3] --------------------------------------------------------------------- [PROBE: "Any other important problems facing the country?" UNTIL R says NONE] See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 000. Inap, 998,999 in F2(1); no further mention ============================== VAR 980344 F2(4).#4- MOST IMPORTANT PROBLEM COLUMNS 857 - 859 NUMERIC MD EQ 0 F2(4). What do you think are the most important problems facing this country? [MENTION 4] --------------------------------------------------------------------- [PROBE: "Any other important problems facing the country?" UNTIL R says NONE] See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 000. Inap, 998,999 in F2(1); no further mention ============================== VAR 980345 F3.CKPT: # MENTIONS MOST IMPORTANT PROB COLUMNS 860 - 860 NUMERIC F3. What do you think are the most important problems facing this country? CHECKPOINT - NUMBER OF MENTIONS FOR 'MOST IMPORTANT PROBLEM' --------------------------------------------------------------------- This data checkpoint gives an actual indication of the number of mentions provided by the respondent. Due to interviewer error in the instrument checkpoint, some cases which should have been coded as 'more than one' mention were coded as one or no mention, so that the F4 choice among multiple mentions was not asked. These cases have been coded NA in F4. 259 1. R has mentioned only one problem 984 3. R has mentioned more than one problem 38 5. R has not mentioned any problems ============================== VAR 980346 F4.CHOICE - MOST IMPORTANT PROBLEM COLUMNS 861 - 863 NUMERIC MD EQ 0, GE 998 F4. IF R HAS MENTIONED MORE THAN 1 'MOST IMPORTANT PROBLEM': Of those you've mentioned, what would you say is the single most important problem the country faces? --------------------------------------------------------------------- See note F3. Responses of Rs who mentioned only 1 problem were duplicated here. See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 998. DK 999. NA 000. Inap, 5 in F3 ============================== VAR 980347 F5.GOVT PERFORMANCE ON MOST IMP PROB COLUMNS 864 - 864 NUMERIC MD EQ 0, GE 8 F5. IF R HAS IDENTIFIED 'MOST IMPORTANT PROBLEM' (CHECKPOINT): How good of a job is the government in Washington doing in dealing with this problem, a GOOD job, ONLY FAIR, or a POOR job? --------------------------------------------------------------------- 112 1. A good job 465 3. Only fair 564 5. A poor job 16 8. DK 86 9. NA; RF 38 0. INAP, 5 in F3 ============================== VAR 980348 F6.PARTY PERFORMANCE ON MOST IMP PROB COLUMNS 865 - 865 NUMERIC MD EQ 0, GE 8 F6. Which political party do you think would be the most likely to get the government to do a better job in dealing with this problem -- [the REPUBLICANS, the DEMOCRATS], or WOULDN'T THERE BE MUCH DIFFERENCE between them? --------------------------------------------------------------------- Order in question text of "the Democrats" and "the Republicans" was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 185 1. Republicans 642 3. Democrats 312 5. Wouldn't be much difference between them/ No 20 8. DK 84 9. NA 38 0. INAP, 5 in F3 ============================== VAR 980349 G1.R CONTACTED BY POLITICAL PARTY COLUMNS 866 - 866 NUMERIC MD GE 8 G1. As you know, the political parties try to talk to as many people as they can to get them to vote for their candidate. Did anyone from one of the POLITICAL PARTIES call you up or come around and talk to you about the campaign this year? --------------------------------------------------------------------- 367 1. Yes 910 5. No 4 8. DK 9. NA ============================== VAR 980350 G1a.WHICH POLITICAL PARTY CONTACTED R COLUMNS 867 - 867 NUMERIC MD EQ 0, GE 8 G1a. IF POLITICAL PARTY CONTACTED R ABOUT CAMPAIGNS: (Did anyone from one of the political parties call you up or come around and talk to you about the campaign this year?) Which party was that? --------------------------------------------------------------------- 103 1. Democrats 86 3. Republicans 12 5. Other party - specify 136 6. Both parties 29 8. DK 1 9. NA; RF 914 0. Inap, 5,8,9 in G1 ============================== VAR 980351 G2.ANYONE CONTACT R ABOUT CANDIDATE COLUMNS 868 - 868 NUMERIC MD GE 8 G2. Other than someone from the two major parties, did anyone (else) call you up or come around and talk to you about supporting specific candidates in this last election? --------------------------------------------------------------------- 133 1. Yes 1145 5. No 3 8. DK 9. NA ============================== VAR 980352 G2a(1).#1- WHCH CAND R ASKED TO SUPPORT COLUMNS 869 - 870 NUMERIC MD EQ 0, GE 98 G2a(1). Which candidate(s) did (he/she/they) ask you to support? MENTION 1 - CANDIDATE SUPPORT CONTACT --------------------------------------------------------------------- Code 97 includes political figures named who were not running for office in 1998 (e.g. Clinton) and unidentifiable names not identified as state/local candidates. Independent or minor party candidates are coded 89 (other party) unless they are on the NES candidate list/ballot card; if on the ballot card they are coded 10/30/50. For voters who voted outside their district of IW, a check was made to see if any names were provided from the candidate list/ballot card for the district in which they voted (if identified). SENATE: 10. Independent/third party Senate candidate 11. Democratic Senate candidate (open race) without incumbent 12. Republican Senate candidate (open race) without incumbent 3 13. Democratic Senate incumbent candidate 1 14. Republican Senate incumbent candidate 4 15. Republican Senate challenger candidate 1 16. Republican Senate challenger candidate HOUSE: 30. Independent/third party House candidate 4 31. Democratic House candidate in district without incumbent 32. Republican House candidate in district without incumbent 3 33. Democratic House incumbent candidate 10 34. Republican House incumbent candidate 2 35. Democratic House challenger candidate 1 36. Republican House challenger candidate GUBERNATORIAL: 50. Independent/third party Governor candidate 4 51. Democratic Gubernatorial candidate (open race) 6 52. Republican Gubernatorial candidate (open race) 53. Democratic Gubernatorial Incumbent candidate 1 54. Republican Gubernatorial Incumbent candidate 3 55. Democratic Gubernatorial challenger candidate 56. Republican Gubernatorial challenger candidate OTHER PARTY-SPECIFIC: 71. Democratic Candidate(s)--NA which 1 72. Republican Candidate(s)--NA which 2 73. Other Democratic Candidate (any office level) 1 74. Other Republican Candidate (any office level) 1 80. Other independent or minor party candidate--any office level exc. Senate, House, Governor 2 81. Democratic Party 3 82. Republican Party 85. Anti-'Democrats'; against any Democratic candidate exc. Presidential 86. Anti-'Republicans'; against any Republican candidate exc. Presidential 7 89. Other party NOT PARTY SPECIFIC: 2 90. Vote on particular issue 1 91. 'Just to vote' 10 94. Nonpartisan/judicial candidates (state/local office) 10 95. Other candidate(s) for state/local offices (office level given but party 5 96. Other groups or individuals which are neither parties nor organized 17 97. Candidate name given but party/office level NA (low priority) 27 98. Don't know, can't remember (mention 1 only) 1 99. NA (mention 1 only) 1148 00. Inap, 5,8,9 in G2 ============================== VAR 980353 G2a(2).#2- WHCH CAND R ASKED TO SUPPORT COLUMNS 871 - 872 NUMERIC MD EQ 0 G2a(2). Which candidate(s) did (he/she/they) ask you to support? MENTION 2 - CANDIDATE SUPPORT CONTACT --------------------------------------------------------------------- Code 97 includes political figures named who were not running for office in 1998 (e.g. Clinton) and unidentifiable names not identified as state/local candidates. Independent or minor party candidates are coded 89 (other party) unless they are on the NES candidate list/ballot card; if on the ballot card they are coded 10/30/50. For voters who voted outside their district of IW, a check was made to see if any names were provided from the candidate list/ballot card for the district in which they voted (if identified). SENATE: 10. Independent/third party Senate candidate 11. Democratic Senate candidate (open race) without incumbent 1 12. Republican Senate candidate (open race) without incumbent 2 13. Democratic Senate incumbent candidate 1 14. Republican Senate incumbent candidate 1 15. Republican Senate challenger candidate 1 16. Republican Senate challenger candidate HOUSE: 30. Independent/third party House candidate 1 31. Democratic House candidate in district without incumbent 1 32. Republican House candidate in district without incumbent 1 33. Democratic House incumbent candidate 2 34. Republican House incumbent candidate 2 35. Democratic House challenger candidate 36. Republican House challenger candidate GUBERNATORIAL: 50. Independent/third party Governor candidate 1 51. Democratic Gubernatorial candidate (open race) 2 52. Republican Gubernatorial candidate (open race) 1 53. Democratic Gubernatorial Incumbent candidate 54. Republican Gubernatorial Incumbent candidate 55. Democratic Gubernatorial challenger candidate 56. Republican Gubernatorial challenger candidate OTHER PARTY-SPECIFIC: 71. Democratic Candidate(s)--NA which 72. Republican Candidate(s)--NA which 1 73. Other Democratic Candidate (any office level) 1 74. Other Republican Candidate (any office level) 80. Other independent or minor party candidate--any office level exc. Senate, House, Governor 81. Democratic Party 1 82. Republican Party 85. Anti-'Democrats'; against any Democratic candidate exc. Presidential 86. Anti-'Republicans'; against any Republican candidate exc. Presidential 89. Other party NOT PARTY SPECIFIC: 90. Vote on particular issue 91. 'Just to vote' 2 94. Nonpartisan/judicial candidates (state/local office) 2 95. Other candidate(s) for state/local offices (office level given but party 1 96. Other groups or individuals which are neither parties nor organized 2 97. Candidate name given but party/office level NA (low priority) 1254 00. Inap, 5,8,9 in G2; 98,99 in G2a(1); no further mention ============================== VAR 980354 G3.ANYONE TALK TO R ABOUT REGISTR/VOTG COLUMNS 873 - 873 NUMERIC MD GE 8 G3. During the campaign this year, did anyone talk to you about REGISTERING to vote or GETTING OUT TO VOTE? --------------------------------------------------------------------- 362 1. Yes, someone did 915 5. No, no one did 4 8. DK 9. NA ============================== VAR 980355 G4.DID RELIGIOUS/MORAL GROUP CONTACT R COLUMNS 874 - 874 NUMERIC MD GE 8 G4. Were there any groups concerned with MORAL OR RELIGIOUS ISSUES that tried to encourage you to vote in a particular way? --------------------------------------------------------------------- 120 1. Yes, there were groups 1157 5. No, no groups tried to encourage 4 8. DK 9. NA ============================== VAR 980356 G5.CAMPAIGN INFO AT R PLACE OF WORSHIP COLUMNS 875 - 875 NUMERIC MD GE 8 G5. Was information about candidates, parties, or political issues made available in your place of worship before the election? --------------------------------------------------------------------- 136 1. Yes 919 5. No, no information available 208 7. No, don't attend church (VOL) 15 8. DK 3 9. NA; RF ============================== VAR 980357 G5a.CLERGY ADVICE ON VOTING COLUMNS 876 - 876 NUMERIC MD EQ 0, GE 8 G5a. IF R HAS NOT INDICATED NONATTENDANCE IN PREVIOUS QUESTION: Did the clergy or other church leaders at your place of worship encourage you to vote for a particular candidate or party? --------------------------------------------------------------------- 41 1. Yes 1027 5. No 3 8. DK 2 9. NA; RF 208 0. Inap, R says he/she doesn't attend church (7 in G5) ============================== VAR 980358 G5b(1).#1 CLERGY RECOMMENDED CANDIDATE COLUMNS 877 - 878 NUMERIC MD EQ 0, GE 98 G5b(1). IF R ATTENDS CHURCH: IF CLERGY OR CHURCH LEADERS ENCOURAGED VOTE FOR SOME PARTICULAR CANDIDATE OR PARTY: Which candidate? MENTION 1 - CHURCH/CLERGY VOTE PARTY OR CANDIDATE --------------------------------------------------------------------- [PROBE: IF R SAYS CAN'T REMEMBER CANDIDATE NAME: "Which election or what office?" "Any others?"] The codes for this variable have been slightly changed from previous years. Code 97 includes political figures named who were not running for office in 1998 (e.g. Clinton) and unidentifiable names not identified as state/local candidates. Independent or minor party candidates are coded 89 (other party) unless they are on the NES candidate list/ballot card; if on the ballot card they are coded 10/30/50. For voters who voted outside their district of IW, a check was made to see if any names were provided from the candidate list/ballot card for the district in which they voted (if identified). SENATE: 11. Democratic Senate candidate in state without incumbent 12. Republican Senate candidate in state without incumbent 13. Democratic Senate incumbent candidate 14. Republican Senate incumbent candidate 1 15. Republican Senate challenger candidate 16. Republican Senate challenger candidate HOUSE: 31. Democratic House candidate in district without incumbent 32. Republican House candidate in district without incumbent 33. Democratic House incumbent candidate 1 34. Republican House incumbent candidate 35. Democratic House challenger candidate 36. Republican House challenger candidate GUBERNATORIAL: 1 51. Democratic Gubernatorial candidate (open race) 52. Republican Gubernatorial candidate (open race) 53. Democratic Gubernatorial Incumbent candidate 1 54. Republican Gubernatorial Incumbent candidate 2 55. Democratic Gubernatorial challenger candidate 56. Republican Gubernatorial challenger candidate OTHER PARTY-SPECIFIC: 1 71. Democratic Candidate(s)--NA which office 72. Republican Candidate(s)--NA which office 73. Other Democratic Candidate--any office level 74. Other Republican Candidate--any office level 80. Other independent or minor party candidate--any office level 5 81. Democratic Party 1 82. Republican Party 85. Anti-'Democrats'; against any Democratic candidate exc. Presidential 86. Anti-'Republicans'; against any Republican candidate exc. Presidential 89. Other party NOT PARTY SPECIFIC: 10 90. Vote on particular issue 4 91. 'Just to vote' 2 94. Nonpartisan/judicial candidate 1 95. Other candidate(s) for state/local offices (office level given but party 96. Other groups or individuals which are neither parties nor organized 3 97. Candidate name given but party/office level NA (low priority) 6 98. Don't know, can't remember (mention 1 only) 2 99. NA (mention 1 only) 1240 00. Inap, R does not attend church (7 in G5); no encouragement given by clergy (5,8,9 in G5a) ============================== VAR 980359 G5b(2).#2 CLERGY RECOMMENDED CANDIDATE COLUMNS 879 - 880 NUMERIC MD EQ 0 G5b(2). IF R ATTENDS CHURCH: IF CLERGY OR CHURCH LEADERS ENCOURAGED VOTE FOR SOME PARTICULAR CANDIDATE OR PARTY: Which candidate? MENTION 2 - CHURCH/CLERGY VOTE PARTY OR CANDIDATE --------------------------------------------------------------------- [PROBE: IF R SAYS CAN'T REMEMBER CANDIDATE NAME: "Which election or what office?" "Any others?"] The codes for this variable have been slightly changed from previous years. Code 97 includes political figures named who were not running for office in 1998 (e.g. Clinton) and unidentifiable names not identified as state/local candidates. Independent or minor party candidates are coded 89 (other party) unless they are on the NES candidate list/ballot card; if on the ballot card they are coded 10/30/50. For voters who voted outside their district of IW, a check was made to see if any names were provided from the candidate list/ballot card for the district in which they voted (if identified). SENATE: 11. Democratic Senate candidate in state without incumbent 12. Republican Senate candidate in state without incumbent 13. Democratic Senate incumbent candidate 14. Republican Senate incumbent candidate 1 15. Republican Senate challenger candidate 16. Republican Senate challenger candidate HOUSE: 31. Democratic House candidate in district without incumbent 32. Republican House candidate in district without incumbent 33. Democratic House incumbent candidate 34. Republican House incumbent candidate 35. Democratic House challenger candidate 36. Republican House challenger candidate GUBERNATORIAL: 1 51. Democratic Gubernatorial candidate (open race) 52. Republican Gubernatorial candidate (open race) 53. Democratic Gubernatorial Incumbent candidate 1 54. Republican Gubernatorial Incumbent candidate 55. Democratic Gubernatorial challenger candidate 56. Republican Gubernatorial challenger candidate OTHER PARTY-SPECIFIC: 71. Democratic Candidate(s)--NA which office 72. Republican Candidate(s)--NA which office 73. Other Democratic Candidate--any office level 74. Other Republican Candidate--any office level 80. Other independent or minor party candidate--any office level 81. Democratic Party 82. Republican Party 85. Anti-'Democrats'; against any Democratic candidate exc. Presidential 86. Anti-'Republicans'; against any Republican candidate exc. Presidential 89. Other party NOT PARTY SPECIFIC: 1 90. Vote on particular issue 91. 'Just to vote' 94. Nonpartisan/judicial candidate 95. Other candidate(s) for state/local offices (office level given but party 96. Other groups or individuals which are neither parties nor organized 97. Candidate name given but party/office level NA (low priority) 1277 00. Inap, R does not attend church (7 in G5); no encouragement given by clergy G5); no encouragement given by clergy (5,8,9 in G5a); 98, 99 in G5a1; no further mention ============================== VAR 980360 G5b(3).#3 CLERGY RECOMMENDED CANDIDATE COLUMNS 881 - 882 NUMERIC MD EQ 0 G5b(3). IF R ATTENDS CHURCH: IF CLERGY OR CHURCH LEADERS ENCOURAGED VOTE FOR SOME PARTICULAR CANDIDATE OR PARTY: Which candidate? MENTION 3 - CHURCH/CLERGY VOTE PARTY OR CANDIDATE --------------------------------------------------------------------- [PROBE: IF R SAYS CAN'T REMEMBER CANDIDATE NAME: "Which election or what office?" "Any others?"] The codes for this variable have been slightly changed from previous years. Code 97 includes political figures named who were not running for office in 1998 (e.g. Clinton) and unidentifiable names not identified as state/local candidates. Independent or minor party candidates are coded 89 (other party) unless they are on the NES candidate list/ballot card; if on the ballot card they are coded 10/30/50. For voters who voted outside their district of IW, a check was made to see if any names were provided from the candidate list/ballot card for the district in which they voted (if identified). SENATE: 11. Democratic Senate candidate in state without incumbent 12. Republican Senate candidate in state without incumbent 13. Democratic Senate incumbent candidate 14. Republican Senate incumbent candidate 15. Republican Senate challenger candidate 16. Republican Senate challenger candidate HOUSE: 31. Democratic House candidate in district without incumbent 32. Republican House candidate in district without incumbent 33. Democratic House incumbent candidate 34. Republican House incumbent candidate 35. Democratic House challenger candidate 36. Republican House challenger candidate GUBERNATORIAL: 51. Democratic Gubernatorial candidate (open race) 52. Republican Gubernatorial candidate (open race) 53. Democratic Gubernatorial Incumbent candidate 54. Republican Gubernatorial Incumbent candidate 55. Democratic Gubernatorial challenger candidate 56. Republican Gubernatorial challenger candidate OTHER PARTY-SPECIFIC: 71. Democratic Candidate(s)--NA which office 72. Republican Candidate(s)--NA which office 73. Other Democratic Candidate--any office level 74. Other Republican Candidate--any office level 80. Other independent or minor party candidate--any office level 81. Democratic Party 82. Republican Party 85. Anti-'Democrats'; against any Democratic candidate exc. Presidential 86. Anti-'Republicans'; against any Republican candidate exc. Presidential 89. Other party NOT PARTY SPECIFIC: 90. Vote on particular issue 91. 'Just to vote' 94. Nonpartisan/judicial candidate 95. Other candidate(s) for state/local offices (office level given but party 96. Other groups or individuals which are neither parties nor organized 1 97. Candidate name given but party/office level NA (low priority) 1280 00. Inap, R does not attend church (7 in G5); no encouragement given by clergy G5); no encouragement given by clergy (5,8,9 in G5a); 98, 99 in G5a1; no further mention ============================== VAR 980361 G6.R TALK TO OTHERS FOR/AGAINST CAND COLUMNS 883 - 883 NUMERIC MD GE 8 G6. We would like to find out about some of the things people do to help a party or a candidate win an election. During the campaign, did you talk to any people and try to show them why they should vote for or against one of the parties or candidates? --------------------------------------------------------------------- 256 1. Yes 1024 5. No 8. DK 1 9. NA; RF ============================== VAR 980362 G7.R DISPLAY CAMPGN BUTTON/SIGN/STICKER COLUMNS 884 - 884 NUMERIC MD GE 8 G7. Did you wear a campaign button, put a campaign sticker on your car, or place a sign in your window or in front of your house? --------------------------------------------------------------------- 79 1. Yes 1202 5. No 8. DK 9. NA ============================== VAR 980363 G8.R ATTEND CANDIDATE MEETINGS COLUMNS 885 - 885 NUMERIC MD GE 8 G8. Did you go to any political meetings, rallies, speeches, dinners, or things like that in support of a particular candidate? --------------------------------------------------------------------- 71 1. Yes 1209 5. No 1 8. DK 9. NA ============================== VAR 980364 G9.R WORK FOR CANDIDATE/PARTY COLUMNS 886 - 886 NUMERIC MD GE 8 G9. Did you do any (other) work for one of the parties or candidates? --------------------------------------------------------------------- 25 1. Yes 1255 5. No 1 8. DK 9. NA ============================== VAR 980365 G10.R CONTRIBUTE MONEY TO CANDIDATE COLUMNS 887 - 887 NUMERIC MD GE 8 G10. During an election year people are often asked to make a contribution to support campaigns. Did you give money to an INDIVIDUAL CANDIDATE running for public office? --------------------------------------------------------------------- 62 1. Yes 1217 5. No 1 8. DK 1 9. NA; RF ============================== VAR 980366 G10a.PARTY OF CANDIDATE- CONTRIBUTIOIN COLUMNS 888 - 888 NUMERIC MD EQ 0, GE 8 G10a. IF R MADE CONTRIBUTION TO CANDIDATE: Which party did that candidate belong to? --------------------------------------------------------------------- 31 1. Democrats 28 3. Republicans 1 5. Other (specify)[VOL] 2 6. Both a Democratic candidate and a Republican candidate 8. DK 9. NA 1219 0. Inap, 5,8,9 in G10 ============================== VAR 980367 G11.DID R GIVE MONEY TO POLITICAL PARTY COLUMNS 889 - 889 NUMERIC MD GE 8 G11. Did you give money to a POLITICAL PARTY during this election year? --------------------------------------------------------------------- 63 1. Yes 1217 5. No 1 8. DK 9. NA ============================== VAR 980368 G11a.WHICH PARTY DID R GIVE MONEY TO COLUMNS 890 - 890 NUMERIC MD EQ 0, GE 8 G11a. IF R MADE CONTRIBUTION TO PARTY: To which party did you give money? --------------------------------------------------------------------- 28 1. Democrats 26 3. Republicans 5 5. Other (specify)[VOL] 3 6. Both Democrats and Republicans [VOL] 1 8. DK 9. NA 1218 0. Inap, 5,8,9 in G11 ============================== VAR 980369 G12.DID R GIVE MONEY TO ANY OTHER GROUP COLUMNS 891 - 891 NUMERIC MD GE 8 G12. Did you give any money to ANY OTHER GROUP that supported or opposed candidates? --------------------------------------------------------------------- 50 1. Yes 1231 5. No 8. DK 9. NA ============================== VAR 980370 H1.ARE THERE IMP DifF BETW DEM/REP COLUMNS 892 - 892 NUMERIC MD GE 8 H1. Do you think there are any IMPORTANT DIFFERENCES in what the Republicans and Democrats stand for? --------------------------------------------------------------------- 738 1. Yes, differences 506 5. No, no differences 34 8. DK 3 9. NA; RF ============================== VAR 980371 H1a1.#1- IMPORTANT PARTY DifFERENCES COLUMNS 893 - 895 NUMERIC MD EQ 0, GE 9998 H1a1. IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? DIFFERENCE MENTION 1 --------------------------------------------------------------------- [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] See H1 for full text. See PARTY DIFFERENCES Master Code. 9998. DK 9999. NA 0000. Inap, 5,8,9 in H1 ============================== VAR 980372 H1b1.#1- PARTY REFERENCE IMP PARTY DifF COLUMNS 896 - 896 NUMERIC MD EQ 0, GE 8 H1a2. IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? PARTY REFERENCE - MENTION 1 --------------------------------------------------------------------- [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 275 1. Democratic party mention 1 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 301 5. Republican Party mention 6. Other party mentioned instead 107 7. Unclear party reference-- some substantive area of party difference 54 8. DK (998 in H1a1) 9. NA (999 in H1a1) 543 0. Inap, 0 in 5,8,9 in H1 ============================== VAR 980373 H1a2.#2- IMPORTANT PARTY DifFERENCES COLUMNS 897 - 899 NUMERIC MD EQ 0 H1b1. IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? DIFFERENCE MENTION 2 --------------------------------------------------------------------- [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 5,8,9 in H1; 998,999 in H1a1; no further mention ============================== VAR 980374 H1b2.#2- PARTY REFERENCE IMP PARTY DifF COLUMNS 900 - 900 NUMERIC MD EQ 0 H1b2. IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? PARTY REFERENCE - MENTION 2 --------------------------------------------------------------------- [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 239 1. Democratic party mention 2. Democratic Presidential candidate mention 1 4. Republican Presidential candidate mention 298 5. Republican Party mention 6. Other party mentioned instead 56 7. Unclear party reference-- some substantive area of party difference 687 0. Inap, 5,8,9 in H1; 998,999 in H1a1; no further mention ============================== VAR 980375 H1a3.#3- IMPORTANT PARTY DifFERENCES COLUMNS 901 - 903 NUMERIC MD EQ 0 H1c1. IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? DIFFERENCE MENTION 3 --------------------------------------------------------------------- [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap 5,8,9 in H1; 998,999 in H1a1; no further mention ============================== VAR 980376 H1b3.#3- PARTY REFERENCE IMP PARTY DifF COLUMNS 904 - 904 NUMERIC MD EQ 0 H1c2. IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? PARTY REFERENCE - MENTION 3 --------------------------------------------------------------------- [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 176 1. Democratic party mention 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 171 5. Republican Party mention 6. Other party mentioned instead 45 7. Unclear party reference-- some substantive area of party difference 889 0. Inap, 5,8,9 in H1; 998,999 in H1a1; no further mention ============================== VAR 980377 H1a4.#4- IMPORTANT PARTY DifFERENCES COLUMNS 905 - 907 NUMERIC MD EQ 0 H1d1. IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? DIFFERENCE MENTION 4 --------------------------------------------------------------------- [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 5,8,9 in H1; 998,999 in H1a1; no further mention ============================== VAR 980378 H1b4.#4- PARTY REFERENCE IMP PARTY DifF COLUMNS 908 - 908 NUMERIC MD EQ 0 H1d2. IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? PARTY REFERENCE - MENTION 4 --------------------------------------------------------------------- [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 108 1. Democratic party mention 1 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 106 5. Republican Party mention 6. Other party mentioned instead 14 7. Unclear party reference-- some substantive area of party difference 1052 0. Inap, 5,8,9 in H1; 998,999 in H1a1; no further mention ============================== VAR 980379 H1a5.#5- IMPORTANT PARTY DifFERENCES COLUMNS 909 - 911 NUMERIC MD EQ 0 H1e1. IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? DIFFERENCE MENTION 5 --------------------------------------------------------------------- [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 5,8,9 in H1; 998,999 in H1a1; no further mention ============================== VAR 980380 H1b5.#5- PARTY REFERENCE IMP PARTY DifF COLUMNS 912 - 912 NUMERIC MD EQ 0 H1e2. IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? PARTY REFERENCE - MENTION 5 --------------------------------------------------------------------- [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 40 1. Democratic party mention 1 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 40 5. Republican Party mention 6. Other party mentioned instead 6 7. Unclear party reference-- some substantive area of party difference 1194 0. Inap, 5,8,9 in H1; 998,999 in H1a1; no further mention ============================== VAR 980381 H1a6.#6- IMPORTANT PARTY DifFERENCES COLUMNS 913 - 915 NUMERIC MD EQ 0 H1f1. IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? DIFFERENCE MENTION 6 --------------------------------------------------------------------- [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 5,8,9 in H1; 998,999 in H1a1; no further mention ============================== VAR 980382 H1b6.#6- PARTY REFERENCE IMP PARTY DifF COLUMNS 916 - 916 NUMERIC MD EQ 0 H1f2. IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? PARTY REFERENCE - MENTION 6 --------------------------------------------------------------------- [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 1. Democratic party mention 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 5. Republican Party mention 6. Other party mentioned instead 7. Unclear party reference-- some substantive area of party difference 0. Inap, 5,8,9 in H1; 998,999 in H1a1; no further mention ============================== VAR 980383 H2.WHICH PARTY BETTER DEAL W/CRIME COLUMNS 917 - 917 NUMERIC MD GE 8 H2. (Which do you think would do a better job of) DEALING WITH THE CRIME PROBLEM ([the Democrats, the Republicans] or wouldn't there be any difference between them)? --------------------------------------------------------------------- (1) Order of performance items H2,H2a-H2d randomized (H3 always last, not randomized). (2) Order of the names of parties in question text was randomized in first item of series H2,H2a-H2d,H3 (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 256 1. Democrats 267 3. Republicans 652 5. Wouldn't be much difference between them/ No 49 7. Neither party [VOL] 56 8. DK 1 9. NA; RF ============================== VAR 980384 H2a.WHICH PARTY BETTER HANDLE ECONOMY COLUMNS 918 - 918 NUMERIC MD GE 8 H2a. (Which do you think would do a better job of) HANDLING THE NATION'S ECONOMY ([the Democrats, the Republicans] or wouldn't there be any difference between them)? --------------------------------------------------------------------- (1) Order of performance items H2,H2a-H2d randomized (H3 always last, not randomized). (2) Order of the names of parties in question text was randomized in first item of series H2,H2a-H2d,H3 (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 439 1. Democrats 341 3. Republicans 434 5. Wouldn't be much difference between them/ No 27 7. Neither party [VOL] 38 8. DK 2 9. NA; RF ============================== VAR 980385 H2b.WHICH PARTY BETTER HANDLE ENVIRNMENT COLUMNS 919 - 919 NUMERIC MD GE 8 H2b. (Which do you think would do a better job of) HANDLING THE PROBLEM OF POLLUTION AND THE ENVIRONMENT ([the Democrats, the Republicans] or wouldn't there be any difference between them)? --------------------------------------------------------------------- (1) Order of performance items H2,H2a-H2d randomized (H3 always last, not randomized). (2) Order of the names of parties in question text was randomized in first item of series H2,H2a-H2d,H3 (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 529 1. Democrats 105 3. Republicans 569 5. Wouldn't be much difference between them/ No 36 7. Neither party [VOL] 40 8. DK 2 9. NA; RF ============================== VAR 980386 H2c.WHICH PARTY BETTER HANDLE FORGN AFF COLUMNS 920 - 920 NUMERIC MD GE 8 H2c. (Which do you think would do a better job of) HANDLING FOREIGN AFFAIRS ([the Democrats, the Republicans] or wouldn't there be any difference between them)? --------------------------------------------------------------------- (1) Order of performance items H2,H2a-H2d randomized (H3 always last, not randomized). (2) Order of the names of parties in question text was randomized in first item of series H2,H2a-H2d,H3 (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 303 1. Democrats 316 3. Republicans 574 5. About the same by both 32 7. Neither party [VOL] 54 8. DK 2 9. NA; Surveycraft failure; RF ============================== VAR 980387 H2d.WHICH PARTY BETTER PROTECT SOC SEC COLUMNS 921 - 921 NUMERIC MD GE 8 H2d. (Which do you think would do a better job of) PROTECTING SOCIAL SECURITY ([the Democrats, the Republicans] or wouldn't there be any difference between them)? --------------------------------------------------------------------- (1) Order of performance items H2,H2a-H2d randomized (H3 always last, not randomized). (2) Order of the names of parties in question text was randomized in first item of series H2,H2a-H2d,H3 (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 554 1. Democrats 216 3. Republicans 426 5. Wouldn't be much difference between them/ No 38 7. Neither party [VOL] 44 8. DK 3 9. NA; Surveycraft failure; RF ============================== VAR 980388 H3.WHICH PARTY BETTER FOR AM FAMILIES COLUMNS 922 - 922 NUMERIC MD GE 8 H3. Which party do you think HAS THE BETTER POLICIES FOR THE AMERICAN FAMILY, ([the Democrats, the Republicans], or wouldn't there be much difference between them? --------------------------------------------------------------------- Order of the names of parties in question text was randomized in first item of series H2,H2a-H2d,H3 (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 528 1. Democrats 302 3. Republicans 346 5. Wouldn't be much difference between them/ No 54 7. Neither party [VOL] 49 8. DK 2 9. NA; RF ................................................................ H4. Now we would like to know something about the feelings that you have toward the President. I want you to tell me whether something about the President, or something he has done has made you have certain feelings like anger or pride. ============================== VAR 980389 H4a.ANGRY- CLINTON AFFECT COLUMNS 923 - 923 NUMERIC MD GE 8 H4a. (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) ANGRY? --------------------------------------------------------------------- Presidential candidate affects H4a-H4e are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 734 1. Yes 542 5. No 8. DK 5 9. NA; RF ============================== VAR 980390 H4a1.ANGRY- HOW OFT CLINTON AFFECT COLUMNS 924 - 924 NUMERIC MD EQ 0, GE 8 H4a1. IF CLINTON HAS MADE R FEEL ANGRY: How often (would you say you've felt ANGRY --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? --------------------------------------------------------------------- 177 1. Very often 146 2. Fairly often 286 3. Occasionally 125 4. Rarely 8. DK 9. NA 547 0. Inap, 5,8,9 in H4a ============================== VAR 980391 H4b.HOPEFUL- CLINTON AFFECT COLUMNS 925 - 925 NUMERIC MD GE 8 H4b. (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) HOPEFUL? --------------------------------------------------------------------- Presidential candidate affects H4a-H4e are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 695 1. Yes 573 5. No 7 8. DK 6 9. NA; RF ============================== VAR 980392 H4b1.HOPEFUL- HOW OFT CLNTN AFFECT COLUMNS 926 - 926 NUMERIC MD EQ 0, GE 8 H4b1. IF CLINTON HAS MADE R FEEL HOPEFUL: How often (would you say you've felt HOPEFUL--) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? --------------------------------------------------------------------- 124 1. Very often 192 2. Fairly often 301 3. Occasionally 78 4. Rarely 8. DK 9. NA 586 0. Inap, 5,8,9 in H4b ============================== VAR 980393 H4c.AFRAID- CLINTON AFFECT COLUMNS 927 - 927 NUMERIC MD GE 8 H4c. (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) AFRAID? --------------------------------------------------------------------- Presidential candidate affects H4a-H4e are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 270 1. Yes 1004 5. No 2 8. DK 5 9. NA; RF ============================== VAR 980394 H4c1.AFRAID- HOW OFT CLNTON AFFECT COLUMNS 928 - 928 NUMERIC MD EQ 0, GE 8 H4c1. IF CLINTON HAS MADE R FEEL AFRAID: How often (would you say you've felt AFRAID --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? --------------------------------------------------------------------- 43 1. Very often 50 2. Fairly often 107 3. Occasionally 70 4. Rarely 8. DK 9. NA 1011 0. Inap, 5,8,9 in H4c ============================== VAR 980395 H4d.PROUD- CLINTON AFFECT COLUMNS 929 - 929 NUMERIC MD GE 8 H4d. (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) PROUD? --------------------------------------------------------------------- Presidential candidate affects H4a-H4e are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 633 1. Yes 637 5. No 5 8. DK 6 9. NA; RF ============================== VAR 980396 H4d1.PROUD- HOW OFT CLINTON AFFECT COLUMNS 930 - 930 NUMERIC MD EQ 0, GE 8 H4d1. IF CLINTON HAS MADE R FEEL PROUD: How often (would you say you've felt PROUD --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? --------------------------------------------------------------------- 119 1. Very often 168 2. Fairly often 278 3. Occasionally 68 4. Rarely 8. DK 9. NA 648 0. Inap, 5,8,9 in H4d ============================== VAR 980397 H4e.DISGUSTED- CLINTON AFFECT COLUMNS 931 - 931 NUMERIC MD GE 8 H4e. (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) DISGUSTED? --------------------------------------------------------------------- Presidential candidate affects H4a-H4e are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 880 1. Yes 397 5. No 8. DK 4 9. NA; RF ============================== VAR 980398 H4e1.DISGUSTED- HOW OFTEN CLINTON AFFECT COLUMNS 932 - 932 NUMERIC MD EQ 0, GE 8 H4e1. How often (would you say you've felt DISGUSTED --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? --------------------------------------------------------------------- 247 1. Very often 198 2. Fairly often 276 3. Occasionally 159 4. Rarely 8. DK 9. NA 401 0. Inap, 5,8,9 in H4e ................................................................ H5. Please look at page 3 of the booklet. 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. ============================== VAR 980399 H5a.R PLACEMENT LIB-CON SCALE COLUMNS 933 - 933 NUMERIC MD EQ 0, GE 8 H5a. [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE --------------------------------------------------------------------- [IWER: DO NOT PROBE "DK"] See H5 for full text. 30 1. Extremely liberal 91 2. Liberal 127 3. Slightly liberal 371 4. Moderate; middle of the road 201 5. Slightly conservative 165 6. Conservative 33 7. Extremely conservative 21 8. DK 1 9. NA; RF 241 0. Haven't thought much [DO NOT PROBE] ============================== VAR 980400 H5a1.R CERTAIN LIB-CON SELF-PLACEMENT COLUMNS 934 - 934 NUMERIC MD EQ 0, GE 8 H5a1. IF R HAS PLACED SELF 1-3 OR 5-7 ON LIBERAL-CONSERV SCALE AT G4a/G4aa: How certain are you of this? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? --------------------------------------------------------------------- See H5 for full question text. 291 1. Very certain 312 3. Pretty certain 44 5. Not very certain 8. DK 9. NA 634 0. Inap, 0,4,8,9 in H5a ============================== VAR 980401 H5aa.HAD TO CHOOSE LIB-CON SELF-PLACEMT COLUMNS 935 - 935 NUMERIC MD EQ 0, GE 8 H5aa. IF R SAYS DK, HAVEN'T THOUGHT OR MODERATE FOR SELF-PLACEMENT ON LIBERAL/CONSERVATIVE SCALE: If you had to choose, would you consider yourself a LIBERAL or a CONSERVATIVE? --------------------------------------------------------------------- See H5 for full question text. 181 1. Liberal 82 3. Conservative 280 5. Moderate [VOL] 77 7. R refuses to choose [VOL] 13 8. DK 9. NA 648 0. Inap, 1-3,5-7,9 in H5a ============================== VAR 980402 H5x.SUMMARY- SELF-PLACEMENT LIB-CON COLUMNS 936 - 936 NUMERIC MD EQ 0, GE 8 H5x. [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? If you had to choose, would you consider yourself a LIBERAL or a CONSERVATIVE? SUMMARY - SELF-PLACEMENT ON LIBERAL-CONSERVATIVE SCALE --------------------------------------------------------------------- See H5, H5aa for full question texts. Built from H5, H5aa. 429 1. Liberal (1/2/3,0; 0/4/8,1) 306 3. Moderate (0/4/8,5; 4,7/8/9) 481 5. Conservative (5/6/7,0; 0/4/8,3) 51 7. Refused to choose (0/8,7) 13 8. DK (0/8,8) 1 9. NA/RF to entire question series (9,0) 0. NA to follow up question G4aa (0/8,9) ============================== VAR 980403 H5b.CLINTON PLACEMENT LIB-CON SCALE COLUMNS 937 - 937 NUMERIC MD GE 8 H5b. [RB] Where would you place BILL CLINTON on this scale? CLINTON PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE --------------------------------------------------------------------- [IWER: DO NOT PROBE "DK"] See H5 for full text. 146 1. Extremely liberal 296 2. Liberal 222 3. Slightly liberal 294 4. Moderate; middle of the road 102 5. Slightly conservative 73 6. Conservative 34 7. Extremely conservative 113 8. DK 1 9. NA; RF ============================== VAR 980404 H5b1.CLINTON- CERTAIN LIB-CON PLACEMENT COLUMNS 938 - 938 NUMERIC MD EQ 0, GE 8 H5b1. IF R HAS PLACED BILL CLINTON ON LIBERAL-CONSERVATIVE SCALE: How certain are you (of BILL CLINTON'S position on this scale?) (VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN?) --------------------------------------------------------------------- 290 1. Very certain 630 3. Pretty certain 245 5. Not very certain 2 8. DK 9. NA 114 0. Inap, 8,9 in H5b ============================== VAR 980405 H5c.GORE PLACEMENT LIB-CON SCALE COLUMNS 939 - 939 NUMERIC MD GE 8 H5c. [RB] Where would you place AL GORE on this scale? GORE PLACEMENT ON LIBERAL-CONSERVATIVE SCALE --------------------------------------------------------------------- [IWER: DO NOT PROBE "DK"] See H5 for full text. 77 1. Extremely liberal 212 2. Liberal 237 3. Slightly liberal 275 4. Moderate; middle of the road 132 5. Slightly conservative 70 6. Conservative 37 7. Extremely conservative 240 8. DK 1 9. NA; RF ============================== VAR 980406 H5c1.GORE- CERTAIN LIB-CON PLACEMENT COLUMNS 940 - 940 NUMERIC MD EQ 0, GE 8 H5c1. IF R HAS PLACED GORE ON LIBER-CONSERVATIVE SCALE: How certain are you (of AL GORE's position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) --------------------------------------------------------------------- 237 1. Very certain 521 3. Pretty certain 282 5. Not very certain 8. DK 9. NA 241 0. Inap, 8,9 in H5c ============================== VAR 980407 H5d.DEM HSE CAND PLACEMT- LIB-CON SCALE COLUMNS 941 - 941 NUMERIC MD EQ 0, GE 8 H5d. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: [RB] Where would you place [NAME #31,33,35] on this scale? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON LIBERAL- CONSERVATIVE SCALE. --------------------------------------------------------------------- [IWER: DO NOT PROBE "DK"] See H5 for full text. House candidate names H5d-H5e are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 29 1. Extremely liberal 112 2. Liberal 147 3. Slightly liberal 151 4. Moderate; middle of the road 74 5. Slightly conservative 46 6. Conservative 9 7. Extremely conservative 439 8. DK 5 9. NA; Preload failure; RF 269 0. Inap, no Democratic House candidate (race type 24 in Cand.1); Washington DC ============================== VAR 980408 H5d1.DEM HSE CAND- CERTAIN LIB-CON PLACE COLUMNS 942 - 942 NUMERIC MD EQ 0, GE 8 H5d1. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: IF R HAS PLACED DEMOCRATIC HOUSE CANDIDATE ON LIBERAL- CONSERVATIVE SCALE: How certain are you (of [NAME #31,33,35]'s position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) --------------------------------------------------------------------- 115 1. Very certain 280 3. Pretty certain 173 5. Not very certain 8. DK 9. NA; Preload failure 713 0. Inap, no Democratic House candidate (race type 24); Washington DC); candidate (race type 24); Washington DC); 8,9 in H5d ============================== VAR 980409 H5e.REP HSE CAND PLACEMT LIB-CON SCALE COLUMNS 943 - 943 NUMERIC MD EQ 0, GE 8 H5e. IF REPUBLICAN CANDIDATE IN HOUSE RACE: [RB] Where would you place [NAME #32,34,36] on this scale? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON LIBERAL- CONSERVATIVE SCALE --------------------------------------------------------------------- [IWER: DO NOT PROBE "DK"] See H5 for full text. House candidate names H5d-H5e are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 15 1. Extremely liberal 17 2. Liberal 48 3. Slightly liberal 158 4. Moderate; middle of the road 173 5. Slightly conservative 214 6. Conservative 36 7. Extremely conservative 533 8. DK 4 9. NA; Preload failure; RF 83 0. Inap, no Republican House candidate (race type 14 in Cand.1); Washington DC ============================== VAR 980410 H5e1.REP HSE CAND- CERTAIN LIB-CON SCALE COLUMNS 944 - 944 NUMERIC MD EQ 0, GE 8 H5e1. IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R HAS PLACED REPUBLICAN HOUSE CANDIDATE ON LIBERAL- CONSERVATIVE SCALE : How certain are you (of [NAME #32,34,36]'s position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) --------------------------------------------------------------------- 155 1. Very certain 309 3. Pretty certain 197 5. Not very certain 8. DK 9. NA; Preload failure 620 0. Inap, no Republican House candidate (race type 24); Washington DC; 8,9 in H5e ============================== VAR 980411 H5f.DEM PARTY PLACEMENT LIB-CON SCALE COLUMNS 945 - 945 NUMERIC MD GE 8 H5f. [RB] Where would you place the DEMOCRATIC PARTY on this scale? DEMOCRATIC PARTY PLACEMENT ON LIBERAL-CONSERVATIVE SCALE --------------------------------------------------------------------- [IWER: DO NOT PROBE "DK"] See H5 for full text. Major parties H5f-H5g are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 57 1. Extremely liberal 314 2. Liberal 320 3. Slightly liberal 223 4. Moderate; middle of the road 128 5. Slightly conservative 64 6. Conservative 36 7. Extremely conservative 137 8. DK 2 9. NA; RF ============================== VAR 980412 H5g.REPUB PARTY PLACEMENT LIB-CON SCALE COLUMNS 946 - 946 NUMERIC MD GE 8 H5g. [RB] Where would you place the REPUBLICAN PARTY on this scale? REPUBLICAN PARTY PLACEMENT ON LIBERAL-CONSERVATIVE SCALE --------------------------------------------------------------------- [IWER: DO NOT PROBE "DK"] See H5 for full text. Major parties H5f-H5g are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 28 1. Extremely liberal 55 2. Liberal 90 3. Slightly liberal 159 4. Moderate; middle of the road 268 5. Slightly conservative 421 6. Conservative 101 7. Extremely conservative 157 8. DK 2 9. NA; RF ============================== VAR 980413 J1.COUNTRY IN RIGHT DIRECT/WRONG TRACK COLUMNS 947 - 947 NUMERIC MD GE 8 J1. Not using the booklet... Do you feel things in this country are generally going in the RIGHT DIRECTION, or do you feel that things have pretty seriously gotten off on the WRONG TRACK? --------------------------------------------------------------------- 741 1. Right direction 506 5. Wrong track 29 8. DK 5 9. NA; RF ============================== VAR 980414 J2.R BETTER/WORSE OFF IN LAST YR COLUMNS 948 - 948 NUMERIC MD GE 8 J2. We are interested in how people are getting along financially these days. Would you say that you (and your family living here) are BETTER off or WORSE off financially than you were a year ago? --------------------------------------------------------------------- 655 1. Better 281 3. Worse 343 5. The same [VOL] 1 8. DK 1 9. NA; RF ============================== VAR 980415 J2a/b.HOW MUCH BETTER/WORSE OFF- LAST YR COLUMNS 949 - 949 NUMERIC MD EQ 0, GE 8 J2a/b. IF R IS BETTER OFF FINANCIALLY THAN A YEAR AGO: / IF R IS WORSE OFF FINANCIALLY THAN A YEAR AGO: a. Is that MUCH better off or SOMEWHAT better off? b. Is that MUCH worse off or SOMEWHAT worse off? --------------------------------------------------------------------- Built from J2, J2a/b. 180 1. Much better 474 2. Somewhat better 343 3. Same (5 in F5) 189 4. Somewhat worse 91 5. Much worse 2 8. DK 9. NA 2 0. Inap, 8,9 in J2 ============================== VAR 980416 J3.R EXPECT BETTER/WORSE IN NEXT YR COLUMNS 950 - 950 NUMERIC MD GE 8 J3. Now looking ahead, do you think that a year from now you (and your family living here) will be BETTER off financially, WORSE off, or JUST ABOUT THE SAME as now? --------------------------------------------------------------------- 524 1. Better 80 3. Worse 658 5. Just about the same 19 8. DK 9. NA ============================== VAR 980417 J3a/b.HOW MUCH BETTER/WORSE OFF- NEXT YR COLUMNS 951 - 951 NUMERIC MD EQ 0, GE 8 J3a/b. IF R THINKS WILL BE BETTER OFF FINANCIALLY A YEAR FROM NOW: / IF R THINKS WILL BE WORSE OFF FINANCIALLY A YEAR FROM NOW: a. Is that MUCH better off or SOMEWHAT better off? b. Is that MUCH worse off or SOMEWHAT worse off? --------------------------------------------------------------------- Built from J3, J3a/b. 175 1. Much better 348 2. Somewhat better 658 3. Same (5 in F6) 62 4. Somewhat worse 16 5. Much worse 3 8. DK 9. NA 19 0. Inap, 8,9 in J3 ============================== VAR 980418 J4.U.S. ECON BETTER/WORSE IN LAST YEAR COLUMNS 952 - 952 NUMERIC MD GE 8 J4. Now thinking about the economy in the country as a whole, would you say that over the past year the nation's economy has GOTTEN BETTER, STAYED ABOUT THE SAME, or GOTTEN WORSE? --------------------------------------------------------------------- 597 1. Gotten better 476 3. Stayed about the same 188 5. Gotten worse 19 8. DK 1 9. NA; RF ============================== VAR 980419 J4a/b.HOW MUCH BTR/WORSE US ECON LAST YR COLUMNS 953 - 953 NUMERIC MD EQ 0, GE 8 J4a/b. IF R SAYS ECONOMY HAS GOTTEN BETTER: / IF R SAYS ECONOMY HAS GOTTEN WORSE: a. Would you say MUCH better or SOMEWHAT better? b. Would you say MUCH worse or SOMEWHAT worse? --------------------------------------------------------------------- Built from J4, J4a/b. 179 1. Much better 418 2. Somewhat better 476 3. Same (3 in H1) 155 4. Somewhat worse 33 5. Much worse 8. DK 9. NA 20 0. Inap, 8,9 in J4 ============================== VAR 980420 J5.US ECONOMY BETTER/WORSE IN NEXT YEAR COLUMNS 954 - 954 NUMERIC MD GE 8 J5. What about the next 12 months? Do you expect the economy to GET BETTER, GET WORSE or STAY ABOUT THE SAME? --------------------------------------------------------------------- 289 1. Get better 246 3. Get worse 708 5. Stay about the same 37 8. DK 1 9. NA; RF ============================== VAR 980421 J5a/b.HOW MUCH BTR/WORSE US ECON NEXT YR COLUMNS 955 - 955 NUMERIC MD EQ 0, GE 8 J5a/b. IF R SAYS ECONOMY WILL GET BETTER: / IF R SAYS ECONOMY WILL GET WORSE: a. Would you say MUCH better or SOMEWHAT better? b. Would you say MUCH worse or SOMEWHAT worse? --------------------------------------------------------------------- Built from J5, J5a/b. 82 1. Much better 206 2. Somewhat better 708 3. Same (5 in J5) 208 4. Somewhat worse 37 5. Much worse 2 8. DK 9. NA 38 0. Inap, 8,9 in J5 ============================== VAR 980422 J6.ECON BTR/WORSE SINCE CLINTON TOOK OFC COLUMNS 956 - 956 NUMERIC MD GE 8 J6. Would you say that since Clinton took office, the nation's economy has GOTTEN BETTER, STAYED ABOUT THE SAME, or GOTTEN WORSE? --------------------------------------------------------------------- 953 1. Gotten better 241 3. Stayed same 65 5. Gotten worse 19 8. DK 3 9. NA; RF ============================== VAR 980423 J6a/b.ECON HOW MCH BTR/WRS SINCE CLINTON COLUMNS 957 - 957 NUMERIC MD EQ 0, GE 8 J6a/b. IF R SAYS ECONOMY HAS GOTTEN BETTER SINCE CLINTON TOOK OFFICE/ IF R SAYS ECONOMY HAS GOTTEN WORSE SINCE CLINTON TOOK OFFICE: a. Would you say MUCH better or SOMEWHAT better? b. Would you say MUCH better or SOMEWHAT better? --------------------------------------------------------------------- Built from J6, J6a/b 431 1. Much better 521 2. Somewhat better 241 3. Same (5 in H2) 45 4. Somewhat worse 20 5. Much worse 1 8. DK 9. NA 22 0. Inap, 8,9 in J6 ============================== VAR 980424 J7.WHO MOST RESPONS FOR ECON CONDITION COLUMNS 958 - 958 NUMERIC MD GE 8 J7. Turn to page 4 in the booklet... People often hold different parts of the government or society responsible for economic conditions. Please look at the list on page 4 of your booklet and tell me who you feel is the most responsible for the economic conditions of the past few years, THE CONGRESS, THE PRESIDENT, WORKING PEOPLE, OR BUSINESS PEOPLE. --------------------------------------------------------------------- 342 1. Congress 241 2. The President 181 3. Working people 357 4. Business people 89 5. All of them [VOL] 10 6. None of them [VOL] 27 7. Other [SPECIFY] 31 8. DK 3 9. NA; RF ============================== VAR 980425 J8.IS R INVESTED IN STOCK MARKET COLUMNS 959 - 959 NUMERIC MD GE 8 J8. Do you personally or jointly with a spouse, have any MONEY INVESTED IN THE STOCK MARKET RIGHT NOW -- either in an individual stock or in a mutual fund? --------------------------------------------------------------------- 623 1. Yes 643 5. No 5 8. DK 10 9. NA; RF ============================== VAR 980426 J9.BETTER ONE PARTY OR SPLIT CONTROL COLUMNS 960 - 960 NUMERIC MD GE 8 J9. Do you think it is better when ONE PARTY CONTROLS both the presidency and Congress; better when CONTROL IS SPLIT between the Democrats and Republicans, or DOESN'T IT MATTER? --------------------------------------------------------------------- 248 1. One party control both 676 3. Control is split 317 5. Doesn't matter 39 8. DK 1 9. NA; RF ============================== VAR 980427 J10.R OPINION- 2-PARTY SYSTEM COLUMNS 961 - 961 NUMERIC MD GE 8 J10 . Looking at page 5 of the booklet: Here is a question about political parties. 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: 1. A CONTINUATION OF THE TWO-PARTY SYSTEM OF DEMOCRATS AND REPUBLICANS 2. ELECTIONS IN WHICH CANDIDATES RUN AS INDIVIDUALS WITHOUT PARTY LABELS 3. THE GROWTH OF ONE OR MORE PARTIES THAT COULD EFFECTIVELY CHALLENGE THE DEMOCRATS AND REPUBLICANS --------------------------------------------------------------------- 490 1. A continuation of the two party system 438 2. Candidates run as individuals without party labels 331 3. Parties that challenge the Democrats and Republicans 19 8. DK 3 9. NA; RF ============================== VAR 980428 J11.SOCIETY SHOULD SEE TO eqU OPPORTUN COLUMNS 962 - 962 NUMERIC MD GE 8 J11. Looking at page 6 of the booklet: I am going to read several statements. After each one, I would like you to tell me whether you AGREE STRONGLY with the statement, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY. The first statement is: If people were treated more equally in this country we would have many fewer problems. --------------------------------------------------------------------- 652 1. Agree strongly 404 2. Agree somewhat 83 3. Neither agree nor disagree 97 4. Disagree somewhat 40 5. Disagree strongly 3 8. DK 2 9. NA; RF ============================== VAR 980429 J12.TOO FAR PUSHING eqUAL RIGHTS COLUMNS 963 - 963 NUMERIC MD GE 8 J12. (Still on p.6) We have gone too far in pushing equal rights in this country. (Do you AGREE STRONGLY, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY with this statement?) --------------------------------------------------------------------- 217 1. Agree strongly 354 2. Agree somewhat 165 3. Neither agree nor disagree 286 4. Disagree somewhat 250 5. Disagree strongly 7 8. DK 2 9. NA; RF ============================== J13. Please look at page 7 of the booklet. I am going to read a list of words and phrases people may use to describe political figures. For each, tell me whether the word or phrase describes the candidate I name. ============================== VAR 980430 J13a.CLINTON TRAIT -MORAL COLUMNS 964 - 964 NUMERIC MD GE 8 J13a. (Looking at page 7 of the booklet.) (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (How about) MORAL? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Clinton traits J13a-J13e randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 44 1. Extremely well 165 2. Quite well 415 3. Not too well 626 4. Not well at all 23 8. DK 8 9. NA; RF ============================== VAR 980431 J13b.CLINTON TRAIT- REALLY CARES COLUMNS 965 - 965 NUMERIC MD GE 8 J13b. (Looking at page 7 of the booklet.) (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (How about) REALLY CARES ABOUT PEOPLE LIKE YOU? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Clinton traits J13a-J13e randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 202 1. Extremely well 483 2. Quite well 318 3. Not too well 253 4. Not well at all 23 8. DK 2 9. NA; RF ============================== VAR 980432 J13c.CLINTON TRAIT- KNOWLEDgeABLE COLUMNS 966 - 966 NUMERIC MD GE 8 J13c. (Looking at page 7 of the booklet.) (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (How about) KNOWLEDGEABLE? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Clinton traits J13a-J13e randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 480 1. Extremely well 647 2. Quite well 102 3. Not too well 37 4. Not well at all 13 8. DK 2 9. NA; RF ============================== VAR 980433 J13d.CLINTON TRAIT- HONEST COLUMNS 967 - 967 NUMERIC MD GE 8 J13d. (Looking at page 7 of the booklet.) (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (How about) HONEST? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Clinton traits J13a-J13e randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 52 1. Extremely well 197 2. Quite well 428 3. Not too well 580 4. Not well at all 18 8. DK 6 9. NA; RF ============================== VAR 980434 J13e.CLINTON TRAIT- STRONG LEADER COLUMNS 968 - 968 NUMERIC MD GE 8 J13e. (Looking at page 7 of the booklet.) (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (How about) PROVIDES STRONG LEADERSHIP? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Clinton traits J13a-J13e randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 260 1. Extremely well 517 2. Quite well 315 3. Not too well 177 4. Not well at all 10 8. DK 2 9. NA; RF ============================== VAR 980435 J14a.GORE TRAIT- MORAL COLUMNS 969 - 969 NUMERIC MD GE 8 J14a. (Looking at page 7 of the booklet.) (Think about AL GORE. In your opinion does the phrase "(he [is]) ......." describe Al Gore EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (How about) MORAL? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Gore. (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Gore traits J14a-J14e randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 214 1. Extremely well 707 2. Quite well 136 3. Not too well 37 4. Not well at all 182 8. DK 5 9. NA; RF ============================== VAR 980436 J14b.GORE TRAIT- REALLY CARES COLUMNS 970 - 970 NUMERIC MD GE 8 J14b. (Looking at page 7 of the booklet.) (Think about AL GORE. In your opinion does the phrase "(he [is]) ......." describe Al Gore EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (How about) REALLY CARES ABOUT PEOPLE LIKE YOU? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Gore. (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Gore traits J14a-J14e randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 124 1. Extremely well 532 2. Quite well 357 3. Not too well 111 4. Not well at all 153 8. DK 4 9. NA; RF ============================== VAR 980437 J14c.GORE TRAIT- KNOWLEDgeABLE COLUMNS 971 - 971 NUMERIC MD GE 8 J14c. (Looking at page 7 of the booklet.) (Think about AL GORE. In your opinion does the phrase "(he [is]) ......." describe Al Gore EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (How about) KNOWLEDGEABLE? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Gore. (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Gore traits J14a-J14e randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 221 1. Extremely well 695 2. Quite well 205 3. Not too well 36 4. Not well at all 120 8. DK 4 9. NA; RF ============================== VAR 980438 J14d.GORE TRAIT- HONEST COLUMNS 972 - 972 NUMERIC MD GE 8 J14d. (Looking at page 7 of the booklet.) (Think about AL GORE. In your opinion does the phrase "(he [is]) ......." describe Al Gore EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (How about) HONEST? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Gore. (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Gore traits J14a-J14e randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 187 1. Extremely well 668 2. Quite well 201 3. Not too well 67 4. Not well at all 154 8. DK 4 9. NA; RF ============================== VAR 980439 J14e.GORE TRAIT- STRONG LEADER COLUMNS 973 - 973 NUMERIC MD GE 8 J14e. (Looking at page 7 of the booklet.) (Think about AL GORE. In your opinion does the phrase "(he [is]) ......." describe Al Gore EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (How about) PROVIDES STRONG LEADERSHIP? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Gore. (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Gore traits J14a-J14e randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 97 1. Extremely well 455 2. Quite well 453 3. Not too well 137 4. Not well at all 135 8. DK 4 9. NA; RF ============================== VAR 980440 J15a.CONGRSS TRAIT- TOO LIB/CONSRV (1) COLUMNS 974 - 974 NUMERIC MD GE 8 J15a. (Now, using page 7 of the booklet.) (Think about) the U.S. CONGRESS. (In your opinion does the phrase "(he [is]) ......." describe U.S. Congress EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (What about) TOO LIBERAL/TOO CONSERVATIVE? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Congress. For J15a, "Liberal" was administered to a random half-sample of respondents, and "Conservative" to the other half; the alternative is administered in the next question if R's response to this question is 'Not too well' or 'Not well at all.' (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Congressional traits J15b-J15d randomized (J15a/J15a1 always 1st). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 77 1. Extremely well 403 2. Quite well 552 3. Not too well 171 4. Not well at all 72 8. DK 6 9. NA; RF ============================== VAR 980441 J15a1.CONGRSS TRAIT- TOO LIB/CONSRV (2) COLUMNS 975 - 975 NUMERIC MD EQ 0, GE 8 J15a1. IF 'LIBERAL' DESCRIBES CONGRESS NOT TOO WELL OR NOT WELL AT ALL / IF 'CONSERVATIVE' DESCRIBES CONGRESS NOT TOO WELL OR NOT WELL AT ALL: (Now, using page 7 of the booklet.) (What about) TOO LIBERAL/TOO CONSERVATIVE? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. If R indicated that the phrase administered in the previous question did not describe Congress well (i.e. if R responded 'Not too well' or 'Not well at all' in the previous question), then this question was asked to administer the alternative phrase. 32 1. Extremely well 214 2. Quite well 374 3. Not too well 95 4. Not well at all 7 8. DK 1 9. NA; RF 558 0. Inap, 1,2,8,9 in J15a ============================== VAR 980442 J15b.CONGRESS TRAIT- DOESNT ACCOMPLISH COLUMNS 976 - 976 NUMERIC MD GE 8 J15b. (Now, using page 7 of the booklet.) (Think about the U.S.CONGRESS. In your opinion does THE phrase "(he [is]) ......." describe U.S. Congress EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (What about) DOESN'T GET MUCH ACCOMPLISHED? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Congress. (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Congressional traits J15b-J15d randomized (J15/J15a1 always 1st). 212 1. Extremely well 504 2. Quite well 416 3. Not too well 96 4. Not well at all 50 8. DK 3 9. NA; RF ============================== VAR 980443 J15c.CONGRESS TRAIT- TOO PARTISAN COLUMNS 977 - 977 NUMERIC MD GE 8 J15c. (Now, using page 7 of the booklet.) (Think about the U.S.CONGRESS. In your opinion does THE phrase "(he [is]) ......." describe U.S. Congress EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (What about) TOO INVOLVED IN PARTISAN POLITICS? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Congress. (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Congressional traits J15b-J15d randomized (J15/J15a1 always 1st). 457 1. Extremely well 478 2. Quite well 205 3. Not too well 55 4. Not well at all 82 8. DK 4 9. NA; RF ============================== VAR 980444 J15d.CONGRESS TRIAT- CARE ORDIN THINK COLUMNS 978 - 978 NUMERIC MD GE 8 J15d. (Now, using page 7 of the booklet.) (Think about the U.S. CONGRESS. In your opinion does THE phrase "(he [is]) ......." describe U.S. Congress EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) (What about) DOESN'T CARE WHAT ORDINARY AMERICANS THINK? --------------------------------------------------------------------- [DO NOT PROBE "DK"] See J13 for full text. Beginning 2 sentences used only if trait is first trait applied to Congress. (1) Order of Executive level traits (J13,J14) and Congressional level traits (J15) randomized; in all cases, Executive level traits are administered in the order: Clinton traits, Gore traits. (2) Order of Congressional traits J15b-J15d randomized (J15/J15a1 always 1st). 191 1. Extremely well 468 2. Quite well 445 3. Not too well 142 4. Not well at all 33 8. DK 2 9. NA; RF ============================== VAR 980445 K1.CREDIT FOR BUDgeT SURPLUS COLUMNS 979 - 979 NUMERIC MD GE 8 K1. Who do you think deserves more of the credit for the federal budget surplus, THE CLINTON ADMINISTRATION or THE REPUBLICAN CONGRESS? --------------------------------------------------------------------- 614 1. Clinton administration 401 3. Both [VOL] 103 5. Neither 78 7. Republican Congress 78 8. DK 7 9. NA; RF ============================== VAR 980446 K2.ETHNIC GROUPS- DISTINCT /MELT POT COLUMNS 980 - 980 NUMERIC MD GE 8 K2. Turning to some other types of issues facing the country: Please look at page 8 in the booklet. Some people say that it is better for America if different racial and ethnic groups maintain their distinct cultures. Others say that it is better if groups change so that they blend into the larger society as in the idea of a melting pot. Which of these positions comes closer to your own opinion: RACIAL AND ETHNIC GROUPS SHOULD MAINTAIN THEIR DISTINCT CULTURES, or GROUPS SHOULD CHANGE SO THAT THEY BLEND INTO THE LARGER SOCIETY? --------------------------------------------------------------------- 485 1. Groups should maintain their distinct cultures 634 2. Both, depends [VOL] 112 3. Groups should change and blend into the larger society 35 4. Neither [VOL] 9 8. DK 6 9. NA; RF ============================== VAR 980447 K3.FAVOR/OPPOSE ENGLISH OFFIC LANGUAge COLUMNS 981 - 981 NUMERIC MD GE 8 K3. Do you FAVOR a law making English the official language of the United States, meaning government business would be conducted in English only, or do you OPPOSE such a law? --------------------------------------------------------------------- 853 1. Favor 70 3. Neither favor nor oppose 353 5. Oppose 4 8. DK 1 9. NA; RF ============================== K4. Please look at page 9 of the booklet. Recently there has been a lot of talk about women's rights. Some people feel that women should have an equal role with men in running business, industry, and government. (Suppose these people are at one end of a scale, at point 1.) Others feel that a woman's place is in the home. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between, at points 2,3,4,5 or 6. ============================== VAR 980448 K4a.R PLACEMENT eqUAL ROLE SCALE COLUMNS 982 - 982 NUMERIC MD EQ 0, GE 8 K4a. Where would you place YOURSELF on this scale, or haven't you thought much about this? SELF-PLACEMENT - EQUAL ROLE FOR WOMEN --------------------------------------------------------------------- See K4 for full text. 690 1. Women and men should have equal roles 174 2. 87 3. 161 4. 48 5. 24 6. 38 7. A woman's place is in the home 4 8. DK 2 9. NA; RF 53 0. Haven't thought much about it ============================== VAR 980449 K4b.CLINTON PLACEMENT eqUAL ROLE SCALE COLUMNS 983 - 983 NUMERIC MD GE 8 K4b. (Still looking at page 9) (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT - EQUAL ROLE FOR WOMEN --------------------------------------------------------------------- See K4 for full text. 391 1. Women and men should have equal roles 281 2. 181 3. 166 4. 57 5. 41 6. 57 7. A woman's place is in the home 105 8. DK 2 9. NA; RF ============================== VAR 980450 K4c.GORE PLACEMENT eqUAL ROLE SCALE COLUMNS 984 - 984 NUMERIC MD GE 8 K4c. (Still looking at page 9) (Where would you place) AL GORE (on this scale)? GORE PLACEMENT - EQUAL ROLE FOR WOMEN --------------------------------------------------------------------- See K4 for full text. 268 1. Women and men should have equal roles 233 2. 197 3. 175 4. 63 5. 32 6. 25 7. A woman's place is in the home 288 8. DK 9. NA ============================== VAR 980451 K4d.DEM HSE CAND PLACEMT eqU ROLE SCALE COLUMNS 985 - 985 NUMERIC MD EQ 0, GE 8 K4d. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: (Still looking at page 9) (Where would you place) (Name #31,33,35 (on this scale)? DEM HOUSE CANDIDATE PLACEMENT ON WOMEN'S ROLE SCALE --------------------------------------------------------------------- [DON'T PROBE DK] See K4 for full text. Order of House candidates K4d, K4e was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 184 1. Women and men should have equal roles 82 2. 66 3. 75 4. 26 5. 9 6. 10 7. A woman's place is in the home 254 8. DK 4 9. NA 571 0. Inap, no Dem. House candidate (type race 24 in Cand.1); Washington DC; R did not recognize candidate name in thermometer B4b1 (997) ============================== VAR 980452 K4e.REP HSE CAND PLACEMT eqU ROLE SCALE COLUMNS 986 - 986 NUMERIC MD EQ 0, GE 8 K4e. IF REPUBLICAN CANDIDATE IN HOUSE RACE: (Still looking at page 9) (Where would you place) (Name #32,34,36 (on this scale)? REP HOUSE CANDIDATE PLACEMENT ON WOMEN'S ROLE SCALE --------------------------------------------------------------------- [DON'T PROBE DK] See K4 for full text. Order of House candidates K4d, K4e was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 119 1. Women and men should have equal roles 72 2. 95 3. 120 4. 81 5. 28 6. 26 7. A woman's place is in the home 300 8. DK 3 9. NA 437 0. Inap, no Rep. House candidate (type race 14 in Cand.1); Washington DC; R did not recognize candidate name in thermometer B4b2 (997) ============================== VAR 980453 K4f.DEM PARTY PLACEMENT eqU ROLE SCALE COLUMNS 987 - 987 NUMERIC MD GE 8 K4f. (Still looking at page 9) (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON WOMEN'S ROLE SCALE --------------------------------------------------------------------- [DON'T PROBE DK] See K4 for full text. Order of parties K4f, K4g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 258 1. Women and men should have equal roles 268 2. 291 3. 203 4. 63 5. 17 6. 15 7. A woman's place is in the home 164 8. DK 2 9. NA; RF ============================== VAR 980454 K4g.REP PARTY PLACEMENT eqU ROLE SCALE COLUMNS 988 - 988 NUMERIC MD GE 8 K4g. (Still looking at page 9) (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON WOMEN'S ROLE SCALE --------------------------------------------------------------------- [DON'T PROBE DK] See K4 for full text. Order of parties K4f, K4g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 120 1. 132 2. 190 3. 283 4. 197 5. 110 6. 60 7. A woman's place is in the home 187 8. DK 2 9. NA; RF ============================== VAR 980455 K5.R OPINION- SCHOOL PRAYER COLUMNS 989 - 989 NUMERIC MD GE 8 K5. Turning to page 10 of the booklet: Which of the following views comes closest to your opinion on the issue of school prayer? Just give me the number of your choice. 1. BY LAW, PRAYERS SHOULD NOT BE ALLOWED IN PUBLIC SCHOOLS. 2. THE LAW SHOULD ALLOW PUBLIC SCHOOLS TO SCHEDULE TIME WHEN CHILDREN CAN PRAY SILENTLY IF THEY WANT TO. 3. THE LAW SHOULD ALLOW PUBLIC SCHOOLS TO SCHEDULE TIME WHEN CHILDREN AS A GROUP, CAN SAY A GENERAL PRAYER NOT TIED TO A PARTICULAR RELIGIOUS FAITH. 4. BY LAW, PUBLIC SCHOOLS SHOULD SCHEDULE A TIME WHEN ALL CHILDREN WOULD SAY A CHOSEN CHRISTIAN PRAYER. 7 OTHER - specify [VOL.] --------------------------------------------------------------------- 215 1. Not allowed in public schools 633 2. Allow children to pray silently 303 3. Schedule time for general prayer 91 4. Christian prayer required 24 7. Other (specify) [VOL] 12 8. DK 3 9. NA; RF ============================== VAR 980456 K5a.STRENGTH- R SCHOOL PRAYER OPINION COLUMNS 990 - 990 NUMERIC MD EQ 0, GE 8 K5a. IF R HAS AN OPINION ABOUT SCHOOL PRAYER: Do you favor that choice STRONGLY or NOT STRONGLY? --------------------------------------------------------------------- 1018 1. Favor strongly 247 5. Favor not strongly 1 8. DK 9. NA 15 0. Inap, 8,9 in K5 ................................................................ K6. Please look at page 11 of the booklet. Some people feel the government in Washington should see to it that every person has a job and a good standard of living (Suppose these people are at one end of a scale, at point 1.) Others think the government should just let each person get ahead on their own. (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. ============================== VAR 980457 K6a.R PLACMENT- GUAR JOB/STD LIV SCALE COLUMNS 991 - 991 NUMERIC MD EQ 0, GE 8 K6a. Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE --------------------------------------------------------------------- See K6 for full text. 152 1. Government should see to a job and good standard of living 114 2. 137 3. 253 4. 176 5. 140 6. 150 7. Government should let each person get ahead on own 6 8. DK 9. NA 153 0. Haven't though much about it ============================== VAR 980458 K6b.CLINTON- GUAR JOB/STD LIV SCALE COLUMNS 992 - 992 NUMERIC MD GE 8 K6b. (Still looking at page 11 of the booklet) (Where would you place) BILL CLINTON on this scale? CLINTON PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE --------------------------------------------------------------------- [DO NOT PROBE "DK"] See K6 for full text. 190 1. Government should see to a job and good standard of living 224 2. 303 3. 219 4. 103 5. 58 6. 51 7. Government should let each person get ahead on own 132 8. DK 1 9. NA; RF ============================== VAR 980459 K6c.GORE- GUAR JOB/STD LIV SCALE COLUMNS 993 - 993 NUMERIC MD GE 8 K6c. (Still looking at page 11 of the booklet) (Where would you place) AL GORE on this scale? AL GORE ON GUARANTEED JOB/STANDARD OF LIVING SCALE --------------------------------------------------------------------- [DO NOT PROBE "DK"] See K6 for full text. 132 1. Government should see to a job and good standard of living 191 2. 264 3. 239 4. 91 5. 36 6. 41 7. Government should let each person get ahead on own 286 8. DK 1 9. NA; RF ============================== VAR 980460 K6d.DEM HSE CAND- GUAR JOB/STD LIV SCALE COLUMNS 994 - 994 NUMERIC MD EQ 0, GE 8 K6d. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: (Still looking at page 11 of the booklet) (Where would you place) (Name #31, 33, OR 35) on this scale? DEM HOUSE CANDIDATE ON GUARANTEED JOB/STANDARD OF LIVING SCALE --------------------------------------------------------------------- [DO NOT PROBE "DK"] See K6 for full text. Order of House candidates K6d, K6e was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 59 1. Government should see to a job and good standard of living 84 2. 104 3. 127 4. 39 5. 22 6. 16 7. Government should let each person get ahead on own 255 8. DK 4 9. NA 571 0. Inap, no Dem. House candidate (type race 24 in Cand.1); Washington DC; R did not recognize candidate name in thermometer B4b1 (997) ============================== VAR 980461 K6e.REP HSE CAND- GUAR JOB/STD LIV SCALE COLUMNS 995 - 995 NUMERIC MD EQ 0, GE 8 K6e. IF REPUBLICAN CANDIDATE IN HOUSE RACE: (Still looking at page 11 of the booklet) (Where would you place) (Name #32, 43, OR 36) on this scale? REP HOUSE CANDIDATE ON GUARANTEED JOB/STANDARD OF LIVING SCALE --------------------------------------------------------------------- [DO NOT PROBE "DK"] See K6 for full text. Order of House candidates K6d, K6e was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 31 1. Government should see to a job and good standard of living 26 2. 76 3. 154 4. 133 5. 82 6. 45 7. Government should let each person get ahead on own 293 8. DK 4 9. NA; RF 437 0. Inap, no Rep. House candidate (type race 14 in Cand.1); Washington DC; R did not recognize candidate name in thermometer B4b2 (997) ============================== K7. Please look at page 12 of the booklet. Some people feel that the government in Washington should make every effort to improve the social and economic position of blacks. (Suppose these people are at one end of a scale, at point 1.) Others feel that the government should not make any special effort to help blacks 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. ============================== VAR 980462 K7a.R PLACEMENT- AID TO BLACKS SCALE COLUMNS 996 - 996 NUMERIC MD EQ 0, GE 8 K7a. Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON AID TO BLACKS SCALE --------------------------------------------------------------------- See K7 for full text. 109 1. Government should help blacks 84 2. 132 3. 315 4. 178 5. 154 6. 183 7. Blacks should help themselves 13 8. DK 7 9. NA; RF 106 0. Haven't thought much about it ............................................................. K8. Please look at page 13 of the booklet. Some people think the government should provide fewer services even in areas such as health and education in order to reduce spending. Suppose these people are at one end of a scale, at point 1. Other people feel it is important for the government to provide many more services even if it means an increase in spending. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between, at points 2,3,4,5 or 6. ============================== VAR 980463 K8a.R PLACEMENT- SERVICES/SPEND SCALE COLUMNS 997 - 997 NUMERIC MD EQ 0, GE 8 K8a. Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON SERVICES/SPENDING SCALE. --------------------------------------------------------------------- See K8 for full text. 79 1. Government should provide many fewer services; reduce spending a lot 107 2. 172 3. 330 4. 196 5. 160 6. 133 7. Government should provide many more services; increase 10 8. DK 9. NA 94 0. Haven't thought much about it ============================== VAR 980464 K8b.CLINTON- SERVICES/SPEND SCALE COLUMNS 998 - 998 NUMERIC MD GE 8 K8b. (Still looking at page 13) (Where would you place) BILL CLINTON on this scale? CLINTON PLACEMENT ON SERVICES/SPENDING SCALE --------------------------------------------------------------------- [DO NOT PROBE "DK"] See K8 for full text. 49 1. Government should provide many fewer services; reduce spending a lot 77 2. 116 3. 266 4. 263 5. 233 6. 152 7. Government should provide many more services; increase spending a lot 124 8. DK 1 9. NA; RF ============================== VAR 980465 K8c.GORE- SERVICES/SPEND SCALE COLUMNS 999 - 999 NUMERIC MD GE 8 K8c. (Still looking at page 13) (Where would you place) AL GORE] (on this scale)? AL GORE CANDIDATE PLACEMENT ON SERVICES/SPENDING SCALE --------------------------------------------------------------------- [DO NOT PROBE "DK"] See K8 for full text. 27 1. Government should provide many fewer services; reduce spending a lot 64 2. 107 3. 266 4. 264 5. 179 6. 113 7. Government should provide many more services; increase spending a lot 261 8. DK 9. NA ============================== VAR 980466 K8d.DEM HSE CAND- SERVICES/SPEND SCALE COLUMNS 1000 - 1000 NUMERIC MD EQ 0, GE 8 K8d. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: (Still looking at page 13) (Where would you place) [NAME #31,#33,#35] (on this scale)? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON SERVICES/SPENDING SCALE --------------------------------------------------------------------- [DO NOT PROBE "DK"] See K8 for full text. Order of House candidates K8d, K8e was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 16 1. Government should provide many fewer services; reduce spending a lot 27 2. 49 3. 134 4. 116 5. 75 6. 46 7. Government should provide many more services; increase spending a lot 243 8. DK 4 9. NA 571 0. Inap, no Dem. House candidate (type race 24 in Cand.1); Washington DC; R did not recognize candidate name in thermometer B4b1 (997) ============================== VAR 980467 K8e.REP HSE CAND- SERVICES/SPEND SCALE COLUMNS 1001 - 1001 NUMERIC MD EQ 0, GE 8 K8e. IF REPUBLICAN CANDIDATE IN HOUSE RACE: (Still looking at page 13) (Where would you place) [NAME #32,#34,#36] (on this scale)? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON SERVICES/SPENDING SCALE --------------------------------------------------------------------- [DO NOT PROBE "DK"] See K8 for full text. Order of House candidates K8d, K8e was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 39 1. Government should provide many fewer services; reduce spending a lot 88 2. 132 3. 172 4. 85 5. 29 6. 23 7. Government should provide many more services; increase spending a lot 273 8. DK 3 9. NA 437 0. Inap, no Rep. House candidate (type race 14); Washington DC; R did not recognize candidate name in thermometer B4b2 (997) ============================== VAR 980468 K8f.DEM PARTY- SERVICES/SPEND SCALE COLUMNS 1002 - 1002 NUMERIC MD GE 8 K8f. (Still looking at page 13) (Where would you place) THE DEMOCRATIC PARTY on this scale? DEMOCRATIC PARTY PLACEMENT ON SERVICES/SPENDING SCALE. --------------------------------------------------------------------- [DO NOT PROBE "DK"] See K8 for full text. Order of major parties K8f, K8g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 29 1. Government should provide many fewer services; reduce spending a lot 55 2. 107 3. 218 4. 299 5. 257 6. 157 7. Government should provide many more services; increase 157 8. DK 2 9. NA; RF ============================== VAR 980469 K8g.REP PARTY- SERVICES/SPEND SCALE COLUMNS 1003 - 1003 NUMERIC MD GE 8 K8g. (Still looking at page 13) (Where would you place) THE REPUBLICAN PARTY on this scale? REPUBLICAN PARTY PLACEMENT ON SERVICES/SPENDING SCALE. --------------------------------------------------------------------- [DO NOT PROBE "DK"] See K8 for full text. Order of major parties K8f, K8g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 141 1. Government should provide many fewer services; reduce spending a lot 246 2. 255 3. 237 4. 125 5. 58 6. 44 7. Government should provide many more services; increase 167 8. DK 8 9. NA; RF ============================== VAR 980470 K9.APPROVE/DISAPP AFFIRMATIVE ACTION COLUMNS 1004 - 1004 NUMERIC MD GE 8 K9. Now, not looking at the booklet... Some people say that because of past discrimination, blacks should be given preference in hiring and promotion. Others say that such preference in hiring and promotion of blacks is wrong because it gives blacks advantages they haven't earned. What about your opinion -- are you FOR or AGAINST preferential hiring and promotion of blacks? --------------------------------------------------------------------- 217 1. For preferential hiring and promotion of blacks 981 5. Against preferential hiring and promotion of blacks 41 7. Other (specify) [VOL] 35 8. DK 7 9. NA; RF ============================== VAR 980471 K9a/b.STRENGTH APPR/DISAPP AFFIRM ACTION COLUMNS 1005 - 1005 NUMERIC MD EQ 0, GE 8 K9a/b. IF R FAVORS PREFERENTIAL HIRING AND PROMOTION FOR BLACKS / IF R OPPOSES PREFERENTIAL HIRING AND PROMOTION FOR BLACKS: a. Do you favor preference in hiring and promotion STRONGLY or NOT STRONGLY? b. Do you oppose preference in hiring and promotion STRONGLY or NOT STRONGLY? --------------------------------------------------------------------- Built from J3, J3a/b. 139 1. Favor strongly 74 2. Favor not strongly 253 4. Oppose not strongly 688 5. Oppose strongly 4 8. DK 40 9. NA; RF 83 0. Inap, 7,8,9 in K9 ============================== VAR 980472 K10.RELIG GROUPS STAY IN/OUT POLITICS COLUMNS 1006 - 1006 NUMERIC MD GE 8 K10. Religion has had an increasing impact on the political views of many Americans. Which of the following two statements comes closer to your view: "ORGANIZED RELIGIOUS GROUPS OF ALL KINDS SHOULD STAY OUT OF POLITICS" or "IT IS IMPORTANT FOR ORGANIZED RELIGIOUS GROUPS TO STAND UP FOR THEIR BELIEFS IN POLITICS." --------------------------------------------------------------------- [IWER: PROBE ONCE "If you had to choose." THEN RQ] 590 1. Organized religious groups stay out of politics 647 5. Religious groups stand up for beliefs in politics 32 8. DK 12 9. NA; RF ============================== VAR 980473 K11.RELIG DIVIDES/ RELIGIOUS TAKE ACTION COLUMNS 1007 - 1007 NUMERIC MD GE 8 K11. Which comes closer to your view "THE INFLUENCE OF RELIGION ON AMERICAN POLITICS THREATENS TO DIVIDE US AS A COUNTRY" or "RELIGIOUS PEOPLE MUST TAKE POLITICAL ACTION IN ORDER TO PROTECT THEIR RIGHTS" --------------------------------------------------------------------- [IWER: PROBE ONCE "If you had to choose." THEN RQ] See introductory text K10. 500 1. Influence of religion threatens to divide us 680 5. Religious people must take action 81 8. DK 20 9. NA; RF ============================== VAR 980474 K12.HOW MUCH R TRUSTS NEWS MEDIA COLUMNS 1008 - 1008 NUMERIC MD GE 8 K12. How much of the time do you think you can trust the media to report the news fairly? JUST ABOUT ALWAYS, MOST OF THE TIME, ONLY SOME OF THE TIME, or ALMOST NEVER? --------------------------------------------------------------------- 63 1. Just about always 406 2. Most of the time 641 3. Only some of the time 138 4. Almost never 22 5. None of the time [VOL] 10 8. DK 1 9. NA; RF ................................................................ K13. Now we have a set of questions concerning various public figures. We want to see how much information about them gets out to the public from television, newspapers and the like. ============================== VAR 980475 K13a.GORE OFFICE - KNOWLEDge COLUMNS 1009 - 1009 NUMERIC MD GE 8 K13a. The first name is AL GORE. What job or political office does he now hold? AL GORE - R'S KNOWLEDGE OF POLITICAL OFFICE --------------------------------------------------------------------- [PAUSE AFTER EACH NAME. RECORD EXACTLY WHAT IS SAID BUT DO NOT PROBE DON'T KNOW.] 1133 1. Correctly identifies Gore as Vice-President 16 5. Identification is incomplete or wrong 126 8. DK; R makes no attempt to guess 6 9. NA ============================== VAR 980476 K13b.REHNQUIST OFFICE - KNOWLEDge COLUMNS 1010 - 1010 NUMERIC MD GE 8 K13b. WILLIAM REHNQUIST? (What job or political office does he now hold?) WILLIAM REHNQUIST - R'S KNOWLEDGE OF POLITICAL OFFICE --------------------------------------------------------------------- [PAUSE AFTER EACH NAME. RECORD EXACTLY WHAT IS SAID BUT DO NOT PROBE DON'T KNOW.] 136 1. Correctly identifies Rehnquist as Chief Justice of the Supreme Court 294 5. Identification is incomplete or wrong 845 8. DK; R makes no attempt to guess 6 9. NA ============================== VAR 980477 K13c.YELTSIN OFFICE - KNOWLEDge COLUMNS 1011 - 1011 NUMERIC MD GE 8 K13c. BORIS YELTSIN? (What job or political office does he now hold?) BORIS YELTSIN - R'S KNOWLEDGE OF POLITICAL OFFICE --------------------------------------------------------------------- [PAUSE AFTER EACH NAME. RECORD EXACTLY WHAT IS SAID BUT DO NOT PROBE DON'T KNOW.] 637 1. Correctly identifies Yeltsin as President of Russia; leader/top man/head of Russia 303 5. Identification is incomplete or wrong 338 8. DK; R makes no attempt to guess 3 9. NA ============================== VAR 980478 K13d.GINGRICH OFFICE - KNOWLEDge COLUMNS 1012 - 1012 NUMERIC MD GE 8 K13d. NEWT GINGRICH? (What job or political office does he now hold?) NEWT GINGRICH - R'S KNOWLEDGE OF POLITICAL OFFICE --------------------------------------------------------------------- [PAUSE AFTER EACH NAME. RECORD EXACTLY WHAT IS SAID BUT DO NOT PROBE DON'T KNOW.] Newt Gingrich left the office of Speaker of the House during the field period. For some respondents, this fact was the substance of their response and, unfortunately, in some cases interviewers did not probe further to see if R knew the office from which Gingrich had resigned; these cases have been coded 3. 767 1. Correctly identifies Gingrich as Speaker of the House of Representatives 73 3. 'Out of office' 176 5. Identification is wrong or incomplete 263 8. DK; R makes no attempt to guess 2 9. NA ============================== VAR 980479 K14.WHCH PARTY HAD HSE MAJOR BEF ELECT COLUMNS 1013 - 1013 NUMERIC MD GE 8 K14. Do you happen to know which party had the most members IN THE HOUSE OF REPRESENTATIVES in Washington before the election (this/last) month? (IF NECESSARY: "Which one?") --------------------------------------------------------------------- [DO NOT PROBE DK] 125 1. The Democrats 863 5. The Republicans 293 8. DK 9. NA ============================== VAR 980480 K15.WHICH PARTY HAD SEN MAJOR BEF ELECT COLUMNS 1014 - 1014 NUMERIC MD GE 8 K15. Do you happen to know which party had the most members IN THE U.S. SENATE before the election (this/last) month? (IF NECESSARY: "Which one?") --------------------------------------------------------------------- [DO NOT PROBE DK] 130 1. The Democrats 713 5. The Republicans 438 8. DK 9. NA ============================== VAR 980481 K16.OFFICIALS SHD HAVE HIGHER MORAL STDS COLUMNS 1015 - 1015 NUMERIC MD GE 8 K16. Do you think people who run for high public office should display HIGHER MORAL STANDARDS in their personal life than does the average citizen? --------------------------------------------------------------------- 836 1. Yes 412 5. No 28 8. DK 5 9. NA; RF ============================== VAR 980482 K17.R FAVOR/OPPOSE SCHL VOUCHER SYSTEM COLUMNS 1016 - 1016 NUMERIC MD GE 8 K17. Do you FAVOR or OPPOSE a school voucher program that would allow parents ot use tax funds to send their children to the school of their choice, even if it were a private school? --------------------------------------------------------------------- 593 1. Favor 610 5. Oppose 7. Other (specify) [VOL] 75 8. DK 3 9. NA; RF ============================== VAR 980483 K17a/b.HOW MUCH FAVOR/OPP VOUCHER SYSTEM COLUMNS 1017 - 1017 NUMERIC MD GE 8 K17a/b. IF R FAVORS SCHOOL VOUCHER PROGRAM / IF R OPPOSES SCHOOL VOUCHER PROGRAM: a. Do you STRONGLY favor or NOT STRONGLY favor such a program?/ b. Do you STRONGLY oppose or NOT STRONGLY oppose such a program? --------------------------------------------------------------------- 414 1. Favor Strongly 178 2. Favor Not Strongly 217 4. Oppose Not Strongly 391 5. Oppose Strongly 3 8. DK 9. NA 78 0. Inap, 8,9 in K17 ============================== VAR 980484 M1.U.S. WORLD POSITION WEAKER/STRONgeR COLUMNS 1018 - 1018 NUMERIC MD GE 8 M1. Turning to some other types of issues facing the country: 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? --------------------------------------------------------------------- 329 1. Weaker 636 3. Stayed about the same 295 5. Stronger 21 8. DK 9. NA ============================== VAR 980485 M2.HOW WILLING- MILITARY FORCE COLUMNS 1019 - 1019 NUMERIC MD GE 8 M2. Please turn to page 14 of the booklet. In the future, how willing should the United States be to use military force to solve international problems -- EXTREMELY WILLING, VERY WILLING, SOMEWHAT WILLING, NOT VERY WILLING, or NEVER WILLING? --------------------------------------------------------------------- 140 1. Extremely willing 273 2. Very willing 638 3. Somewhat willing 185 4. Not very willing 32 5. Never willing 12 8. DK 1 9. NA; RF ============================== VAR 980486 M3.HOW WILLING- HUMANITARIAN AID COLUMNS 1020 - 1020 NUMERIC MD GE 8 M3. (Still looking at page 14 of the booklet.) In the future, how willing should the U.S. be to give humanitarian aid like food and medicine to foreign countries even if they don't stand for the same things we do (EXTREMELY WILLING, VERY WILLING, SOMEWHAT WILLING, NOT VERY WILLING, or NEVER WILLING)? --------------------------------------------------------------------- 259 1. Extremely willing 443 2. Very willing 415 3. Somewhat willing 132 4. Not very willing 25 5. Never willing 7 8. DK 9. NA ============================== VAR 980487 M4.HOW WILLING- AID TO WORLD ECON CRISES COLUMNS 1021 - 1021 NUMERIC MD GE 8 M4. (Still looking at page 14 in the booklet) In the future, how willing should the U.S. be to give financial assistance to countries in economic crisis? (EXTREMELY WILLING, VERY WILLING, SOMEWHAT WILLING, NOT VERY WILLING, OR NEVER WILLING)? --------------------------------------------------------------------- 80 1. Extremely willing 264 2. Very willing 686 3. Somewhat willing 204 4. Not very willing 34 5. Never willing 13 8. DK 9. NA ============================== VAR 980488 M5.US BETTER OFF TO STAY AT HOME COLUMNS 1022 - 1022 NUMERIC MD GE 8 M5. Not looking at the booklet... Do you AGREE or DISAGREE with this statement: 'This country would be better off if we just stayed home and did not concern ourselves with problems in other parts of the world?' --------------------------------------------------------------------- 229 1. Agree 1033 5. Disagree 15 8. DK 4 9. NA; RF ============================== VAR 980489 M6.INCREASE/DECREASE IMMIGRATION COLUMNS 1023 - 1023 NUMERIC MD GE 8 M6. Do you think the number of immigrants from foreign countries who are permitted to come to the United States to live should be INCREASED A LOT, INCREASED A LITTLE, LEFT THE SAME as it is now, DECREASED A LITTLE, or DECREASED A LOT? --------------------------------------------------------------------- 34 1. Increased a lot 101 2. Increased a little 496 3. Left the same as it is now 361 4. Decreased a little 253 5. Decreased a lot 36 8. DK 9. NA; RF ============================== VAR 980490 M7.FAVOR/OPPOSE IMPORT LIMITS COLUMNS 1024 - 1024 NUMERIC MD EQ 0, GE 8 M7. Some people have suggested placing new limits on foreign imports in order to protect American jobs. Others say that such limits would raise consumer prices and hurt American exports. Do you FAVOR or OPPOSE placing new limits on imports, or haven't you thought much about this? --------------------------------------------------------------------- 396 1. Favor 358 5. Oppose 16 8. DK 2 9. NA; RF 509 0. Haven't thought much about this ============================== VAR 980491 M8.VIETNAM OBJECTORS SHOULD HAVE SRVED COLUMNS 1025 - 1025 NUMERIC MD GE 8 M8. Do you think that most men who tried to avoid military service during the Vietnam War should have served regardless of their personal beliefs? --------------------------------------------------------------------- 575 1. Yes 628 5. No 60 8. DK 18 9. NA; RF ============================== VAR 980492 M9.RELIGION IMPORTANT TO R COLUMNS 1026 - 1026 NUMERIC MD GE 8 M9. Do you consider religion to be an IMPORTANT part of your life, or NOT? --------------------------------------------------------------------- 966 1. Important 304 5. Not important 7 8. DK 4 9. NA; RF ============================== VAR 980493 M10.RELIGION PROVIDE GUIDANCE TO R COLUMNS 1027 - 1027 NUMERIC MD EQ 0, GE 8 M10. IF R SAYS RELIGION IS IMPORTANT: Would you say your religion provides SOME guidance in your day-to-day living, QUITE A BIT of guidance, or A GREAT DEAL of guidance in your day-to-day life? --------------------------------------------------------------------- 248 1. Some 284 3. Quite a bit 430 5. A great deal 3 8. DK 1 9. NA; RF 315 0. Inap, 2,8,9 in M9 ============================== VAR 980494 M11.R PRAYS HOW OFTEN COLUMNS 1028 - 1028 NUMERIC MD GE 8 M11. Please look at page 15 of the booklet. People practice their religion in different ways. Outside of attending religious services, do you pray SEVERAL TIMES A DAY, ONCE A DAY, A FEW TIMES A WEEK, ONCE A WEEK OR LESS or NEVER? --------------------------------------------------------------------- 349 1. Several times a day 321 2. Once a day 240 3. A few times a week 223 4. Once a week or less 132 5. Never 3 8. DK 13 9. NA; RF ============================== VAR 980495 M12.R READS THE BIBLE HOW OFTEN COLUMNS 1029 - 1029 NUMERIC MD GE 8 M12. (Looking at page 15 of the booklet) Outside of attending religious services, do you read the Bible SEVERAL TIMES A DAY, ONCE A DAY, A FEW TIMES A WEEK, ONCE A WEEK OR LESS or NEVER? --------------------------------------------------------------------- 52 1. Several times a day 105 2. Once a day 157 3. A few times a week 473 4. Once a week or less 485 5. Never 2 8. DK 7 9. NA; RF ============================== VAR 980496 M13.BIBLE AUTHORITY COLUMNS 1030 - 1030 NUMERIC MD GE 8 M13. Please look at page 16 of the booklet. Which of these statements comes closest to describing your feelings about the Bible? You can just give me the number of your choice. 1. The Bible is the actual word of God and is to be taken literally, word for word. 2. The Bible is the word of God but not everything in it should be taken literally, word for word. 3. The Bible is a book written by men and is not the word of God. 7. Other [VOL] --------------------------------------------------------------------- 432 1. Bible is actual word of God 620 2. Bible is word of God, but not literally 189 3. Bible is not the word of God 13 7. Other (specify) [VOL] 14 8. DK 13 9. NA; RF ................................................................ M14. Please look at page 17 of the booklet. Some people think we need much tougher government regulations on business in order to protect the environment. (Suppose these people are at one end of a scale, at point 1.) Others think that current regulation to protect the environment are already too much of a burden on business. (Suppose these people are at the other end of the scale, a point number 7.) And, of course, some other people have opinions somewhere in between at points 2,3,4,5 or 6. ============================== VAR 980497 M14a.R- SCALE ENVIR REGULATION COLUMNS 1031 - 1031 NUMERIC MD EQ 0, GE 8 M14a. Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON ENVIRONMENTAL REGULATION SCALE --------------------------------------------------------------------- See M14 for full text. 242 1. Tougher regulations on business needed to protect the environment 203 2. 184 3. 229 4. 116 5. 59 6. 40 7. Regulations to protect environment already too much 6 8. DK 1 9. NA; RF 201 0. Haven't thought much about it ============================== VAR 980498 M14b.GORE -SCALE ENVIR REGULATION COLUMNS 1032 - 1032 NUMERIC MD GE 8 M14b. (Still looking at page 17 of the booklet) (Where would you place) AL GORE (on this scale)? AL GORE PLACEMENT ON ENVIRONMENTAL REGULATION SCALE --------------------------------------------------------------------- [IWER: DO NOT PROBE DK RESPONSE] See M14 for full text 246 1. Tougher regulations on business needed to protect the environment 224 2. 168 3. 160 4. 70 5. 30 6. 27 7. Regulations to protect environment already too much of a burden on business 354 8. DK 2 9. NA; RF ============================== VAR 980499 M14c.DEM HSE CAND- SCALE ENVIR REGUL COLUMNS 1033 - 1033 NUMERIC MD EQ 0, GE 8 M14c. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: (Still looking at page 17 of the booklet) Where would you place [Name #31, #33, #35] on this scale, or haven't you thought much about this? DEM HOUSE CAND PLACEMENT ON ENVIRONMENTAL REGULATION SCALE --------------------------------------------------------------------- [IWER: DO NOT PROBE DK RESPONSE] See M14 for full text. Order of major parties M4c-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 41 1. Tougher regulations on business needed to protect the environment 93 2. 105 3. 102 4. 31 5. 10 6. 9 7. Regulations to protect environment already too much of a burden on business 313 8. DK 6 9. NA; RF 571 0. Inap, no Dem. House candidate (type race 24 in Cand.1); Washington DC; R did not recognize candidate name in thermometer B4b1 (997) ============================== VAR 980500 M14d.REP HSE CAND- SCALE ENVIR REGUL COLUMNS 1034 - 1034 NUMERIC MD EQ 0, GE 8 M14d. IF REPUBLICAN CANDIDATE IN HOUSE RACE: (Still looking at page 17 of the booklet) Where would you place [Name #32, #34, #36] on this scale, or haven't you thought much about this? REP HOUSE CAND PLACEMENT ON ENVIRONMENTAL REGULATION SCALE --------------------------------------------------------------------- [IWER: DO NOT PROBE DK RESPONSE] See M14 for full text. Order of major parties M4c-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 12 1. Tougher regulations on business needed to protect the environment 34 2. 74 3. 157 4. 114 5. 70 6. 31 7. Regulations to protect environment already too much of a burden on business 347 8. DK 5 9. NA; RF 437 0. Inap, no Rep. House candidate (type race 14 in Cand.1); Washington DC; R did not recognize candidate name in thermometer B4b2 (997) ============================== VAR 980501 M14e.DEM PARTY -SCALE ENVIR REGULATION COLUMNS 1035 - 1035 NUMERIC MD GE 8 M14e. (Still looking at page 17 of the booklet) (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON ENVIRONMENTAL REGULATION SCALE --------------------------------------------------------------------- [IWER: DO NOT PROBE DK RESPONSE] See M14 for full text. Order of major parties M4e-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 102 1. Tougher regulations on business needed to protect the environment 227 2. 304 3. 240 4. 94 5. 36 6. 17 7. Regulations to protect environment already too much 258 8. DK 3 9. NA; RF ============================== VAR 980502 M14f.REP PARTY -SCALE ENVIR REGULATION COLUMNS 1036 - 1036 NUMERIC MD GE 8 M14f. (Still looking at page 17 of the booklet) (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON ENVIRONMENTAL REGULATION SCALE --------------------------------------------------------------------- [IWER: DO NOT PROBE DK RESPONSE] See M14 for full text. Order of major parties M4e-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 41 1. Tougher regulations on business needed to protect the environment 47 2. 139 3. 229 4. 251 5. 200 6. 99 7. Regulations to protect environment already too much 272 8. DK 3 9. NA; RF ============================== VAR 980503 M15.FAVOR/OPPOSE DEATH PENALTY COLUMNS 1037 - 1037 NUMERIC MD GE 8 M15. Do you FAVOR or OPPOSE the death penalty for persons convicted of murder? --------------------------------------------------------------------- 868 1. Favor 339 5. Oppose 54 8. DK 20 9. NA; RF ============================== VAR 980504 M15a/b.HOW MUCH FAV/OPPOSE DEATH PENALTY COLUMNS 1038 - 1038 NUMERIC MD EQ 0, GE 8 M15a/b. IF R FAVORS THE DEATH PENALTY FOR PERSONS CONVICTED OF MURDER / IF R OPPOSES THE DEATH PENALTY FOR PERSONS CONVICTED OF MURDER: a. Do you favor the death penalty for persons convicted of murder STRONGLY or NOT STRONGLY? b. Do you oppose the death penalty for persons convicted of murder STRONGLY or NOT STRONGLY? --------------------------------------------------------------------- 639 1. Favor strongly 226 2. Favor not strongly 139 4. Oppose not strongly 199 5. Oppose strongly 3 8. DK 1 9. NA; RF 74 0. Inap, 8,9 in M15 ============================== VAR 980505 M16a.R PLACEMENT- ABORTION SCALE COLUMNS 1039 - 1039 NUMERIC MD GE 8 M16a. Please look at page 18 of the Booklet. There has been some discussion about abortion during recent years. Which one of the opinions on this page best agrees with your view? You can just tell me the number of the opinion you choose. 1. By law, abortion should never be permitted. 2. The law should permit abortion ONLY in case of rape, incest or when the woman's life is in danger. 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. 4. By law, a woman should always been able to obtain an abortion as a matter of personal choice 7. Other [VOL] --------------------------------------------------------------------- 155 1. Never permitted 366 2. Rape, incest, danger only 210 3. Clear need 527 4. Always as personal choice 5 7. Other (specify) [VOL] 9 8. DK 9 9. NA; RF ============================== VAR 980506 M16b.GORE- ABORTION SCALE COLUMNS 1040 - 1040 NUMERIC MD GE 8 M16b. (Looking at page 18 of the booklet) (Where would you place) AL GORE (on this scale)? AL GORE PLACEMENT ON ABORTION ISSUE --------------------------------------------------------------------- 75 1. Never permitted 242 2. Rape, incest, danger only 206 3. Clear need 335 4. Always as personal choice 7. Other (specify) [VOL] 417 8. DK 6 9. NA; RF ============================== VAR 980507 M16c.DEM HSE CAND- ABORTION SCALE COLUMNS 1041 - 1041 NUMERIC MD EQ 0, GE 8 M16c. IF DEMOCRATIC CANDIDATE IN HOUSE RACE: (Looking at page 18 of the booklet) (Where would you place) [NAME #31,#33,#35] (on this scale)? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON ABORTION ISSUE --------------------------------------------------------------------- See M16a for full text. Order of House candidates M16c-M1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 28 1. Never permitted 108 2. Rape, incest, danger only 96 3. Clear need 144 4. Always as personal choice 7. Other (specify) [VOL] 327 8. DK 7 9. NA; RF 571 0. Inap, no Dem. House candidate (type race 24); Washington DC; R did not recognize candidate name in thermometer B4b1 ============================== VAR 980508 M16d.REP HSE CAND- ABORTION SCALE COLUMNS 1042 - 1042 NUMERIC MD EQ 0, GE 8 M16d. IF REPUBLICAN CANDIDATE IN HOUSE RACE: (Looking at page 18 of the booklet) (Where would you place) [NAME #32,#34,#36] (on this scale)? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON ABORTION ISSUE --------------------------------------------------------------------- See M16a for full text. Order of House candidates M16c-M1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 85 1. Never permitted 222 2. Rape, incest, danger only 88 3. Clear need 62 4. Always as personal choice 7. Other (specify) [VOL] 380 8. DK 7 9. NA; RF 437 0. Inap, no Rep. House candidate (type race 24); Washington DC; R did not recognize candidate name in thermometer B4b2 ============================== VAR 980509 M16e.DEM PARTY- ABORTION SCALE COLUMNS 1043 - 1043 NUMERIC MD GE 8 M16e. (Looking at page 18 of the booklet) (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON ABORTION ISSUE --------------------------------------------------------------------- See M16a for full text. Order of major parties M16e-M16f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 61 1. Never permitted 205 2. Rape, incest, danger only 272 3. Clear need 456 4. Always as personal choice 7. Other (specify) [VOL] 278 8. DK 9 9. NA; RF ============================== VAR 980510 M16f.REPUB PARTY- ABORTION SCALE COLUMNS 1044 - 1044 NUMERIC MD GE 8 M16f. (Looking at page 18 of the booklet) (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON ABORTION ISSUE --------------------------------------------------------------------- See M16a for full text. Order of major parties M16e-M16f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the study survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A12 there is a randomization variable Rand.A12]. 228 1. Never permitted 442 2. Rape, incest, danger only 172 3. Clear need 125 4. Always as personal choice 7. Other (specify) [VOL] 305 8. DK 9 9. NA; RF ============================== VAR 980511 M17.FAV/OPP LATE-TERM ABORTION BAN COLUMNS 1045 - 1045 NUMERIC MD GE 8 M17. There has been discussion recently about a proposed law to ban certain types of late-term abortions, sometimes called partial birth abortions. Do you FAVOR or OPPOSE a ban on these types of abortions? --------------------------------------------------------------------- 723 1. Favor 448 5. Oppose 89 8. DK 21 9. NA; RF ============================== VAR 980512 M17a/b.STRNGTH FAV/OPP LATE ABORTION BAN COLUMNS 1046 - 1046 NUMERIC MD EQ 0, GE 8 M17a/b. IF R FAVORS A BAN ON LATE TERM ABORTIONS / IF R OPPOSES A BAN ON LATE TERM ABORTIONS: a. Do you STRONGLY or NOT STRONGLY favor such a ban? b. Do you STRONGLY or NOT STRONGLY oppose such a ban? --------------------------------------------------------------------- 595 1. Favor Strongly 127 2. Favor Not Strongly 156 4. Oppose Not Strongly 290 5. Oppose Strongly 3 8. DK 9. NA 110 0. Inap, 5,8,9 in M17 ============================== VAR 980513 N1.IRISH ETC. NO SPEC FAVORS- BLACK NOT COLUMNS 1047 - 1047 NUMERIC MD GE 8 N1. Please turn to page 19 in the booklet. Now I'm going to read several statements. After each one, I would like you to tell me whether you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement. The first statement is: Irish, Italians, Jewish and many other minorities overcame prejudice and worked their way up. Blacks should do the same without any special favors. Do you AGREE STRONGLY, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY with this statement? --------------------------------------------------------------------- 450 1. Agree strongly 411 2. Agree somewhat 160 3. Neither agree nor disagree 152 4. Disagree somewhat 95 5. Disagree strongly 5 8. DK 8 9. NA; RF ============================== VAR 980514 N2.BLACKS HAVE GOTTEN LESS THN DESERVE COLUMNS 1048 - 1048 NUMERIC MD GE 8 N2. (Still looking at page 19 in the booklet) Over the past few years, blacks have gotten less than they deserve. (Do you AGREE STRONGLY, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY with this statement?) --------------------------------------------------------------------- 110 1. Agree strongly 258 2. Agree somewhat 255 3. Neither agree nor disagree 363 4. Disagree somewhat 275 5. Disagree strongly 11 8. DK 9 9. NA; RF ============================== VAR 980515 N3.SHOULD ADJUST MORAL BEHAV TO CHANge COLUMNS 1049 - 1049 NUMERIC MD GE 8 N3. (Still on p.19) The world is always changing and we should adjust our view of moral behavior to those changes. (Do you AGREE STRONGLY, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY with this statement?) --------------------------------------------------------------------- 181 1. Agree strongly 373 2. Agree somewhat 118 3. Neither agree nor disagree 264 4. Disagree somewhat 328 5. Disagree strongly 10 8. DK 7 9. NA; RF ============================== VAR 980516 N4.SHOULD TOLERATE OTHER MORAL STDS COLUMNS 1050 - 1050 NUMERIC MD GE 8 N4. (Still on p.19) The newer lifestyles are contributing to the breakdown of our society. (Do you AGREE STRONGLY, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY with this statement?) --------------------------------------------------------------------- 424 1. Agree strongly 414 2. Agree somewhat 165 3. Neither agree nor disagree 166 4. Disagree somewhat 95 5. Disagree strongly 12 8. DK 5 9. NA; RF ============================== VAR 980517 N5.MORE EMPHASIS ON TRAD FAM TIES COLUMNS 1051 - 1051 NUMERIC MD GE 8 N5. (Still on p.19) This country would have many fewer problems if there were more emphasis on traditional family ties. (Do you AGREE STRONGLY, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY with this statement?) --------------------------------------------------------------------- 664 1. Agree strongly 383 2. Agree somewhat 96 3. Neither agree nor disagree 81 4. Disagree somewhat 44 5. Disagree strongly 9 8. DK 4 9. NA; RF ============================== VAR 980518 N6.SHOULD BE MORE TOLERANT OTHER MORALS COLUMNS 1052 - 1052 NUMERIC MD GE 8 N6. (Still on page 19) We should be more tolerant of people who choose to live according to their own moral standards, even if they are very different from our own. (Do you AGREE STRONGLY, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY with this statement?) --------------------------------------------------------------------- 346 1. Agree strongly 506 2. Agree somewhat 145 3. Neither agree nor disagree 185 4. Disagree somewhat 89 5. Disagree strongly 5 8. DK 5 9. NA; RF ============================== VAR 980519 N7.MARITAL INFIDELITY ALWAYS WRONG COLUMNS 1053 - 1053 NUMERIC MD GE 8 N7. (Still on page 19) It is always wrong for a married person to have sexual relations with someone other than their marriage partner. (Do you AGREE STRONGLY, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY with this statement?) --------------------------------------------------------------------- 875 1. Agree strongly 184 2. Agree somewhat 85 3. Neither agree nor disagree 74 4. Disagree somewhat 56 5. Disagree strongly 2 8. DK 5 9. NA; RF ============================== VAR 980520 N8.R PLACMENT- VOTING MAKES DifF SCALE COLUMNS 1054 - 1054 NUMERIC MD GE 8 N8. (Looking at page 20 of the booklet,) Some people say that no matter who people vote for, it won't make any difference to what happens. Others say that who people vote for can make a difference to what happens. Using the scale in the booklet, (where 1 means that voting won't make a difference to what happens and 5 means that voting can make a difference), where would you place YOURSELF? --------------------------------------------------------------------- 81 1. Voting won't make a difference to what happens 89 2. 179 3. 301 4. 620 5. Voting can make a difference 7 8. DK 4 9. NA; RF ============================== VAR 980521 N9.HOW MUCH ATTEN DOES GOVT PAY PEOPLE COLUMNS 1055 - 1055 NUMERIC MD GE 8 N9. Not using the booklet - 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? --------------------------------------------------------------------- 237 1. A good deal 669 3. Some 361 5. Not much 10 8. DK 4 9. NA; RF ============================== VAR 980522 N10.ELECTIONS MAKE GOVT PAY ATTENTION COLUMNS 1056 - 1056 NUMERIC MD GE 8 N10. 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? --------------------------------------------------------------------- 588 1. A good deal 534 3. Some 148 5. Not much 7 8. DK 4 9. NA; RF ============================== VAR 980523 N11.POLITICS TOO COMPLICATED COLUMNS 1057 - 1057 NUMERIC MD GE 8 N11. Now, turn to page 21 in the respondent booklet. Please tell me how much you agree or disagree with these statements. The first is: Sometimes politics and government seem so complicated that a person like me can't really understand what's going on. Do you agree STRONGLY, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY with this statement? --------------------------------------------------------------------- 321 1. Agree strongly 584 2. Agree somewhat 92 3. Neither agree nor disagree 163 4. Disagree somewhat 114 5. Disagree strongly 4 8. DK 3 9. NA; RF ============================== VAR 980524 N12.PUBLIC OFFICIALS DONT CARE COLUMNS 1058 - 1058 NUMERIC MD GE 8 N12. (Still on page 21) Public officials don't care much what people like me think. (Do you agree STRONGLY, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY with this statement?) --------------------------------------------------------------------- 194 1. Agree strongly 571 2. Agree somewhat 166 3. Neither agree nor disagree 291 4. Disagree somewhat 52 5. Disagree strongly 4 8. DK 3 9. NA; RF ============================== VAR 980525 N13.PEOPLE DONT HAVE SAY IN GOVT COLUMNS 1059 - 1059 NUMERIC MD GE 8 N13. (Still on page 21) People like me don't have any say about what the government does. (Do you agree STRONGLY, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY with this statement?) --------------------------------------------------------------------- 167 1. Agree strongly 347 2. Agree somewhat 152 3. Neither agree nor disagree 449 4. Disagree somewhat 157 5. Disagree strongly 4 8. DK 5 9. NA; RF ============================== VAR 980526 N14.HOW MANY IN GOVT ARE CROOKED COLUMNS 1060 - 1060 NUMERIC MD GE 8 N14. Not using the booklet - People have different ideas about the government in Washington. These ideas don't refer to Democrats or Republicans in particular, but just to the government in general. We want to see how you feel about these ideas. For example: Do you think that QUITE A FEW of the people running the government are crooked, NOT VERY MANY are, or do you think HARDLY ANY of them are crooked? --------------------------------------------------------------------- 505 1. Quite a few are crooked 592 3. Not very many are crooked 157 5. Hardly any are crooked 20 8. DK 7 9. NA; RF ============================== VAR 980527 N15.HOW MUCH TAX DOES GOVT WASTE COLUMNS 1061 - 1061 NUMERIC MD GE 8 N15. Do you think that people in government WASTE A LOT of the money we pay in taxes, WASTE SOME OF IT, or DON'T WASTE VERY MUCH of it? --------------------------------------------------------------------- 783 1. Waste a lot 441 3. Waste some 43 5. Don't waste very much 11 8. DK 3 9. NA; RF ============================== VAR 980528 N16.HOW OFTEN GOVT DOES WHAT IS RIGHT COLUMNS 1062 - 1062 NUMERIC MD GE 8 N16. How much of the time do you think you can trust the government in Washington to do what is right-- JUST ABOUT ALWAYS, MOST OF THE TIME, or ONLY SOME OF THE TIME? --------------------------------------------------------------------- 41 1. Just about always 466 2. Most of the time 744 3. Only some of the time 19 4. Never [VOL] 8 8. DK 3 9. NA; RF ============================== VAR 980529 N17.GOVT RUN BY BIG INTERSTS/BENEFIT ALL COLUMNS 1063 - 1063 NUMERIC MD GE 8 N17. Would you say the government is pretty much RUN BY A FEW BIG INTERESTS looking out for themselves or that it is RUN FOR THE BENEFIT OF ALL THE PEOPLE? --------------------------------------------------------------------- 806 1. Gov't run by a few big interests 403 5. Gov't run for the benefit of all 60 8. DK 12 9. NA; RF ============================== VAR 980530 N18.US DOESNT NEED POLITICAL PARTIES COLUMNS 1064 - 1064 NUMERIC MD GE 8 N18. Again, looking at page 21 of the booklet. Please tell me how much you agree with this statement. The truth is we probably don't need political parties in American anymore. (Do you AGREE STRONGLY, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY with this statement?) --------------------------------------------------------------------- 109 1. Agree strongly 259 2. Agree somewhat 175 3. Neither agree nor disagree 326 4. Disagree somewhat 395 5. Disagree strongly 14 8. DK 3 9. NA; RF ============================== VAR 980531 N19.PEOPLE TAKE ADVANTAge OF R COLUMNS 1065 - 1065 NUMERIC MD GE 8 N19. Do you think most people would try to take advantage of you if they got the chance or would they try to be fair? --------------------------------------------------------------------- 523 1. Take advantage 727 5. Try to be fair 25 8. DK 6 9. NA; RF ============================== VAR 980532 N20.CAN TRUST PEOPLE/CANT BE TOO CAREFUL COLUMNS 1066 - 1066 NUMERIC MD GE 8 N20. Generally speaking, would you say that most people can be trusted, or that you can't be too careful in dealing with people? --------------------------------------------------------------------- 539 1. Can be trusted 729 5. Can't be too careful dealing with people 8 8. DK 5 9. NA; RF ============================== VAR 980533 P1.SHOULD CLINTON RESIGN COLUMNS 1067 - 1067 NUMERIC MD GE 8 P1. The next few questions concern public reaction to the allegations that President Clinton lied under oath about his affair with Monica Lewinsky. Should President Clinton resign? --------------------------------------------------------------------- 413 1. Yes 834 5. No 24 8. DK 10 9. NA; RF ============================== VAR 980534 P2.SHOULD CLINTON BE IMPEACHED COLUMNS 1068 - 1068 NUMERIC MD GE 8 P2. If he does not resign, should he be impeached? --------------------------------------------------------------------- See P1 for introductory text 364 1. Yes 874 5. No 32 8. DK 11 9. NA; RF ============================== VAR 980535 P3.APP/DIS CONGR HANDLE CLINTON SCANDAL COLUMNS 1069 - 1069 NUMERIC MD GE 8 P3. Do you APPROVE or DISAPPROVE of how the U.S. Congress is handling these allegations (that President Clinton lied under oath about his affair with Monica Lewinsky)? --------------------------------------------------------------------- See P1 for introductory text 338 1. Approve 889 5. Disapprove 46 8. DK 8 9. NA; RF ============================== VAR 980536 P3a/b.STR APP/DIS CONGR ON CLINTON SCAN COLUMNS 1070 - 1070 NUMERIC MD EQ 0, GE 8 P3a/b. IF R APPROVES HOW CONGRESS IS HANDLING CLINTON ALLEGATIONS / IF R DISAPPROVES HOW CONGRESS IS HANDLING CLINTON ALLEGATIONS: a. Do you approve STRONGLY or NOT STRONGLY? b. Do you disapprove STRONGLY or NOT STRONGLY? --------------------------------------------------------------------- See P1 for introductory text 150 1. Approve strongly 187 2. Approve not strongly 211 4. Disapprove not strongly 677 5. Disapprove strongly 2 8. DK 9. NA 54 0. Inap, 8,9 in P3 ============================== VAR 980537 P4.APPR/DISAPP MEDIA ON CLINTON SCANDAL COLUMNS 1071 - 1071 NUMERIC MD GE 8 P4. Do you APPROVE or DISAPPROVE of how the news media is handling these allegations (that President Clinton lied under oath about his affair with Monica Lewinsky)? --------------------------------------------------------------------- See P1 for introductory text. 236 1. Approve 1021 5. Disapprove 19 8. DK 5 9. NA; RF ============================== VAR 980538 P4a/b.STR APP/DIS MEDIA ON CLINTON SCAN COLUMNS 1072 - 1072 NUMERIC MD EQ 0, GE 8 P4a/b. IF R APPROVES HOW NEWS MEDIA IS HANDLING CLINTON ALLEGATIONS / IF R DISAPPROVES HOW NEWS MEDIA IS HANDLING CLINTON ALLEGATIONS: a. Do you approve STRONGLY or NOT STRONGLY? b. Do you disapprove STRONGLY or NOT STRONGLY? --------------------------------------------------------------------- 93 1. Approve strongly 142 2. Approve not strongly 216 4. Disapprove not strongly 804 5. Disapprove strongly 2 8. DK 9. NA 24 0. Inap, 8,9 in P4 ============================== VAR 980539 P5.CLINTON MATTER PUBLIC OR PRIV ISSUE COLUMNS 1073 - 1073 NUMERIC MD GE 8 P5. Do you think of this whole situation (the Clinton- Lewinsky matter) more as a PRIVATE MATTER having to do with Bill Clinton's personal life, or more a PUBLIC MATTER having to do with Bill Clinton's job as President? --------------------------------------------------------------------- [PROBE IF R SAYS BOTH: "Is it more a private matter or more a public matter?"] See P1 for introductory text. 798 1. A private matter having to do with Bill Clinton's personal life 403 5. A public matter having to do with Bill Clinton's job as President 69 7. Both [ONLY AFTER PROBE] 3 8. DK 8 9. NA; RF ============================== VAR 980540 P6.KENNETH STARR IMPARTIAL OR PARTISAN COLUMNS 1074 - 1074 NUMERIC MD GE 8 P6. Do you think Kenneth Starr, the Independent Counsel investigating Whitewater and other issues, is mostly conducting an IMPARTIAL INVESTIGATION to find out if anything illegal occurred or is mostly conducting a PARTISAN INVESTIGATION to damage Bill Clinton? --------------------------------------------------------------------- [PROBE IF R SAYS 'Both': "Which comes closer to your view: that Starr's investigation was impartial or that it was partisan?"] See P1 for introductory text. 342 1. Impartial investigation 844 5. Partisan investigation 35 7. Both [ONLY AFTER PROBE] 52 8. DK 8 9. NA; RF ============================== VAR 980541 X1.ATTEND RELIGIOUS SERVICES COLUMNS 1075 - 1075 NUMERIC MD GE 8 X1. Turning to another topic- Lots of things come up that keep people from attending religious services even if they want to. Thinking about your life these days, do you ever attend religious services, apart from occasional weddings, baptisms or funerals? --------------------------------------------------------------------- 858 1. Yes 415 5. No 1 8. DK 7 9. NA; RF ============================== VAR 980542 X1a.BELONG TO RELIGIOUS GROUP COLUMNS 1076 - 1076 NUMERIC MD EQ 0, GE 8 X1a. IF R DOES NOT ATTEND RELIGIOUS SERVICES: Regardless of whether you now attend any religious services do you ever think of yourself as part of a particular church or denomination? --------------------------------------------------------------------- 243 1. Yes 172 5. No 8 8. DK 9. NA; RF 858 0. Inap, 1 in X1 ============================== VAR 980543 X2.ATTEND RELIG SERV HOW OFTEN COLUMNS 1077 - 1077 NUMERIC MD EQ 0, GE 8 X2. IF R ATTENDS RELIGIOUS SERVICES: Do you go to religious services EVERY WEEK, ALMOST EVERY WEEK, ONCE OR TWICE A MONTH, A FEW TIMES A YEAR, OR NEVER? --------------------------------------------------------------------- 306 1. Every week 168 2. Almost every week 178 3. Once or twice a month 198 4. A few times a year 6 5. Never 8. DK 2 9. NA; RF 423 0. Inap, 5,8,9 in X1 ============================== VAR 980544 X2a.ATTEND RELIG SERV > ONCE/WEEK COLUMNS 1078 - 1078 NUMERIC MD EQ 0, GE 8 X2a. IF R SAYS ATTENDS RELIGIOUS SERVICES 'EVERY WEEK': Would you say you go to religious services ONCE A WEEK or MORE OFTEN THAN ONCE A WEEK? --------------------------------------------------------------------- 191 1. Once a week 115 2. More often than once 8. DK 9. NA 975 0. Inap, 5,8,9 in X1; 2-5,8,9 in X2 ============================== VAR 980545 X3.ATTEND CHURCH CHECKPOINT COLUMNS 1079 - 1079 NUMERIC MD EQ 0, GE 8 X3. IF R ATTENDS CHURCH: / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION: INTERVIEWER CHECKPOINT: DOES R ATTEND CHURCH? --------------------------------------------------------------------- 850 1. Yes 423 5. No (includes cases coded 9 in X2) 1 8. 8 in X1 7 0. Inap, 9 in X1 ============================== VAR 980546 X3a.ATTEND MAJOR RELIGION GROUP COLUMNS 1080 - 1080 NUMERIC MD EQ 0, GE 8 X3a. IF R ATTENDS RELIGIOUS SERVICES: Do you mostly attend a place of worship that is PROTESTANT, ROMAN CATHOLIC, JEWISH, or what? --------------------------------------------------------------------- 444 1. Protestant 273 2. Roman Catholic 22 3. Jewish 110 7. Other 8. DK 2 9. NA; RF 430 0. Inap, 0,5 in X3 ============================== VAR 980547 X3b.NONATTEND MAJOR RELIGION GROUP COLUMNS 1081 - 1081 NUMERIC MD EQ 0, GE 8 X3b. IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION: Do you consider yourself PROTESTANT, ROMAN CATHOLIC, JEWISH, or what? --------------------------------------------------------------------- 108 1. Protestant 103 2. Roman Catholic 7 3. Jewish 31 7. Other 8. DK 1 9. NA 1031 0. Inap, 5,8,9 in X1a; 1,8 in X3 ============================== VAR 980548 X4.PROTESTANT/OTHER DENOMINATION COLUMNS 1082 - 1083 NUMERIC MD EQ 0, GE 98 X4. IF R ATTENDS CHURCH AND ATTENDS AS PROTESTANT OR 'OTHER': / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF PROTESTANT OR 'OTHER': What church or denomination is that? --------------------------------------------------------------------- 197 1. Baptist 28 2. Episcopalian/Anglican/Church of England 81 3. Lutheran 89 4. Methodist 4 5. 'Just Protestant' 46 6. Presbyterian 1 7. Reformed 8. Brethren 4 9. Evangelical United Brethren 27 10. 'Christian' or 'just Christian' 3 11. Christian Scientist 22 12. Church (or Churches) of Christ 6 13. United Church of Christ 1 14. Disciples of Christ 11 15. Church of God 19 16. Assembly of God 6 17. Congregationalist 4 18. Holiness 18 19. Pentacostal 20. Friends, Quaker 21. Orthodox, e.g. Greek, Russian (specify) 26 22. Non-denominational-- Protestant 15 23. Mormons 5 24. Jehovah's Witnesses 4 25. Latter Day Saints 8 26. Unitarian/Universalist 2 27. Buddhist 1 28. Hindu 4 29. Muslim/Islam 30. Native American 60 97. Other (specify) 1 98. DK 99. NA 588 00. Inap, 9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/X3b ============================== VAR 980549 X4(1).DENOMINATION OTHER SPECifY COLUMNS 1084 - 1084 CHARACTER X4(1). IF R ATTENDS CHURCH AND ATTENDS AS PROTESTANT OR 'OTHER': / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF PROTESTANT OR 'OTHER': IF R SPECIFIES DENOMINATION 'OTHER': What church or denomination is that? TEXT OF DENOMINATION 'OTHER (SPECIFY)' --------------------------------------------------------------------- This variable has been blanked to preserve confidentiality. ============================== VAR 980550 X4a.BAPTIST GROUP COLUMNS 1085 - 1085 NUMERIC MD EQ 0, GE 8 X4a. IF R ATTENDS CHURCH AND IS PROTESTANT OR 'OTHER' IN X3a / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF PROTESTANT OR 'OTHER' IN X3b: IF R DENOMINATION IS BAPTIST IN X4: With which Baptist group is your church associated? (Is it the Southern Baptist Convention, the American Baptist Churches in the U.S.A., the American Baptist Association, an independent Baptist church or some other Baptist group?) --------------------------------------------------------------------- 100 1. Southern Baptist Convention 15 2. American Baptist Churches in USA 8 3. American Baptist Association 38 4. Independent Baptist 24 7. Other (specify) 12 8. DK 9. NA 1084 0. Inap, 9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 2-30,97-99 in X4 ============================== VAR 980551 X4b.INDEPENDENT BAPTIST GROUP COLUMNS 1086 - 1086 NUMERIC MD EQ 0, GE 8 X4b. IF R ATTENDS CHURCH AND IS PROTESTANT OR 'OTHER' IN X3a / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF PROTESTANT OR 'OTHER' IN X3b: IF R DENOMINATION IS BAPTIST IN X4: IF R'S CHURCH IS INDEPENDENT BAPTIST: Are you affiliated with any larger Baptist group or is this strictly a local church? --------------------------------------------------------------------- 3 1. Larger Baptist group (specify) 33 2. Local 2 8. DK 9. NA 1243 0. Inap, 9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 2-30,97-99 in X4; 1,2,3,7,8,9 in X4a ============================== VAR 980552 X4c.LUTHERAN GROUP COLUMNS 1087 - 1087 NUMERIC MD EQ 0, GE 8 X4c. IF R ATTENDS CHURCH AND IS PROTESTANT OR 'OTHER' IN X3a / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF PROTESTANT OR 'OTHER' IN X3b: IF R DENOMINATION IS LUTHERAN IN X4: Is this church part of the Evangelical Lutheran Church in American, the Missouri Synod, or some other Lutheran group? --------------------------------------------------------------------- 41 1. Evangelical Lutheran Church 22 2. Missouri Synod 15 7. Other (specify) 3 8. DK 9. NA 1200 0. Inap, 9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1,2,4-30,97-99 in X4 ============================== VAR 980553 X4d.METHODIST GROUP COLUMNS 1088 - 1088 NUMERIC MD EQ 0, GE 8 X4d. IF R ATTENDS CHURCH AND IS PROTESTANT OR 'OTHER' IN X3a / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF PROTESTANT OR 'OTHER' IN X3b: IF R DENOMINATION IS METHODIST IN X4: Is your church part of the United Methodist Church, African Methodist Episcopal, or some other Methodist group? --------------------------------------------------------------------- 77 1. United Methodist Church 6 2. African Methodist Episcopal 4 7. Other (specify) 2 8. DK 9. NA 1192 0. Inap, 9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-3, 5-30, 97-99 in X4 ============================== VAR 980554 X4e.PRESBYTERIAN GROUP COLUMNS 1089 - 1089 NUMERIC MD EQ 0, GE 8 X4e. IF R ATTENDS CHURCH AND IS PROTESTANT OR 'OTHER' IN X3a / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF PROTESTANT OR 'OTHER' IN X3b: IF R DENOMINATION IS PRESBYTERIAN IN X4: Is this the Presbyterian Church in the USA or some other Presbyterian group? --------------------------------------------------------------------- 41 1. Presbyterian Church USA (formerly United Presbyterian Church) 5 7. Other (specify) 8. DK 9. NA 1235 0. Inap, 9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-5, 7-30, 97-99 in X4 ============================== VAR 980555 X4f.REFORMED GROUP COLUMNS 1090 - 1090 NUMERIC MD EQ 0, GE 8 X4f. IF R ATTENDS CHURCH AND IS PROTESTANT OR 'OTHER' IN X3a / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF PROTESTANT OR 'OTHER' IN X3b: IF R DENOMINATION IS REFORMED CHURCH IN X4: Is this the Christian Reformed Church, the Reformed Church in America or some other Reformed group? --------------------------------------------------------------------- 1. Christian Reformed Church 2. The Reformed Church in America 1 7. Other (specify) 8. DK 9. NA 1280 0. Inap, 9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-6, 8-30, 97-99 in X4 ============================== VAR 980556 X4g.BRETHREN GROUP COLUMNS 1091 - 1091 NUMERIC MD EQ 0, GE 8 X4g. IF R ATTENDS CHURCH AND IS PROTESTANT OR 'OTHER' IN X3a / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF PROTESTANT OR 'OTHER' IN X3b: IF R'S DENOMINATION IS BRETHREN IN X4: Is this the Church of the Brethren, the Plymouth Brethren, or what? --------------------------------------------------------------------- 1. Church of the Brethren 2. The Plymouth Brethren 7. Other (specify) 8. DK 9. NA 1281 0. Inap, 9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-7, 9-30, 97-99 in X4 ============================== VAR 980557 X4h.CHRISTIAN GROUP COLUMNS 1092 - 1092 NUMERIC MD EQ 0, GE 8 X4h. IF R ATTENDS CHURCH AND IS PROTESTANT OR 'OTHER' IN X3a / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF PROTESTANT OR 'OTHER' IN X3b: IF R SAYS DENOMINATION IS 'JUST CHRISTIAN' IN X4: When you say "Christian" does that mean the denomination called the "Christian Church Disciples of Christ," or some other Christian denomination, or do you mean to say "I am just a Christian"? --------------------------------------------------------------------- 4 1. Disciples of Christ 12 2. I am just a Christian 11 7. Other (specify) 8. DK 9. NA 1254 0. Inap, 9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-9,11-30, 97-99 in X4 ============================== VAR 980558 X4i.CHURCH OF CHRIST GROUP COLUMNS 1093 - 1093 NUMERIC MD EQ 0, GE 8 X4i. IF R ATTENDS CHURCH AND IS PROTESTANT OR 'OTHER' IN X3a / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF PROTESTANT OR 'OTHER' IN X3b: IF R DENOMINATION IS CHURCH OF CHRIST IN X4: Is this the Church of Christ or the United Church of Christ? --------------------------------------------------------------------- 15 1. Church of Christ 6 2. United Church of Christ 1 8. DK 9. NA 1259 0. Inap, 9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-11, 13-30, 97-99 in X4 ============================== VAR 980559 X4j.CHURCH OF GOD GROUP COLUMNS 1094 - 1094 NUMERIC MD EQ 0, GE 8 X4j. IF R ATTENDS CHURCH AND IS PROTESTANT OR 'OTHER' IN X3a / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF PROTESTANT OR 'OTHER' IN X3b: IF R DENOMINATION IS CHURCH OF GOD IN X4: Is this the Church of God of Anderson, Indiana; the Church of God of Cleveland, Tennessee; the Church of God in Christ; or some other Church of God? --------------------------------------------------------------------- 3 1. Of Anderson, Indiana 2 2. Of Cleveland, Tennessee 3. Church of God in Christ 4 7. Other (specify) 2 8. DK 9. NA 1270 0. Inap, 9 in X1; 5,8,9 in X1a; 2,3,,8,9 in X3a/b; ============================== VAR 980560 X4k.HOLINESS/PENTACOSTAL GROUP COLUMNS 1095 - 1095 CHARACTER X4k. IF R ATTENDS CHURCH AND IS PROTESTANT OR 'OTHER' IN X3a / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF PROTESTANT OR 'OTHER' IN X3b: IF R'S DENOMINATION IS HOLINESS OR PENTACOSTAL IN X4: What kind of church is that? What is it called exactly? Is that part of a larger church or denomination? What is that church called? --------------------------------------------------------------------- Q.X4k field is blank. The open-ended responses have been hand-coded into the religion summary variable, X10 but the actual response texts have been deleted. ============================== VAR 980561 X4kx.OTHER TEXTS - BLANKED COLUMNS 1096 - 1096 CHARACTER X4kx. IF R'S DENOMINATION SPECIFIES 'OTHER' IN X4a-X4k: OTHER (SPECIFY) IN DENOMINATIONAL FOLLOWUPS: --------------------------------------------------------------------- Q.X4kx field is blank to preserve confidentiality. Open-ended responses coded as 'other' in X4a-X4k have been hand-coded into the religion summary var X10 but actual response texts have been deleted ============================== VAR 980562 X4m.OTHER (X4) DENOMINATION COLUMNS 1097 - 1097 CHARACTER X4m. IF R ATTENDS CHURCH AND IS 'PROTESTANT' OR 'OTHER' IN X3a / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF 'PROTESTANT' OR 'OTHER' IN X3b: IF R DOES NOT CHOOSE A DENOMINATION IN X4: What is it called exactly? Is that church part of a denomination? --------------------------------------------------------------------- Q.X4m field has been blanked. Open-ended responses coded as 'other' in X4 have been hand-coded into the religion summary var X10 but actual response texts have been deleted. ============================== VAR 980563 X4m(1).IS OTHER GROUP CHRISTIAN COLUMNS 1098 - 1098 NUMERIC MD EQ 0, GE 8 X4m(1). IF R ATTENDS CHURCH AND IS 'OTHER' IN X3a / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF 'OTHER' IN X3b: IF R DOES NOT CHOOSE A DENOMINATION IN X4: (IF NECESSARY:) Is that group Christian? --------------------------------------------------------------------- 31 1. Yes 11 5. No 1 8. DK 17 9. NA; RF 1221 0. Inap, 9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-30, 98,99 in X4; 97 in X4 and 1 in X3a/X3b ============================== VAR 980564 X6a/b.ATTEND JEWISH GROUP COLUMNS 1099 - 1099 NUMERIC MD EQ 0, GE 8 X6a/b. IF R ATTENDS RELIGIOUS SERVICES AND IS JEWISH IN X3a / IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION AND CONSIDERS SELF JEWISH IN X3b: a. Do you usually attend a synagogue or temple that is ORTHODOX, CONSERVATIVE, REFORM or what? b. Do you consider yourself ORTHODOX, CONSERVATIVE, REFORM, or what? --------------------------------------------------------------------- 2 1. Orthodox 13 2. Conservative 11 3. Reform 3 7. Other (specify) 8. DK 9. NA 1252 0. Inap, 5,8,9 in X1a; 1,2,7,8,9 in X3a/X3b ============================== VAR 980565 X7.MEMBER PLACE OF WORSHIP COLUMNS 1100 - 1100 NUMERIC MD EQ 0, GE 8 X7. IF R ATTENDS RELIGIOUS SERVICES / IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT THINKS OF SELF AS PART OF A CHURCH OR DENOMINATION: Are you officially a member of a parish, congregation, temple or other place of worship? --------------------------------------------------------------------- 723 1. Yes 375 5. No 2 8. DK 1 9. NA 180 0. Inap, 9 in X1; 5,8,9 in X1a ============================== VAR 980566 X8.CHRISTIANITY TYPE COLUMNS 1101 - 1101 NUMERIC MD EQ 0, GE 8 X8. IF R ATTENDS RELIGIOUS SERVICES / IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT THINKS OF SELF AS PART OF A CHURCH OR DENOMINATION: IF R IDENTIFIES A CHRISTIAN RELIGION IN X3a, X3b, X4 or X4m(1): (Please look at page 22 of the booklet.) Which one of these words BEST describes your kind of Christianity, Fundamentalist, Evangelical, Charismatic or Spirit-Filled, Moderate to Liberal? --------------------------------------------------------------------- 124 1. Fundamentalist 150 2. Evangelical 243 3. Charismatic or spirit filled 401 4. Moderate to liberal 50 5. Something else (specify) [VOL] 61 8. DK 4 9. NA; RF 248 0. Inap, 8,9 in X1; 8,9 in X1a; 3,8,9 in X3a/X3b; 27-30 in X4; 5,8,9 in X4m(1) ============================== VAR 980567 X8a.CHRISTIANITY TYPE - OPEN COLUMNS 1102 - 1102 CHARACTER X8a. IF R ATTENDS RELIGIOUS SERVICES / IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT THINKS OF SELF AS PART OF A CHURCH OR DENOMINATION: IF R IDENTIFIES A CHRISTIAN RELIGION IN X3a, X3b, X4 or X4m(1): IF TYPE OF CHRISTIANITY IS 'SOMETHING ELSE' [VOL] IN X8: (Please look at page 22 of the booklet.) Which one of these words BEST describes your kind of Christianity, Fundamentalist, Evangelical, Charismatic or Spirit-Filled, Moderate to Liberal? TEXT OF RESPONSE - 'SOMETHING ELSE' [VOL] --------------------------------------------------------------------- This variable has been blanked to preserve confidentiality. ============================== VAR 980568 X9.R BORN-AGAIN CHRISTIAN COLUMNS 1103 - 1103 NUMERIC MD EQ 0, GE 8 X9. IF R ATTENDS RELIGIOUS SERVICES / IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT THINKS OF SELF AS PART OF A CHURCH OR DENOMINATION: IF R IDENTIFIES A CHRISTIAN RELIGION IN X3a, X3b, X4 or X4m(1): (Not using the booklet.) Would you call yourself a born-again Christian, that is, have you personally had a conversion experience related to Jesus Christ? --------------------------------------------------------------------- 356 1. Yes 670 5. No 2 8. DK 5 9. NA; RF 248 0. Inap, 8,9 in X1; 8,9 in X1a; 3,8,9 in X3a/X3b; 27-30 in X4; 5,8,9 in X4m(1) ============================== VAR 980569 X10.RELIGION SUMMARY COLUMNS 1104 - 1106 NUMERIC MD EQ 0, GE 998 X10. RELIGION SUMMARY --------------------------------------------------------------------- See the RELIGION master code. This variable summarizes the information gathered in questions X3a/b, X4, X4a-m, X4m(1), X6a/b. Information collected in the open-ended responses to the religion section component questions have been hand coded into this summary variable. Codes followed by * have been newly added in 1998. Codes 010-997 and: 998. DK/refused 999. NA 000. Inap, no religious identification or preference (and R does not attend) ============================== VAR 980570 Y1a.R MONTH OF BIRTH COLUMNS 1107 - 1108 NUMERIC MD GE 97 Y1a. What is the month, day and year of your birth? (MONTH) --------------------------------------------------------------------- Month 1-12 and: 117 1. January 92 2. February 129 3. March 101 4. April 98 5. May 105 6. June 117 7. July 100 8. August 114 9. September 120 10. October 91 11. November 82 12. December 1 97. DK 14 98. Refused 99. NA ============================== VAR 980571 Y1b.R YEAR OF BIRTH COLUMNS 1109 - 1112 NUMERIC MD GE 9997 Y1b. What is the month, day and year of your birth? (YEAR) --------------------------------------------------------------------- Actual year was coded, and: 9997. DK 9998. Refused 9999. NA ============================== VAR 980572 Y1c.Age OF RESPONDENT COLUMNS 1113 - 1114 NUMERIC MD EQ 0, GE 98 Y1c. What is the month, day and year of your birth? (YEAR) AGE OF RESPONDENT --------------------------------------------------------------------- Built from Y1a-Y1b. Month and year of R's birth was subtracted from month and year of interview. If year of birth was NA or refused but age of respondent was given by informant in the household listing, then age from household listing was used (if available). Age 18-96 and: 97. 97 years or more 98. Refused 99. NA; DK 00. Inap, 9999 in Y1c ============================== VAR 980573 Y2.R MARITAL STATUS COLUMNS 1115 - 1115 NUMERIC MD GE 9 Y2. Are you married now and living with your (husband/wife)-- or are you widowed, divorced, separated, or have you never married? --------------------------------------------------------------------- 676 1. Married 109 2. Widowed 165 3. Divorced 33 4. Separated 269 5. Never married 22 6. Partners, not married [VOL] 1 8. DK 6 9. NA; RF ============================== VAR 980574 Y3.HIGHEST GRADE COMPLETED COLUMNS 1116 - 1117 NUMERIC MD GE 98 Y3. What is the highest grade of school or year of college you have completed? --------------------------------------------------------------------- Grade 0-17 and: 17. 17 or more 98. DK; RF 99. NA ============================== VAR 980575 Y3a.R DIPLOMA/geD COLUMNS 1118 - 1118 NUMERIC MD EQ 0, GE 8 Y3a. IF R HAS COMPLETED FEWER THAN 13 YEARS OF EDUCATION: Did you get a high school diploma or pass a high school equivalency test? --------------------------------------------------------------------- 382 1. Yes 169 5. No 8. DK 9. NA; RF 730 0. Inap, 13-17, 99 in Y3 ============================== VAR 980576 Y3b.HIGHEST DEGREE EARNED COLUMNS 1119 - 1120 NUMERIC MD EQ 0, GE 98 Y3b. IF R HAS COMPLETED MORE THAN 12 YEARS OF EDUCATION: What is the highest degree that you have earned? --------------------------------------------------------------------- 213 1. Bachelor's degree 107 2. Master's degree 18 3. PHD, LIT, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 6 4. LLB, JD 7 5. MD, DDS, DVM, MVSA, DSC, DO 4 6. JSC, STD, THD 112 7. Associate degree (AA); RN (no Bachelor's degree) 254 96. No degree earned 1 98. DK 99. NA 559 00. Inap, 0-12, 98,99 in Y3 ============================== VAR 980577 Y3x.SUMMARY - RESPONDENT EDUCATION COLUMNS 1121 - 1121 NUMERIC MD GE 8 Y3x. hat is the highest grade of school or year of college you have completed? Did you get a high school diploma or pass a high school equivalency test? What is the highest degree that you have earned? SUMMARY - R'S EDUCATION --------------------------------------------------------------------- Built from Y3, Y3a, Y3b. 59 1. 8 grades or less and no diploma or equivalency [0-8 in Y3, 5 in Y3a] 110 2. 9-11 grades, no further schooling (incl. 12 years without diploma or equivalency) [9-12 in Y3, 5 in Y3a] 386 3. High school diploma or equivalency test [0-12 in Y3, 1 in Y3a] 254 4. More than 12 years of schooling, no higher degree (13-17 in Y3, 96 in Y3b) 112 5. Junior or community college level degrees (AA degrees) (07 in Y3b) 213 6. BA level degrees; 17+ years, no advanced degree (01 in Y3b) 142 7. Advanced degree, including LLB [13-17 in Y3, 2-6 in Y3b] 1 8. DK [98 in Y3, 8 in Y3a; 98 in Y3b] 4 9. NA [RF in Y3; 9 in Y3a; 99 in Y3b] ................................................................ Y4. Occupation/employment variables represent 5 series of questions. The question series initially assigned to R (Y5) is determined by R's self-identification of employment status as found in Y5. The series occupation data are: "UNEMPLOYED" - past occupation "RETIRED" - past occupation "DISABLED" - past occupation "HOMEMAKER" (nonworking) - past occupation "STUDENT" (nonworking) - past occupation "WORKING NOW" - current occupation Note: The final employment status summaries Y6-Y7 are built using both R's initial self-identification per Y5 and additional information provided by R during questioning. The retired who are also currently working have data in both the RETIRED and WORKING NOW series; the disabled may also have data in both DISABLED and WORKING NOW series. For homemaker and student Rs, the 1st question in the HOMEMAKER/STUDENT series asks whether R is currently working; if so, R is immediately transferred out of that series to the WORKING NOW series (the HOMEMAKER/STUDENT series not completed). Since many questions are asked across multiple series, data for common questions across series are "stacked" into variables V98038-V98048; for these stacked variables the following data are included: PAST employment of all retirees (15,50,51 in Y6) PAST employment of the unemployed (40 in Y6) PAST employment of nonworking disabled (60 in Y6) PRESENT employment of working disabled (16,61 in Y6) PRESENT employment of Rs working now only (10,20 in Y6) or working homemaker/student (17,18,71,81 in Y6) NO data for nonworking homemakers/students (70,75,80 in Y6) ============================== VAR 980578 EMPLOYMENT STATUS SERIES COLUMNS 1122 - 1122 NUMERIC MD GE 9 Y5. Please look at page 23 of the booklet. We'd like to know if YOU are working now, temporarily laid off, or are you unemployed, retired, permanently disabled, a homemaker, a student, or what? ASSIGNED EMPLOYMENT SERIES --------------------------------------------------------------------- (MARK ALL THAT APPLY) See notes Y4. This variable describes the series of employment questions to which R is initially assigned according to R's self- identification of employment status. By contrast, the Y6 and Y7 employment status summary variables are built using relevant information from R's Y5 self- identification and also from information obtained during questioning (especially number of hours worked). Initial series assignment from multiple mentions given by R for his or her own employment status is as follows: -RET ONLY or (RET and any others) -->retired series -HM/ST ONLY or (HM/ST and UN/DIS/WN/TLO) -->hmaker/stud series -DIS ONLY or (DIS and UN/WN/TLO) -->disabled series -WN/TLO ONLY -->working now series Note that Rs initially assigned per Y5 to the RETIRED, DISABLED or HOMEMAKER/STUDENT series are redirected from within those series to the WORKING NOW series if the R was also currently working (both series completed if retired or disabled). For this reason, the WORKING NOW series appears last in codebook variables: UNEMPLOYED [UN] V980580-980590 RETIRED [RET] V980581-980603 PERMANENTLY DISABLED [DIS] V980604-980615 HOMEMAKER/STUDENT [HM/ST] V980616-980626 WORKING NOW/TEMP. LAID OFF [WN/TLO] V980627-980637 716 1. Assigned WORKING NOW series - working now (Y7-Y7j) 16 2. Assigned WORKING NOW series - temporarily laid off (Y7-Y7j) 34 3. Assigned UNEMPLOYED series (Y9-Y10h) 200 4. Assigned RETIRED series (Y11-Y12j) 50 5. Assigned PERMANENTLY DISABLED series (Y13-Y14j) 146 6. Assigned HOMEMAKER series (Y15-Y16j) 112 7. Assigned STUDENT series (Y15-Y16j) 7 9. NA ============================== VAR 980579 Y6.SUMMARY R EMPLOYMENT STATUS- FULL COLUMNS 1123 - 1124 NUMERIC MD GE 99 Y6. Please look at page 23 of the booklet. We'd like to know if YOU are working now, temporarily laid off, or are you unemployed, retired, permanently disabled, a homemaker, a student, or what? R EMPLOYMENT STATUS SUMMARY - FULL --------------------------------------------------------------------- See notes Y5; Built using Y5, Y12g, Y14g, Y15, Y7e. This is a summary which describes R's occupation status as categorized AFTER all information has been collected. 716 10. WORKING NOW only 13 15. WORKING NOW and retired (R volunteers), currently working 20 or more hours per week 16. WORKING NOW and permanently disabled, currently working 20 or more hours per week 4 17. WORKING NOW and homemaker (R volunteers), currently working 20 or more hours per week 6 18. WORKING NOW and student (R volunteers), currently working 20 or more hours per week 16 20. TEMPORARILY LAID OFF 34 40. UNEMPLOYED 173 50. RETIRED, no other occupation 14 51. RETIRED and working now (R volunteers), currently working fewer than 20 hours per week 50 60. PERMANENTLY DISABLED, not working 61. PERMANENTLY DISABLED and working now, currently working fewer than 20 hours per week 134 70. HOMEMAKER, no other occupation 6 71. HOMEMAKER and working now (R volunteers), currently working fewer than 20 hours per week 2 75. HOMEMAKER and student (R volunteers), no other occupation 97 80. STUDENT, no other occupation 9 81. STUDENT and working now (R volunteers), currently working fewer than 20 hours per week 7 99. NA ============================== VAR 980579a Y7.SUMM R EMPLOYMENT STATUS 1 CATEGORY COLUMNS 1125 - 1125 NUMERIC MD GE 9 Y7. Please look at page 23 of the booklet. We'd like to know if YOU are working now, temporarily laid off, or are you unemployed, retired, permanently disabled, a homemaker, a student, or what? R EMPLOYMENT STATUS SUMMARY - 1 CATEGORY --------------------------------------------------------------------- Built from Y6. See Y6. 739 1. R WORKING NOW (working now or working 20 hours or more per week if also retired, permanently disabled, homemaker or student 16 2. R TEMPORARILY LAID OFF [20 in Y6] 34 4. R UNEMPLOYED [40 in Y6] 187 5. R RETIRED, not working or working fewer than 20 hours per week [50,51 in Y6] 50 6. R PERMANENTLY DISABLED, not working or working fewer than 20 hours per week [60,61 in Y6] 142 7. R HOMEMAKER, not working or working fewer than 20 hours per week (also nonworking Rs who are both 106 8. R STUDENT, not working or working fewer than 20 hours per week ([80,81 in Y6] 7 9. NA ============================== VAR 980580 Y9.R UNEMP: EVER WORKED FOR PAY COLUMNS 1126 - 1126 NUMERIC MD EQ 0, GE 8 Y9. IF R IS CATEGORY UNEMPLOYED IN Y6: Have you ever done any work for pay? --------------------------------------------------------------------- The stacked version of this question is at RC11, at end of R employment section. 31 1. Yes 1 5. No 8. DK 2 9. NA; RF 1247 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR 980581 Y10/Y10a.R UNEMPL:PAST OCC CODE (2 DIG) COLUMNS 1127 - 1128 NUMERIC MD EQ 0, GE 98 Y10/Y10a. IF R IS CATEGORY UNEMPLOYED IN Y6: IF R HAS EVER WORKED FOR PAY: What kind of work did you do on your last regular job? (What was your occupation) Y10a. What were your most important duties or activities? CENSUS OCCUPATION CODE (2-DIGIT RECODE) --------------------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9 ============================== VAR 980581a Y10x(1).R UNEMPL:PAST OCCUP (BLANKED) COLUMNS 1129 - 1129 NUMERIC MD EQ 0, GE 998 Y10x(1). IF R IS CATEGORY UNEMPLOYED IN Y6: IF R HAS EVER WORKED FOR PAY: What kind of work did you do on your last regular job? (What was your occupation) Y10a. What were your most important duties or activities? CENSUS OCCUPATION - FULL 3-DIGIT CODE --------------------------------------------------------------------- This variable has been coded missing 0 to preserve confidentiality. The stacked version of this question is at RC1, at end of R employment section. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. 998. DK 999. NA 000. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9 ============================== VAR 980582 Y10x(2).R UNEMPL:PAST OCC COLL (1 DIG) COLUMNS 1130 - 1131 NUMERIC MD EQ 0, GE 98 Y10x(2). IF R IS CATEGORY UNEMPLOYED IN Y6: IF R HAS EVER WORKED FOR PAY: What kind of work did you do on your last regular job? (What was your occupation) Y10a. What were your most important duties or activities? CENSUS OCCUPATION - COLLAPSED (1 DIGIT CODE) --------------------------------------------------------------------- 4 1. Executive, Administrative and Managerial (Census categories 001-039) 2 2. Professional Specialty Occupations (Census categories 040-199) 2 3. Technicians and Related Support Occupations (Census categories 200-235) 4 4. Sales Occupation (Census categories 236-285) 4 5. Administrative Support, including clerical (Census categories 286-389) 6. Private Household (Census categories 403-407) 7. Protective Service (Census categories 408-427) 7 8. Service except Protective and Household (Census categories 428-469) 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 2 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 3 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 2 12. Transportation and Material Moving Occupations (Census categories 800-859) 1 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of Armed Forces (Census category 900) 98. DK 99. NA 1250 00. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9 ============================== VAR 980583 Y10x(3).R UNEMPL:PAST OCCUP PRESTIge COLUMNS 1132 - 1132 NUMERIC MD EQ 0, GE 99.99 Y10x(3). IF R IS CATEGORY UNEMPLOYED IN Y6: IF R HAS EVER WORKED FOR PAY: What kind of work did you do on your last regular job? (What was your occupation) Y10a. What were your most important duties or activities? OCCUPATION PRESTIGE SCORE --------------------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been coded 0 missing to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 99.99. 98,99 in Y10/Y10a 00.00. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9 ============================== VAR 980584 Y10b.R UNEMP: PAST INDUSTRY CODE COLUMNS 1133 - 1135 NUMERIC MD EQ 0, GE 998 Y10b. IF R IS CATEGORY UNEMPLOYED IN Y6: IF R HAS EVER WORKED FOR PAY: What kind of (business/industry) was that? CENSUS INDUSTRY CODE --------------------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9 ============================== VAR 980585 Y10c.R UNEMP: PAST SELF EMPLOYED COLUMNS 1136 - 1136 NUMERIC MD EQ 0, GE 8 Y10c. IF R IS CATEGORY UNEMPLOYED IN Y6: IF R HAS EVER WORKED FOR PAY: Did you work for someone else, were you self-employed, or what? --------------------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. 30 1. Someone else 3. Both someone else and self 1 5. Self employed 8. DK 9. NA 1250 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR 980586 Y10d.R UNEMP: PAST EMPLOYED BY GOVT COLUMNS 1137 - 1137 NUMERIC MD EQ 0, GE 8 Y10d. IF R IS CATEGORY UNEMPLOYED IN Y6: IF R HAS EVER WORKED FOR PAY: IF R WORKED NOT EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? --------------------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. 7 1. Yes 23 5. No 8. DK 9. NA 1251 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9; 3,8,9 in Y10c ============================== VAR 980587 Y10e.R UNEMP: WORK LAST 6 MONTHS COLUMNS 1138 - 1138 NUMERIC MD EQ 0, GE 8 Y10e. IF R IS CATEGORY UNEMPLOYED IN Y6: IF R HAS EVER WORKED FOR PAY: Have you had a job in the last SIX months? --------------------------------------------------------------------- The stacked version of this question is at RC9, at end of R employment section. 18 1. Yes 13 5. No 8. DK 9. NA 1250 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR 980588 Y10f.R UNEMP: HRS/WK WORK 6 MONTHS COLUMNS 1139 - 1140 NUMERIC MD EQ 0, GE 98 Y10f. IF R IS CATEGORY UNEMPLOYED IN Y6: IF R HAS EVER WORKED FOR PAY: IF R HAS WORKED FOR PAY IN THE LAST 6 MONTHS: About how many hours did you work on your job in the average week? --------------------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Number of hours, 1-96 and: 97. 97 or more hours 98. DK 99. NA 00. INAP, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y10e ============================== VAR 980589 Y10g.R UNEMP: LOOKING FOR WORK NOW COLUMNS 1141 - 1141 NUMERIC MD EQ 0, GE 8 Y10g. IF R IS CATEGORY UNEMPLOYED IN Y6: IF R HAS EVER WORKED FOR PAY: Are you looking for work at the present time? --------------------------------------------------------------------- The stacked version of this question is at RC10, at end of R employment section. 26 1. Yes 5 5. No 8. DK 9. NA; RF 1250 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR 980590 Y10h.R UNEMP: WORRY ABOUT FIND JOB COLUMNS 1142 - 1142 NUMERIC MD EQ 0, GE 8 Y10h. IF R IS CATEGORY UNEMPLOYED IN Y6: IF R HAS EVER WORKED FOR PAY: How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? --------------------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. 13 1. A lot 11 3. Somewhat 7 5. Not much at all 8. DK 9. NA 1250 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR 980591 Y11.R RETIRED: MONTH OF RETIREMENT COLUMNS 1143 - 1144 NUMERIC MD EQ 0, GE 98 Y11. IF R IS ANY RETIRED CATEGORY IN Y6: When did you retire? (MONTH) --------------------------------------------------------------------- 26 1. January 7 2. February 15 3. March 20 4. April 17 5. May 36 6. June 13 7. July 20 8. August 7 9. September 7 10. October 6 11. November 13 12. December 12 98. DK 1 99. NA; RF 1081 00. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR 980592 Y11a.R RETIRED: YEAR OF RETIREMENT COLUMNS 1145 - 1148 NUMERIC MD EQ 0, GE 9998 Y11a. IF R IS ANY RETIRED CATEGORY IN Y6: When did you retire? (YEAR) --------------------------------------------------------------------- 4-digit year of retirement, And: 9998. DK 9999. NA 0000. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR 980593 Y12/Y12a.R RETIRED:PAST OCC CODE (2 DIG) COLUMNS 1149 - 1150 NUMERIC MD EQ 0, GE 98 Y12/Y12a. IF R IS ANY RETIRED CATEGORY IN Y6: Y12. What kind of work did you do on your last regular job? (What was your occupation)? Y12a. What were your most important duties or activities? CENSUS OCCUPATION CODE (2-DIGIT RECODE) --------------------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR 980593a Y12x(1).R RETIRED:PAST OCCUP (BLANKED) COLUMNS 1151 - 1151 NUMERIC MD EQ 0, GE 998 Y12x(1). IF R IS ANY RETIRED CATEGORY IN Y6: Y12. What kind of work did you do on your last regular job? (What was your occupation)? Y12a. What were your most important duties or activities? CENSUS OCCUPATION - FULL 3-DIGIT CODE --------------------------------------------------------------------- This variable has been code 0 missing to preserve confidentiality. The stacked version of this question is at RC1, at end of R employment section. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. 998. DK 999. NA 000. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR 980594 Y12x(2).R RETIRD:PAST OCC COLLAP (1 DIG) COLUMNS 1152 - 1153 NUMERIC MD EQ 0, GE 98 Y12x(2). IF R IS ANY RETIRED CATEGORY IN Y6: Y12. What kind of work did you do on your last regular job? (What was your occupation)? Y12a. What were your most important duties or activities? CENSUS OCCUPATION - COLLAPSED (1 DIGIT CODE) --------------------------------------------------------------------- 32 1. Executive, Administrative and Managerial (Census categories 001-039) 37 2. Professional Specialty Occupations (Census categories 040-199) 6 3. Technicians and Related Support Occupations (Census categories 200-235) 13 4. Sales Occupation (Census categories 236-285) 43 5. Administrative Support, including clerical (Census categories 286-389) 1 6. Private Household (Census categories 403-407) 6 7. Protective Service (Census categories 408-427) 13 8. Service except Protective and Household (Census categories 428-469) 2 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 23 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 16 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 4 12. Transportation and Material Moving Occupations (Census categories 800-859) 2 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 1 14. Member of Armed Forces (Census category 900) 1 98. DK 99. NA 1081 00. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR 980595 Y12x(3).R RETIRED:PAST OCCUP PRESTIge COLUMNS 1154 - 1154 NUMERIC MD EQ 0, GE 99.99 Y12x(3). IF R IS ANY RETIRED CATEGORY IN Y6: Y12. What kind of work did you do on your last regular job? (What was your occupation)? Y12a. What were your most important duties or activities? OCCUPATION PRESTIGE SCORE --------------------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-univeristy Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been coded 0 missing to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 99.99. 98,99 in Y12/Y12a 00.00. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR 980596 Y12b.R RET: INDUSTRY CODE COLUMNS 1155 - 1157 NUMERIC MD EQ 0, GE 998 Y12b. IF R IS ANY RETIRED CATEGORY IN Y6: What kind of (business/industry) was that? CENSUS INDUSTRY CODE --------------------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR 980597 Y12c.R RET: SELF EMPLOYED COLUMNS 1158 - 1158 NUMERIC MD EQ 0, GE 8 Y12c. IF R IS ANY RETIRED CATEGORY IN Y6: Did you work for someone else, were you self-employed, or what? --------------------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. 172 1. Someone else 3 3. Both someone else and self 25 5. Self employed only 8. DK 9. NA 1081 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR 980598 Y12d.R RET: EMPLOYED BY GOVT COLUMNS 1159 - 1159 NUMERIC MD EQ 0, GE 8 Y12d. IF R IS ANY RETIRED CATEGORY IN Y6: IF R DID NOT WORK EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? --------------------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. 56 1. Yes 118 5. No 1 8. DK 9. NA 1106 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 3,8,9 in Y12c ============================== VAR 980599 Y12e.R RET: WORK LAST 6 MONTHS COLUMNS 1160 - 1160 NUMERIC MD EQ 0, GE 8 Y12e. IF R IS ANY RETIRED CATEGORY IN Y6: Have you had a job in the last SIX months? --------------------------------------------------------------------- The stacked version of this question is at RC9, at end of R employment section. 28 1. Yes 172 5. No 8. DK 9. NA 1081 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR 980600 Y12f.R RET: HOURS/WK WORK 6 MNTHS COLUMNS 1161 - 1162 NUMERIC MD EQ 0, GE 98 Y12f. IF R IS ANY RETIRED CATEGORY IN Y6: IF R HAS WORKED IN PAST 6 MONTHS: About how many hours did you work on your job in the average week? --------------------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Number of hours worked, 1-96 and: 97. 97 or more hours 98. DK 99. NA 00. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y12e ============================== VAR 980601 Y12g.R RET: WORKING FOR PAY NOW COLUMNS 1163 - 1163 NUMERIC MD EQ 0, GE 8 Y12g. IF R IS ANY RETIRED CATEGORY IN Y6: Are you doing any work for pay at the present time? --------------------------------------------------------------------- Note: Rs who respond "yes" to this question are also asked the WORKING NOW series for current employment. 27 1. Yes 173 5. No 8. DK 9. NA 1081 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR 980602 Y12h.R RET: LOOKING FOR WORK NOW COLUMNS 1164 - 1164 NUMERIC MD EQ 0, GE 8 Y12h. IF R IS ANY RETIRED CATEGORY IN Y6: IF R IS NOT DOING ANY WORK FOR PAY AT PRESENT: Are you looking for work at the present time? --------------------------------------------------------------------- The stacked version of this question is at RC10, at end of R employment section. 5 1. Yes 168 5. No 8. DK 9. NA 1108 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 1 in Y12g ============================== VAR 980603 Y12j.R RET: WORRY ABOUT FINDING JOB COLUMNS 1165 - 1165 NUMERIC MD EQ 0, GE 8 Y12j. IF R IS ANY RETIRED CATEGORY IN Y6: IF R IS NOT DOING ANY WORK FOR PAY AT PRESENT: How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? --------------------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. 3 1. A lot 3 3. Somewhat 166 5. Not much 1 8. DK 9. NA 1108 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 1 in Y12g ============================== VAR 980604 Y13.R DISABLED: EVER WORKED FOR PAY COLUMNS 1166 - 1166 NUMERIC MD EQ 0, GE 8 Y13. IF R IS ANY DISABLED CATEGORY IN Y6: Have you ever done any work for pay? --------------------------------------------------------------------- The stacked version of this question is at RC11, at end of R employment section. 45 1. Yes 3 5. No 8. DK 2 9. NA 1231 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR 980605 Y14/Y14a.R DISABLED:PAST OCCUP CODE COLUMNS 1167 - 1168 NUMERIC MD EQ 0, GE 98 Y14/Y14a. IF R IS ANY DISABLED CATEGORY IN Y6: IF R HAS EVER WORKED FOR PAY: Y14. What kind of work did you do on your last regular job? (What was your occupation) Y14a. What were your most important duties or activities? CENSUS OCCUPATION CODE (2-DIGIT RECODE) --------------------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13 ============================== VAR 980605a Y14x(1).R DISABLED:PAST OCC CODE (BLANK) COLUMNS 1169 - 1169 NUMERIC MD EQ 0, GE 998 Y14x(1). IF R IS ANY DISABLED CATEGORY IN Y6: IF R HAS EVER WORKED FOR PAY: Y14. What kind of work did you do on your last regular job? (What was your occupation) Y14a. What were your most important duties or activities? CENSUS OCCUPATION - FULL 3-DIGIT CODE --------------------------------------------------------------------- This variable has been coded 0 missing to preserve confidentiality. The stacked version of this question is at RC1, at end of R employment section. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. 998. DK 999. NA 000. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13 ============================== VAR 980606 Y14x(2).R DISABLED:PAST OCC COLL (1 DIG) COLUMNS 1170 - 1171 NUMERIC MD EQ 0, GE 98 Y14x(2). IF R IS ANY DISABLED CATEGORY IN Y6: IF R HAS EVER WORKED FOR PAY: Y14. What kind of work did you do on your last regular job? (What was your occupation) Y14a. What were your most important duties or activities? CENSUS OCCUPATION - COLLAPSED (1 DIGIT CODE) --------------------------------------------------------------------- 3 1. Executive, Administrative and Managerial (Census categories 001-039) 3 2. Professional Specialty Occupations (Census categories 040-199) 1 3. Technicians and Related Support Occupations (Census categories 200-235) 5 4. Sales Occupation (Census categories 236-285) 8 5. Administrative Support, including clerical (Census categories 286-389) 6. Private Household (Census categories 403-407) 7. Protective Service (Census categories 408-427) 10 8. Service except Protective and Household (Census categories 428-469) 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 8 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 3 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 3 12. Transportation and Material Moving Occupations (Census categories 800-859) 1 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of Armed Forces (Census category 900) 98. DK 99. NA 1236 00. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13 ============================== VAR 980607 Y14x(3).R DISABLED:PAST OCCUP PRESTIge COLUMNS 1172 - 1172 NUMERIC MD EQ 0, GE 99.99 Y14x(3). IF R IS ANY DISABLED CATEGORY IN Y6: IF R HAS EVER WORKED FOR PAY: Y14. What kind of work did you do on your last regular job? (What was your occupation) Y14a. What were your most important duties or activities? OCCUPATION PRESTIGE SCORE --------------------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been coded 0 missing to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 99.99. 98,99 in Y14/Y14a 00.00. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13 ============================== VAR 980608 Y14b.R DIS: INDUSTRY CODE COLUMNS 1173 - 1175 NUMERIC MD EQ 0, GE 998 Y14b. IF R IS ANY DISABLED CATEGORY IN Y6: IF R HAS EVER WORKED FOR PAY: What kind of (business/industry) was that? CENSUS INDUSTRY CODE --------------------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13 ============================== VAR 980609 Y14c.R DIS: SELF EMPLOYED COLUMNS 1176 - 1176 NUMERIC MD EQ 0, GE 8 Y14c. IF R IS ANY DISABLED CATEGORY IN Y6: IF R HAS EVER WORKED FOR PAY: Did you work for someone else, were you self-employed, or what? --------------------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. 41 1. Someone else 3. Both someone else and self 4 5. Self-employed 8. DK 9. NA 1236 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13 ============================== VAR 980610 Y14d.R DIS: WORK FOR GOVT COLUMNS 1177 - 1177 NUMERIC MD EQ 0, GE 8 Y14d. IF R IS ANY DISABLED CATEGORY IN Y6: IF R HAS EVER WORKED FOR PAY: IF R WORKED NOT EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? --------------------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. 6 1. Yes 35 5. No 8. DK 9. NA 1240 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 3,8,9 in Y14c ============================== VAR 980611 Y14e.R DIS: WORK LAST 6 MONTHS COLUMNS 1178 - 1178 NUMERIC MD EQ 0, GE 8 Y14e. IF R IS ANY DISABLED CATEGORY IN Y6: IF R HAS EVER WORKED FOR PAY: Have you had a job in the last SIX months? --------------------------------------------------------------------- The stacked version of this question is at RC9, at end of R employment section. 1 1. Yes 44 5. No 8. DK 9. NA 1236 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13 ============================== VAR 980612 Y14f.R DIS: HOURS/WK WORK 6 MNTHS COLUMNS 1179 - 1179 NUMERIC MD EQ 0, GE 98 Y14f. IF R IS ANY DISABLED CATEGORY IN Y6: IF R HAS EVER WORKED FOR PAY: IF R HAS WORKED IN THE PAST 6 MONTHS: About how many hours did you work on your job in the average week? --------------------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Number of hours, 1-96 and: 97. 97 hours or more 98. DK 99. NA 00. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13; 5,8,9 in Y14e ============================== VAR 980613 Y14g.R DIS: WORKING FOR PAY NOW COLUMNS 1180 - 1180 NUMERIC MD EQ 0, GE 8 Y14g. IF R IS ANY DISABLED CATEGORY IN Y6: IF R HAS EVER WORKED FOR PAY: IF R HAS WORKED IN THE PAST 6 MONTHS: Are you doing any work for pay at the present time? --------------------------------------------------------------------- Note: Rs who respond "yes" to this question are also asked the WORKING NOW series for current employment. 1. Yes 1 5. No 8. DK 9. NA 1280 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 5,8,9 in Y14e ============================== VAR 980614 Y14h.R DIS: LOOKING FOR WORK NOW COLUMNS 1181 - 1181 NUMERIC MD EQ 0, GE 8 Y14h. IF R IS ANY DISABLED CATEGORY IN Y6: IF R HAS EVER WORKED FOR PAY: IF R HAS NOT HAD A JOB IN THE LAST 6 MONTHS: Are you looking for work at the present time? --------------------------------------------------------------------- The stacked version of this question is at RC10, at end of R employment section. 1 1. Yes 43 5. No 8. DK 9. NA 1237 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 1 in Y14g ============================== VAR 980615 Y14j.R DIS: WORRY ABOUT FINDING JOB COLUMNS 1182 - 1182 NUMERIC MD EQ 0, GE 8 Y14j. IF R IS ANY DISABLED CATEGORY IN Y6: IF R HAS EVER WORKED FOR PAY: IF R HAS NOT HAD A JOB IN THE LAST 6 MONTHS: How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? --------------------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. 4 1. A lot 4 3. Somewhat 36 5. Not much 8. DK 9. NA 1237 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 1 in Y14g ============================== VAR 980616 Y15.R HOMEMAKER/STDNT: WORK FOR PAY COLUMNS 1183 - 1183 NUMERIC MD EQ 0, GE 8 Y15. IF R IS ANY HOMEMAKER/STUDENT CATEGORY IN Y6: Are you doing ANY work for pay at the present time? --------------------------------------------------------------------- 117 1. Yes 141 5. No 8. DK 9. NA 1023 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6 ============================== VAR 980617 Y15a.R HMK/STU: WORK LAST 6 MONTHS COLUMNS 1184 - 1184 NUMERIC MD EQ 0, GE 8 Y15a. IF R IS HOMEMAKER/STUDENT AND NOT WORKING FOR PAY AT PRESENT: In the last six months, did you do any work for pay? --------------------------------------------------------------------- 40 1. Yes 101 5. No 8. DK 9. NA 1140 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1,9 in Y15 ============================== VAR 980618 Y16/Y16a.R HMK/STU:OCCUP CODE COLUMNS 1185 - 1186 NUMERIC MD EQ 0, GE 98 Y16/Y16a. IF R IS HOMEMAKER/STUDENT AND NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: Y16. What kind of work did you do on your last regular job? (What was your occupation) Y16a. What were your most important duties or activities? CENSUS OCCUPATION CODE (2-DIGIT RECODE) --------------------------------------------------------------------- The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1,9 in Y15; 5,8,9 in Y15a ============================== VAR 980618a Y16x(1).R HMK/STU:PAST OCC CODE (BLANK) COLUMNS 1187 - 1187 NUMERIC MD EQ 0, GE 998 Y16x(1). IF R IS HOMEMAKER/STUDENT AND NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: Y16. What kind of work did you do on your last regular job? (What was your occupation) Y16a. What were your most important duties or activities? CENSUS OCCUPATION - FULL 3-DIGIT CODE --------------------------------------------------------------------- This variable has been coded 0 missing to preserve confidentiality. The stacked version of this question is at RC1, at end of R employment section. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. 998. DK 999. NA 000. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1,9 in Y15; 5,8,9 in Y15a ============================== VAR 980619 Y16x(2).R HMK/STU:PAST OCC COLL (1 DIG) COLUMNS 1188 - 1189 NUMERIC MD EQ 0, GE 98 Y16x(2). IF R IS HOMEMAKER/STUDENT AND NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: Y16. What kind of work did you do on your last regular job? (What was your occupation) Y16a. What were your most important duties or activities? CENSUS OCCUPATION - COLLAPSED (1 DIGIT CODE) --------------------------------------------------------------------- 4 1. Executive, Administrative and Managerial (Census categories 001-039) 7 2. Professional Specialty Occupations (Census categories 040-199) 4 3. Technicians and Related Support Occupations (Census categories 200-235) 4 4. Sales Occupation (Census categories 236-285) 6 5. Administrative Support, including clerical (Census categories 286-389) 1 6. Private Household (Census categories 403-407) 2 7. Protective Service (Census categories 408-427) 3 8. Service except Protective and Household (Census categories 428-469) 2 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 2 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 2 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 1 12. Transportation and Material Moving Occupations (Census categories 800-859) 2 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of Armed Forces (Census category 900) 98. DK 99. NA 1241 00. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1,9 in Y15; 5,8,9 in Y15a ============================== VAR 980620 Y16x(3).R HMK/STU:PAST OCCUP PRESTIge COLUMNS 1190 - 1190 NUMERIC MD EQ 0, GE 99.99 Y16x(3). IF R IS HOMEMAKER/STUDENT AND NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: Y16. What kind of work did you do on your last regular job? (What was your occupation) Y16a. What were your most important duties or activities? OCCUPATION PRESTIGE SCORE --------------------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been coded 0 missing to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 99.99. 98,99 in Y16/Y16a 00.00. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1,9 in Y15; 5,8,9 in Y15a ============================== VAR 980621 Y16b.R HMK/STU: INDUSTRY CODE COLUMNS 1191 - 1193 NUMERIC MD EQ 0, GE 998 Y16b. IF R IS HOMEMAKER/STUDENT AND NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: What kind of (business/industry) was that? CENSUS INDUSTRY CODE --------------------------------------------------------------------- See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1,9 in Y15; 5,8,9 in Y15a ============================== VAR 980622 Y16c.R HMK/STU: SELF EMPLOYED COLUMNS 1194 - 1194 NUMERIC MD EQ 0, GE 8 Y16c. IF R IS HOMEMAKER/STUDENT AND NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: Did you work for someone else, were you self-employed, or what? --------------------------------------------------------------------- 37 1. Someone else 3. Both someone else and self 3 5. Self-employed 8. DK 9. NA 1241 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1,9 in Y15; 5,8,9 in Y15a ============================== VAR 980623 Y16d.R HMK/STU: WORKED FOR GOVT COLUMNS 1195 - 1195 NUMERIC MD EQ 0, GE 8 Y16d. IF R IS HOMEMAKER/STUDENT AND NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: IF R WAS NOT SELF-EMPLOYED ONLY: Were you employed by a federal, state, or local government? --------------------------------------------------------------------- 6 1. Yes 31 5. No 8. DK 9. NA 1244 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1,9 in Y15; 5,8,9 in Y15a; 3,8,9 in Y16c ============================== VAR 980624 Y16f.R HMK/STU: HRS/WK WRK LST 6 MO COLUMNS 1196 - 1197 NUMERIC MD EQ 0, GE 98 Y16f. IF R IS HOMEMAKER/STUDENT AND NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: About how many hours did you work on your job in the average week? --------------------------------------------------------------------- Number of hours worked 1-96 and: 97. 97 hours or more 98. DK 99. NA 00. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1,9 in Y15; 5,8,9 in Y15a ============================== VAR 980625 Y16h.R HMK STU: LOOKING FOR WORK COLUMNS 1198 - 1198 NUMERIC MD EQ 0, GE 8 Y16h. IF R IS HOMEMAKER/STUDENT AND NOT WORKING FOR PAY AT PRESENT: Are you looking for work at the present time? --------------------------------------------------------------------- 26 1. Yes 115 5. No 8. DK 9. NA 1140 0. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1,9 in Y15 ============================== VAR 980626 Y16j.R HMK/STU:WORRY ABT FINDNG JOB COLUMNS 1199 - 1199 NUMERIC MD EQ 0, GE 8 Y16j. IF R IS HOMEMAKER/STUDENT AND NOT WORKING FOR PAY AT PRESENT: How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? --------------------------------------------------------------------- 13 1. A lot 27 3. Somewhat 99 5. Not much 2 8. DK 9. NA 1140 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1,9 in Y15 ============================== VAR 980627 Y7/Y7a.R WORK NOW:OCCUP CODE COLUMNS 1200 - 1201 NUMERIC MD EQ 0, GE 98 Y7/Y7a. IF R IS IN ANY WORKING/ TEMPORARILY LAID OFF CATEGORY IN Y6: Y7. What is your main occupation? (What sort of work do you do?) Y7a. What are your most important activities or duties? CENSUS OCCUPATION CODE (2-DIGIT RECODE) --------------------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR 980627a Y7x(1).R WORK NOW:OCCUP CODE (BLANK) COLUMNS 1202 - 1202 NUMERIC MD EQ 0, GE 998 Y7x(1). IF R IS IN ANY WORKING/ TEMPORARILY LAID OFF CATEGORY IN Y6: Y7. What is your main occupation? (What sort of work do you do?) Y7a. What are your most important activities or duties? CENSUS OCCUPATION - FULL 3-DIGIT CODE --------------------------------------------------------------------- This variable has been coded 0 missing to preserve confidentiality. The stacked version of this question is at RC1, at end of R employment section. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. 998. DK 999. NA 000. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR 980628 Y7x(2).R WORK NOW:OCC COLLAP (1 DIGIT) COLUMNS 1203 - 1204 NUMERIC MD EQ 0, GE 98 Y7x(2). IF R IS IN ANY WORKING/ TEMPORARILY LAID OFF CATEGORY IN Y6: Y7. What is your main occupation? (What sort of work do you do?) Y7a. What are your most important activities or duties? CENSUS OCCUPATION - COLLAPSED (1 DIGIT CODE) --------------------------------------------------------------------- 115 1. Executive, Administrative and Managerial (Census categories 001-039) 159 2. Professional Specialty Occupations (Census categories 040-199) 30 3. Technicians and Related Support Occupations (Census categories 200-235) 86 4. Sales Occupation (Census categories 236-285) 107 5. Administrative Support, including clerical (Census categories 286-389) 5 6. Private Household (Census categories 403-407) 18 7. Protective Service (Census categories 408-427) 75 8. Service except Protective and Household (Census categories 428-469) 8 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 73 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 31 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 41 12. Transportation and Material Moving Occupations (Census categories 800-859) 19 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 7 14. Member of Armed Forces (Census category 900) 98. DK 10 99. NA 497 00. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR 980629 Y7x(3).R WORK NOW:OCCUP PRESTIge COLUMNS 1205 - 1205 NUMERIC MD EQ 0, GE 99.99 Y7x(3). IF R IS IN ANY WORKING/ TEMPORARILY LAID OFF CATEGORY IN Y6: Y7. What is your main occupation? (What sort of work do you do?) Y7a. What are your most important activities or duties? OCCUPATION PRESTIGE SCORE --------------------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been coded 0 missing to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 99.99. 98,99 in Y7/Y7a 00.00. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR 980630 Y7b.R WORK NOW: INDUSTRY CODE COLUMNS 1206 - 1208 NUMERIC MD EQ 0, GE 998 Y7b. IF R IS IN ANY WORKING/ TEMPORARILY LAID OFF CATEGORY IN Y6: What kind of (business/industry) is that? CENSUS INDUSTRY CODE --------------------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR 980631 Y7c.R WORK NOW: SELF EMPLOYED COLUMNS 1209 - 1209 NUMERIC MD EQ 0, GE 8 Y7c. IF R IS IN ANY WORKING/ TEMPORARILY LAID OFF CATEGORY IN Y6: Do you work for someone else, are you self-employed, or what? --------------------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. 647 1. Someone else 19 3. Both someone else and self 118 5. Self employed 8. DK 9. NA; RF 497 0. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR 980632 Y7d.R WORK NOW: WORK FOR GOVT COLUMNS 1210 - 1210 NUMERIC MD EQ 0, GE 8 Y7d. IF R IS IN ANY WORKING/ TEMPORARILY LAID OFF CATEGORY IN Y6: IF R DOES NOT WORK EXCLUSIVELY FOR SELF: Are you employed by a federal, state or local government? --------------------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. 150 1. Yes 514 5. No 2 8. DK 9. NA 615 0. Inap, 40, 50, 60, 70, 75, 80 in Y6; 3,8,9 in Y7c ============================== VAR 980633 Y7e.R WORK NOW: HOURS WORK/WEEK COLUMNS 1211 - 1212 NUMERIC MD EQ 0, GE 98 Y7e. IF R IS IN ANY WORKING/ TEMPORARILY LAID OFF CATEGORY IN Y6: About how many hours do you work on your job in the average week? --------------------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Codes 1-96 and: 97. 97 hours or more 98. DK 99. NA; RF 00. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR 980634 Y7f.R WORK NOW: SATISFIED W/# HOURS COLUMNS 1213 - 1213 NUMERIC MD EQ 0, GE 8 Y7f. IF R IS IN ANY WORKING/ TEMPORARILY LAID OFF CATEGORY IN Y6: Is that MORE hours than you want to work, FEWER hours than you want to work, or generally ABOUT RIGHT? --------------------------------------------------------------------- 218 1. More 65 3. Fewer 496 5. About right 8. DK 1 9. NA; RF 501 0. Inap, 40, 50, 60, 70, 75, 80 in Y6; 98,99 in Y7e ============================== VAR 980635 Y7g.R WORK NOW: WORRY ABT LSING JOB COLUMNS 1214 - 1214 NUMERIC MD EQ 0, GE 8 Y7g. IF R IS IN ANY WORKING/ TEMPORARILY LAID OFF CATEGORY IN Y6: How worried are you about losing your job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? --------------------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. 47 1. A lot 113 3. Somewhat 624 5. Not much at all 8. DK 9. NA; RF 497 0. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR 980636 Y7h.R WORK NOW: OUT WORK LAST 6 MO COLUMNS 1215 - 1215 NUMERIC MD EQ 0, GE 8 Y7h. IF R IS IN ANY WORKING CATEGORY IN Y6: Were you out of work or laid off at any time during the last six months? --------------------------------------------------------------------- 63 1. Yes 704 5. No 8. DK 1 9. NA; RF 513 0. Inap, 20, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR 980637 Y7j.R WORK NOW: HRS REDCD LAST 6 MO COLUMNS 1216 - 1216 NUMERIC MD EQ 0, GE 8 Y7j. IF R IS IN ANY WORKING CATEGORY IN Y6: 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? --------------------------------------------------------------------- 53 1. Yes 714 5. No 8. DK 1 9. NA 513 0. Inap, 20, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR 980638 RC1.STACKED OCCUPATION CODE COLUMNS 1217 - 1218 NUMERIC MD EQ 0, GE 98 RC1. IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What is/was your main occupation? What sort of work do/did you do? What are/were your most important activities or duties? STACKED- R 2-DIGIT OCCUPATION CODE --------------------------------------------------------------------- See notes Y4. Built from Y7/Y7a, Y10/Y10a, Y12/Y12a, Y14/Y14a. This variable combines employment data for all Rs except nonworking homemakers and students. The disabled and homemakers or students who are also currently working have their current occupation from Y7/Y7a coded here. Retirees who are also currently working have past occupation from Y12/Y12a coded here rather than current occupation in Y7/Y7a. The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. See CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR 980638a RC1a.STACKED OCCUPATION CODE (BLANKED) COLUMNS 1219 - 1219 NUMERIC MD GE 998 RC1a. IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What is/was your main occupation? What sort of work do/did you do? What are/were your most important activities or duties? STACKED- FULL 3-DIGIT CENSUS OCCUPATION CODE --------------------------------------------------------------------- See notes Y4. This variable has been blanked to preserve confidentiality. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. 998. DK 999. NA 000. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR 980639 RC2.STACKED OCCUPATION COLLAPSED COLUMNS 1220 - 1221 NUMERIC MD EQ 0, GE 98 RC2. IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What is/was your main occupation? What sort of work do/did you do? What are/were your most important activities or duties? STACKED- R COLLAPSED CENSUS OCCUPATION CODE --------------------------------------------------------------------- See notes Y4. Built from Y7/Y7a, Y10/Y10a, Y12/Y12a, Y14/Y14a. This variable combines employment data for all Rs except nonworking homemakers and students. The disabled and homemakers or students who are also currently working have their current occupation from Y7/Y7a coded here. Retirees who are also currently working have past occupation from Y12/Y12a coded here rather than current occupation in Y7/Y7a. 153 1. Executive, Administrative and Managerial (Census categories 001-039) 199 2. Professional Specialty Occupations (Census categories 040-199) 38 3. Technicians and Related Support Occupations (Census categories 200-235) 108 4. Sales Occupation (Census categories 236-285) 157 5. Administrative Support, including clerical (Census categories 286-389) 6 6. Private Household (Census categories 403-407) 22 7. Protective Service (Census categories 408-427) 103 8. Service except Protective and Household (Census categories 428-469) 9 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 105 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 50 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 48 12. Transportation and Material Moving Occupations (Census categories 800-859) 23 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 8 14. Member of armed forces (900) 1 98. DK 3 99. NA 248 00. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR 980640 RC3.STACKED OCCUPATION PRESTIge COLUMNS 1222 - 1222 NUMERIC MD EQ 0, GE 99.99 RC3. IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What is/was your main occupation? What sort of work do/did you do? What are/were your most important activities or duties? STACKED- R PRESTIGE SCORE --------------------------------------------------------------------- See notes Y4. Prestige scores have been blanked in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the prestige scores. Built from Y7/Y7a, Y10/Y10a, Y12/Y12a, Y14/Y14a This variable combines employment data for all Rs except nonworking homemakers and students. The disabled and homemakers or students who are also currently working have data for their current occupation from Y7/Y7a coded here. Retirees who are also currently working have data for their past occupation from Y12/Y12a coded here rather than for current occupation from Y7/Y7a. 99.99. 98,99 in Y7/Y7a, Y10/Y10a, Y12/Y12a, or Y14/Y14a 00.00. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR 980641 RC4.STACKED INDUSTRY CODE COLUMNS 1223 - 1225 NUMERIC MD EQ 0, GE 998 RC4. IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What do/did they make or do where you work/ed? What kind of a business or industry is/was that? Built from Y7b, Y10b, Y12b, Y14b. This variable combines industry data for all Rs who are currently: - Employed or temp. laid off [current industry in Y7b], - Unemployed [past industry in Y10b], - Retired [past industry in Y12b, whether R is currently working or not], - Permanently disabled, not working [past industry in Y14b] Note that homemakers or students without current outside employment are coded 000 [Y16b data are NOT used]. The disabled and homemakers or students who are also currently working have industry data for their current occupation from Y7b coded here. Retirees who are also currently working have industry data for past occupation from Y12b coded here rather than for current occupation in Y7b. See CENSUS INDUSTRY Master Code. Codes 010-990 and: STACKED- R CENSUS INDUSTRY CODE --------------------------------------------------------------------- See notes Y4. Built from Y7b, Y10b, Y12b, Y14b This variable combines employment data for all Rs except nonworking homemakers and students. The disabled and homemakers or students who are also currently working have their current occupation from Yb coded here. Retirees who are also currently working have past occupation from Y12/Y12a coded here rather than current occupation in Y7/Y7a. 998. DK 999. NA 000. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR 980642 RC5.STACKED- R WORK FOR SELF/OTHERS COLUMNS 1226 - 1226 NUMERIC MD EQ 0, GE 8 RC5. IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / Do/did you work for someone else, are/were you self- employed, or what? STACKED- R SELF EMPLOYED --------------------------------------------------------------------- See notes Y4. Built from Y7c, Y10c, Y12c, Y14c This variable combines employment data for all Rs except nonworking homemakers and students. The disabled and homemakers or students who are also currently working have their current occupation from Y7c coded here. Retirees who are also currently working have past occupation from Y12/Y12a coded here rather than current occupation in Y7/Y7a. 870 1. Someone else 21 3. Both someone else and self 142 5. Self-employed 8. DK 9. NA 248 0. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR 980643 RC6.STACKED- R EMPLOYED BY GOVERNMENT COLUMNS 1227 - 1227 NUMERIC MD EQ 0, GE 8 RC6. IF R WORKED NOT EXCLUSIVELY FOR SELF and: IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / Are/were you employed by a federal, state or local government? STACKED- R EMPLOYED BY GOVERNMENT --------------------------------------------------------------------- See notes Y4. Built from Y7d, Y10d, Y12d, Y14d. This variable combines data for all Rs who are currently: - Employed or temp. laid off [current emp. in Y7d], - Unemployed [past emp. in Y10d], - Retired [past emp. in Y12d, whether R is currently working or not], - Permanently disabled, not working [past emp. in Y14d]. Note that homemakers or students without current outside employment are coded 0 [Y16d data are NOT used]. The disabled and homemakers or students who are also currently working have data for their current occupation from Y7d coded here. Retirees who are also currently working have data for past occupation from Y12d coded here rather than for current occupation in Y7d. 1. Yes 5. No 8. DK 9. NA 0. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 3,8,9 in Y7c, Y10c, Y12c or Y14c ============================== VAR 980644 RC7.STACKED- NUMBER OF HOURS WORKED COLUMNS 1228 - 1229 NUMERIC MD EQ 0, GE 98 RC7. IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED BUT HAS WORKED IN PAST 6 MONTHS: / IF R IS UNEMPLOYED BUT HAS WORKED IN PAST 6 MONTHS: / IF R IS DISABLED BUT HAS WORKED IN PAST 6 MONTHS: / About how many hours do/did you work on your job in the average week? STACKED- HOURS R WORKS/WORKED PER WEEK --------------------------------------------------------------------- See notes Y4. Built from Y7e, Y10f, Y12f, Y14f. This variable combines data for all Rs who have worked within the past six months and who are currently: - Employed or temp. laid off [present emp. in Y7e], - Unemployed [emp. within past 6 months in Y10f], - Retired [emp. within past 6 months in Y12f], - Permanently disabled [emp. within past 6 months in Y14f]. Note that homemakers or students without current outside employment are coded 00 [Y16f data are NOT used]. The disabled and homemakers or students who are also currently working have data for their current occupation from Y7e coded here. For retirees, since data for number of hours worked describes recent employment within past 6 months, this may in effect describe pre- retirement employment (e.g. very recent retirees), current employment (e.g. working retirees continuing a post-retirement job), or employment that is neither pre- retirement nor a current job. Number of hours worked, 1-96 and: 97. 97 or more hours 98. DK 99. NA 00. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 3,8,9 in Y10e, Y12e or Y14e ============================== VAR 980645 RC8.STACKED- WORRIED ABT LOS/FIND JOB COLUMNS 1230 - 1230 NUMERIC MD EQ 0, GE 8 RC8. IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED AND NOT CURRENTLY WORKING: / IF R IS UNEMPLOYED: / IF R IS DISABLED AND NOT CURRENTLY WORKING: / How worried are you about losing your job/ not being able to find a job in the near future: A LOT, SOMEWHAT, or NOT MUCH AT ALL? STACKED- R WORRIED ABOUT FINDING/LOSING JOB --------------------------------------------------------------------- See notes Y4. Built from Y7g, Y10h, Y12j, Y14j. This variable combines data for all Rs who are currently: - Employed or temp. laid off [Y7g], (including working retired and working disabled) - Unemployed [Y10h], - Retired and not working [Y12j], - Permanently disabled and not working [Y14j]. Note that homemakers or students without current outside employment are coded 0 [Y16j data are NOT used]. 67 1. A lot 131 3. Somewhat 833 5. Not much at all 1 8. DK 9. NA 249 0. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR 980646 RC9.STACKED- (UN/DIS) HAD JOB LAST 6 MO) COLUMNS 1231 - 1231 NUMERIC MD EQ 0, GE 8 RC9. IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: Have you had a job in the past 6 months? STACKED- HAS R HAD JOB IN LAST 6 MONTHS --------------------------------------------------------------------- See notes Y4. Built from Y10e, Y12e, Y14e. This variable combines data for all Rs who are currently: - Unemployed [Y10e], - Retired [Y12e], - Permanently disabled, if R has ever worked [Y14e] 47 1. Yes 229 5. No 8. DK 9. NA 1005 0. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR 980647 RC10.STACKED- (R/UN/DIS) LOOK FOR WORK COLUMNS 1232 - 1232 NUMERIC MD EQ 0, GE 8 RC10. IF R IS RETIRED AND NOT CURRENTLY WORKING: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED, HAS EVER WORKED FOR PAY, IS NOT CURRENTLY WORKING: Are you looking for work at the present time? STACKED- IS R LOOKING FOR WORK --------------------------------------------------------------------- See notes Y4. Built from Y10g, Y12h, Y14h. This variable combines data for all Rs who are currently: - Unemployed [Y10g], - Retired, if R is not currently working [Y12h], - Permanently disabled, if R has ever worked but is not currently working [Y14h]. 32 1. Yes 216 5. No 8. DK 9. NA 1033 0. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 1 in Y12g; 1 in Y14g ============================== VAR 980648 RC11.STACKED- (UN/DIS) EVER WORK FOR PAY COLUMNS 1233 - 1233 NUMERIC MD EQ 0, GE 8 RC11. IF R IS UNEMPLOYED: / IF R IS DISABLED: Have you ever done any work for pay? STACKED- HAS R EVER WORKED FOR PAY --------------------------------------------------------------------- See notes Y4. Built from Y9 and Y13. 76 1. Yes 4 5. No 8. DK 4 9. NA 1197 0. Inap, 10,15,17,18,20,50,51,70,71,75,80,81,99 in Y6 ============================== VAR 980649 Y18.ANYONE BELONG TO UNION IN HOUSE COLUMNS 1234 - 1234 NUMERIC MD GE 8 Y18. Do you or anyone else in this household belong to a labor union? --------------------------------------------------------------------- 194 1. Yes 1081 5. No 1 8. DK 5 9. NA; RF ============================== VAR 980650 Y18a.HOUSEHOLD MEMBRS IN LABR UNION COLUMNS 1235 - 1236 NUMERIC MD EQ 0, GE 99 Y18a. IF R OR SOMEONE IN R'S HOUSEHOLD BELONGS TO LABOR UNION: Who is it that belongs? --------------------------------------------------------------------- [CHECK ALL THAT APPLY] 110 11. Respondent only 54 12. Spouse only 13 13. Other household member only 15 21. R and spouse 2 22. R and other household member 23. Spouse and other household member 31. R, spouse and other household member 32. R and two or more other household members 33. Spouse and two or more other household members 99. NA 1087 00. Inap, 5,8,9 in Y18 ============================== VAR 980651 Y19.R ONLY FAMILY MEMBER > Age 14? COLUMNS 1237 - 1237 NUMERIC MD GE 9 Y19. CHECKPOINT - IS R ONLY HOUSEHOLD MEMBER AGE 14 OR OLDER? --------------------------------------------------------------------- 337 1. Yes, R is only HH member 14+ 944 5. No, there are other householders members 14+ 9. NA ============================== VAR 980652 Y20.R FAMILY INCOME 1997 COLUMNS 1238 - 1239 NUMERIC MD EQ 0, GE 88 Y20 . IF R IS NOT ONLY HOUSEHOLD MEMBER 14 OR OLDER: Please look at page 24 of the booklet and tell me the letter of the income group that includes the income of all members of your family living here in 1995 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. [IF UNCERTAIN: What would be your best guess?] INCOME - FAMILY INCOME --------------------------------------------------------------------- Rs who do not live with a family member age 14 or older were not asked this question. Their response to Y21 was duplicated in this variable. Note that in 53 cases, due to interviewer error in the Y19 checkpoint administration, the Y20 family income question was not administered although R was not the only household member aged 14 and older. These cases have been coded NA; their individual income data have not been duplicated here. Additional note: In 14 cases, interviewers entered responses where R's individual income (Y20a/Y21) was higher than family income (Y20) [case IDs 1134, 1239, 1287, 1420, 1615, 1649, 1703, 1809, 1950, 2287, 2302, 2304, 3250, 3361]. In some of these 14 cases, the response for family income and R income may have been provided or entered in the incorrect order. 123 1. A. None or less than $2,999 25 2. B. $3,000-$4,999 35 3. C. $5,000-$6,999 27 4. D. $7,000-$8,999 14 5. E. $9,000-$9,999 22 6. F. $10,000-$10,999 12 7. G. $11,000-$11,999 21 8. H. $12,000-$12,999 17 9. J. $13,000-$13,999 15 10. K. $14,000-$14.999 40 11. M. $15,000-$16,999 43 12. N. $17,000-$19,999 35 13. P. $20,000-$21,999 54 14. Q. $22,000-$24,999 68 15. R. $25,000-$29,999 65 16. S. $30,000-$34,999 76 17. T. $35,000-$39,999 68 18. U. $40,000-$44,999 79 19. V. $45,000-$49,999 91 20. W. $50,000-$59,999 101 21. X. $60,000-$74,999 70 22. Z. $75,000-89,999 41 23. AA. $90,000-$104,999 93 24. BB. $105,000 and over 2 88. Refused 2 98. DK 42 99. NA ============================== VAR 980653 Y20a/Y21.(IN FAMILY) R SELF INCOME 1997 COLUMNS 1240 - 1241 NUMERIC MD EQ 88 MD GE 98 Y20a/Y21. Y20a. IF R IS NOT ONLY HOUSEHOLD MEMBER 14 OR OLDER: / Y21. IF R IS ONLY HOUSEHOLD MEMBER 14 OR OLDER: Y20a.(Looking at page 24 of the booklet) Now we are interested in the income that you yourself received in 1995, not including any of the income received by (your spouse and) the rest of your family. Please look at this page and tell me the income you yourself had in 1995 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. [IF UNCERTAIN: What would be your best guess?] Y21. Looking at page 24 of the booklet tell me the letter of the income group that includes the income you had in 1995 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. INCOME - R'S INDIVIDUAL INCOME --------------------------------------------------------------------- Note: In 14 cases, interviewers entered responses where R's individual income (Y20a/Y21) was higher than family income (Y20) [case IDs 1134, 1239, 1287, 1420, 1615, 1649, 1703, 1809, 1950, 2287, 2302, 2304, 3250, 3361]. In some of these 14 cases, the response for family income and R income may have been provided or entered in the incorrect order. 243 1. A. None or less than 2,999 56 2. B. $3,000-4,999 54 3. C. $5,000-6,999 46 4. D. $7,000-8,999 23 5. E. $9,000-9,999 51 6. F. $10,000-10,999 19 7. G. $11,000-11,999 27 8. H. $12,000-12,999 24 9. J. $13,000-13,999 22 10. K. $14,000-14,999 58 11. M. $15,000-15,999 50 12. N. $17,000-19,999 50 13. P. $20,000-21,999 66 14. Q. $22,000-24,999 92 15. R. $25,000-29,999 82 16. S. $30,000-34,999 71 17. T. $35,000-39,999 42 18. U. $40,000-44,999 39 19. V. $45,000-49,999 50 20. W. $50,000-59,999 38 21. X. $60,000-74,999 30 22. Z. $75,000-89,999 10 23. AA. $90,000-104,999 30 24. BB. $105,000 and over 4 88. Refused 2 98. DK 2 99. NA ============================== VAR 980654 Y22(1).RS ETHNIC/NATL GRP - MENT 1 COLUMNS 1242 - 1243 NUMERIC MD EQ 0, GE 98 Y22(1). In addition to being American, what do you consider your main ethnic group or nationality group? MENTION 1 - R NATIONALITY --------------------------------------------------------------------- See ICPSR Nationality MASTER CODE. If R gave 3 or more nationalities, the first two were coded except when the nationality given in Y22a is not one of the first two listed. Then, the nationality mentioned in Y22a was coded as the first mention, and the first mention was coded as mention 2. Note: in past years, Rs who indicated a specific wish to be identified as "American" were combined with respondents who gave no preference ("none"). Codes 1-96 and: 96. "American" 97. Other 98. DK 99. NA 00. None ============================== VAR 980655 Y22(2).RS ETHNIC/NATL GRP - MENT 2 COLUMNS 1244 - 1245 NUMERIC MD EQ 0 Y22(2). In addition to being American, what do you consider your main ethnic group or nationality group? MENTION 2 - R NATIONALITY --------------------------------------------------------------------- See ICPSR Nationality MASTER CODE. If R gave 3 or more nationalities, the first two were coded except when the nationality given in Y22a is not one of the first two listed. Then, the nationality mentioned in Y22a was coded as the first mention, and the first mention was coded as mention 2. Codes 1-96 and: 97. Other 00. Inap, 0,98,99 in Y22(1); no further mention ============================== VAR 980656 Y22(3).# NATIONALITIES CHECKPOINT COLUMNS 1246 - 1246 NUMERIC MD GE 9 Y22(3). CHECKPOINT - NUMBER OF NATIONALITY GROUPS R MENTIONED --------------------------------------------------------------------- 918 1. ONE NATIONALITY OR ETHNIC GROUP MENTIONED 204 2. MORE THAN ONE NATIONALITY OR ETHNIC GROUP MENTIONED 101 3. NO NATIONALITY/GROUP MENTIONED 58 9. R REFUSED OR DK ANSWER TO NATIONALITY OR ETHNICITY (98,99 in Y22(1)) ============================== VAR 980657 Y22a.CLOSEST NATIONALITY COLUMNS 1247 - 1248 NUMERIC MD EQ 0, GE 98 Y22a. IF R HAS IDENTIFIED WITH MORE THAN 1 NATIONALITY GROUP: With which of these groups do you most closely identify? --------------------------------------------------------------------- Rs giving only 1 mention to Y22 were not asked this question; their single response to Y22 has been duplicated in this variable. See ICPSR Nationality MASTER CODE codes 1-96,97 and: 90. None, neither 98. DK 99. NA 00. Inap, 3,9 in Y22(3) ============================== VAR 980658 Y22b.BOTH PARENTS BORN IN USA COLUMNS 1249 - 1249 NUMERIC MD GE 8 Y22b. Were both your parents born in this country? --------------------------------------------------------------------- [THIS MEANS THE UNITED STATES] 1087 1. Yes 185 5. No 4 8. DK 5 9. NA; RF ============================== VAR 980659 Y23.SPANISH OR HISPANIC ORIGIN COLUMNS 1250 - 1250 NUMERIC MD GE 8 Y23. Is R of Spanish or Hispanic origin or descent? / [IF NO SPANISH OR HISPANIC GROUP MENTIONED ABOVE ASK:] Are you of Spanish or Hispanic origin or descent? --------------------------------------------------------------------- [IWER: IS SPANISH OR HISPANIC GROUP MENTIONED AS MAIN GROUP?] This question was addressed to the respondent if R did not identify a Hispanic group in Y22(1) or Y22(2). If R mentioned a Hispanic group in Y22(1)/Y22(2) then the interviewer coded the appropriate response. 138 1. Yes 1136 5. No 2 8. DK 5 9. NA; RF ============================== VAR 980660 Y23a.HISPANIC ORIGIN SPECifY COLUMNS 1251 - 1251 NUMERIC MD EQ 0, GE 8 Y23a. IF R HAS MENTIONED SPANISH/ HISPANIC ETHNIC OR NATIONALITY GROUP (CHECKPOINT): Please look at page 25 of the booklet and tell me which category best describes your Hispanic origin. --------------------------------------------------------------------- 66 1. Mexican 15 2. Puerto Rican 3. Cuban 10 4. Latin American 5 5. Central American 37 6. Spanish 4 7. Other (specify) [VOL] 1 8. DK 9. NA 1143 0. Inap, 5,8,9 in Y23 ============================== VAR 980661 Y26.HOW LONG R LIVED IN RS CITY COLUMNS 1252 - 1253 NUMERIC MD GE 98 Y26. How long have you lived in your present (city/town/township/county)? --------------------------------------------------------------------- If R gave fraction of year, the fraction was dropped when number of years was greater than 2. Number of years coded, codes 3-88 and: 00. Less than 6 months 1. 6-12 months; 1 year 2. 13-24 months; 2 years 89. 89 years or more 90. All of life 98. DK 99. NA ============================== VAR 980662 Y27.HOW LONG R LIVED IN RS HOUSE COLUMNS 1254 - 1255 NUMERIC MD GE 98 Y27. How long have you lived in this (house/condo/apartment)? --------------------------------------------------------------------- If R gave fraction of year, the fraction was dropped when number of years was greater than 2. Number of years coded, codes 3-88 and: 00. Less than 6 months 1. 6-12 months; 1 year 2. 13-24 months; 2 years 89. 89 years or more 90. All of life 98. DK 99. NA ============================== VAR 980663 Y28.OWN OR RENT HOME COLUMNS 1256 - 1256 NUMERIC MD GE 8 Y28. (Do you/ Does your family) own your home, pay rent, or what? --------------------------------------------------------------------- 840 1. Own house 408 5. Pay rent 23 7. Other (specify) 1 8. DK 9 9. NA; RF ============================== VAR 980664 Y29.DOES R HAVE CHILDREN COLUMNS 1257 - 1257 NUMERIC MD GE 8 Y29. These are our last few questions. Do you have any children? --------------------------------------------------------------------- 926 1. Yes 11 3. Yes, stepchildren/adopted 337 5. No 8. DK 7 9. NA; RF ============================== VAR 980665 Y29a.HOW MANY CHILDREN R HAS <6 YRS OLD COLUMNS 1258 - 1258 NUMERIC MD GE 8 Y29a. IF R HAS CHILDREN: How many children do you have who are LESS THAN 6 YEARS OLD? --------------------------------------------------------------------- [ENTER ZERO IF NONE] 724 0. No children 125 1. Once child 67 2. Two children 14 3. Three children 6 4. Four children 5. Five children 1 6. Six children 7. Seven children 8. DK 344 9. NA; Inap, 5,8,9 in Y29 ============================== VAR 980666 Y29a1.NO. CHILDREN <6 WITH R HALF TIME COLUMNS 1259 - 1259 NUMERIC MD GE 8 Y29a1. IF R HAS CHILDREN: IF R HAS CHILDREN UNDER 6 YEARS OLD: How many of them live with you at least half of the time? --------------------------------------------------------------------- 9 0. None 126 1. One 61 2. Two 13 3. Three 4 4. Four 5. Five 6. Six 7. Seven 8. DK 1068 9. NA; Inap, 5,8,9 in Y29; 0, 8-9 in Y29a ============================== VAR 980667 Y29b.HOW MANY CHILDR R HAS 6-18 YRS OLD COLUMNS 1260 - 1260 NUMERIC MD GE 8 Y29b. IF R HAS CHILDREN: How many children do you have who are BETWEEN 6 AND 18 YEARS OLD? --------------------------------------------------------------------- [ENTER 0 IF NONE] 559 0. No children 156 1. One child 146 2. Two children 59 3. Three children 12 4. Four children 1 5. Five children 3 6. Six children 1 7. Seven children 8. DK 344 9. NA; Inap, 5,8,9 in Y29 ============================== VAR 980668 Y29b1.NO. CHILDREN 6-18 W/ R HALF TIM COLUMNS 1261 - 1261 NUMERIC MD GE 8 Y29b1. IF R HAS CHILDREN: IF R HAS CHILDREN BETWEEN 6 AND 18 YEARS OLD: How many of them live with you at least half of the time? --------------------------------------------------------------------- 39 0. None 157 1. One 123 2. Two 47 3. Three 11 4. Four 1 5. Five 6. Six 7. Seven 8. DK 903 9. NA; Inap, 5,8,9 in Y29; 0, 8-9 in Y29b ................................................................ Thank you very much for this interview. We value people like you who are willing to contribute their views and opinions to our research. We will be sending you a report of some of our findings as a way of expressing our appreciation for your cooperation. My regional supervisor may also be calling or writing you to verify this interview. For these reasons, I would like to verify your name and ask for your mailing address and telephone number. ============================== VAR 980669 Y30.CKPOINT: ENDING IW FTF OR PHONE? COLUMNS 1262 - 1262 NUMERIC MD GE 9 Y30. [IWER: ARE YOU ENDING THIS INTERVIEW IN FACE TO FACE OR PHONE MODE?] --------------------------------------------------------------------- 990 1. Telephone 291 2. Face-to-face 9. NA ============================== VAR 980670 Z0.IWR: NUMBER OF TIMES R CONTACTED HU COLUMNS 1263 - 1264 NUMERIC MD GE 99 Z0. IWER: PLEASE ENTER THE NUMBER OF TIMES THAT CONTACT WAS MADE WITH THIS HU, INCLUDING BOTH FTF CONTACTS AND TELEPHONE CONTACTS --------------------------------------------------------------------- Number of contacts and: 99. NA ============================== VAR 980671 Z0a.IWR: WHY DID R CONDUCT FTF COLUMNS 1265 - 1265 NUMERIC MD EQ 0, GE 9 Z0a. [INTERVIEWER] PLEASE INDICATE WHY IW WAS DONE IN PERSON INSTEAD OF BY PHONE --------------------------------------------------------------------- 62 1. R had strong personal preference for face-to-face 15 2. R had physical limitations that precluded phone IW 29 3. R had no phone 28 4. Convenient for IWR to attempt face-to-face (in neighborhood/passing by) 29 5. IW done on initial contact 35 7. Other (specify) 990 9. NA; phone mode (1 in Y30) 93 0. Inap, only 1 contact (1 in Z0) and FTF ============================== VAR 980672 Z1.IWR OBSERVATION: R geNDER COLUMNS 1266 - 1266 NUMERIC Z1. INTERVIEWER OBSERVATION: R'S SEX IS: --------------------------------------------------------------------- 575 1. Male 706 2. Female ============================== VAR 980673 Z2.IWR OSERVATION: R RACE COLUMNS 1267 - 1267 NUMERIC MD GE 9 Z2. INTERVIEWER OBSERVATION: R'S RACE IS: --------------------------------------------------------------------- 1091 1. White 152 2. Black 12 3. American Indian or Alaskan native 16 4. Asian or Pacific islander 7. Other 10 9. NA ============================== VAR 980674 Z3.IWR OBS: OTHERS PRESENT DURING IW COLUMNS 1268 - 1269 NUMERIC MD GE 99 Z3. INTERVIEWER OBSERVATION: OTHERS PRESENT AT TIME OF INTERVIEW: --------------------------------------------------------------------- (CHECK ALL THAT APPLY:) 433 1. No one (no other box checked) 55 2. Children under 6 only 43 3. Older children only 9 4. Children under 6 and older children 88 5. Spouse only 12 6. Spouse and children under 6 18 7. Spouse and older children 10 8. Spouse, children under 6, older children 14 9. Other relatives only 6 10. Other relatives and children under 6 3 11. Other relatives and older children 3 12. Other relatives, children under 6, older children 13. Other relatives and spouse 5 14. Other relatives, spouse, children under 6 15. Other relatives, spouse, older children 16. Other relatives, spouse, children under 6, older children 34 17. Other adults only 5 18. Other adults and children under 6 4 19. Other adults and older children 2 20. Other adults, children under 6, older children 21. Other adults and spouse 1 22. Other adults, spouse, children under 6 1 23. Other adults, spouse, older children 24. Other adults, spouse, children under 6, older children 1 25. Other adults and other relatives 3 26. Other adults, other relatives, children under 6 27. Other adults, other relatives, older children 28. Other adults, other relatives, children under 6, older children 1 29. Other adults, other relatives, spouse 30. Other adults, other relatives, spouse, children under 6 31. Other adults, other relatives, spouse, older children 1 32. Other adults, other relatives, spouse, children under 6, older children (ALL BOXES CHECKED) 529 99. NA ============================== VAR 980675 Z4.IWR OBSERVATION: R COOPERATION COLUMNS 1270 - 1270 NUMERIC MD GE 9 Z4. INTERVIEWER OBSERVATION: R'S COOPERATION WAS: --------------------------------------------------------------------- 856 1. Very good 321 2. Good 85 3. Fair 14 4. Poor 5 5. Very poor 9. NA ============================== VAR 980676 Z5.IWR OBS: R INFORMED ABT POLITICS COLUMNS 1271 - 1271 NUMERIC MD GE 9 Z5. INTERVIEWER OBSERVATION: R'S GENERAL LEVEL OF INFORMATION ABOUT POLITICS AND PUBLIC AFFAIRS SEEMED: --------------------------------------------------------------------- 206 1. Very high 276 2. Fairly high 464 3. Average 235 4. Fairly low 100 5. Very low 9. NA ============================== VAR 980677 Z6.IWR OBS: R APPARENT INTELLIgeNCE COLUMNS 1272 - 1272 NUMERIC MD GE 9 Z6. INTERVIEWER OBSERVATION: RATE R'S APPARENT INTELLIGENCE: --------------------------------------------------------------------- 265 1. Very high 441 2. Fairly high 494 3. Average 66 4. Fairly low 15 5. Very low 9. NA ============================== VAR 980678 Z7.IWR OBSERVATION: R SUSPICIOUSNESS COLUMNS 1273 - 1273 NUMERIC MD GE 9 Z7. INTERVIEWER OBSERVATION: HOW SUSPICIOUS DID R SEEM TO BE ABOUT THE STUDY BEFORE THE INTERVIEW? --------------------------------------------------------------------- 1036 1. Not at all suspicious 214 3. Somewhat suspicious 31 5. Very suspicious 9. NA ============================== VAR 980679 Z8.IWR OBSERVATION: R INTEREST IN IW COLUMNS 1274 - 1274 NUMERIC MD GE 9 Z8. INTERVIEWER OBSERVATION: OVERALL, HOW GREAT WAS R'S INTEREST IN THE INTERVIEW? --------------------------------------------------------------------- 344 1. Very high 406 2. Above average 415 3. Average 98 4. Below average 18 5. Very low 9. NA ============================== VAR 980680 Z9.IWR OBSERVATION: R SINCERITY COLUMNS 1275 - 1275 NUMERIC MD GE 9 Z9. INTERVIEWER OBSERVATION: HOW SINCERE DID R SEEM TO BE IN HIS/HER ANSWERS? --------------------------------------------------------------------- 1109 1. Completely sincere 158 3. Usually sincere 14 5. Often seemed to be insincere 9. NA ============================== VAR 980680a Z9a.IWR OBSERVATION: R INSINCERE WHERE COLUMNS 1276 - 1276 CHARACTER Z9a. IF IWR DOES NOT THINK R WAS COMPLETELY SINCERE: INTERVIEWER OBSERVATION: WERE THERE ANY PARTICULAR PARTS OF THE INTERVIEW FOR WHICH YOU DOUBTED R'S SINCERITY? (IF SO, NAME THEM BY SECTION OR QUESTION NUMBER). --------------------------------------------------------------------- (IF SO NAME THEM BY SECTION OR QUESTION NUMBER) This var is blank if coded 9 or 1 in Z9. ============================== VAR 980681 Z10.IWR OBS: R REPORT INCOME ACCURAT COLUMNS 1277 - 1277 NUMERIC MD GE 9 Z10. INTERVIEWER OBSERVATION: DO YOU FEEL R REPORTED INCOME ACCURATELY? --------------------------------------------------------------------- 1138 1. Yes, think R reported correctly 29 2. No, think R reported incorrectly 105 3. Refused income questions 1 5. No, think R reported dishonestly 8 8. DK 9. NA ============================== VAR 980682 Z10a.IWR OBS: ACCURATE INCOME ESTIM. COLUMNS 1278 - 1279 NUMERIC MD EQ 0, GE 98 Z10a. IF IWR THINKS R DID NOT ACCURATELY REPORT INCOME: INTERVIEWER OBSERVATION: IF POSSIBLE, GIVE A REASONABLE ESTIMATE OF WHAT R'S FAMILY INCOME IS (BEFORE TAXES IN 1997) --------------------------------------------------------------------- 18 1. <$2999 1 2. $3.000-4,999 3 3. $5.000-6,999 4 4. $7.000-8,999 4 5. $9.000-9,999 5 6. $10.000-10,999 7. $11.000-11,999 2 8. $12.000-12,999 1 9. $13.000-13,999 1 10. $14.000-14,999 4 11. $15.000-16,999 6 12. $17.000-19,999 7 13. $20.000-21,999 3 14. $22.000-24,999 13 15. $25.000-29,999 10 16. $30.000-39,99 2 17. $35,000-39,999 8 18. $40,000-44,999 9 19. $45,000-49,999 8 20. $50,000-59,999 6 21. $60,000-74,999 7 22. $75,000 -89,999 5 23. $90,000-$104,000 4 24. $105,000 and over 10 98. IMPOSSIBLE TO ESTIMATE 2 99. NA 1138 00. Inap, 1,9 in Z10 ============================== VAR 980683 Z11(1).IWR OBS: #1 R REACTIONS TO IW COLUMNS 1280 - 1281 NUMERIC MD GE 99 Z11(1). INTERVIEWER OBSERVATION: R'S REACTION TO INTERVIEW: MENTION #1 --------------------------------------------------------------------- [ENTER ALL THAT APPLY] 45 10. Negative - general 56 11. Negative - too long 6 12. Negative - too complicated 5 13. Negative - boring/tedious/repetitious 5 15. R wanted to stop before interview completed. After starting the interview R made comments indicating 17 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was 28 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the 47 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own 115 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 8 40. R was agitated or stressed by interview PROCESS 1 41. R became angry at interview CONTENT 6 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS 3 50. R could not read respondent booklet 740 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 199 80. Neutral or no feedback (1st mention only) 99. NA ============================== VAR 980684 Z11(2).IWR OBS: #2 R REACTIONS TO IW COLUMNS 1282 - 1283 NUMERIC MD GE 99 Z11(2). INTERVIEWER OBSERVATION: R'S REACTION TO INTERVIEW: MENTION #2 --------------------------------------------------------------------- [ENTER ALL THAT APPLY] 10. Negative - general 7 11. Negative - too long 7 12. Negative - too complicated 7 13. Negative - boring/tedious/repetitious 6 15. R wanted to stop before interview completed. After starting the interview R made comments indicating 2 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was 12 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the 21 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own 42 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 6 40. R was agitated or stressed by interview PROCESS 1 41. R became angry at interview CONTENT 2 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS 3 50. R could not read respondent booklet 80 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 1085 99. NA; inap, no further mention ============================== VAR 980685 Z11(3.)IWR OBS: #3 R REACTIONS TO IW COLUMNS 1284 - 1285 NUMERIC MD GE 99 Z11(3). INTERVIEWER OBSERVATION: R'S REACTION TO INTERVIEW: MENTION #3 --------------------------------------------------------------------- [ENTER ALL THAT APPLY] 10. Negative - general 11. Negative - too long 1 12. Negative - too complicated 4 13. Negative - boring/tedious/repetitious 3 15. R wanted to stop before interview completed. After starting the interview R made comments indicating 1 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was 3 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the 7 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own 19 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 6 40. R was agitated or stressed by interview PROCESS 2 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS 2 50. R could not read respondent booklet 24 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 1209 99. NA; inap, no further mention ============================== VAR 980686 Z11(4).IWR OBS: #4 R REACTIONS TO IW COLUMNS 1286 - 1287 NUMERIC MD GE 99 Z11(4). INTERVIEWER OBSERVATION: R'S REACTION TO INTERVIEW: MENTION #4 --------------------------------------------------------------------- [ENTER ALL THAT APPLY] 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 3 15. R wanted to stop before interview completed. After starting the interview R made comments indicating 1 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was 1 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the 3 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own 8 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 3 40. R was agitated or stressed by interview PROCESS 1 41. R became angry at interview CONTENT 1 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS 1 50. R could not read respondent booklet 7 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 1252 99. NA; inap, no further mention ============================== VAR 980687 Z11(5).IWR OBS: #5 R REACTIONS TO IW COLUMNS 1288 - 1289 NUMERIC MD GE 99 Z11(5). INTERVIEWER OBSERVATION: R'S REACTION TO INTERVIEW: MENTION #5 --------------------------------------------------------------------- [ENTER ALL THAT APPLY] 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating 1 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was 2 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own 3 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 4 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 2 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS 2 50. R could not read respondent booklet 3 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 1264 99. NA; inap, no further mention ................................................................ THERE ARE NO VARIABLES V980688-V980690 ============================== VAR 980691 Z12.IWR FTF OBS: R DifFICULTY W/BOOKLET COLUMNS 1290 - 1290 NUMERIC MD EQ 0, GE 9 Z12. IF INTERVIEW COMPLETED IN FACE-TO-FACE MODE: INTERVIEWER OBSERVATION: DID YOU OBSERVE OR DID THE RESPONDENT STATE THAT HE/SHE HAD DIFFICULTY READING THE BOOKLET OR FOLLOWING ALONG IN THE BOOKLET? --------------------------------------------------------------------- 25 1. Yes, observed that R had problems with booklet 9 2. Yes, R state s/he had trouble with the booklet 8 3. Yes, observed and R mentioned difficulty 249 5. No, R had no problem with the booklet 9. NA 990 0. Inap, IW completed in telephone mode (1 in Y30) ============================== VAR 980692 Z13.IWR FTF OBS: REASONS DifF W/BOOKLET COLUMNS 1291 - 1291 NUMERIC MD EQ 0, GE 9 Z13. IF INTERVIEW IW COMPLETED IN FACE-TO-FACE MODE: IF R HAD DIFFICULTY WITH BOOKLET: INTERVIEWER OBSERVATION: WHAT WAS THE REASON FOR THE DIFFICULTY WITH THE BOOKLET? --------------------------------------------------------------------- 13 1. R had difficulty due to reading level/literacy 13 2. R had difficulty due to poor eyesight or other 4 3. R had difficulty based on both of these problems 12 7. R had difficulty for other reason(s) - SPECIFY 9. NA 1239 0. Inap, IW completed in telephone mode (1 in Y30); 5,9 in Z12 ============================== VAR 980693 Z14.IWR FTF OBS: R STATE PROBLEM W/BKLET COLUMNS 1292 - 1292 NUMERIC MD EQ 0, GE 9 Z14. IF INTERVIEW IW COMPLETED IN FACE-TO-FACE MODE: IF R HAD DIFFICULTY WITH BOOKLET: INTERVIEWER OBSERVATION: DOES YOUR EXPLANATION FOR R'S DIFFICULTY WITH THE BOOKLET STEM MOSTLY FROM YOUR OBSERVATION OR FROM R'S STATEMENT(S) TO YOU? --------------------------------------------------------------------- 27 1. From observation 15 2. From R's statement(s) about difficulty 9. NA 1239 0. Inap, IW completed in telephone mode (1 in Y30); 5,9 in Z12 ============================== VAR 980694 Z15.IWR FTF OBS: HOW MUCH BOOKLET PROB COLUMNS 1293 - 1293 NUMERIC MD EQ 0, GE 9 Z15. IF INTERVIEW IW COMPLETED IN FACE-TO-FACE MODE: IF R HAD DIFFICULTY WITH BOOKLET: INTERVIEWER OBSERVATION: FOR HOW MUCH OF THE BOOKLET DID R HAVE DIFFICULTY USING OR FOLLOWING ALONG IN THE BOOKLET? --------------------------------------------------------------------- 7 1. On 3 or fewer pages 8 2. On several pages- between 4 and 8 8 3. On most of the pages - between 9 and 15 19 4. Throughout the interview - on all or almost all 9. NA 1239 0. Inap, IW completed in telephone mode (1 in Y30); 5,9 in Z12 ============================== VAR 980695 Z16.IWR TEL OBSERV: DID R HAVE BOOKLET COLUMNS 1294 - 1294 NUMERIC MD EQ 0, GE 8 Z16. IF INTERVIEW COMPLETED IN TELEPHONE MODE: INTERVIEWER OBSERVATION: DID R HAVE THE BOOKLET WHEN THE INTERVIEW WAS STARTED? --------------------------------------------------------------------- 713 1. Yes 273 5. No 1 8. DK 3 9. NA; RF 291 0. Inap, IW completed in face-to-face mode (2 in Y30) ============================== VAR 980696 Z17.IWR TEL OBS: HOW SURE R HAD BOOKLT COLUMNS 1295 - 1295 NUMERIC MD EQ 0, GE 9 Z17. IF INTERVIEW COMPLETED IN TELEPHONE MODE: IF R HAD BOOKLET WHEN INTERVIEW STARTED: INTERVIEWER OBSERVATION: HOW CONFIDENT ARE YOU THAT R HAD THE BOOKLET IN FRONT OF HIN/HER WHILE BEING INTERVIEWED? --------------------------------------------------------------------- 656 1. Completely confident 42 2. Very confident 8 3. Somewhat confident 6 4. Not very confident 1 9. NA 568 0. Inap, IW completed in face-to-face mode (2 in Y30); 5,8,9 in Z16 ============================== VAR 980697 Z18.IWR TEL OBS: R DifFICULTY W/BOOKLET COLUMNS 1296 - 1296 NUMERIC MD EQ 0, GE 9 Z18. IF INTERVIEW COMPLETED IN TELEPHONE MODE: IF R HAD BOOKLET WHEN INTERVIEW STARTED: INTERVIEWER OBSERVATION: DID R HAVE DIFFICULTY READING THE BOOKLET OR FOLLOWING ALONG IN THE BOOKLET? --------------------------------------------------------------------- 31 1. Yes 682 5. No 9. NA 568 0. Inap, IW completed in face-to-face mode (2 in Y30); 5,8,9 in Z16 ============================== VAR 980698 Z19.IWR TEL OBS: HOW MUCH DifFIC W/BKLET COLUMNS 1297 - 1297 NUMERIC MD EQ 0, GE 9 Z19. IF INTERVIEW COMPLETED IN TELEPHONE MODE: IF R HAD BOOKLET WHEN INTERVIEW STARTED: IF R HAD DIFFICULTY READING/FOLLOWING BOOKLET: INTERVIEWER OBSERVATION: HOW MUCH DIFFICULTY DID R SEEM TO HAVE USING OR FOLLOWING ALONG IN THE BOOKLET? --------------------------------------------------------------------- 11 1. On 3 or fewer pages 6 2. On several pages - between 4 and 8 4 3. On most of the pages - between 9 and 15 10 4. Throughout the interview - on all or almost all 9. NA 1250 0. Inap, IW completed in face-to-face mode (2 in Y30); 5,8,9 in Z16 ============================== VAR 980699 Z20.IWR TEL OBS: WHY SEEM DifFIC W/BKLET COLUMNS 1298 - 1298 NUMERIC MD EQ 0, GE 9 Z20. IF INTERVIEW COMPLETED IN TELEPHONE MODE: IF R HAD BOOKLET WHEN INTERVIEW STARTED: IF R HAD DIFFICULTY READING/FOLLOWING BOOKLET: INTERVIEWER OBSERVATION: WHAT IS THE MAIN REASON YOU FORMED AN IMPRESSION THAT R WAS HAVING TROUBLE WITH THE BOOKLET? --------------------------------------------------------------------- 4 1. R made statements that s/he was having trouble with the booklet 10 2. I (IWR) inferred that R was having trouble based on how R answered questions 17 7. Other/both - SPECIFY 9. NA 1250 0. Inap, IW completed in face-to-face mode (2 in Y30); 5,8,9 in Z16 ============================== VAR 980700 Z21.IWR TEL OBSERV: WHY NO BOOKLET COLUMNS 1299 - 1299 NUMERIC MD EQ 0, GE 9 Z21. IF INTERVIEW IS TELEPHONE: IF R DID NOT HAVE THE BOOKLET WHEN INTERVIEW STARTED: INTERVIEWER OBSERVATION: WHAT IS THE REASON THAT R DID NOT HAVE THE BOOKLET AT HAND WHEN THE INTERVIEW STARTED --------------------------------------------------------------------- 166 1. Mislaid it since receiving it 17 2. Booklet not yet received in mail 90 7. Other - SPECIFY 9. NA; RF 1008 0. Inap, IW completed in face-to-face mode (2 in Y30); ============================== VAR 980701 Z2.2IWR TEL OBS: DID R USE BKLET MID-IW COLUMNS 1300 - 1300 NUMERIC MD EQ 0, GE 9 Z22. IF INTERVIEW IS TELEPHONE: IF R DID NOT HAVE THE BOOKLET WHEN INTERVIEW STARTED: INTERVIEWER OBSERVATION: DID R START USING THE BOOKLET PART WAY THROUGH THE INTERVIEW? --------------------------------------------------------------------- 11 1. Yes 262 5. No 1 9. NA; RF 1007 0. Inap, IW completed in face-to-face mode (2 in Y30); 5,8,9 in Z16 ============================== VAR 980702 Z23.IWR TEL OBS: NO BOOKLET INTERFERE COLUMNS 1301 - 1301 NUMERIC MD EQ 0, GE 8 Z23. IF INTERVIEW IS TELEPHONE: IF R DID NOT HAVE THE BOOKLET WHEN INTERVIEW STARTED: INTERVIEWER OBSERVATION: DID NOT HAVING A BOOKLET SEEM TO AFFECT R'S ABILITY TO RESPOND TO QUESTIONS? --------------------------------------------------------------------- 41 1. Yes - SPECIFY 231 5. No 1 8. DK 1 9. NA; RF 1007 0. Inap, IW completed in face-to-face mode (2 in Y30); 5,8,9 in Z16 ============================== VAR 980703 RAND ORDER A12-A12a/b and A13-A13a/b COLUMNS 1302 - 1302 NUMERIC MD GE 9 Rand.A12/13. RANDOMIZATION Order "economy" and "foreign relations" in Presidential performance question series --------------------------------------------------------------------- This variable describes whether questions A12-A12a/b ("economy") were asked first or whether A13-A13a/b ("foreign relations") were asked first. 627 1. "Economy" (A12-A12a/b) asked first 654 2. "Foreign relations" (A13-A13a/b) asked first 9. NA ============================== VAR 980704 Position B4b1 Dem Hse cand -thermometer COLUMNS 1303 - 1304 NUMERIC MD EQ 0, GE 99 Rand.B4b1. RANDOMIZATION Position of DEMOCRATIC HOUSE CANDIDATE among thermometers for individual figures B4b1-B4u --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA 00. Inap, no Democratic House candidate ============================== VAR 980705 Position B4b1 Rep Hse cand -thermometer COLUMNS 1305 - 1306 NUMERIC MD EQ 0, GE 99 Rand.B4b2. RANDOMIZATION Position of REPUBLICAN HOUSE CANDIDATE among thermometers for individual figures B4b1-B4u --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA 00. Inap, no Republican House candidate ============================== VAR 980706 Position B4c1 Dem Sen cand -thermometer COLUMNS 1307 - 1308 NUMERIC MD EQ 0, GE 99 Rand.B4c1. RANDOMIZATION Position of DEMOCRATIC SENATE CANDIDATE among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA 00. Inap, no Senate race in state ============================== VAR 980707 Position B4c1 Rep Sen cand -thermometer COLUMNS 1309 - 1310 NUMERIC MD EQ 0, GE 99 Rand.B4c2. RANDOMIZATION Position of REPUBLICAN SENATE CANDIDATE among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA 00. Inap, no Senate race in state ============================== VAR 980708 Position of B4d Al Gore -thermometer COLUMNS 1311 - 1312 NUMERIC MD GE 99 Rand.B4d. RANDOMIZATION Position of AL GORE among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980709 Position B4e Newt Gingrich -thermometer COLUMNS 1313 - 1314 NUMERIC MD GE 99 Rand.B4e. RANDOMIZATION Position of NEWT GINGRICH among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA; Inap, 996 in B4e ============================== VAR 980710 Position B4f george Bush Jr.-thermometer COLUMNS 1315 - 1316 NUMERIC MD GE 99 Rand.B4f. RANDOMIZATION Position of GEORGE BUSH JR. among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980711 Position B4g Dan Quayle -thermometer COLUMNS 1317 - 1318 NUMERIC MD GE 99 Rand.B4g. RANDOMIZATION Position of DAN QUAYLE among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980712 Position B4h Steve Forbes -thermometer COLUMNS 1319 - 1320 NUMERIC MD GE 99 Rand.B4h. RANDOMIZATION Position of STEVE FORBES among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980713 Position B4i Ken Starr -thermometer COLUMNS 1321 - 1322 NUMERIC MD GE 99 Rand.B4i. RANDOMIZATION Position of KEN STARR among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980714 Position B4j Pat Buchanan -thermometer COLUMNS 1323 - 1324 NUMERIC MD GE 99 Rand.B4j. RANDOMIZATION Position of PAT BUCHANAN among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980715 Position B4k Elizabeth Dole -thermometer COLUMNS 1325 - 1326 NUMERIC MD GE 99 Rand.B4k. RANDOMIZATION Position of ELIZABETH DOLE among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980716 Position B4m Richard gephardt -thermomer COLUMNS 1327 - 1328 NUMERIC MD GE 99 Rand.B4m. RANDOMIZATION Position of RICHARD GEPHARDT among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA; Inap, 996 in B4m ============================== VAR 980717 Position B4n Paul Wellstone -thermometer COLUMNS 1329 - 1330 NUMERIC MD GE 99 Rand.B4n. RANDOMIZATION Position of PAUL WELLSTONE among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980718 Position B4o John McCain -thermometer COLUMNS 1331 - 1332 NUMERIC MD GE 99 Rand.B4o. RANDOMIZATION Position of JOHN MCCAIN among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA; 996 in B4o ============================== VAR 980719 Position B4p Bill Bradley -thermometer COLUMNS 1333 - 1334 NUMERIC MD GE 99 Rand.B4p. RANDOMIZATION Position of BILL BRADLEY among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980720 Position B4q Bob Kerrey -thermometer COLUMNS 1335 - 1336 NUMERIC MD GE 99 Rand.B4q. RANDOMIZATION Position of BOB KERREY among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980721 Position B4r John Kerrey -thermometer COLUMNS 1337 - 1338 NUMERIC MD GE 99 Rand.B4r. RANDOMIZATION Position of JOHN KERREY among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980722 Position B4s Gary Bauer -thermometer COLUMNS 1339 - 1340 NUMERIC MD GE 99 Rand.B4s. RANDOMIZATION Position of GARY BAUER among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980723 Position B4t John Ashcroft -thermometer COLUMNS 1341 - 1342 NUMERIC MD GE 99 Rand.B4t. RANDOMIZATION Position of JOHN ASHCROFT among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980724 Position B4u Hillary Clinton-thermometer COLUMNS 1343 - 1344 NUMERIC MD GE 99 Rand.B4u. RANDOMIZATION Position of HILLARY CLINTON among thermometers for individual figures (B4b1-B4u) --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 2-22 and: 99. NA ============================== VAR 980725 Position B5a/b Democratic Party -therms COLUMNS 1345 - 1345 NUMERIC MD GE 9 Rand.B5a/b. RANDOMIZATION Position of Democratic Party/Republican Party in party thermometers B5a-B5b --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. 658 1. Democratic party administered before Republican party 623 2. Republican party administered before Democratic party 9. NA ============================== VAR 980726 Position B5c Blacks -therms COLUMNS 1346 - 1347 NUMERIC MD GE 99 Rand.B5c. RANDOMIZATION Position of Blacks among group thermometers B5c-B5r --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 1-13 (1st-13th social group) and: 99. NA ============================== VAR 980727 Position B5d the Religious Right -therms COLUMNS 1348 - 1349 NUMERIC MD GE 99 Rand.B5d. RANDOMIZATION Position of the Religious Right among group thermometers B5c-B5r --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 1-13 (1st-13th social group) and: 99. NA ============================== VAR 980728 Position B5e Conservatives -therms COLUMNS 1350 - 1351 NUMERIC MD GE 99 Rand.B5e. RANDOMIZATION Position of Conservatives among group thermometers B5c-B5r --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 1-13 (1st-13th social group) and: 99. NA ============================== VAR 980729 Position B5f Gay Men and Lesbians-therms COLUMNS 1352 - 1353 NUMERIC MD GE 99 Rand.B5f. RANDOMIZATION Position of Gay Men and Lesbians among group thermometers B5c-B5r --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 1-13 (1st-13th social group) and: 99. NA ============================== VAR 980730 Position B5g Labor Unions -therms COLUMNS 1354 - 1355 NUMERIC MD GE 99 Rand.B5g. RANDOMIZATION Position of Labor Unions among group thermometers B5c-B5r --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 1-13 (1st-13th social group) and: 99. NA ============================== VAR 980731 Position B5h Liberals -therms COLUMNS 1356 - 1357 NUMERIC MD GE 99 Rand.B5h. RANDOMIZATION Position of Liberals among group thermometers B5c-B5r --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 1-13 (1st-13th social group) and: 99. NA ============================== VAR 980732 Position B5j Poor People -therms COLUMNS 1358 - 1359 NUMERIC MD GE 99 Rand.B5j. RANDOMIZATION Position of Poor People among group thermometers B5c-B5r --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 1-13 (1st-13th social group) and: 99. NA ============================== VAR 980733 Position B5k Rich People -therms COLUMNS 1360 - 1361 NUMERIC MD GE 99 Rand.B5k. RANDOMIZATION Position of Rich People among group thermometers B5c-B5r --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 1-13 (1st-13th social group) and: 99. NA ============================== VAR 980734 Position B5m Whites -therms COLUMNS 1362 - 1363 NUMERIC MD GE 99 Rand.B5m. RANDOMIZATION Position of Whites among group thermometers B5c-B5r --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 1-13 (1st-13th social group) and: 99. NA ============================== VAR 980735 Position B5n College Educ People -therms COLUMNS 1364 - 1365 NUMERIC MD GE 99 Rand.B5n. RANDOMIZATION Position of College Educated People among group thermometers B5c-B5r --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 1-13 (1st-13th social group) and: 99. NA ============================== VAR 980736 Position B5p Business -therms COLUMNS 1366 - 1367 NUMERIC MD GE 99 Rand.B5p. RANDOMIZATION Position of Business among group thermometers B5c-B5r --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 1-13 (1st-13th social group) and: 99. NA ============================== VAR 980737 Position B5q U.S. Congress -therms COLUMNS 1368 - 1369 NUMERIC MD GE 99 Rand.B5q. RANDOMIZATION Position of the U.S. Congress among group thermometers B5c-B5r --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 1-13 (1st-13th social group) and: 99. NA ============================== VAR 980738 Position B5r News Media -therms COLUMNS 1370 - 1371 NUMERIC MD GE 99 Rand.B5r. RANDOMIZATION Position of the News Media among group thermometers B5c-B5r --------------------------------------------------------------------- Thermometers were administered as follows: 1. Bill Clinton (always first) 2. Individual political figures (21) in randomized order 3. 2 major parties in randomized order 4. Social groups (13) in randomized order Randomizations were separate, such that the 2 major parties were randomized and administered only after thermometers for all political figures were administered, and social groups were randomized and administered only after thermometers for the major parties were administered. Codes 1-13 (1st-13th social group) and: 99. NA ============================== VAR 980739 Position C1-C4 Dem/Rep Likes-Dislikes COLUMNS 1372 - 1372 NUMERIC MD EQ 0, GE 9 Rand.C1-C4. RANDOMIZATION Position of Democratic House Candidate Likes/Dislikes (C1-C2) and Republican House Candidate Likes/Dislikes questions (C3-C4) --------------------------------------------------------------------- The order in which Democratic House candidate 'likes/ dislikes' and the Republican House candidate 'likes/ dislikes' were administered was randomized. In all cases, Democratic House candidate 'dislikes' always followed Democratic House candidate 'likes,' and Republican House candidate 'dislikes' always followed Republican House candidate 'likes.' 456 1. Democratic House candidate likes/dislikes C1-C2 administered before Republican House candidate likes/ 475 2. Republican House candidate likes/dislikes C3-C4 9. NA 350 0. Inap, no Democratic/Republican House candidate (uncontested race, type race 14 or 14 in item Cand1); Washington DC ============================== VAR 980740 Order of C5 Dem, Rep cand names COLUMNS 1373 - 1373 NUMERIC MD EQ 0, GE 9 Rand.C5. RANDOMIZATION Order of Democratic House candidate name and Republican House candidate name in text of C5. --------------------------------------------------------------------- The order in which the names of the Democratic House candidate and Republican House candidate were presented in the text of the question was randomized. 467 1. Democratic House candidate name read before Republican House candidate name 464 2. Republican House candidate name read before Democratic House candidate name 9. NA 350 0. Inap, no Democratic/Republican House candidate (uncontested race, type race 14 or 14 in item Cand1); Washington DC ============================== VAR 980741 Order of F6 party names COLUMNS 1374 - 1374 NUMERIC MD EQ 0, GE 9 Rand.F6. RANDOMIZATION Order of "Republican Party" and "Democratic Party" in text of F6. --------------------------------------------------------------------- The order in which the names of the Democratic House candidate and Republican House candidate were presented in the text of the question was randomized. 601 1. "Democratic party" read before "Republican party" 633 2. "Republican party" read before "Democratic party" 9 9. NA 38 0. Inap, 0 in V980348 ============================== VAR 980742 Order of crime in H2 party perf series COLUMNS 1375 - 1375 NUMERIC MD GE 9 Rand.H2. RANDOMIZATION Position of "crime" in party performance series --------------------------------------------------------------------- The order in which the party performance items H2,H2a-H2d were administered was randomized. Codes 1-5 and: 9. NA ============================== VAR 980743 Order of economy in H2 party perf series COLUMNS 1376 - 1376 NUMERIC MD GE 9 Rand.H2a. RANDOMIZATION Position of "handling the nation's economy" in party performance series --------------------------------------------------------------------- The order in which the party performance items H2,H2a-H2d were administered was randomized. Codes 1-5 and: 9. NA ============================== VAR 980744 Order of environ in H2 party perf series COLUMNS 1377 - 1377 NUMERIC MD GE 9 Rand.H2b. RANDOMIZATION Position of "handling the problems of pollution and the environment" in party performance series --------------------------------------------------------------------- The order in which the party performance items H2,H2a-H2d were administered was randomized. Codes 1-5 and: 9. NA ============================== VAR 980745 Order of foreign in H2 party perf series COLUMNS 1378 - 1378 NUMERIC MD GE 9 Rand.H2c. RANDOMIZATION Position of "handling foreign affairs" in party performance series --------------------------------------------------------------------- The order in which the party performance items H2,H2a-H2d were administered was randomized. Codes 1-5 and: 9. NA ============================== VAR 980746 Order of S Sec in H2 party perf series COLUMNS 1379 - 1379 NUMERIC MD GE 9 Rand.H2d. RANDOMIZATION Position of in "Social Security" party performance series --------------------------------------------------------------------- The order in which the party performance items H2,H2a-H2d were administered was randomized. Codes 1-5 and: 9. NA ============================== VAR 980747 Order of H2-H2d party names COLUMNS 1380 - 1380 NUMERIC MD EQ 0, GE 9 Rand.H2-H2d. RANDOMIZATION Order of "Republican Party" and "Democratic Party" in texts of series H2,H2a-H2d party performance items --------------------------------------------------------------------- The order in which the names of the Democratic House candidate and Republican House candidate were presented in the text of the questions was randomized. (The same order of party names was utilized for all questions in the series if the full text of the question was repeated.) 639 1. "Democratic party" read before "Republican party" 642 2. "Republican party" read before "Democratic party" 9. NA ============================== VAR 980748 Order of angry in H4 Clinton affects COLUMNS 1381 - 1381 NUMERIC MD GE 9 Rand.H4a. RANDOMIZATION Position of "angry" in Clinton affects series H4a-H4e --------------------------------------------------------------------- The order in which Clinton affects items H4a-H4e were administered was randomized. Codes 1-5 and: 9. NA ============================== VAR 980749 Order of hopeful in H4 Clinton affects COLUMNS 1382 - 1382 NUMERIC MD GE 9 Rand.H4b. RANDOMIZATION Position of "hopeful" in Clinton affects series H4a-H4e --------------------------------------------------------------------- The order in which Clinton affects items H4a-H4e were administered was randomized. Codes 1-5 and: 9. NA ============================== VAR 980750 Order of afraid in H4 Clinton affects COLUMNS 1383 - 1383 NUMERIC MD GE 9 Rand.H4c. RANDOMIZATION Position of "afraid" in Clinton affects series H4a-H4e --------------------------------------------------------------------- The order in which Clinton affects items H4a-H4e were administered was randomized. Codes 1-5 and: 9. NA ============================== VAR 980751 Order of proud in H4 Clinton affects COLUMNS 1384 - 1384 NUMERIC MD GE 9 Rand.H4d. RANDOMIZATION Position of "proud" in Clinton affects series H4a-H4e --------------------------------------------------------------------- The order in which Clinton affects items H4a-H4e were administered was randomized. Codes 1-5 and: 9. NA ============================== VAR 980752 Order of disgusted in H4 Clinton affects COLUMNS 1385 - 1385 NUMERIC MD GE 9 Rand.H4e. RANDOMIZATION Position of "disgusted" in Clinton affects series H4a-H4e --------------------------------------------------------------------- The order in which Clinton affects items H4a-H4e were administered was randomized. Codes 1-5 and: 9. NA ============================== VAR 980753 Position of H5d,e Dem and Rep Hse names COLUMNS 1386 - 1386 NUMERIC MD EQ 0, GE 9 Rand.H5d/e. RANDOMIZATION Position of Democratic and Republican House candidates in Liberal/Conservative placement series --------------------------------------------------------------------- The order in which Liberal/Conservative placements for Democratic and Republican House candidates (H5d,H5e) were administered was randomized. For the series of Liberal/Conservative placements, Clinton was always administered 1st, Gore was always administered 2nd, and the 2 House candidates were administered in random order as the 3rd and 4th names. Following the administration of the House candidate names, the names of the 2 major parties were administered in a separately randomized order as the 5th and 6th names. 448 1. Democratic House candidate administered before Republican House candidate 483 2. Republican House candidate administered before 9. NA 350 0. Inap, no Democratic/Republican House candidate (uncontested race, type race 14 or 14 in item Cand1); Washington DC ============================== VAR 980754 Position of H5d,e Dem and Rep pty names COLUMNS 1387 - 1387 NUMERIC MD GE 9 Rand.H5f/g. RANDOMIZATION Position of Democratic party and Republican party in Liberal/Conservative placement series --------------------------------------------------------------------- The order in which Liberal/Conservative placements for Democratic and Republican parties (H5f,H5g) were administered was randomized. For the series of Liberal/Conservative placements, after self-placement, Clinton was always administered 1st, Gore was always administered 2nd, and the 2 House candidates were administered in random order as the 3rd and 4th names. Following the administration of the House candidate names, the names of the 2 major parties were administered in a separately randomized order as the 5th and 6th names. 612 1. Democratic party administered before Republican party 669 2. Republican party administered before Democratic party 9. NA ============================== VAR 980755 Order of J13-15 executive level traits COLUMNS 1388 - 1388 NUMERIC MD GE 9 Rand.J13-J15. RANDOMIZATION Order of executive level (Clinton, Gore) traits series J13-J14 and Congressional level traits series J14 --------------------------------------------------------------------- This variable describes whether Congressional traits questions preceded or followed the sets of Clinton and Gore traits. Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. 642 1. Executive (Clinton and Gore) level traits before Congressional level traits 639 2. Congressional level traits before Executive level traits 9. NA ============================== VAR 980756 Position of moral J13a-e Clinton traits COLUMNS 1389 - 1389 NUMERIC MD GE 9 Rand.J13a. RANDOMIZATION Position of "is moral" in J13a-J13e Clinton traits series --------------------------------------------------------------------- Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. Codes 1-5 and: 9. NA ============================== VAR 980757 Position of cares J13a-e Clinton traits COLUMNS 1390 - 1390 NUMERIC MD GE 9 Rand.J13b. RANDOMIZATION Position of "really cares about people like you " in J13a-J13e Clinton traits series --------------------------------------------------------------------- Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. Codes 1-5 and: 9. NA ============================== VAR 980758 Position of knowl J13a-e Clinton traits COLUMNS 1391 - 1391 NUMERIC MD GE 9 Rand.J13c. RANDOMIZATION Position of "is knowledgeable" in J13a-J13e Clinton traits series --------------------------------------------------------------------- Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. Codes 1-5 and: 9. NA ============================== VAR 980759 Position of honest J13a-e Clinton traits COLUMNS 1392 - 1392 NUMERIC MD GE 9 Rand.J13d. RANDOMIZATION Position of "is honest" in J13a-J13e Clinton traits series --------------------------------------------------------------------- Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. Codes 1-5 and: 9. NA ============================== VAR 980760 Position of leader J13a-e Clinton traits COLUMNS 1393 - 1393 NUMERIC MD GE 9 Rand.J13e. RANDOMIZATION Position of "provides strong leadership" in J13a-J13e Clinton traits series --------------------------------------------------------------------- Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. Codes 1-5 and: 9. NA ============================== VAR 980761 Position of moral J13a-e Clinton traits COLUMNS 1394 - 1394 NUMERIC MD GE 9 Rand.J14a. RANDOMIZATION Position of "is moral" in J14a-J14e Gore traits series --------------------------------------------------------------------- Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. Codes 1-5 and: 9. NA ============================== VAR 980762 Position of cares J14a-e Gore traits COLUMNS 1395 - 1395 NUMERIC MD GE 9 Rand.J14b. RANDOMIZATION Position of "really cares about people like you " in J14a-J14e Gore traits series --------------------------------------------------------------------- Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. Codes 1-5 and: 9. NA ============================== VAR 980763 Position of knowledge J14a-e Gore traits COLUMNS 1396 - 1396 NUMERIC MD GE 9 Rand.J14c. RANDOMIZATION Position of "is knowledgeable" in J14a-J14e Gore traits series --------------------------------------------------------------------- Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. Codes 1-5 and: 9. NA ============================== VAR 980764 Position of honest J14a-e Gore traits COLUMNS 1397 - 1397 NUMERIC MD GE 9 Rand.J14d. RANDOMIZATION Position of "is honest" in J14a-J14e Gore traits series --------------------------------------------------------------------- Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. Codes 1-5 and: 9. NA ============================== VAR 980765 Position of leadersh J14a-e Gore traits COLUMNS 1398 - 1398 NUMERIC MD GE 9 Rand.J14e. RANDOMIZATION Position of "provides strong leadership" in J14a-J14e Gore traits series --------------------------------------------------------------------- Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. Codes 1-5 and: 9. NA ============================== VAR 980766 Congr 1st trait J15a liberal or conserv COLUMNS 1399 - 1399 NUMERIC MD GE 9 Rand.J15a. RANDOMIZATION Selection of "too liberal"/"too conservative" for 1st Congressional trait in J15b-J15d series (J15a) --------------------------------------------------------------------- This variable describes whether "too liberal" or "too conservative" was randomly selected as the text of the 1st trait administered at the Congressional level (traits of US Congress). If the response to the 1st Congressional trait was 'not too well' or 'not well at all' then a follow-up question was administered which asked how well the alternative liberal/conservative trait applied to the US Congress. Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. 606 1. 1st Congressional level trait is "too liberal" 675 2. 1st Congressional level trait is "too conservative" 9. NA ============================== VAR 980767 Position of accomplish J15 Congr traits COLUMNS 1400 - 1400 NUMERIC MD GE 9 Rand.J15b. RANDOMIZATION Position of "doesn't get much accomplished" in J15b-J15d Congressional traits series --------------------------------------------------------------------- This variable describes the position of "doesn't get much accomplished" within the set of Congressional level traits questions; the order of the 2nd-4th US Congress traits were randomized. Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. Codes 2,3,4 and: 9. NA ============================== VAR 980768 Position partisan pol J15 Congr traits COLUMNS 1401 - 1401 NUMERIC MD GE 9 Rand.J15c. RANDOMIZATION Position of "too involved in partisan politics" in J15b-J15d Congressional traits series --------------------------------------------------------------------- This variable describes the position of "too involved in partisan politics" within the set of Congressional level traits questions; the order of the 2nd-4th US Congress traits were randomized. Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. Codes 2,3,4 and: 9. NA ============================== VAR 980769 Position doesnt care J15 Congr traits COLUMNS 1402 - 1402 NUMERIC MD GE 9 Rand.J15d. RANDOMIZATION Position of "doesn't care what ordinary Americans think" in J15b-J15d Congressional traits series --------------------------------------------------------------------- This variable describes the position of "doesn't care what ordinary Americans think" within the set of Congressional level traits questions; the order of the 2nd-4th US Congress traits were randomized. Note: The series of traits questions (J13, J14, J15 questions) utilized several levels of randomization. 1. First, the order in which traits for executive level (Clinton, Gore) and Congressional level (US Congress) were administered was randomized, with Gore traits always following Clinton traits at the executive level. 2. The order in which 5 individual Clinton traits were administered was randomized. 3. The order in which 5 individual Gore traits were administered was randomized. 4. Selection of "too liberal" or "too conservative" for the text of the 1st Congressional trait was random. 5. Order of the 2nd, 3rd and 4th Congressional traits was randomized. Codes 2,3,4 and: 9. NA ============================== VAR 980770 Position Dem,Rep Hse cands K4d/e COLUMNS 1403 - 1403 NUMERIC MD EQ 0, GE 9 Rand.K4d/e. RANDOMIZATION Position of Democratic and Republican House candidates in Women's Role placement series --------------------------------------------------------------------- The order in which the Democratic and Republican House candidates were administered within the series of placements for the 7-pt Women's Role scale was randomized. Note: The series of placements on the Women's Role scale was administered as follows after self-placement: 1- Clinton placement was always first 2- Gore placement was always second 3- Democratic and Republican House candidates were administered 3rd or 4th in randomized order 4- Democratic and Republican parties were administered 5th or 6th in randomized order 461 1. Democratic House candidate administered before Republican House candidate 470 2. Republican House candidate administered before 9. NA 350 0. Inap, no Democratic/Republican House candidate (uncontested race, type race 14 or 14 in item Cand1); Washington DC ============================== VAR 980771 Position Dem,Rep parties K4f/g COLUMNS 1404 - 1404 NUMERIC MD GE 9 Rand.K4f/g. RANDOMIZATION Position of Democratic and Republican parties in Women's Role placement series --------------------------------------------------------------------- The order in which the Democratic and Republican parties were administered within the series of placements for the 7-pt Women's Role scale was randomized. Note: The series of placements on the Women's Role scale was administered as follows after self-placement: 1- Clinton placement was always first 2- Gore placement was always second 3- Democratic and Republican House candidates were administered 3rd or 4th in randomized order 4- Democratic and Republican parties were administered 5th or 6th in randomized order 638 1. Democratic party administered before Republican party 643 2. Republican party administered before Democratic party 9. NA ============================== VAR 980772 Position Dem,Rep Hse cands K6d/e COLUMNS 1405 - 1405 NUMERIC MD EQ 0, GE 9 Rand.K6d/e. RANDOMIZATION Position of Democratic and Republican House candidates in Guaranteed Jobs/Standard of Living placement series --------------------------------------------------------------------- The order in which the Democratic and Republican House candidates were administered within the series of placements for the 7-pt Guaranteed Jobs/Std Living scale was randomized. Note: The series of placements on the Guaranteed Jobs scale was administered as follows after self-placement: 1- Clinton placement was always first 2- Gore placement was always second 3- Democratic and Republican House candidates were administered 3rd or 4th in randomized order 456 1. Democratic House candidate administered before Republican House candidate 475 2. Republican House candidate administered before 9. NA 350 0. Inap, no Democratic/Republican House candidate (uncontested race, type race 14 or 14 in item Cand1); Washington DC ============================== VAR 980773 Position Dem,Rep Hse cands K8d/e COLUMNS 1406 - 1406 NUMERIC MD EQ 0, GE 9 Rand.K8d/e. RANDOMIZATION Position of Democratic and Republican House candidates in Services/Spending placement series --------------------------------------------------------------------- The order in which the Democratic and Republican House candidates were administered within the series of placements for the 7-pt Services/Spending scale was randomized. Note: The series of placements on the Services/Spending scale was administered as follows after self-placement: 1- Clinton placement was always first 2- Gore placement was always second 3- Democratic and Republican House candidates were administered 3rd or 4th in randomized order 4- Democratic and Republican parties were administered 5th or 6th in randomized order 459 1. Democratic House candidate administered before Republican House candidate 472 2. Republican House candidate administered before 9. NA 350 0. Inap, no Democratic/Republican House candidate (uncontested race, type race 14 or 14 in item Cand1); Washington DC ============================== VAR 980774 Position Dem,Rep parties K8f/g COLUMNS 1407 - 1407 NUMERIC MD GE 9 Rand.K8f/g. RANDOMIZATION Position of Democratic and Republican parties in Services/Spending placement series --------------------------------------------------------------------- The order in which the Democratic and Republican parties were administered within the series of placements for the 7-pt Services/Spending scale was randomized. Note: The series of placements on the Services/Spending scale was administered as follows after self-placement: 1- Clinton placement was always first 2- Gore placement was always second 3- Democratic and Republican House candidates were administered 3rd or 4th in randomized order 4- Democratic and Republican parties were administered 5th or 6th in randomized order 640 1. Democratic party administered before Republican party 641 2. Republican party administered before Democratic party 9. NA ============================== VAR 980775 Position Dem,Rep Hse cands M14c/d COLUMNS 1408 - 1408 NUMERIC MD EQ 0, GE 9 Rand.M14c/d. RANDOMIZATION Position of Democratic and Republican House candidates in Environmental Regulation placement series --------------------------------------------------------------------- The order in which the Democratic and Republican House candidates were administered within the series of placements for the 7-pt Environmental Regulation scale was randomized. Note: The series of placements on the Environmental Regulation scale was administered as follows after self-placement: 1- Gore placement was always first 2- Democratic and Republican House candidates were administered 2nd or 3rd in randomized order 4- Democratic and Republican parties were administered 4th or 5th in randomized order 458 1. Democratic House candidate administered before Republican House candidate 473 2. Republican House candidate administered before 9. NA 350 0. Inap, no Democratic/Republican House candidate (uncontested race, type race 14 or 14 in item Cand1); Washington DC ============================== VAR 980776 Position Dem,Rep parties M14e/f COLUMNS 1409 - 1409 NUMERIC MD GE 9 Rand.M14e/f. RANDOMIZATION Position of Democratic and Republican parties in Services/Spending placement series --------------------------------------------------------------------- The order in which the Democratic and Republican parties were administered within the series of placements for the 7-pt Environmental Regulation scale was randomized. Note: The series of placements on the Environmental Regulation scale was administered as follows after self-placement: 1- Gore placement was always first 2- Democratic and Republican House candidates were administered 2nd or 3rd in randomized order 4- Democratic and Republican parties were administered 4th or 5th in randomized order 620 1. Democratic party administered before Republican party 661 2. Republican party administered before Democratic party 9. NA ==============================