Version 04 Codebook ------------------- CODEBOOK VARIABLE DOCUMENTATION 2000 PILOT STUDY (2000.PN) NATIONAL ELECTION STUDIES 2000 PILOT VARIABLE ENTRIES This file should be opened in fixed font, 10 pitch or smaller, with 1-inch margins. Codebook introductory material and appendix material are in separate files. Note: the 2000 Pilot dataset is enhanced with variables from the 1998 Pre-Post Study. Several additional 2000 Pilot variables appear at the end of the file after the 1998 variables. ============================== VAR VVERSION Version number ---------------------------------------------------------- This variable in the data file identifies the version number of the data file itself. The version number of the codebook or the version number of the data definition (.sas, .sps) files may differ since revision to a single component (codebook; data; .sas/.sps files) may result in the rerelease of only that one component. ============================== VAR VDSETNO NES dataset number ---------------------------------------------------------- 2000.PN ============================== VAR VICPSRNO ICPSR Archive Number ---------------------------------------------------------- 2936 ============================== VAR V00P001 Process.1 1998 Post ID ---------------------------------------------------------- 1998 Post-election ID number ============================== VAR V00P002 Process.2. Group Number --------------------------------------------------------- Political knowledge level (see introduction to codebook). Constructed from 1998 political knowledge items. 1. Low 2. Low-Medium 3. Medium 4. Medium-High 5. High Cumulative V00P002 Frequency Frequency ------------------------------- 1 85 85 2 74 159 3 89 248 4 86 334 5 90 424 ============================== VAR V00P003 Q2A Generally speaking, would you say that most people can be trusted, or that you can't be too careful in dealing with people? ---------------------------------------------------------------- Respondents were randomly assigned to 2 of the 3 trust items in Q2A-Q2C and were asked the remaining trust item in the section Q3 (Q3AT-Q3C). The order of items Q2A, Q2B, Q2C was randomized as described in Q2N. 1. Most people can be trusted 2. Or you can't be too careful 8. Don't know 9. Refused 0. NA; Inap, Q3a and Q3at Cumulative V00P003 Frequency Frequency ------------------------------- 0 156 156 1 142 298 2 120 418 8 4 422 9 2 424 ============================== VAR V00P004 Q2B Do you think most people would try to TAKE ADVANTAGE of you if they got the chance or would they TRY TO BE FAIR? --------------------------------------------------------------- Respondents were randomly assigned to 2 of the 3 trust items in Q2A-Q2C and were asked the remaining trust item in the section Q3 (Q3AT-Q3C). The order of items Q2A, Q2B, Q2C was randomized as described in Q2N. 1. Take advantage 2. Or try to be fair 8. Don't know 9. Refused 0. NA; Inap, Q3b and Q3bt Cumulative V00P004 Frequency Frequency ------------------------------- 0 125 125 1 83 208 2 209 417 8 6 423 9 1 424 ============================== VAR V00P005 Q2C Would you say that most of the time people TRY TO BE HELPFUL, or that they are JUST LOOKING OUT FOR THEMSELVES? ---------------------------------------------------------------- Respondents were randomly assigned to 2 of the 3 trust items in Q2A-Q2C and were asked the remaining trust item in the section Q3 (Q3AT-Q3C). The order of items Q2A, Q2B, Q2C was randomized as described in Q2N. 1. Try to be helpful 2. Or just looking out for themselves 8. Don't know 9. Refused 0. Inap, Q3c and Q3ct Cumulative V00P005 Frequency Frequency ------------------------------- 0 143 143 1 195 338 2 76 414 8 8 422 9 2 424 ============================== VAR V00P006 Q2N. Order of trust items ---------------------------------------------------------------- Respondents were randomly assigned to 2 of the 3 trust items in Q2A-Q2C and were asked the remaining trust item in the section Q3 (Q3AT-Q3C). The first digit corresponds to the order in which Q2A was asked, the second digit corresponds to the order in which Q2B was asked, and the third digit corresponds to the order in which Q2C was asked. Note that any question ordered 3rd was asked in the section Q3 and thus is coded missing in section Q2. 123. Q2A 1st, Q2B 2nd, Q2C 3rd 132. Q2A 1st, Q2C 2nd, Q2B 3rd 213. Q2B 1st, Q2A 2nd, Q2C 3rd 231. Q2B 1st, Q2C 2nd, Q2A 3rd 312. Q2C 1st, Q2A 2nd, Q2B 3rd 321. Q2C 1st, Q2B 2nd, Q2A 3rd Cumulative V00P006 Frequency Frequency ------------------------------- 123 73 73 132 60 133 213 70 203 231 65 268 312 71 339 321 85 424 ============================== VAR V00P007 QN1A How long have you lived in your present community? ---------------------------------------------------------------- {IWR: 1) IF R GIVES YOU *ONLY* MONTHS OR YEARS, ENTER THE ONE THEY GIVE YOU AND ENTER 0 FOR THE OTHER. 2) ENTER 96 AT MONTH IF R SAYS "ALL MY LIFE".} Months. Codes 0-18 and: 96. 'All my life' Cumulative V00P007 Frequency Frequency ------------------------------- 0 364 364 1 2 366 3 1 367 5 2 369 6 15 384 7 1 385 9 1 386 18 2 388 96 36 424 ============================== VAR V00P008 QN1B How long have you lived in your present community? ---------------------------------------------------------------- {IWR: 1) IF R GIVES YOU *ONLY* MONTHS OR YEARS, ENTER THE ONE THEY GIVE YOU AND ENTER 0 FOR THE OTHER. 2) ENTER 96 AT MONTH IF R SAYS "ALL MY LIFE".} Years Codes 0-90 and: 96. 'All my life' Cumulative V00P008 Frequency Frequency ------------------------------- 0 44 44 1 10 54 2 16 70 3 17 87 4 22 109 5 20 129 6 11 140 7 12 152 8 6 158 9 11 169 10 17 186 11 5 191 12 10 201 13 6 207 14 7 214 15 14 228 16 8 236 17 5 241 18 2 243 19 4 247 20 13 260 21 5 265 22 5 270 23 6 276 24 2 278 25 16 294 26 5 299 27 2 301 28 3 304 29 3 307 30 16 323 31 3 326 32 4 330 33 1 331 34 2 333 35 9 342 36 2 344 37 3 347 38 3 350 39 1 351 40 11 362 41 1 363 42 4 367 43 8 375 44 2 377 45 6 383 47 1 384 48 4 388 49 1 389 50 8 397 51 1 398 52 2 400 53 1 401 54 1 402 57 1 403 59 1 404 60 3 407 63 1 408 64 1 409 65 2 411 67 2 413 70 1 414 72 1 415 73 1 416 74 1 417 75 1 418 79 1 419 88 1 420 90 1 421 96 3 424 ============================== VAR V00P009 QN2 I'm going to ask you a few questions about the people you regularly see in your neighborhood. In general, with these people in mind, would you say that they keep their promises all of the time, most of the time, some of the time, hardly ever, or never? ---------------------------------------------------------------- 1. All of the time 2. Most of the time 3. Some of the time 4. Hardly ever 5. Or never 8. Don't know 9. Refuse Cumulative V00P009 Frequency Frequency ------------------------------- 1 70 70 2 254 324 3 60 384 4 6 390 5 2 392 8 30 422 9 2 424 ============================== VAR V00P010 QN2A. Still thinking about those people you see regularly in your neighborhood, would you say that they are JUST LOOKING OUT FOR THEMSELVES all of the time, most of the time, some of the time, hardly ever, or never? --------------------------------------------------------------- 1. All of the time 2. Most of the time 3. Some of the time 4. Hardly ever 5. Or never 8. Don't know 9. Refused Cumulative V00P010 Frequency Frequency ------------------------------- 1 12 12 2 96 108 3 209 317 4 78 395 5 11 406 8 16 422 9 2 424 ============================== VAR V00P011 QN2B. Would you say those people you see regularly in your neighborhood TRY TO TAKE ADVANTAGE OF OTHERS all of the time, most of the time, some of the time, hardly ever, or never? -------------------------------------------------------------- 1. All of the time 2. Most of the time 3. Some of the time 4. Hardly ever 5. Or never 8. Don't know 9. Refused Cumulative V00P011 Frequency Frequency ------------------------------- 1 3 3 2 10 13 3 96 109 4 222 331 5 74 405 8 18 423 9 1 424 ============================== VAR V00P012 QN2C. (Again, thinking about those people you see in your neighborhood) Would you say they TREAT OTHERS WITH RESPECT all of the time, most of the time, some of the time, hardly ever, or never? --------------------------------------------------------------- 1. All of the time 2. Most of the time 3. Some of the time 4. Hardly ever 5. Or never 8. Don't know 9. Refused Cumulative V00P012 Frequency Frequency ------------------------------- 1 70 70 2 273 343 3 58 401 4 12 413 5 2 415 8 8 423 9 1 424 ============================== VAR V00P013 QN3A Now, I'm going to read some descriptions. Please tell me how well THE following words or phrases describe the people in your neighborhood. The first phrase is HONEST. Would you say that HONEST describes the people in your neighborhood extremely well, quite well, not too well, or not well at all? ---------------------------------------------------------------- 1. Extremely well 2. Quite well 3. Not too well 4. Or not well at all 8. Don't know 9. Refuse Cumulative V00P013 Frequency Frequency ------------------------------- 1 93 93 2 273 366 3 35 401 4 5 406 8 16 422 9 2 424 ============================== VAR V00P014 Q3NB The next phrase is IRRESPONSIBLE. Would you say that IRRESPONSIBLE describes the people in your neighborhood extremely well, quite well, not too well, or not well at all? ---------------------------------------------------------------- 1. Extremely well 2. Quite well 3. Not too well 4. Or not well at all 8. Don't know 9. Refuse Cumulative V00P014 Frequency Frequency ------------------------------- 1 14 14 2 77 91 3 131 222 4 181 403 8 19 422 9 2 424 ============================== VAR V00P015 Q3NC The next phrase is COURTEOUS (polite, considerate). Would you say that COURTEOUS describes the people in your neighborhood extremely well, quite well, not too well, or not well at all? ---------------------------------------------------------------- 1. Extremely well 2. Quite well 3. Not too well 4. Or not well at all 8. Don't know 9. Refuse Cumulative V00P015 Frequency Frequency ------------------------------- 1 109 109 2 256 365 3 46 411 4 8 419 8 3 422 9 2 424 ============================== VAR V00P016 Q3ND The next phrase is UNCOOPERATIVE. Would you say that UNCOOPERATIVE describes the people in your neighborhood extremely well, quite well, not too well, or not well at all? ---------------------------------------------------------------- 1. Extremely well 2. Quite well 3. Not too well 4. Or not well at all 8. Don't know 9. Refuse Cumulative V00P016 Frequency Frequency ------------------------------- 1 23 23 2 69 92 3 153 245 4 154 399 8 23 422 9 2 424 ============================== VAR V00P017 QE4 How often would you say political candidates running for Congress and the Presidency say things that are not respectful to people like you? Would you say constantly, usually, sometimes, rarely, or never? ---------------------------------------------------------------- 1. Constantly 2. Usually 3. Sometimes 4. Rarely 5. Or never 8. Don't know 9. Refuse Cumulative V00P017 Frequency Frequency ------------------------------- 1 22 22 2 49 71 3 224 295 4 98 393 5 11 404 8 16 420 9 4 424 ============================== VAR V00P018 QE5 How much respect do you think political candidates running for Congress and the Presidency usually show toward the people they are running against? Would you say a great deal, quite a bit, some, a little, or none at all? ---------------------------------------------------------------- 1. A great deal 2. Quite a bit 3. Some 4. A little 5. Or none at all 8. Don't know 9. Refuse Cumulative V00P018 Frequency Frequency ------------------------------- 1 11 11 2 37 48 3 185 233 4 126 359 5 61 420 8 4 424 ============================== VAR V00P019 QE9A How often would you say political candidates running for Congress and the Presidency make campaign promises they have no intention of keeping? Would you say constantly, usually, sometimes, rarely, or never? --------------------------------------------------------------- 1. Constantly 2. Usually 3. Sometimes 4. Rarely 5. Or never 8. Don't know 9. Refused Cumulative V00P019 Frequency Frequency ------------------------------- 1 73 73 2 129 202 3 185 387 4 28 415 5 5 420 8 3 423 9 1 424 ============================== VAR V00P020 QE9B If we had elections more often, would members of Congress and the President pay more attention to people like you, less attention to people like you, or would it have no effect on how much attention the President and Congress pay to people like you? --------------------------------------------------------------- 1. More attention 2. Less attention 3. Or have no effect 8. Don't know 9. Refused Cumulative V00P020 Frequency Frequency ------------------------------- 1 150 150 2 47 197 3 209 406 8 16 422 9 2 424 ============================== VAR V00P021 QW1 We'd like to know if you are working now, temporarily laid off, or are you unemployed, retired, permanently disabled, a homemaker, or a student? --------------------------------------------------------------- {IWR: IF THE R IS TEMPORARILY DISABLED, CHOOSE 2 "TEMPORARILY LAID OFF."} 1. Working now 2. Temporarily Laid off (INCLUDE TEMPORARILY DISABLED HERE) 3. Unemployed 4. Retired 5. Permanently Disabled 6. A Homemaker 7. Or a student 8. Don't know 9. Refused Cumulative V00P021 Frequency Frequency ------------------------------- 1 235 235 2 8 243 3 7 250 4 101 351 5 15 366 6 37 403 7 20 423 8 1 424 ============================== VAR V00P022 QW2A How long have you worked for your current employer? ---------------------------------------------------------------- {IWR: IF R GIVES YOU *ONLY* MONTHS OR YEARS, ENTER THE ONE THEY GIVE YOU AND ENTER 0 FOR THE OTHER.} Months coded and: 98. Don't know 99. Refused 88. Inap, not coded 1 in QW1 Cumulative V00P022 Frequency Frequency ------------------------------- 0 192 192 1 2 194 2 2 196 3 3 199 4 2 201 5 3 204 6 16 220 7 2 222 8 5 227 9 1 228 11 1 229 12 1 230 14 1 231 18 1 232 88 189 421 98 2 423 99 1 424 ============================== VAR V00P023 QW2B How long have you worked for your current employer? ---------------------------------------------------------------- {IWR: IF R GIVES YOU *ONLY* MONTHS OR YEARS, ENTER THE ONE THEY GIVE YOU AND ENTER 0 FOR THE OTHER.} Years coded and: 98. Don't know 99. Refused 88. Inap, not coded 1 in QW1 Cumulative V00P023 Frequency Frequency ------------------------------- 0 26 26 1 18 44 2 27 71 3 23 94 4 12 106 5 13 119 6 7 126 7 7 133 8 5 138 9 6 144 10 14 158 11 4 162 12 5 167 13 6 173 14 5 178 15 13 191 16 3 194 18 2 196 19 1 197 20 9 206 21 1 207 22 5 212 24 2 214 25 3 217 26 2 219 27 1 220 28 2 222 29 1 223 30 2 225 31 2 227 33 2 229 35 1 230 42 1 231 62 1 232 88 189 421 98 2 423 99 1 424 ============================== VAR V00P024 QW3 In your current position, do you spend time during the day with other people or are you pretty much by yourself? ---------------------------------------------------------------- 1. With other people 2. Or by yourself 8. Don't know 9. Refuse 0. Inap, not coded 1 in QW1 Cumulative V00P024 Frequency Frequency ------------------------------- 0 189 189 1 210 399 2 24 423 8 1 424 ============================== VAR V00P025 QW4 Aside from your regular duties at work, in the past twelve months, have you worked with others from your workplace to deal with some common issue or problem? ---------------------------------------------------------------- 1. Yes 2. No 8. Don't know 9. Refuse 0. Inap, not coded 1 in QW1 Cumulative V00P025 Frequency Frequency ------------------------------- 0 189 189 1 138 327 2 97 424 ============================== VAR V00P026 QWT1 I'm going to ask you a few questions about the people you regularly see at work. In general, with these people in mind, would you say that they keep their promises all of the time, most of the time, some of the time, hardly ever, or never? ---------------------------------------------------------------- 1. All of the time 2. Most of the time 3. Some of the time 4. Hardly ever 5. Or never 8. Don't know 9. Refuse 0. Inap, not coded 1 in QW1 Cumulative V00P026 Frequency Frequency ------------------------------- 0 189 189 1 28 217 2 147 364 3 45 409 4 10 419 5 2 421 8 3 424 ============================== VAR V00P027 QWT2A. Still thinking about those people you see regularly at work, would you say that they are JUST LOOKING OUT FOR THEMSELVES all of the time, most of the time, some of the time, hardly ever, or never? ---------------------------------------------------------------- 1. All of the time 2. Most of the time 3. Some of the time 4. Hardly ever 5. Or never 8. Don't know 9. Refuse 0. Inap, not coded 1 in QW1 Cumulative V00P027 Frequency Frequency ------------------------------- 0 189 189 1 14 203 2 62 265 3 102 367 4 47 414 5 8 422 8 2 424 ============================== VAR V00P028 QWT2B. Would you say those people you see regularly at work TRY TO TAKE ADVANTAGE OF OTHERS all of the time, most of the time, some of the time, hardly ever, or never? ---------------------------------------------------------------- 1. All of the time 2. Most of the time 3. Some of the time 4. Hardly ever 5. Or never 8. Don't know 9. Refuse 0. Inap, not coded 1 in QW1 Cumulative V00P028 Frequency Frequency ------------------------------- 0 189 189 1 2 191 2 14 205 3 92 297 4 104 401 5 21 422 8 2 424 ============================== VAR V00P029 QWT2C. (Again, thinking about those people you see regularly at work) Would you say that they TREAT OTHERS WITH RESPECT all of the time, most of the time, some of the time, hardly ever, or never? ---------------------------------------------------------------- 1. All of the time 2. Most of the time 3. Some of the time 4. Hardly ever 5. Or never 8. Don't know 9. Refuse 0. Inap, not coded 1 in QW1 Cumulative V00P029 Frequency Frequency ------------------------------- 0 189 189 1 30 219 2 138 357 3 59 416 4 7 423 5 1 424 ============================== VAR V00P030 QWT3A Now, I'm going to read some descriptions. Please tell me how well the following words or phrases describe the people you work with. The first phrase is HONEST. Would you say that HONEST describes the people you work with extremely well, quite well, not too well, or not well at all? ---------------------------------------------------------------- 1. Extremely well 2. Quite well 3. Not too well 4. Or not well at all 8. Don't know 9. Refuse 0. Inap, not coded 1 in QW1 Cumulative V00P030 Frequency Frequency ------------------------------- 0 189 189 1 61 250 2 137 387 3 28 415 4 7 422 8 2 424 ============================== VAR V00P031 QWT3B The next phrase is IRRESPONSIBLE. Would you say that IRRESPONSIBLE describes the people you work with extremely well, quite well, not too well, or not well at all? ---------------------------------------------------------------- 1. Extremely well 2. Quite well 3. Not too well 4. Or not well at all 8. Don't know 9. Refuse 0. Inap, not coded 1 in QW1 Cumulative V00P031 Frequency Frequency ------------------------------- 0 189 189 1 12 201 2 39 240 3 83 323 4 99 422 8 2 424 ============================== VAR V00P032 QWT3C The next phrase is COURTEOUS (polite, considerate). Would you say that COURTEOUS describes the people you work with extremely well, quite well, not too well, or not well at all? ---------------------------------------------------------------- 1. Extremely well 2. Quite well 3. Not too well 4. Or not well at all 8. Don't know 9. Refuse 0. Inap, not coded 1 in QW1 Cumulative V00P032 Frequency Frequency ------------------------------- 0 189 189 1 56 245 2 142 387 3 27 414 4 8 422 8 2 424 ============================== VAR V00P033 QWT3D The next phrase is UNCOOPERATIVE. Would you say that UNCOOPERATIVE describes the people you work with extremely well, quite well, not too well, or not well at all? ---------------------------------------------------------------- 1. Extremely well 2. Quite well 3. Not too well 4. Or not well at all 8. Don't know 9. Refuse 0. Inap, not coded 1 in QW1 Cumulative V00P033 Frequency Frequency ------------------------------- 0 189 189 1 15 204 2 48 252 3 74 326 4 95 421 8 2 423 9 1 424 ============================== VAR V00P034 QP1 During the past 12 months, have you worked with other people to deal with some issue facing your community? --------------------------------------------------------------- 1. Yes 2. No 8. Don't know 9. Refuse Cumulative V00P034 Frequency Frequency ------------------------------- 1 151 151 2 271 422 8 1 423 9 1 424 ============================== VAR V00P035 QP2. During the past twelve months, have you telephoned, written a letter to, or visited a government official about a public issue? ---------------------------------------------------------------- 1. Yes 2. No 8. Don't know 9. Refuse Cumulative V00P035 Frequency Frequency ------------------------------- 1 94 94 2 330 424 ============================== VAR V00P036 QP3. During the past twelve months, did you attend a meeting about an issue facing your community or schools? --------------------------------------------------------------- 1. Yes 2. No 8. Don't know 9. Refuse Cumulative V00P036 Frequency Frequency ------------------------------- 1 155 155 2 269 424 ============================== VAR V00P037 QP4 I am going to read you a list of organizations that some people belong to. (PAUSE) There are labor unions, associations of people who do the same kinds of work, fraternal groups such as Lions or Kiwanis, hobby clubs or sports teams, groups working on political issues, community or school groups, and so on. Not including membership in a local church or synagogue, (PAUSE) are you a member of any organizations? --------------------------------------------------------------- 1. Yes 2. No 8. Don't know 9. Refuse Cumulative V00P037 Frequency Frequency ------------------------------- 1 188 188 2 236 424 ============================== VAR V00P038 QP4A How many organizations are you currently a member of? -------------------------------------------------------------- 1. 1 organization 2. 2 organizations 3. 3 organizations 4. 4 organizations 5. 5 organizations 6. 6 organizations 7. 7 organizations 8. 8 organizations 9. 9 organizations 10. 10 organizations 11. More than 10 99. Refuse 88. Inap, 2 in QP4 Cumulative V00P038 Frequency Frequency ------------------------------- 1 59 59 2 65 124 3 38 162 4 12 174 5 5 179 6 5 184 8 2 186 11 2 188 88 236 424 ============================== VAR V00P039 QP4B How many organizations are you currently a member of? -------------------------------------------------------------- Please record number of organizations (11 - 25) 99. Refuse 88. Inap, not coded 11 in QP4A Cumulative V00P039 Frequency Frequency ------------------------------- 11 1 1 12 1 2 88 422 424 ============================== VAR V00P040 QP4AA. If you average across the past twelve months, about how many hours per week did you spend doing things with or for your organization? ---------------------------------------------------------------- RECORD NUMBER (0 - 96) 98. Don't know 99. Refused 88. Inap, not coded 1 in QP4A Cumulative V00P040 Frequency Frequency ------------------------------- 0 18 18 1 13 31 2 6 37 3 3 40 4 2 42 5 1 43 6 1 44 10 2 46 12 2 48 14 1 49 15 2 51 21 1 52 25 1 53 30 1 54 40 1 55 88 365 420 98 4 424 ============================== VAR V00P041 QP4AB. Does the organization to which you belong ever try to influence what schools or government does? ------------------------------------------------------------- 1. Yes 2. No 8. Don't know 9. Refused 0. Inap, not coded 1 in QP4A Cumulative V00P041 Frequency Frequency ------------------------------- 0 365 365 1 25 390 2 32 422 8 1 423 9 1 424 ============================== VAR V00P042 QP4BA. If you average across the past twelve months, about how many hours per week did you spend doing things with or for your organizations? -------------------------------------------------------------- 98. Don't know 99. Refused 88. Inap, not coded 2-11 in QP4A Cumulative V00P042 Frequency Frequency ------------------------------- 0 12 12 1 24 36 2 30 66 3 10 76 4 8 84 5 7 91 6 8 99 8 3 102 10 6 108 12 1 109 15 2 111 16 2 113 30 1 114 40 2 116 50 1 117 60 1 118 70 1 119 88 295 414 96 1 415 98 9 424 ============================== VAR V00P043 QP4BB. Do any of the organizations to which you belong ever try to influence what schools or government does? ------------------------------------------------------------- 1. Yes 2. No 98. Don't know 99. Refused 00. Inap, not coded 2-11 in QP4A Cumulative V00P043 Frequency Frequency ------------------------------- 0 295 295 1 81 376 2 47 423 98 1 424 ============================== VAR V00P044 Q3at On the next question, we're going to do something a little different. I'm going to ask you to THINK ALOUD as you answer. By this I mean I want you to tell me EVERYTHING you are thinking from the time you first hear the question until you decide what your answer will be. For example, if you were to ask me how many windows I have in my house, I would say "Well, I have 5 rooms downstairs and in the living room there are 3 windows and in the kitchen there is 1." This is what I mean by thinking aloud. There are no right or wrong answers; I just want you to tell me everything that comes to mind as you answer the question. Okay? Generally speaking, (would you say that most people can be trusted, or that you can't be too careful in dealing with people?) Please tell me what you are thinking... ---------------------------------------------------------------- 1. Text response 8. Don't know 9. Refused 0. Inap, Q2A Cumulative V00P044 Frequency Frequency ------------------------------- 0 273 273 1 151 424 ============================== VAR V00P045 Q3a (IWR IF NECESSARY READ: "So would you say most people can trusted or that you can't be too careful in dealing with people?") ---------------------------------------------------------------- 1. Most people can be trusted 2. You can't be too careful 8. Don't know 9. Refused 0. Inap, Q2A Cumulative V00P045 Frequency Frequency ------------------------------- 0 273 273 1 81 354 2 66 420 8 3 423 9 1 424 ============================== VAR V00P046 Q3bt Do you think that most people would try to TAKE ADVANTAGE of you if they got the chance or would they TRY TO BE FAIR? Please tell me what you are thinking... ---------------------------------------------------------------- 1. Text response 8. Don't know 9. Refused 0. Inap, Q2B Cumulative V00P046 Frequency Frequency ------------------------------- 0 304 304 1 120 424 ============================== VAR V00P047 Q3b (IWR IF NECESSARY READ: "So do you think most people would try to take advantage of if they got the chance or would they try to be fair?") ---------------------------------------------------------------- 1. Most people take advantage 2. They try to be fair 8. Don't know 9. Refused 0. Inap, Q2B Cumulative V00P047 Frequency Frequency ------------------------------- 0 304 304 1 31 335 2 83 418 8 4 422 9 2 424 ============================== VAR V00P048 Q3ct Would you say that most of the time people TRY TO BE HELPFUL, or that they are mostly JUST LOOKING OUT FOR THEMSELVES? Please tell me what you are thinking... ---------------------------------------------------------------- 1. Text response 8. Don't know 9. Refused 0. Inap, Q2C Cumulative V00P048 Frequency Frequency ------------------------------- 0 281 281 1 142 423 9 1 424 ============================== VAR V00P049 Q3c (IWR IF NECESSARY READ: "So would you say that most of the time people try to be helpful, or they are mostly just looking out for themselves?") ---------------------------------------------------------------- {IWR: THE R DOES *NOT* NEED TO CONTINUE THINKING ALOUD FROM HERE ON, JUST ANSWER THE Q.} 1. People try to be helpful 2. Looking out for themselves 8. Don't know 9. Refused 0. Inap, Q2C Cumulative V00P049 Frequency Frequency ------------------------------- 0 281 281 1 113 394 2 27 421 8 3 424 ============================== VAR V00P050 F0 Selection summary ---------------------------------------------------------------- Respondents were randomly selected for administration of either "best impression" or "worst impression" series. Once selected for "best" or "worse", the respondent was then randomly assigned to a version; there were 2 versions of both "best" (F1 and F2) and "worse" (F3 and F4). 1. Best impression 1 selected (F1 series) 2. Best impression 2 selected (F2 series) 3. Worst impression 1 selected (F3 series) 4. Worst impression 2 selected (F4 series) Cumulative V00P050 Frequency Frequency ------------------------------- 1 97 97 2 115 212 3 105 317 4 107 424 ============================== VAR V00P051 F1A The next questions are about how you would make the best impression on me that you could. As you answer, please imagine that you are only trying to present yourself in the best light. The first question is: IF YOU WERE TRYING TO MAKE THE BEST IMPRESSION ON ME THAT YOU COULD, would you say that you attend religious services every week, almost every week, once or twice a month, a few times a year, or never? ---------------------------------------------------------------- 1. Every week 2. Almost every week 3. Once or twice a month 4. A few times a year 5. Or never 8. Don't know 9. Refused 0. Inap, F1 series (Best 1) not selected Cumulative V00P051 Frequency Frequency ------------------------------- 0 327 327 1 41 368 2 10 378 3 9 387 4 20 407 5 16 423 9 1 424 ============================== VAR V00P052 F1B 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. IF YOU WERE TRYING TO MAKE THE BEST IMPRESSION ON ME THAT YOU COULD, would you say that 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? ---------------------------------------------------------------- 1. Most of the time 2. Some of the time 3. Only now and then 4. Or hardly at all 8. Don't know 9. Refuse 0. Inap, F1 series (Best 1) not selected Cumulative V00P052 Frequency Frequency ------------------------------- 0 327 327 1 53 380 2 25 405 3 12 417 4 5 422 8 2 424 ============================== VAR V00P053 F1C IF YOU WERE TRYING TO MAKE THE BEST IMPRESSION ON ME THAT YOU COULD, would you say that federal spending on social security should be increased, decreased, or kept about the same? ---------------------------------------------------------------- 1. Increased 2. Decreased 3. Or kept about the same 8. Don't know 9. Refuse 0. Inap, F1 series (Best 1) not selected Cumulative V00P053 Frequency Frequency ------------------------------- 0 327 327 1 61 388 2 7 395 3 25 420 8 4 424 ============================== VAR V00P054 F1D Some people say that the government in Washington should see to it that white and black children go to the same schools. Others claim that this is not the government's business. IF YOU WERE TRYING TO MAKE THE BEST IMPRESSION ON ME THAT YOU COULD, would you say that the government in Washington should see to it that white and black children go to the same schools or stay out of this area as it is not the government's business? ---------------------------------------------------------------- 1. See to it that white and black children go to the same schools 2. Or stay out of this area as it is not the government's business 3. (IWR: IF R SAYS "It depends" USE THIS OPTION) 8. Don't know 9. Refuse 0. Inap, F1 series (Best 1) not selected Cumulative V00P054 Frequency Frequency ------------------------------- 0 327 327 1 45 372 2 42 414 3 5 419 8 5 424 ============================== VAR V00P055 F2A The next questions are about how you would make the best impression on me that you could. As you answer, please imagine that you are only trying to present yourself in the best light. 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. IF YOU WERE TRYING TO MAKE THE BEST IMPRESSION ON ME THAT YOU COULD, would you say that you voted in the 1998 Congressional elections? ---------------------------------------------------------------- 1. Yes, voted 2. No, did not vote 8. Don't know 9. Refused 0. Inap, F2 series (Best 2) not selected Cumulative V00P055 Frequency Frequency ------------------------------- 0 309 309 1 90 399 2 21 420 8 3 423 9 1 424 ============================== VAR V00P056 F2B A law has been proposed that would limit the members of Congress to no more than 12 consecutive years of service in that office. IF YOU WERE TRYING TO MAKE THE BEST IMPRESSION ON ME THAT YOU COULD would you say you favor or oppose such a law? ---------------------------------------------------------------- 1. Favor 2. Or oppose 8. Don't know 9. Refuse 0. Inap, F2 series (Best 2) not selected Cumulative V00P056 Frequency Frequency ------------------------------- 0 309 309 1 83 392 2 20 412 8 10 422 9 2 424 ============================== VAR V00P057 F2C IF YOU WERE TRYING TO MAKE THE BEST IMPRESSION ON ME THAT YOU COULD, would you say your religion provides no guidance in your day-to-day living, some guidance, quite a bit of guidance, or a great deal of guidance in your day-to-day life? ---------------------------------------------------------------- 1. No guidance 2. Some 3. Quite a bit 4. Or a great deal 8. Don't know 9. Refuse 0. Inap, F2 series (Best 2) not selected Cumulative V00P057 Frequency Frequency ------------------------------- 0 309 309 1 10 319 2 32 351 3 18 369 4 51 420 8 3 423 9 1 424 ============================== VAR V00P058 F2D IF YOU WERE TRYING TO MAKE THE BEST IMPRESSION ON ME THAT YOU COULD, how many days in the past week would you say that you watched the local TV news? ---------------------------------------------------------------- 0. None 1. One day 2. Two days 3. Three days 4. Four days 5. Five days 6. Six days 7. Every day 98. Don't know 99. Refuse 88. Inap, F2 series (Best 2) not selected Cumulative V00P058 Frequency Frequency ------------------------------- 0 6 6 1 4 10 2 3 13 3 8 21 4 5 26 5 14 40 6 6 46 7 65 111 88 309 420 98 2 422 99 2 424 ============================== VAR V00P059 F3A The next questions are about how you would make the worst impression on me that you could. As you answer, please imagine that you are only trying to present yourself in the worst light. The first question is: IF YOU WERE TRYING TO MAKE THE WORST IMPRESSION ON ME THAT YOU COULD, would you say that you attend religious services every week, almost every week, once or twice a month, a few times a year, or never? ---------------------------------------------------------------- 1. Every week 2. Almost every week 3. Once or twice a month 4. A few times a year 5. Or Never 8. Don't know 9. Refused 0. Inap, F3 series (Worst 1) not selected Cumulative V00P059 Frequency Frequency ------------------------------- 0 319 319 1 9 328 2 1 329 3 2 331 4 11 342 5 73 415 8 2 417 9 7 424 ============================== VAR V00P060 F3B 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. IF YOU WERE TRYING TO MAKE THE WORST IMPRESSION ON ME THAT YOU COULD, would you say that 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? ---------------------------------------------------------------- 1. Most of the time 2. Some of the time 3. Only now and then 4. Or hardly at all 8. Don't know 9. Refused 0. Inap, F3 series (Worst 1) not selected Cumulative V00P060 Frequency Frequency ------------------------------- 0 319 319 1 18 337 2 8 345 3 8 353 4 64 417 8 4 421 9 3 424 ============================== VAR V00P061 F3C IF YOU WERE TRYING TO MAKE THE WORST IMPRESSION ON ME THAT YOU COULD, would you say that federal spending on social security should be increased, decreased, or kept about the same? ---------------------------------------------------------------- 1. Increased 2. Decreased 3. Or kept about the same 8. Don't know 9. Refuse 0. Inap, F3 series (Worst 1) not selected Cumulative V00P061 Frequency Frequency ------------------------------- 0 319 319 1 39 358 2 44 402 3 17 419 8 2 421 9 3 424 ============================== VAR V00P062 F3D Some people say that the government in Washington should see to it that white and black children go to the same schools. Others claim that this is not the government's business. IF YOU WERE TRYING TO MAKE THE WORST IMPRESSION ON ME THAT YOU COULD, would you say that the government in Washington should see to it that white and black children go to the same schools or stay out of this area as it is not the government's business? ---------------------------------------------------------------- 1. See to it that white and black children go to the same schools 2. Or stay out of this area as it is not the government's business 3. (IWR: IF R SAYS "It depends" USE THIS OPTION) 8. Don't know 9. Refuse 0. Inap, F3 series (Worst 1) not selected Cumulative V00P062 Frequency Frequency ------------------------------- 0 319 319 1 26 345 2 72 417 3 1 418 8 3 421 9 3 424 ============================== VAR V00P063 F4A The next questions are about how you would make the worst impression on me that you could. As you answer, please imagine that you are only trying to present yourself in the worst light. 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. IF YOU WERE TRYING TO MAKE THE WORST IMPRESSION ON ME THAT YOU COULD, would you say that you voted in the 1998 Congressional elections? ---------------------------------------------------------------- 1. Yes, voted 2. No, did not vote 8. Don't know 9. Refused 0. Inap, F4 series (Worst 2) not selected Cumulative V00P063 Frequency Frequency ------------------------------- 0 317 317 1 28 345 2 72 417 8 5 422 9 2 424 ============================== VAR V00P064 F4B A law has been proposed that would limit the members of Congress to no more than 12 consecutive years of service in that office. IF YOU WERE TRYING TO MAKE THE WORST IMPRESSION ON ME THAT YOU COULD, would you say you favor or oppose such a law? ---------------------------------------------------------------- 1. Favor 2. Or oppose 8. Don't know 9. Refuse 0. Inap, F4 series (Worst 2) not selected Cumulative V00P064 Frequency Frequency ------------------------------- 0 317 317 1 51 368 2 43 411 8 9 420 9 4 424 ============================== VAR V00P065 F4C IF YOU WERE TRYING TO MAKE THE WORST IMPRESSION ON ME THAT YOU COULD, would you say your religion provides no guidance in your day-to-day living, some guidance, quite a bit of guidance, or a great deal of guidance in your day-to-day life? ---------------------------------------------------------------- 1. No guidance 2. Some 3. Quite a bit 4. Or a great deal 8. Don't know 9. Refuse 0. Inap, F4 series (Worst 2) not selected Cumulative V00P065 Frequency Frequency ------------------------------- 0 317 317 1 58 375 2 10 385 3 7 392 4 27 419 8 2 421 9 3 424 ============================== VAR V00P066 F4D IF YOU WERE TRYING TO MAKE THE WORST IMPRESSION ON ME THAT YOU COULD, how many days in the past week would you say that you watched the local TV news? ---------------------------------------------------------------- 0. None 1. One day 2. Two days 3. Three days 4. Four days 5. Five days 6. Six days 7. Every day 98. Don't know 99. Refuse 88. Inap, F4 series (Worst 2) not selected (IWR: WE ARE NO LONGER ASKING THE R TO ANSWER IN TERMS OF MAKING THE BEST/WORST IMPRESSION ON YOU. IF THEY ASK ABOUT THIS SAY: "This question does not refer to your trying to make a best/worst impression on me. It just asks for your answer.") Cumulative V00P066 Frequency Frequency ------------------------------- 0 64 64 1 3 67 2 2 69 3 2 71 4 1 72 5 1 73 7 28 101 88 317 418 98 3 421 99 3 424 ============================== VAR V00P067 CENS This is my final question. As you may know, the Census Bureau attempts to count the entire U.S. population every ten years. Have you completed and returned your Census form yet? ---------------------------------------------------------------- 1. Yes 2. No 8. Don't know 9. Refuse Cumulative V00P067 Frequency Frequency ------------------------------- 1 365 365 2 55 420 8 1 421 9 3 424 ============================== VAR V00P068 N1. That completes our survey. We appreciate your time and cooperation. Thank you so much for helping us out. Do you have any additional comments or questions about this survey? ---------------------------------------------------------------- 1. Yes comments 2. No comments Cumulative V00P068 Frequency Frequency ------------------------------- 1 72 72 2 352 424 ============================== VAR V00P069 N1A (Additional comments 2) ---------------------------------------------------------------- 1. Yes comments 2. No comments 0. Inap, R has no comments Cumulative V00P069 Frequency Frequency ------------------------------- 0 352 352 1 3 355 2 69 424 ============================== VAR V00P070 QQ2 How would you (the interviewer) rate the quality of the information obtained in this interview? ---------------------------------------------------------------- 1. Excellent --no problems at all 2. Good -- a few problems but overall quality is good 3. Fair -- a number of problems but overall acceptable 4. Poor -- many problems, overall quality open to question Cumulative V00P070 Frequency Frequency ------------------------------- 1 373 373 2 44 417 3 6 423 4 1 424 ============================== VAR V00P071 QQ2A What were the reasons that the quality of information was less than excellent? Interview not in respondent's native language. ---------------------------------------------------------------- 1. Yes 2. No 0. Inap, 1 in QQ2 Cumulative V00P071 Frequency Frequency ------------------------------- 0 373 373 1 1 374 2 50 424 ============================== VAR V00P072 QQ2B What were the reasons that the quality of information was less than excellent? Hearing (hearing loss or background noise). ---------------------------------------------------------------- 1. Yes 2. No 0. Inap, 1 in QQ2 Cumulative V00P072 Frequency Frequency ------------------------------- 0 373 373 1 4 377 2 47 424 ============================== VAR V00P073 QQ2C What were the reasons that the quality of information was less than excellent? Interruptions or distractions. ---------------------------------------------------------------- 1. Yes 2. No 0. Inap, 1 in QQ2 Cumulative V00P073 Frequency Frequency ------------------------------- 0 373 373 1 1 374 2 50 424 ============================== VAR V00P074 QQ2D What were the reasons that the quality of information was less than excellent? Poor phone connection. ---------------------------------------------------------------- 1. Yes 2. No 0. Inap, 1 in QQ2 Cumulative V00P074 Frequency Frequency ------------------------------- 0 373 373 2 51 424 ============================== VAR V00P075 QQ2E What were the reasons that the quality of information was less than excellent? Lack of mental or physical competency to respond. ---------------------------------------------------------------- 1. Yes 2. No 0. Inap, 1 in QQ2 Cumulative V00P075 Frequency Frequency ------------------------------- 0 373 373 1 5 378 2 46 424 ============================== VAR V00P076 QQ2F What were the reasons that the quality of information was less than excellent? Infirm (too old, weak, sick, etc.). ---------------------------------------------------------------- 1. Yes 2. No 0. Inap, 1 in QQ2 Cumulative V00P076 Frequency Frequency ------------------------------- 0 373 373 1 3 376 2 48 424 ============================== VAR V00P077 QQ2G What were the reasons that the quality of information was less than excellent? Intoxication. ---------------------------------------------------------------- 1. Yes 2. No 0. Inap, 1 in QQ2 Cumulative V00P077 Frequency Frequency ------------------------------- 0 373 373 2 51 424 ============================== VAR V00P078 QQ2H What were the reasons that the quality of information was less than excellent? Respondent was rushed. ---------------------------------------------------------------- 1. Yes 2. No 0. Inap, 1 in QQ2 Cumulative V00P078 Frequency Frequency ------------------------------- 0 373 373 1 2 375 2 49 424 ============================== VAR V00P079 QQ2I What were the reasons that the quality of information was less than excellent? Respondent did not take interview seriously. ---------------------------------------------------------------- 1. Yes 2. No 0. Inap, 1 in QQ2 Cumulative V00P079 Frequency Frequency ------------------------------- 0 373 373 1 2 375 2 49 424 ============================== VAR V00P080 QQ2J What were the reasons that the quality of information was less than excellent? Respondent did not understand the meaning of some questions. ---------------------------------------------------------------- 1. Yes 2. No 0. Inap, 1 in QQ2 Cumulative V00P080 Frequency Frequency ------------------------------- 0 373 373 1 23 396 2 28 424 ============================== VAR V00P081 QQ2K What were the reasons that the quality of information was less than excellent? Respondent was offended by interview. ---------------------------------------------------------------- 1. Yes 2. No 0. Inap, 1 in QQ2 Cumulative V00P081 Frequency Frequency ------------------------------- 0 373 373 2 51 424 ============================== VAR V00P082 QQ2L What were the reasons that the quality of information was less than excellent? Respondent may not have been truthful because someone else was listening in. ---------------------------------------------------------------- 1. Yes 2. No 0. Inap, 1 in QQ2 Cumulative V00P082 Frequency Frequency ------------------------------- 0 373 373 2 51 424 ============================== VAR V00P083 QQ2M What were the reasons that the quality of information was less than excellent? Other reasons? (Please specify.) ---------------------------------------------------------------- 1. Yes 2. No 0. Inap, 1 in QQ2 Cumulative V00P083 Frequency Frequency ------------------------------- 0 373 373 1 40 413 2 11 424 ============================== VAR V00P084 QQ3 If language caused difficulty, what is respondent's native language? ---------------------------------------------------------------- 12. Russian 0. Inap, not 1 in QQ2A Cumulative V00P084 Frequency Frequency ------------------------------- 0 423 423 12 1 424 ============================== VAR V00P085 I(1) Interviewer gender ---------------------------------------------------------------- 1. Male 2. Female Cumulative V00P085 Frequency Frequency ------------------------------- 1 151 151 2 273 424 ============================== VAR V00P086 I(2) Interviewer race ---------------------------------------------------------------- 1. White 2. African-American Cumulative V00P086 Frequency Frequency ------------------------------- 1 382 382 2 42 424 Note: see additional 2000 Pilot variables which follow 1998 variables ============================== VAR 980001 CASE ID NUMERIC Process.4. 1998 Case ID --------------------------------------------------------------------- Cases 0001-1281. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980002 POST-STRATifIED SAMPLE WEIGHT 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980003 MONTH OF INTERVIEW NUMERIC MD GE 99 Admin.2. Month of interview --------------------------------------------------------------------- 860 11. November 421 12. December 99. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980004 DAY OF INTERVIEW NUMERIC MD GE 99 Admin.1. Day of interview --------------------------------------------------------------------- Day of interview 1-31 coded, except: 99. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980005 # OF DAYS BEFORE ELECTION DAY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980006 BEGINNING TIME (LOCAL) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980007 ENDING TIME (LOCAL) NUMERIC MD GE 9999 Admin.5. Ending time (local) --------------------------------------------------------------------- Due to error in the CAPI instrument, ending time was not recorded. 9999. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980008 LENGTH OF INTERVIEW IN MINUTES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980009 INTERVIEW NUMBER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980010 DATE OF BEINNING VQ FILE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980011 DATE OF ENDING VQ FILE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980012 FLAG - CHANge IN VQ 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980013 PAYMENT AMOUNT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980013a PAYMENT MODE NUMERIC MD GE 9 Admin.11a. Payment mode --------------------------------------------------------------------- 1173 1. Check 107 2. Cash 1 9. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980013b PAYMENT DATE NUMERIC MD GE 9999 Admin.11b. Payment date --------------------------------------------------------------------- This is a 4-digit number indicating 2-digit month and 2-digit day. 9999. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980014 WAS INTERVIEW TAPE RECORDED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980015 VERifICATION INDICATOR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980016 EVALUATION INDICATOR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980017 REFUSAL CONVERSION INDICATOR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980018 WAS PERSUASION LETTER SENT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980018a PERSUASION LETTER ReqUESTED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980018b PERSUASION LETTER SENT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980019 TYPE OF PERSUASION LETTER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980020 NUMBER OF TELEPHONE CALLS NUMERIC MD GE 99 Admin.18. Number of telephone calls --------------------------------------------------------------------- Number of telephone calls is coded, except: 99. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980021 NUMBER OF FACE TO FACE CALLS NUMERIC MD GE 99 Admin.19. Number of face to face calls --------------------------------------------------------------------- Number of personal calls is coded, except: 99. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980022 TOTAL NUMBER OF CALLS (PHONE+FTF) 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980023 FINAL RESULT OF INTERVIEW NUMERIC Admin.21. Final result code --------------------------------------------------------------------- 1276 1. Interview, complete 5 5. Interview, partial .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980024 BEGINNING MODE--PERSONAL OR PHONE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980025 ENDING MODE -- PERSONAL OR PHONE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980026 FLAG - CHANge IN MODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980027 SAMPLE RELEASE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980028 LANGUAge OF INTERVIEW NUMERIC Admin.26. Language of interview --------------------------------------------------------------------- All cases conducted entirely in English (code 1) 1281 1. English .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980029 FLAG - MISSING COVERSHEET NUMERIC MD GE 9 CSheet.1. Flag - missing coversheet --------------------------------------------------------------------- 1273 0. Not missing 8 1. Missing 9. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980030 COLOR OF COVERSHEET 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980031 CS - SOURCE OF HOUSEHOLD LISTING 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980032 CS - SELECTION TABLE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980033 CS - PERSON # SELECTED AS R 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980034 CS - TOTAL # OF PERSONS IN HH 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980035 CS - TOTAL # OF ELIGIBLE ADULTS 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980036 CS - HOUSEHOLD COMPOSITION CODE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980037 CS - # OF CHILDREN UNDER 6 YRS OLD 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980038 CS - # OF CHILDREN 6-9 YRS OLD 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980039 CS - # OF CHILDREN 10-13 YRS OLD 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980040 CS - # OF CHILDREN 14-17 YRS OLD 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980041 SUMMARY - Number of Children in HH 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980042 CS - TYPE OF HOUSING UNIT 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980043 CS - GATEKEEPER ReqUIRED TO ACCESS HU 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980044 CS - GATEKEEPER DESCRIPTION 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980045 CS - CONTACT DESC: INITIAL REFUSAL? 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980046 CS - CONTACT DESC: BROKEN APPOINTMENT? 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980047 CS - RESISTANCE TO INTERVIEW? 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980048 CS - REASON FOR RESISTANCE: WASTE TIME 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980049 CS - REASON FOR RESISTANCE: VERY ILL 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980050 CS - REASON FOR RESISTANCE: TOO BUSY 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980051 CS - REASON:STRESSFUL FAMILY SITUATION 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980052 CS - REASON RESISTANCE: CONFIDENTIALTY 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980053 CS - REASON FOR RESISTANCE: PRIVACY 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980054 CS - REASON FOR RESISTANCE: NONE GIVEN 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980055 CS - REASON FOR RESISTANCE: OTHER 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980056 INTERVIEWER OF RECORD ID NUMERIC MD GE 9999 IWR.1. Interviewer of record ID --------------------------------------------------------------------- Interviewer's 4-digit ID and: 9999. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980057 SUPERVISOR ID NUMERIC MD GE 9999 IWR.2. Supervisor ID --------------------------------------------------------------------- Field Supervisor's 4-digit ID and: 9999. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980058 INTERVIEWER geNDER NUMERIC MD GE 9 IWR.3. Interviewer gender --------------------------------------------------------------------- 119 1. Male 1162 2. Female 9. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980059 INTERVIEWER EDUCATION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980060 INTERVIEWER RACE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980061 INTERVIEWER ETHNICITY NUMERIC MD GE 9 IWR.6. Interviewer ethnicity --------------------------------------------------------------------- 986 0. No ethnic identity coded 54 1. Hispanic 194 7. Other 47 9. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980062 INTERVIEWER LANGUAgeS NUMERIC MD GE 9 IWR.7. Interviewer languages --------------------------------------------------------------------- 1137 0. English (only) 104 1. Spanish 32 7. Other 8 9. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980063 INTERVIEWER YEARS EXPERIENCE NUMERIC MD GE 99 IWR.8. Interviewer experience --------------------------------------------------------------------- Interviewer's years of experience, and: 99. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980064 INTERVIEWER Age (BRACKETTED) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980065 RACE TYPE: HOUSE 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980065a OUTSIDE RACE TYPE: HOUSE 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980066 RACE TYPE: SENATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980066a OUTSIDE RACE TYPE: SENATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980067 RACE TYPE: GUBERNATORIAL 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980067a OUTSIDE RACE TYPE: GUBERNATORIAL 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980068 DEMOCRATIC HOUSE CANDIDATE CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980068a OUTSIDE DEM HOUSE CANDIDATE CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980069 DEMOCRATIC HOUSE CANDIDATE geNDER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980069a OUTSIDE DEM HOUSE CANDIDATE GENDER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980070 DEMOCRATIC HOUSE CANDIDATE NAME 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). .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980070a OUTSIDE DEM HOUSE CANDIDATE NAME 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980071 REPUBLICAN HOUSE CANDIDATE CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980071a OUTSIDE REPUB HOUSE CANDIDATE CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980072 REPUBLICAN HOUSE CANDIDATE geNDER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980072a OUTSIDE REPUB HOUSE CANDIDATE geNDER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980073 REPUBLICAN HOUSE CANDIDATE NAME 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980073a OUTSIDE REPUB HOUSE CANDIDATE NAME 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980074 DEMOCRATIC SENATE CANDIDATE CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980074a OUTSIDE DEM SENATE CANDIDATE CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980075 DEMOCRATIC SENATE CANDIDATE geNDER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980075a OUTSIDE DEM SENATE CANDIDATE geNDER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980076 DEMOCRATIC SENATE CANDIDATE NAME 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980076a OUTSIDE DEM SENATE CANDIDATE NAME 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980077 REPUBLICAN SENATE CANDIDATE CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980077a OUTSIDE REPUB SENATE CANDIDATE CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980078 REPUBLICAN SENATE CANDIDATE geNDER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980078a OUTSIDE REPUB SENATE CANDIDATE geNDER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980079 REPUBLICAN SENATE CANDIDATE NAME 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980079a OUTSIDE REPUB SENATE CANDIDATE NAME 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980080 DEMOCRATIC GUBERNATORIAL CANDIDATE CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980080a OUTSIDE DEM GUBERNCANDIDATE CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980081 DEMOCRATIC GUBERNATORIAL CAND geNDER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980081a OUTSIDE DEM GUBERN CAND geNDER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980082 DEMOCRATIC GUBERNATORIAL CANDIDATE NAME 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980082a OUTSIDE DEM GUBERN CANDIDATE NAME 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980083 REPUBLICAN GUBERNATORIAL CANDIDATE CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980083a OUTSIDE REPUB GUBERN CANDIDATE CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980084 REPUBLICAN GUBERNATORIAL CAND geNDER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980084a OUTSIDE REPUB GUBERN CAND geNDER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980085 REPUBLICAN GUBERNATORIAL CANDIDATE NAME 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980085a OUTSIDE REPUB GUBERN CANDIDATE NAME 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980086 ICPSR ST CODE-INTERVIEW LOCATION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980087 FIPS ST CODE - INTERVIEW LOCATION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980088 1996 STATE ABBREV AND CONG DISTR 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980089 1996 STATE AND CD 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980090 CONGRESSIONAL DISTRICT NUMBER 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980091 DID R VOTE OUTSIDE OF IW CONGR DISTRICT 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980092 STATE AND CD FOR VOTERS OUT OF CD 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980093 FIPS STATE AND COUNTY 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980094 PRIMARY AREA NAME 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980095 PRIMARY AREA CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980096 SEGMENT NUMBER 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980097 NUMBER OF HOUSEHOLD UNITS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980098 CENSUS R 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980099 BELT CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980100 POPULATION IN 1000S 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980101 CENSUS SIZE OF PLACE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980102 CENSUS TRACT/ED INDICATOR NUMERIC Sample.17. Census tract/ED indicator - IW location --------------------------------------------------------------------- 1281 1. Tracted 2. Enumeration District (ED) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980103 1996 SAMPLING ERROR CODE 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980104 1990 CENSUS NECMA/SMSA 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980105 1990 CENSUS CMSA 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980106 1990 CENSUS TRACT 1 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980107 1990 CENSUS TRACT 2 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980108 WRONG CD ADMINISTERED IN PRE-FLAG 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980108a INCORRECT TYPE RACE/CANDIDATE PRELOAD 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980109 SECTION TIMING - SECTION A 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980110 SECTION TIMING - SECTION B 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980111 SECTION TIMING - SECTION C 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980112 SECTION TIMING - SECTION D 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980113 SECTION TIMING - SECTION E 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980114 SECTION TIMING - SECTION F 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980115 SECTION TIMING - SECTION G 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980116 SECTION TIMING - SECTION H 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980117 SECTION TIMING - SECTION J 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980118 SECTION TIMING - SECTION K 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980119 SECTION TIMING - SECTION M 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980120 SECTION TIMING - SECTION N 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980121 SECTION TIMING - SECTION P 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980122 SECTION TIMING - SECTION X 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980123 SECTION TIMING - SECTION Y 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980201 A1.ATTENTION R PAID TO CAMPAIGNS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980202 A2.DAYS R READ NEWSPAPER IN LAST WEEK 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980203 A3.R HAVE CABLE OR SATELLITE TV NUMERIC MD GE 8 A3. Do you have either cable or satellite television? --------------------------------------------------------------------- 974 1. Yes 307 5. No 8. DK 9. NA .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980204 A4.DAYS R WATCH NATIONAL NEWS LAST WEEK 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980205 A5.DAYS R WATCH LOCAL NEWS LAST WEEK 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980206 A6.R LISTEN TO NEWS ON RADIO 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980207 A7.R LISTEN TO POLITICAL TALK RADIO 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980208 A7a.FReq R LISTEN TO POLITICAL TALK RAD 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980209 A8.DOES R HAVE ACCESS TO THE INTERNET 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980210 A8a.DID R SEE CAMPAIGN INFO ON INTERNET 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980211 A9.DOES R DISCUSS POLITICS FAMILY/FRIEND 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980212 A9a.FReqUENCY OF POLITICAL DISCUSSIONS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980213 A9b.FReq PAST WEEK POLITICAL DISCUSSIONS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980214 A10.DID R VOTE FOR PRESIDENT IN 1996 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980215 A10a.WHO DID R VOTE FOR IN 1996 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980216 A11.CLINTON geNERAL JOB APPROVE/DISAPPR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980217 A11a/b.STRENGTH APPR/DISAPPR CLINTON JOB 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980218 A12.CLINTON ECONOMY APPR/DISAPPR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980219 A12a/b.STRENGTH APPR/DISAPP CLINTON ECON 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980220 A13.CLINTON FOREIGN REL APPR/DISAPPR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980221 A13a/b.STRENGTH APP/DISAPPR CLINTON FRGN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980222 B1.DID R CARE ABOUT HOUSE ELECTION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980223 B2.DOES R REMEMBER NAMES OF HOUSE CANDS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980224 B2a1.#1 RECALLED NAME, HOUSE CAND 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980225 B2a2.#1 RECALL PARTY, HOUSE CAND 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980226 B2a3.#1 HOUSE CAND RECALL- ACTUAL PARTY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980227 B2a4.#1 HOUSE CAND RECALL- ACCURACY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980228 B2b1.#2 RECALLED NAME, HOUSE CAND 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980229 B2b2.#2 RECALL PARTY, HOUSE CAND 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980230 B2b3.#2 HOUSE CAND RECALL- ACTUAL PARTY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980231 B2b4.#2 HOUSE CAND RECALL- ACCURACY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980232 B2c1.#3 RECALLED NAME, HOUSE CAND 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980233 B2c2.#3 RECALL PARTY, HOUSE CAND 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980234 B2c3.#3 HOUSE CAND RECALL- ACTUAL PARTY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980235 B2c4.#3 HOUSE CAND RECALL- ACCURACY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980236 B3.CONGRESS JOB APPROVE/DISAPPR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980237 B3a/b.STRENGTH APPROVE/DISAPPR CONGRESS 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980238 B4a.THERMOMETER CLINTON 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980239 B4b1.THERMOMETER DEM HOUSE CAND 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980240 B4b2.THERMOMETER GOP HOUSE CAND 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980241 B4c1.THERMOMETER DEM SEN CAND 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980242 B4c2.THERMOMETER REP SEN CAND 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980243 B4d.THERMOMETER AL GORE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980244 B4e.THERMOMETER NEWT GINGRICH 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980245 B4f.THERMOMETER geORge BUSH JR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980246 B4g.THERMOMETER DAN QUAYLE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980247 B4h.THERMOMETER STEVE FORBES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980248 B4i.THERMOMETER KEN STARR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980249 B4j.THERMOMETER PAT BUCHANAN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980250 B4k.THERMOMETER ELIZABETH DOLE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980251 B4m.THERMOMETER RICHARD gePHARDT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980252 B4n.THERMOMETER PAUL WELLSTONE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980253 B4o.THERMOMETER JOHN MCCAIN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980254 B4p.THERMOMETER BILL BRADLEY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980255 B4q.THERMOMETER BOB KERREY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980256 B4r.THERMOMETER JOHN KERRY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980257 B4s.THERMOMETER GARY BAUER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980258 B4t.THERMOMETER JOHN ASHCROFT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980259 B4u.THERMOMETER HILLARY CLINTON 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980260 B5a.THERMOMETER DEMOCRATIC PARTY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980261 B5b.THERMOMETER REPUBLICAN PARTY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980262 B5c.THERMOMETER BLACKS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980263 B5d.THERMOMETER RELIGIOUS RIGHT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980264 B5e.THERMOMETER CONSERVATIVES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980265 B5f.THEREMOMETER GAYS AND LESBIANS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980266 B5g.THERMOMETER LABOR UNIONS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980267 B5h.THERMOMETER LIBERALS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980268 B5j.THERMOMETER POOR PEOPLE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980269 B5k.THERMOMETER RICH PEOPLE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980270 B5m.THERMOMETER WHITES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980271 B5n.THERMOMETER COLLEge-EDUCATED PEOPLE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980272 B5p.THERMOMETER BUSINESS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980273 B5q.THERMOMETER CONGRESS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980274 B5r.THERMOMETER NEWS MEDIA 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980275 C1.LIKE ANYTHING- DEM HOUSE CAND? 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980276 C1a1.#1 LIKE DEM HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980277 C1a2.#2 LIKE DEM HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980278 C1a3.#3 LIKE DEM HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980279 C1a4.#4 LIKE DEM HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980280 C1a5.#5 LIKE DEM HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980281 C2.DISLIKE ANYTHING- DEM HOUSE CAND? 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980282 C2a1.#1 DISLIKE DEM HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980283 C2a2.#2 DISLIKE DEM HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980284 C2a3.#3 DISLIKE DEM HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980285 C2a4.#4 DISLIKE DEM HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980286 C2a5.#5 DISLIKE DEM HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980287 C3.LIKE ANYTHING- REPUB HOUSE CAND? 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980288 C3a1.#1 LIKE REPUB HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980289 C3a2.#2 LIKE REPUB HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980290 C3a3.#3 LIKE REPUB HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980291 C3a4.#4 LIKE REPUB HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980292 C3a5.#5 LIKE REPUB HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980293 C4.DISLIKE ANYTHING- REPUB HOUSE CAND? 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980294 C4a1.#1 DISLIKE REPUB HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980295 C4a2.#1 DISLIKE REPUB HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980296 C4a3.#3 DISLIKE REPUB HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980297 C4a4.#4 DISLIKE REPUB HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980298 C4a5.#5 DISLIKE REPUB HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980299 C5.(2 HSE CANS) EITHER CAND INCUMBENT? 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980300 C5a.CAND IDEN AS INCUM- 2 CAND RACE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980301 C6.(1 HSE CAND) IS CAND INCUMBENT? 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980302 C6a.CAND IDEN AS INCUM- 1 CAND RACE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980303 D1.DID R VOTE IN 1998? 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980304 D1a.WAS R REGISTERED? 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980305 D2.IS R REGISTERED IN COUNTY? 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980306 D2a.(OUT OF COUNTY) COUNTY OF REGISTR 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980307 D2b1.(OUT OF COUNTY) STATE OF REG- CODE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980307a CHECKPOINT: DID R VOTE IN CD OF IW? 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980307b CHECKPOINT: R VOTE OUTSIDE STATE AND CD 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980308 D3.DID R VOTE NOV 3RD OR BEFORE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980309 D3a.(if BEFORE NOV 3) HOW LONG BEF 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980310 D4.DID R VOTE IN PERSON/ABSENTEE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980311 D5.DID R VOTE FOR HOUSE CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980312 D5a.R HOUSE VOTE- CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980313 D5b.PARTY OF HOUSE VOTE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980314 D5x.CKPOINT: SEN RACE IN STATE OF IW? 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980314a D5x1.CKPOINT: SENATE RACE IN STATE? 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980315 D6.DID R VOTE FOR SENATE CANDIDATE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980316 D6a.R SENATE VOTE - CODE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980317 D6b.PARTY OF SENATE VOTE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980318 D6x.CKPOINT: GUBERN RACE IN STATE IW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980318a D6x1.CKPOINT: GUBERN RACE IN STATE VOTE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980319 D7.DID R VOTE FOR GOVERNOR 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980320 D7a.R GUBERNATORIAL VOTE- CODE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980321 D7b.PARTY OF GUBERNATORIAL VOTE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980322 D8.NONVOTER- DID R PREFER HOUSE CAND 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980323 D8a.NONVOTER- WHICH HOUSE CAND PREFER 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980324 D8b.NONVOTER- PARTY HOUSE PREFERENCE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980325 DATA CKPOINT: RUNNING INCUMBENT IN RACE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980326 E1.RUNNING HSE INCUM JOB APPROVE/DISAPP 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980327 E1a/b.STRENGTH APPR/DISAPP RUNG HSE INC 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980328 E2.HOUSE INCUMB KEPT IN TOUCH W/DISTRICT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980329 E3.R KNOW #YRS HSE INCUMBENT HAS SERV 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980330 E3a.#YRS HOUSE INCUMBENT HAS BEEN IN OFC 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980331 E3b.INCUMBENT MORE/LESS 12 YRS IN OFFICE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980332 E4.HOW OFTEN HSE INCUM SUPPORT CLINTON 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980333 E4a.HSE INCUM SUPPORT CLINTON ALM ALWAYS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980334 E4b.HSE INCUM SUPPORT CLINTON ALM NEVER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980335 E5.APPROVE/DISAPP 12-YEAR TERM LIMIT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980336 E6.R PARTY ID 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980337 E6a/b.STRENGTH PARTY ID 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980338 E6c.R CLOSER TO REPUB OR DEM PARTY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980339 E6x.SUMMARY - PARTY ID 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980340 F1.R FOLLOW GOVT AND PUBLIC AFFAIRS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980341 F2(1). #1- MOST IMPORTANT PROBLEM 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980342 F2(2).#2- MOST IMPORTANT PROBLEM 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980343 F2(3).#3- MOST IMPORTANT PROBLEM 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980344 F2(4).#4- MOST IMPORTANT PROBLEM 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980345 F3.CKPT: # MENTIONS MOST IMPORTANT PROB 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980346 F4.CHOICE - MOST IMPORTANT PROBLEM 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980347 F5.GOVT PERFORMANCE ON MOST IMP PROB 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980348 F6.PARTY PERFORMANCE ON MOST IMP PROB 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980349 G1.R CONTACTED BY POLITICAL PARTY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980350 G1a.WHICH POLITICAL PARTY CONTACTED R 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980351 G2.ANYONE CONTACT R ABOUT CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980352 G2a(1).#1- WHCH CAND R ASKED TO SUPPORT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980353 G2a(2).#2- WHCH CAND R ASKED TO SUPPORT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980354 G3.ANYONE TALK TO R ABOUT REGISTR/VOTG 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980355 G4.DID RELIGIOUS/MORAL GROUP CONTACT R 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980356 G5.CAMPAIGN INFO AT R PLACE OF WORSHIP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980357 G5a.CLERGY ADVICE ON VOTING 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980358 G5b(1).#1 CLERGY RECOMMENDED CANDIDATE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980359 G5b(2).#2 CLERGY RECOMMENDED CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980360 G5b(3).#3 CLERGY RECOMMENDED CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980361 G6.R TALK TO OTHERS FOR/AGAINST CAND 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980362 G7.R DISPLAY CAMPGN BUTTON/SIGN/STICKER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980363 G8.R ATTEND CANDIDATE MEETINGS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980364 G9.R WORK FOR CANDIDATE/PARTY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980365 G10.R CONTRIBUTE MONEY TO CANDIDATE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980366 G10a.PARTY OF CANDIDATE- CONTRIBUTIOIN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980367 G11.DID R GIVE MONEY TO POLITICAL PARTY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980368 G11a.WHICH PARTY DID R GIVE MONEY TO 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980369 G12.DID R GIVE MONEY TO ANY OTHER GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980370 H1.ARE THERE IMP DifF BETW DEM/REP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980371 H1a1.#1- IMPORTANT PARTY DifFERENCES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980372 H1b1.#1- PARTY REFERENCE IMP PARTY DifF 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980373 H1a2.#2- IMPORTANT PARTY DifFERENCES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980374 H1b2.#2- PARTY REFERENCE IMP PARTY DifF 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980375 H1a3.#3- IMPORTANT PARTY DifFERENCES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980376 H1b3.#3- PARTY REFERENCE IMP PARTY DifF 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980377 H1a4.#4- IMPORTANT PARTY DifFERENCES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980378 H1b4.#4- PARTY REFERENCE IMP PARTY DifF 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980379 H1a5.#5- IMPORTANT PARTY DifFERENCES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980380 H1b5.#5- PARTY REFERENCE IMP PARTY DifF 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980381 H1a6.#6- IMPORTANT PARTY DifFERENCES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980382 H1b6.#6- PARTY REFERENCE IMP PARTY DifF 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980383 H2.WHICH PARTY BETTER DEAL W/CRIME 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980384 H2a.WHICH PARTY BETTER HANDLE ECONOMY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980385 H2b.WHICH PARTY BETTER HANDLE ENVIRNMENT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980386 H2c.WHICH PARTY BETTER HANDLE FORGN AFF 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980387 H2d.WHICH PARTY BETTER PROTECT SOC SEC 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980388 H3.WHICH PARTY BETTER FOR AM FAMILIES 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980389 H4a.ANGRY- CLINTON AFFECT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980390 H4a1.ANGRY- HOW OFT CLINTON AFFECT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980391 H4b.HOPEFUL- CLINTON AFFECT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980392 H4b1.HOPEFUL- HOW OFT CLNTN AFFECT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980393 H4c.AFRAID- CLINTON AFFECT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980394 H4c1.AFRAID- HOW OFT CLNTON AFFECT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980395 H4d.PROUD- CLINTON AFFECT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980396 H4d1.PROUD- HOW OFT CLINTON AFFECT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980397 H4e.DISGUSTED- CLINTON AFFECT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980398 H4e1.DISGUSTED- HOW OFTEN CLINTON AFFECT 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980399 H5a.R PLACEMENT LIB-CON SCALE 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] .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980400 H5a1.R CERTAIN LIB-CON SELF-PLACEMENT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980401 H5aa.HAD TO CHOOSE LIB-CON SELF-PLACEMT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980402 H5x.SUMMARY- SELF-PLACEMENT LIB-CON 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980403 H5b.CLINTON PLACEMENT LIB-CON SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980404 H5b1.CLINTON- CERTAIN LIB-CON PLACEMENT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980405 H5c.GORE PLACEMENT LIB-CON SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980406 H5c1.GORE- CERTAIN LIB-CON PLACEMENT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980407 H5d.DEM HSE CAND PLACEMT- LIB-CON SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980408 H5d1.DEM HSE CAND- CERTAIN LIB-CON PLACE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980409 H5e.REP HSE CAND PLACEMT LIB-CON SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980410 H5e1.REP HSE CAND- CERTAIN LIB-CON SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980411 H5f.DEM PARTY PLACEMENT LIB-CON SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980412 H5g.REPUB PARTY PLACEMENT LIB-CON SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980413 J1.COUNTRY IN RIGHT DIRECT/WRONG TRACK 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980414 J2.R BETTER/WORSE OFF IN LAST YR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980415 J2a/b.HOW MUCH BETTER/WORSE OFF- LAST YR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980416 J3.R EXPECT BETTER/WORSE IN NEXT YR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980417 J3a/b.HOW MUCH BETTER/WORSE OFF- NEXT YR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980418 J4.U.S. ECON BETTER/WORSE IN LAST YEAR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980419 J4a/b.HOW MUCH BTR/WORSE US ECON LAST YR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980420 J5.US ECONOMY BETTER/WORSE IN NEXT YEAR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980421 J5a/b.HOW MUCH BTR/WORSE US ECON NEXT YR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980422 J6.ECON BTR/WORSE SINCE CLINTON TOOK OFC 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980423 J6a/b.ECON HOW MCH BTR/WRS SINCE CLINTON 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980424 J7.WHO MOST RESPONS FOR ECON CONDITION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980425 J8.IS R INVESTED IN STOCK MARKET 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980426 J9.BETTER ONE PARTY OR SPLIT CONTROL 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980427 J10.R OPINION- 2-PARTY SYSTEM 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980428 J11.SOCIETY SHOULD SEE TO eqU OPPORTUN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980429 J12.TOO FAR PUSHING eqUAL RIGHTS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980430 J13a.CLINTON TRAIT -MORAL 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980431 J13b.CLINTON TRAIT- REALLY CARES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980432 J13c.CLINTON TRAIT- KNOWLEDgeABLE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980433 J13d.CLINTON TRAIT- HONEST 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980434 J13e.CLINTON TRAIT- STRONG LEADER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980435 J14a.GORE TRAIT- MORAL 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980436 J14b.GORE TRAIT- REALLY CARES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980437 J14c.GORE TRAIT- KNOWLEDgeABLE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980438 J14d.GORE TRAIT- HONEST 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980439 J14e.GORE TRAIT- STRONG LEADER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980440 J15a.CONGRSS TRAIT- TOO LIB/CONSRV (1) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980441 J15a1.CONGRSS TRAIT- TOO LIB/CONSRV (2) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980442 J15b.CONGRESS TRAIT- DOESNT ACCOMPLISH 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980443 J15c.CONGRESS TRAIT- TOO PARTISAN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980444 J15d.CONGRESS TRIAT- CARE ORDIN THINK 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980445 K1.CREDIT FOR BUDgeT SURPLUS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980446 K2.ETHNIC GROUPS- DISTINCT /MELT POT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980447 K3.FAVOR/OPPOSE ENGLISH OFFIC LANGUAge 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980448 K4a.R PLACEMENT eqUAL ROLE SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980449 K4b.CLINTON PLACEMENT eqUAL ROLE SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980450 K4c.GORE PLACEMENT eqUAL ROLE SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980451 K4d.DEM HSE CAND PLACEMT eqU ROLE SCALE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980452 K4e.REP HSE CAND PLACEMT eqU ROLE SCALE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980453 K4f.DEM PARTY PLACEMENT eqU ROLE SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980454 K4g.REP PARTY PLACEMENT eqU ROLE SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980455 K5.R OPINION- SCHOOL PRAYER 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980456 K5a.STRENGTH- R SCHOOL PRAYER OPINION 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980457 K6a.R PLACMENT- GUAR JOB/STD LIV SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980458 K6b.CLINTON- GUAR JOB/STD LIV SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980459 K6c.GORE- GUAR JOB/STD LIV SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980460 K6d.DEM HSE CAND- GUAR JOB/STD LIV SCALE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980461 K6e.REP HSE CAND- GUAR JOB/STD LIV SCALE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980462 K7a.R PLACEMENT- AID TO BLACKS SCALE 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980463 K8a.R PLACEMENT- SERVICES/SPEND SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980464 K8b.CLINTON- SERVICES/SPEND SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980465 K8c.GORE- SERVICES/SPEND SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980466 K8d.DEM HSE CAND- SERVICES/SPEND SCALE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980467 K8e.REP HSE CAND- SERVICES/SPEND SCALE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980468 K8f.DEM PARTY- SERVICES/SPEND SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980469 K8g.REP PARTY- SERVICES/SPEND SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980470 K9.APPROVE/DISAPP AFFIRMATIVE ACTION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980471 K9a/b.STRENGTH APPR/DISAPP AFFIRM ACTION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980472 K10.RELIG GROUPS STAY IN/OUT POLITICS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980473 K11.RELIG DIVIDES/ RELIGIOUS TAKE ACTION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980474 K12.HOW MUCH R TRUSTS NEWS MEDIA 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980475 K13a.GORE OFFICE - KNOWLEDge 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980476 K13b.REHNQUIST OFFICE - KNOWLEDge 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980477 K13c.YELTSIN OFFICE - KNOWLEDge 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980478 K13d.GINGRICH OFFICE - KNOWLEDge 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980479 K14.WHCH PARTY HAD HSE MAJOR BEF ELECT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980480 K15.WHICH PARTY HAD SEN MAJOR BEF ELECT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980481 K16.OFFICIALS SHD HAVE HIGHER MORAL STDS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980482 K17.R FAVOR/OPPOSE SCHL VOUCHER SYSTEM 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980483 K17a/b.HOW MUCH FAVOR/OPP VOUCHER SYSTEM 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980484 M1.U.S. WORLD POSITION WEAKER/STRONgeR 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980485 M2.HOW WILLING- MILITARY FORCE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980486 M3.HOW WILLING- HUMANITARIAN AID 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980487 M4.HOW WILLING- AID TO WORLD ECON CRISES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980488 M5.US BETTER OFF TO STAY AT HOME 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980489 M6.INCREASE/DECREASE IMMIGRATION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980490 M7.FAVOR/OPPOSE IMPORT LIMITS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980491 M8.VIETNAM OBJECTORS SHOULD HAVE SRVED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980492 M9.RELIGION IMPORTANT TO R 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980493 M10.RELIGION PROVIDE GUIDANCE TO R 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980494 M11.R PRAYS HOW OFTEN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980495 M12.R READS THE BIBLE HOW OFTEN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980496 M13.BIBLE AUTHORITY 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980497 M14a.R- SCALE ENVIR REGULATION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980498 M14b.GORE -SCALE ENVIR REGULATION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980499 M14c.DEM HSE CAND- SCALE ENVIR REGUL 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980500 M14d.REP HSE CAND- SCALE ENVIR REGUL 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980501 M14e.DEM PARTY -SCALE ENVIR REGULATION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980502 M14f.REP PARTY -SCALE ENVIR REGULATION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980503 M15.FAVOR/OPPOSE DEATH PENALTY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980504 M15a/b.HOW MUCH FAV/OPPOSE DEATH PENALTY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980505 M16a.R PLACEMENT- ABORTION SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980506 M16b.GORE- ABORTION SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980507 M16c.DEM HSE CAND- ABORTION SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980508 M16d.REP HSE CAND- ABORTION SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980509 M16e.DEM PARTY- ABORTION SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980510 M16f.REPUB PARTY- ABORTION SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980511 M17.FAV/OPP LATE-TERM ABORTION BAN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980512 M17a/b.STRNGTH FAV/OPP LATE ABORTION BAN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980513 N1.IRISH ETC. NO SPEC FAVORS- BLACK NOT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980514 N2.BLACKS HAVE GOTTEN LESS THN DESERVE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980515 N3.SHOULD ADJUST MORAL BEHAV TO CHANge 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980516 N4.SHOULD TOLERATE OTHER MORAL STDS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980517 N5.MORE EMPHASIS ON TRAD FAM TIES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980518 N6.SHOULD BE MORE TOLERANT OTHER MORALS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980519 N7.MARITAL INFIDELITY ALWAYS WRONG 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980520 N8.R PLACMENT- VOTING MAKES DifF SCALE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980521 N9.HOW MUCH ATTEN DOES GOVT PAY PEOPLE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980522 N10.ELECTIONS MAKE GOVT PAY ATTENTION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980523 N11.POLITICS TOO COMPLICATED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980524 N12.PUBLIC OFFICIALS DONT CARE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980525 N13.PEOPLE DONT HAVE SAY IN GOVT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980526 N14.HOW MANY IN GOVT ARE CROOKED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980527 N15.HOW MUCH TAX DOES GOVT WASTE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980528 N16.HOW OFTEN GOVT DOES WHAT IS RIGHT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980529 N17.GOVT RUN BY BIG INTERSTS/BENEFIT ALL 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980530 N18.US DOESNT NEED POLITICAL PARTIES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980531 N19.PEOPLE TAKE ADVANTAge OF R 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980532 N20.CAN TRUST PEOPLE/CANT BE TOO CAREFUL 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980533 P1.SHOULD CLINTON RESIGN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980534 P2.SHOULD CLINTON BE IMPEACHED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980535 P3.APP/DIS CONGR HANDLE CLINTON SCANDAL 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980536 P3a/b.STR APP/DIS CONGR ON CLINTON SCAN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980537 P4.APPR/DISAPP MEDIA ON CLINTON SCANDAL 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980538 P4a/b.STR APP/DIS MEDIA ON CLINTON SCAN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980539 P5.CLINTON MATTER PUBLIC OR PRIV ISSUE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980540 P6.KENNETH STARR IMPARTIAL OR PARTISAN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980541 X1.ATTEND RELIGIOUS SERVICES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980542 X1a.BELONG TO RELIGIOUS GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980543 X2.ATTEND RELIG SERV HOW OFTEN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980544 X2a.ATTEND RELIG SERV > ONCE/WEEK 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980545 X3.ATTEND CHURCH CHECKPOINT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980546 X3a.ATTEND MAJOR RELIGION GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980547 X3b.NONATTEND MAJOR RELIGION GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980548 X4.PROTESTANT/OTHER DENOMINATION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980549 X4(1).DENOMINATION OTHER SPECifY 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980550 X4a.BAPTIST GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980551 X4b.INDEPENDENT BAPTIST GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980552 X4c.LUTHERAN GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980553 X4d.METHODIST GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980554 X4e.PRESBYTERIAN GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980555 X4f.REFORMED GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980556 X4g.BRETHREN GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980557 X4h.CHRISTIAN GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980558 X4i.CHURCH OF CHRIST GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980559 X4j.CHURCH OF GOD GROUP 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; .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980560 X4k.HOLINESS/PENTACOSTAL GROUP 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980561 X4kx.OTHER TEXTS - BLANKED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980562 X4m.OTHER (X4) DENOMINATION 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980563 X4m(1).IS OTHER GROUP CHRISTIAN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980564 X6a/b.ATTEND JEWISH GROUP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980565 X7.MEMBER PLACE OF WORSHIP 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980566 X8.CHRISTIANITY TYPE 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980567 X8a.CHRISTIANITY TYPE - OPEN 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980568 X9.R BORN-AGAIN CHRISTIAN 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980569 X10.RELIGION SUMMARY 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980570 Y1a.R MONTH OF BIRTH 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980571 Y1b.R YEAR OF BIRTH 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980572 Y1c.Age OF RESPONDENT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980573 Y2.R MARITAL STATUS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980574 Y3.HIGHEST GRADE COMPLETED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980575 Y3a.R DIPLOMA/geD 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980576 Y3b.HIGHEST DEGREE EARNED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980577 Y3x.SUMMARY - RESPONDENT EDUCATION 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980578 EMPLOYMENT STATUS SERIES 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980579 Y6.SUMMARY R EMPLOYMENT STATUS- FULL 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980579a Y7.SUMM R EMPLOYMENT STATUS 1 CATEGORY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980580 Y9.R UNEMP: EVER WORKED FOR PAY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980581 Y10/Y10a.R UNEMPL:PAST OCC CODE (2 DIG) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980581a Y10x(1).R UNEMPL:PAST OCCUP (BLANKED) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980582 Y10x(2).R UNEMPL:PAST OCC COLL (1 DIG) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980583 Y10x(3).R UNEMPL:PAST OCCUP PRESTIge 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980584 Y10b.R UNEMP: PAST INDUSTRY CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980585 Y10c.R UNEMP: PAST SELF EMPLOYED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980586 Y10d.R UNEMP: PAST EMPLOYED BY GOVT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980587 Y10e.R UNEMP: WORK LAST 6 MONTHS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980588 Y10f.R UNEMP: HRS/WK WORK 6 MONTHS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980589 Y10g.R UNEMP: LOOKING FOR WORK NOW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980590 Y10h.R UNEMP: WORRY ABOUT FIND JOB 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980591 Y11.R RETIRED: MONTH OF RETIREMENT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980592 Y11a.R RETIRED: YEAR OF RETIREMENT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980593 Y12/Y12a.R RETIRED:PAST OCC CODE (2 DIG) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980593a Y12x(1).R RETIRED:PAST OCCUP (BLANKED) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980594 Y12x(2).R RETIRD:PAST OCC COLLAP (1 DIG) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980595 Y12x(3).R RETIRED:PAST OCCUP PRESTIge 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980596 Y12b.R RET: INDUSTRY CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980597 Y12c.R RET: SELF EMPLOYED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980598 Y12d.R RET: EMPLOYED BY GOVT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980599 Y12e.R RET: WORK LAST 6 MONTHS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980600 Y12f.R RET: HOURS/WK WORK 6 MNTHS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980601 Y12g.R RET: WORKING FOR PAY NOW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980602 Y12h.R RET: LOOKING FOR WORK NOW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980603 Y12j.R RET: WORRY ABOUT FINDING JOB 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980604 Y13.R DISABLED: EVER WORKED FOR PAY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980605 Y14/Y14a.R DISABLED:PAST OCCUP CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980605a Y14x(1).R DISABLED:PAST OCC CODE (BLANK) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980606 Y14x(2).R DISABLED:PAST OCC COLL (1 DIG) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980607 Y14x(3).R DISABLED:PAST OCCUP PRESTIge 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980608 Y14b.R DIS: INDUSTRY CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980609 Y14c.R DIS: SELF EMPLOYED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980610 Y14d.R DIS: WORK FOR GOVT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980611 Y14e.R DIS: WORK LAST 6 MONTHS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980612 Y14f.R DIS: HOURS/WK WORK 6 MNTHS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980613 Y14g.R DIS: WORKING FOR PAY NOW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980614 Y14h.R DIS: LOOKING FOR WORK NOW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980615 Y14j.R DIS: WORRY ABOUT FINDING JOB 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980616 Y15.R HOMEMAKER/STDNT: WORK FOR PAY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980617 Y15a.R HMK/STU: WORK LAST 6 MONTHS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980618 Y16/Y16a.R HMK/STU:OCCUP CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980618a Y16x(1).R HMK/STU:PAST OCC CODE (BLANK) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980619 Y16x(2).R HMK/STU:PAST OCC COLL (1 DIG) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980620 Y16x(3).R HMK/STU:PAST OCCUP PRESTIge 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980621 Y16b.R HMK/STU: INDUSTRY CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980622 Y16c.R HMK/STU: SELF EMPLOYED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980623 Y16d.R HMK/STU: WORKED FOR GOVT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980624 Y16f.R HMK/STU: HRS/WK WRK LST 6 MO 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980625 Y16h.R HMK STU: LOOKING FOR WORK 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980626 Y16j.R HMK/STU:WORRY ABT FINDNG JOB 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980627 Y7/Y7a.R WORK NOW:OCCUP CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980627a Y7x(1).R WORK NOW:OCCUP CODE (BLANK) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980628 Y7x(2).R WORK NOW:OCC COLLAP (1 DIGIT) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980629 Y7x(3).R WORK NOW:OCCUP PRESTIge 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980630 Y7b.R WORK NOW: INDUSTRY CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980631 Y7c.R WORK NOW: SELF EMPLOYED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980632 Y7d.R WORK NOW: WORK FOR GOVT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980633 Y7e.R WORK NOW: HOURS WORK/WEEK 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980634 Y7f.R WORK NOW: SATISFIED W/# HOURS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980635 Y7g.R WORK NOW: WORRY ABT LSING JOB 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980636 Y7h.R WORK NOW: OUT WORK LAST 6 MO 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980637 Y7j.R WORK NOW: HRS REDCD LAST 6 MO 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980638 RC1.STACKED OCCUPATION CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980638a RC1a.STACKED OCCUPATION CODE (BLANKED) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980639 RC2.STACKED OCCUPATION COLLAPSED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980640 RC3.STACKED OCCUPATION PRESTIge 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980641 RC4.STACKED INDUSTRY CODE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980642 RC5.STACKED- R WORK FOR SELF/OTHERS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980643 RC6.STACKED- R EMPLOYED BY GOVERNMENT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980644 RC7.STACKED- NUMBER OF HOURS WORKED 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980645 RC8.STACKED- WORRIED ABT LOS/FIND JOB 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980646 RC9.STACKED- (UN/DIS) HAD JOB LAST 6 MO) 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980647 RC10.STACKED- (R/UN/DIS) LOOK FOR WORK 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980648 RC11.STACKED- (UN/DIS) EVER WORK FOR PAY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980649 Y18.ANYONE BELONG TO UNION IN HOUSE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980650 Y18a.HOUSEHOLD MEMBRS IN LABR UNION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980651 Y19.R ONLY FAMILY MEMBER > Age 14? 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980652 Y20.R FAMILY INCOME 1997 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980653 Y20a/Y21.(IN FAMILY) R SELF INCOME 1997 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980654 Y22(1).RS ETHNIC/NATL GRP - MENT 1 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980655 Y22(2).RS ETHNIC/NATL GRP - MENT 2 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980656 Y22(3).# NATIONALITIES CHECKPOINT 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)) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980657 Y22a.CLOSEST NATIONALITY 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980658 Y22b.BOTH PARENTS BORN IN USA 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980659 Y23.SPANISH OR HISPANIC ORIGIN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980660 Y23a.HISPANIC ORIGIN SPECifY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980661 Y26.HOW LONG R LIVED IN RS CITY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980662 Y27.HOW LONG R LIVED IN RS HOUSE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980663 Y28.OWN OR RENT HOME 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980664 Y29.DOES R HAVE CHILDREN 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980665 Y29a.HOW MANY CHILDREN R HAS <6 YRS OLD 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980666 Y29a1.NO. CHILDREN <6 WITH R HALF TIME 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980667 Y29b.HOW MANY CHILDR R HAS 6-18 YRS OLD 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980668 Y29b1.NO. CHILDREN 6-18 W/ R HALF TIM 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980669 Y30.CKPOINT: ENDING IW FTF OR PHONE? 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980670 Z0.IWR: NUMBER OF TIMES R CONTACTED HU 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980671 Z0a.IWR: WHY DID R CONDUCT FTF 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980672 Z1.IWR OBSERVATION: R geNDER NUMERIC Z1. INTERVIEWER OBSERVATION: R'S SEX IS: --------------------------------------------------------------------- 575 1. Male 706 2. Female .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980673 Z2.IWR OSERVATION: R RACE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980674 Z3.IWR OBS: OTHERS PRESENT DURING IW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980675 Z4.IWR OBSERVATION: R COOPERATION 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980676 Z5.IWR OBS: R INFORMED ABT POLITICS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980677 Z6.IWR OBS: R APPARENT INTELLIgeNCE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980678 Z7.IWR OBSERVATION: R SUSPICIOUSNESS 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980679 Z8.IWR OBSERVATION: R INTEREST IN IW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980680 Z9.IWR OBSERVATION: R SINCERITY 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980680a Z9a.IWR OBSERVATION: R INSINCERE WHERE 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. .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980681 Z10.IWR OBS: R REPORT INCOME ACCURAT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980682 Z10a.IWR OBS: ACCURATE INCOME ESTIM. 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980683 Z11(1).IWR OBS: #1 R REACTIONS TO IW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980684 Z11(2).IWR OBS: #2 R REACTIONS TO IW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980685 Z11(3.)IWR OBS: #3 R REACTIONS TO IW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980686 Z11(4).IWR OBS: #4 R REACTIONS TO IW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980687 Z11(5).IWR OBS: #5 R REACTIONS TO IW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980691 Z12.IWR FTF OBS: R DifFICULTY W/BOOKLET 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980692 Z13.IWR FTF OBS: REASONS DifF W/BOOKLET 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980693 Z14.IWR FTF OBS: R STATE PROBLEM W/BKLET 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980694 Z15.IWR FTF OBS: HOW MUCH BOOKLET PROB 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980695 Z16.IWR TEL OBSERV: DID R HAVE BOOKLET 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) .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980696 Z17.IWR TEL OBS: HOW SURE R HAD BOOKLT 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980697 Z18.IWR TEL OBS: R DifFICULTY W/BOOKLET 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980698 Z19.IWR TEL OBS: HOW MUCH DifFIC W/BKLET 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980699 Z20.IWR TEL OBS: WHY SEEM DifFIC W/BKLET 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980700 Z21.IWR TEL OBSERV: WHY NO BOOKLET 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); .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980701 Z2.2IWR TEL OBS: DID R USE BKLET MID-IW 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980702 Z23.IWR TEL OBS: NO BOOKLET INTERFERE 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980703 RAND ORDER A12-A12a/b and A13-A13a/b 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980704 Position B4b1 Dem Hse cand -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980705 Position B4b1 Rep Hse cand -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980706 Position B4c1 Dem Sen cand -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980707 Position B4c1 Rep Sen cand -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980708 Position of B4d Al Gore -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980709 Position B4e Newt Gingrich -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980710 Position B4f george Bush Jr.-thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980711 Position B4g Dan Quayle -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980712 Position B4h Steve Forbes -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980713 Position B4i Ken Starr -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980714 Position B4j Pat Buchanan -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980715 Position B4k Elizabeth Dole -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980716 Position B4m Richard gephardt -thermomer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980717 Position B4n Paul Wellstone -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980718 Position B4o John McCain -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980719 Position B4p Bill Bradley -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980720 Position B4q Bob Kerrey -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980721 Position B4r John Kerrey -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980722 Position B4s Gary Bauer -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980723 Position B4t John Ashcroft -thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980724 Position B4u Hillary Clinton-thermometer 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980725 Position B5a/b Democratic Party -therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980726 Position B5c Blacks -therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980727 Position B5d the Religious Right -therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980728 Position B5e Conservatives -therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980729 Position B5f Gay Men and Lesbians-therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980730 Position B5g Labor Unions -therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980731 Position B5h Liberals -therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980732 Position B5j Poor People -therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980733 Position B5k Rich People -therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980734 Position B5m Whites -therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980735 Position B5n College Educ People -therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980736 Position B5p Business -therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980737 Position B5q U.S. Congress -therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980738 Position B5r News Media -therms 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980739 Position C1-C4 Dem/Rep Likes-Dislikes 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980740 Order of C5 Dem, Rep cand names 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980741 Order of F6 party names 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980742 Order of crime in H2 party perf series 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980743 Order of economy in H2 party perf series 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980744 Order of environ in H2 party perf series 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980745 Order of foreign in H2 party perf series 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980746 Order of S Sec in H2 party perf series 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980747 Order of H2-H2d party names 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980748 Order of angry in H4 Clinton affects 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980749 Order of hopeful in H4 Clinton affects 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980750 Order of afraid in H4 Clinton affects 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980751 Order of proud in H4 Clinton affects 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980752 Order of disgusted in H4 Clinton affects 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980753 Position of H5d,e Dem and Rep Hse names 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980754 Position of H5d,e Dem and Rep pty names 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980755 Order of J13-15 executive level traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980756 Position of moral J13a-e Clinton traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980757 Position of cares J13a-e Clinton traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980758 Position of knowl J13a-e Clinton traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980759 Position of honest J13a-e Clinton traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980760 Position of leader J13a-e Clinton traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980761 Position of moral J13a-e Clinton traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980762 Position of cares J14a-e Gore traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980763 Position of knowledge J14a-e Gore traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980764 Position of honest J14a-e Gore traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980765 Position of leadersh J14a-e Gore traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980766 Congr 1st trait J15a liberal or conserv 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980767 Position of accomplish J15 Congr traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980768 Position partisan pol J15 Congr traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980769 Position doesnt care J15 Congr traits 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980770 Position Dem,Rep Hse cands K4d/e 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980771 Position Dem,Rep parties K4f/g 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980772 Position Dem,Rep Hse cands K6d/e 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980773 Position Dem,Rep Hse cands K8d/e 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980774 Position Dem,Rep parties K8f/g 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980775 Position Dem,Rep Hse cands M14c/d 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR 980776 Position Dem,Rep parties M14e/f 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 .................................................... NOTE: MARGINALS ARE FOR THE 1998 STUDY AND DO NOT REPRESENT THE SUBSET OF CASES IN THE 2000 PILOT ============================== VAR VENUE Think aloud-nature of trust response CHARACTER ................................................................. NOTE CONCERNING THE FOLLOWING VARIABLES : VENUE VENUFAIR ARGUMENT ARGFAIR TRVENUE HELPVENU TRARGUE HELPARG FAIRVENU HLPVENU FAIRARG HLPARG FAIRTRST THESE VARIABLES WERE PROVIDED BY ERIC USLANER, DEPARTMENT OF GOVERNMENT AND POLITICS, UNIVERSITY OF MARYLAND (euslaner@gvpt.umd.edu)AND WERE CODED FROM OPENEND TEXT OF THE 2000 PILOT 'THINK ALOUD' QUESTIONS [TEXT ASSOCIATED WITH V00P044, V00P046, V00P048; SPECIAL PERMISSION ACCESS REQUEST NECESSARY FOR ACCESS TO TEXT-- SEE NES WEB SITE]. Coding is organized in the following manner: each argument respondent made for why one should trust or not trust was coded fairarg for fairness, helparg for helpfulness; venue variables were coded for whether they represent moral decline, general morality, or bad experiences. All codes relate to theoretical concerns in his work: "Did the response reflect direct experiences, closeness to own group, reactions to dealing with strangers, a more general sense of moral declined, or a sense that most people are moral?" Trvenue and trargue are simple venue and argument converted from alphanumeric to numeric. The same relationship holds for: fairvenu and fairarg become venufair and argfair helpvenu and helparg become hlpvenu and hlparg fairtrst is defined as where R mention fairness in the trust answer ................................................................ Values are coded : "general" (general view of human nature, "no content" (repeating the question; does not understand etc.), "personal" (personal experiences). ============================== VAR ARGUMENT Think aloud-trust response CHARACTER Values are coded : "experience" (direct experiences), "moral decline" (general sense of moral decline), "own group" (closeness to own group), "people moral" (sense that most people are moral), "stranger" (reactions to dealing with strangers). ============================== VAR TRVENUE Think aloud-coded nature of trust NUMERIC MD EQ 9 2. general 3. no content 4. personal 9. MD ============================== VAR TRARGUE Think aloud-coded trust NUMERIC MD EQ 9 1. experience 2. own group 3. stranger 4. moral decline 5. people moral 9. MD ============================== VAR FAIRVENU Think aloud-nature of fairness response CHARACTER Values are coded : "general" (general view of human nature, "no content" (repeating the question; does not understand etc.), "personal" (personal experiences). ============================== VAR FAIRARG Think aloud-fairness response CHARACTER Values are coded : "experience" (direct experiences), "moral decline" (general sense of moral decline), "people moral" (sense that most people are moral). ============================== VAR FAIRTRST Think aloud-fairness in trust response NUMERIC MD EQ 9 0. R DID NOT MENTION FAIRNESS IN TRUST ANSWER 1. R MENTIONED FAIRNESS IN TRUST ANSWER 9. MD ============================== VAR VENUFAIR Think aloud-coded nature of fairness NUMERIC MD EQ 9 1. general 2. no content 3. personal 9. MD ============================== VAR ARGFAIR Think aloud-coded nature of fairness NUMERIC MD EQ 9 1. experience 2. moral decline 3. people moral 9. MD ============================== VAR HELPVENU Think aloud-nature of helfulness resp. CHARACTER Values are coded : "general" (general view of human nature, "no content" (repeating the question; does not understand etc.), "personal" (personal experiences). ============================== VAR HELPARG Think aloud-helpfulness response CHARACTER Values are coded : "experience" (direct experiences), "moral decline" (general sense of moral decline), "people moral" (sense that most people are moral). ============================== VAR HLPVENU Think aloud-coded nature of helpfulness NUMERIC MD EQ 9 1. general 2. no content 3. personal 9. MD ============================== VAR HLPARG Think aloud-coded helpfulness NUMERIC MD EQ 9 1. experience 2. moral decline 3. people moral 9. MD ============================== VAR QUES NUMERIC ................................................................. NOTE CONCERNING THE FOLLOWING VARIABLES : QUESFORM POLITICS WORDS RELIGION FIRSTPER MEDIA SCNDPER BUSINESS POSITIVE ORGANIZT NEGATIVE SPECIFIC FAMILY KNOWN COWORKER PRACTICE NEIGHBOR ACCOUNT DEALPEOP INTEREST RELPEOP COMPETNC POLIPEOP FACT PROFPEOP VIOLENCE GENRPEOP MONEY THESE VARIABLES WERE PROVIDED BY MARTIN JOHNSON, DEPARTMENT OF POLITICAL SCIENCE, RICE UNIVERSITY (pressley@rice.edu) AND WERE CODED FROM OPENEND TEXT OF THE 2000 PILOT 'THINK ALOUD' QUESTIONS [TEXT ASSOCIATED WITH V00P044, V00P046, V00P048; SPECIAL PERMISSION ACCESS REQUEST NECESSARY FOR ACCESS TO TEXT-- SEE NES WEB SITE]. Here is his annotation: "Informed by social science literature on trust, I developed a template to indicate whether the text response contained a particular potential attribute of a trust relationship. Each of the variables collected is described below. QUESFORM Identifier for the question form providing the basis for the think-aloud exercise WORDS Number of words in recorded response FIRSTPER Indicates use of first-person personal pronoun SCNDPER Indicates use of second-person pronouns POSITIVE R spoke of their trust of others using positive language and ideas NEGATIVE R spoke of their distrust of others using negative language and ideas. FAMILY R referred to family members COWORKER R referred to co-workers NEIGHBOR R referred to neighbors DEALPEOP R referred to people with whom they have business dealings RELPEOP R referred to members of religious congregations POLIPEOP R referred to politicians PROFPEOP R referred to members of other specific professions GENRPEOP R referred to people in general POLITICS R referred to government agencies, institutions, and political parties RELIGION R referred to organized religious institutions MEDIA R referred to news and media outlets BUSINESS R referred to specific business and industries ORGANIZT R referred to other social and professional organizations SPECIFIC R made references to specific individuals or entities KNOWN R comments reflected personal experiences with individuals or entities PRACTICE R referred to the (un)trustworthy actions of others/things people do ACCOUNT R referred to their ability or lack of ability to hold others accountable INTEREST R referred to the interests of the potential trustee(s) COMPETNC R referred to the abilities of the potential trustee(s) FACT R discussed the statements of the trustee: being lied to or told the truth VIOLENCE R discussed their exposure to physical harm or protection in trust relationships MONEY R discussed anything dealing with money" ============================== VAR QUESFORM QUESTION FORM NUMERIC See note above (variable QUESFORM) ============================== VAR WORDS WORDS RECORDED NUMERIC See note above (variable QUESFORM) ============================== VAR FIRSTPER FIRST PERSON REFERENCES NUMERIC See note above (variable QUESFORM) ============================== VAR SCNDPER SECOND PERSON REFERENCES NUMERIC See note above (variable QUESFORM) ============================== VAR POSITIVE POSITIVE STATEMENTS (TRUST) NUMERIC See note above (variable QUESFORM) ============================== VAR NEGATIVE NEGATIVE STATEMENTS (DISTRUST) NUMERIC See note above (variable QUESFORM) ============================== VAR FAMILY R MENTIONED FAMILY MEMBERS NUMERIC See note above (variable QUESFORM) ============================== VAR COWORKER R MENTIONED CO-WORKERS NUMERIC See note above (variable QUESFORM) ============================== VAR NEIGHBOR R MENTIONED NEIGHBORS NUMERIC See note above (variable QUESFORM) ============================== VAR DEALPEOP R MENTIONED PARTNERS IN BUSINESS TRANSAC NUMERIC See note above (variable QUESFORM) ============================== VAR RELPEOP R MENTIONED MEMBERS OF RELIGIOUS COMMUNI NUMERIC See note above (variable QUESFORM) ============================== VAR POLIPEOP R MENTIONED POLITICIANS NUMERIC See note above (variable QUESFORM) ============================== VAR PROFPEOP R MENTIONED SPECIFIC TYPES OF PROFESSION NUMERIC See note above (variable QUESFORM) ============================== VAR GENRPEOP R MENTIONED PEOPLE IN GENERAL NUMERIC See note above (variable QUESFORM) ============================== VAR POLITICS R MENTIONED POLITICAL ORGANIZATIONS NUMERIC See note above (variable QUESFORM) ============================== VAR RELIGION R MENTIONED RELIGIOUS ORGANIZATIONS NUMERIC See note above (variable QUESFORM) ============================== VAR MEDIA R MENTIONED MEDIA OUTLETS NUMERIC See note above (variable QUESFORM) ============================== VAR BUSINESS R MENTIONED BUSINESS NUMERIC See note above (variable QUESFORM) ============================== VAR ORGANIZT R MENTIONED OTHER ORGANIZATIONS NUMERIC See note above (variable QUESFORM) ============================== VAR SPECIFIC R MENTIONED SPECIFIC TRUSTEES NUMERIC See note above (variable QUESFORM) ============================== VAR KNOWN R MENTIONED TRUSTEES S/HE KNOW PERSONALL NUMERIC See note above (variable QUESFORM) ============================== VAR PRACTICE R BASES TRUST ON ACTIONS OF TRUSTEES NUMERIC See note above (variable QUESFORM) ============================== VAR ACCOUNT R BASES TRUST ON ABILITY TO HOLD TRUSTEE NUMERIC See note above (variable QUESFORM) ============================== VAR INTEREST R BASES TRUST ON THE INTERESTS OF TRUSTE NUMERIC See note above (variable QUESFORM) ============================== VAR COMPETNC R BASES TRUST ON THE COMPETENCE OF TRUST NUMERIC See note above (variable QUESFORM) ============================== VAR FACT R TRUSTS WITH REGARD TO FACTUAL TRUTHS O NUMERIC See note above (variable QUESFORM) ============================== VAR VIOLENCE R TRUSTS WITH REGARD TO PHYSICAL PROTECT NUMERIC See note above (variable QUESFORM) ============================== VAR MONEY R TRUSTS WITH REGARD TO FINANCIAL BENEFI; NUMERIC See note above (variable QUESFORM) ============================== VAR Q1_C1G ABSTRACT REFERENCE NUMERIC ................................................................. NOTE CONCERNING VARIABLES Q1_C1G through Q3_C46: THESE VARIABLES WERE PROVIDED BY NANCY BURNS, DONALD KINDER AND WENDY RAHN AND WERE CODED FROM OPENEND TEXT OF THE 2000 PILOT 'THINK ALOUD' QUESTIONS [TEXT ASSOCIATED WITH V00P044, V00P046, V00P048; SPECIAL PERMISSION ACCESS REQUEST NECESSARY FOR ACCESS TO TEXT-- SEE NES WEB SITE]. Q1: Generally speaking, would you say that most people can be trusted, or that you can't be too careful dealing with people? (V00P044) Q2: Do you think most people try to take advantage of you if they got the chance or would they try to be fair? (V00P046) Q 3: Would you say that most of the time people try to be helpful, or that they are just looking out for themselves? (V00P048) Two coders, "G" and "A", clarified and validated the coding scheme. For each respondent, the text of the response to each of the 3 questions above was coded for all of the categories that applied to the question (from the list of 46 categories, below). There are three sets of codes for each category applied to each question response: one set for coder "G", one set for coder "A", and one set summing the codes for both coders (no coder tag). Thus, there are a total of 46x3= 138 variables covering each of the 3 questions, for a total of 138x3= 414 variables for each respondent. Variable names refer to the question, the coding category, and whether the code was created by coder G or coder A. Q1_C1G refers to question 1 code 1 coder G; Q1_C1A refers to question 1 code 1 coder A. Q1_C1 is the combined measure for question 1 code 1, summing the codes for the two coders. The "A" and "G" (individual coder) variables are coded 0, 1, where 1 means that the category is relevant. When data are missing, that means the respondent was not asked the relevant open-ended question. About a third of the respondents were asked the open-ended version of question 1. About a third were asked the open-ended version of question 2. And about a third were asked the open-ended version of question 3. A few respondents (12) did not provide any open-end text responses at all. The 46 categories: 1. Is the reference abstract? 2. Is the reference specific that is nameable, knowable? 3. Commercial transactions 4. Driving 5. Workplace 6. Neighborhood 7. Reciprocity 8. Own keen ability to locate the cheaters 9. Practices, like lying. 10. Separation of some sites from others so explicit separation of things like driving or commerce from other interactions, saying that you can't generalize from those sites to other sites. 11. Separation of instances and discounting the instance. 12. Positive evaluation of the examples they offer. 13. Negative evaluation of the examples they offer. 14. Doctrine. 15. General view of human nature. 16. Summary of personal experience. 17. Learning a lesson from misplaced trust. 18. It depends. Contingent. 19. Repeats the question, only one side. 20. Comments on self. Own personality. Who I am. 21. Projection as an explanation for person's trustworthiness. 22. Knowledge-based trust. 23. This task is hard. Can't do this. This is impossible. 24. Trial by error. 25. Now v. before. 26. People they know v. strangers. 27. Friends. 28. Relatives. 29. Incentives; trust people to do what's in their interest; encapsulated interest. 30. On-the-spot assessments of people. 31. Gossip; not trusting people with personal information. 32. Violence, crime, violent world, drug-dealers. 33. You have to be cautious. 34. References to politics. 35. Life-cycle, experience that comes with age. 36. This is a stupid question. 37. Region. 38. Can't trust people because they're doing what's in their self-interest. 39. You control whether you're taken advantage of. The world might be scary, but you're immune. 40. Endorses both sides, impossible to tell which they prefer. 41. Endorses both sides, prefers positive. 42. Endorses both sides, prefers negative. 43. Homelessness. 44. Bottom line: Trust. 45. Bottom line: Don't trust. 46. Media. 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C2G SPECIFIC, NAMEABLE REFERENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C3G COMMERCIAL TRANSACTIONS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C4G DRIVING NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C5G WORKPLACE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C6G NEIGHBORHOOD NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C7G RECIPROCITY NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C8G CAN LOCATE CHEATERS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C9G PRACTICES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C10G SEPARATION OF SITES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C11G SEPARATE INSTANCES AND DISCOUNT NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C12G POSITIVE EVALUATION OF EXAMPLES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C13G NEGATIVE EVALUATION OF EXAMPLES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C14G DOCTRINE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C15G HUMAN NATURE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C16G SUMMARY OF PERSONAL EXPERIENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C17G LESSON FROM MISPLACED TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C18G IT DEPENDS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C19G REPEATS QUESTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C20G COMMENTS ON SELF NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C21G PROJECTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C22G KNOWLEDGE-BASED TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C23G THIS IS A HARD TASK NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C24G TRIAL BY ERROR NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C25G NOW V BEFORE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C26G PEOPLE THEY KNOW V STRANGERS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C27G FRIENDS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C28G RELATIVES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C29G INCENTIVES, ENCAPSULATED INTEREST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C30G ON THE SPOT ASSESSMENTS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C31G GOSSIP NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C32G UNSAFE, VIOLENCE, CRIME NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C33G HAVE TO BE CAUTIOUS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C34G POLITICS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C35G LIFE CYCLE, EXPERIENCE THAT COMES WITH A NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C36G STUPID QUESTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C37G REGION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C38G CANNOT TRUST BECAUSE PEOPLE DO WHAT IS I NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C39G YOU CONTROL WHETHER TAKEN ADVANTAGE OF NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C40G ENDORSES BOTH SIDES, NO LEANING NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C41G ENDORSES BOTH SIDES, LEANS POSITIVE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C42G ENDORSES BOTH SIDES, LEANS NEGATIVE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C43G HOMELESSNESS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C44G BOTTOM LINE -- TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C45G BOTTOM LINE -- DISTRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C46G MEDIA NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C1A ABSTRACT REFERENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C2A SPECIFIC, NAMEABLE REFERENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C3A COMMERCIAL TRANSACTIONS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C4A DRIVING NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C5A WORKPLACE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C6A NEIGHBORHOOD NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C7A RECIPROCITY NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C8A CAN LOCATE CHEATERS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C9A PRACTICES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C10A SEPARATION OF SITES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C11A SEPARATE INSTANCES AND DISCOUNT NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C12A POSITIVE EVALUATION OF EXAMPLES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C13A NEGATIVE EVALUATION OF EXAMPLES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C14A DOCTRINE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C15A HUMAN NATURE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C16A SUMMARY OF PERSONAL EXPERIENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C17A LESSON FROM MISPLACED TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C18A IT DEPENDS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C19A REPEATS QUESTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C20A COMMENTS ON SELF NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C21A PROJECTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C22A KNOWLEDGE-BASED TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C23A THIS IS A HARD TASK NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C24A TRIAL BY ERROR NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C25A NOW V BEFORE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C26A PEOPLE THEY KNOW V STRANGERS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C27A FRIENDS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C28A RELATIVES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C29A INCENTIVES, ENCAPSULATED INTEREST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C30A ON THE SPOT ASSESSMENTS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C31A GOSSIP NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C32A UNSAFE, VIOLENCE, CRIME NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C33A HAVE TO BE CAUTIOUS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C34A POLITICS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C35A LIFE CYCLE, EXPERIENCE THAT COMES WITH A NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C36A STUPID QUESTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C37A REGION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C38A CANNOT TRUST BECAUSE PEOPLE DO WHAT IS I NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C39A YOU CONTROL WHETHER TAKEN ADVANTAGE OF NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C40A ENDORSES BOTH SIDES, NO LEANING NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C41A ENDORSES BOTH SIDES, LEANS POSITIVE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C42A ENDORSES BOTH SIDES, LEANS NEGATIVE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C43A HOMELESSNESS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C44A BOTTOM LINE -- TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C45A BOTTOM LINE -- DISTRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C46A MEDIA NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C1 ABSTRACT REFERENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C2 SPECIFIC, NAMEABLE REFERENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C3 COMMERCIAL TRANSACTIONS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C4 DRIVING NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C5 WORKPLACE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C6 NEIGHBORHOOD NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C7 RECIPROCITY NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C8 CAN LOCATE CHEATERS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C9 PRACTICES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C10 SEPARATION OF SITES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C11 SEPARATE INSTANCES AND DISCOUNT NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C12 POSITIVE EVALUATION OF EXAMPLES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C13 NEGATIVE EVALUATION OF EXAMPLES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C14 DOCTRINE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C15 HUMAN NATURE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C16 SUMMARY OF PERSONAL EXPERIENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C17 LESSON FROM MISPLACED TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C18 IT DEPENDS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C19 REPEATS QUESTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C20 COMMENTS ON SELF NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C21 PROJECTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C22 KNOWLEDGE-BASED TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C23 THIS IS A HARD TASK NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C24 TRIAL BY ERROR NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C25 NOW V BEFORE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C26 PEOPLE THEY KNOW V STRANGERS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C27 FRIENDS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C28 RELATIVES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C29 INCENTIVES, ENCAPSULATED INTEREST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C30 ON THE SPOT ASSESSMENTS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C31 GOSSIP NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C32 UNSAFE, VIOLENCE, CRIME NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C33 HAVE TO BE CAUTIOUS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C34 POLITICS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C35 LIFE CYCLE, EXPERIENCE THAT COMES WITH A NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C36 STUPID QUESTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C37 REGION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C38 CANNOT TRUST BECAUSE PEOPLE DO WHAT IS I NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C39 YOU CONTROL WHETHER TAKEN ADVANTAGE OF NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C40 ENDORSES BOTH SIDES, NO LEANING NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C41 ENDORSES BOTH SIDES, LEANS POSITIVE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C42 ENDORSES BOTH SIDES, LEANS NEGATIVE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C43 HOMELESSNESS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C44 BOTTOM LINE -- TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C45 BOTTOM LINE -- DISTRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q1_C46 MEDIA NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C1G ABSTRACT REFERENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C2G SPECIFIC, NAMEABLE REFERENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C3G COMMERCIAL TRANSACTIONS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C4G DRIVING NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C5G WORKPLACE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C6G NEIGHBORHOOD NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C7G RECIPROCITY NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C8G CAN LOCATE CHEATERS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C9G PRACTICES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C10G SEPARATION OF SITES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C11G SEPARATE INSTANCES AND DISCOUNT NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C12G POSITIVE EVALUATION OF EXAMPLES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C13G NEGATIVE EVALUATION OF EXAMPLES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C14G DOCTRINE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C15G HUMAN NATURE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C16G SUMMARY OF PERSONAL EXPERIENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C17G LESSON FROM MISPLACED TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C18G IT DEPENDS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C19G REPEATS QUESTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C20G COMMENTS ON SELF NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C21G PROJECTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C22G KNOWLEDGE-BASED TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C23G THIS IS A HARD TASK NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C24G TRIAL BY ERROR NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C25G NOW V BEFORE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C26G PEOPLE THEY KNOW V STRANGERS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C27G FRIENDS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C28G RELATIVES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C29G INCENTIVES, ENCAPSULATED INTEREST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C30G ON THE SPOT ASSESSMENTS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C31G GOSSIP NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C32G UNSAFE, VIOLENCE, CRIME NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C33G HAVE TO BE CAUTIOUS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C34G POLITICS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C35G LIFE CYCLE, EXPERIENCE THAT COMES WITH A NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C36G STUPID QUESTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C37G REGION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C38G CANNOT TRUST BECAUSE PEOPLE DO WHAT IS I NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C39G YOU CONTROL WHETHER TAKEN ADVANTAGE OF NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C40G ENDORSES BOTH SIDES, NO LEANING NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C41G ENDORSES BOTH SIDES, LEANS POSITIVE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C42G ENDORSES BOTH SIDES, LEANS NEGATIVE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C43G HOMELESSNESS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C44G BOTTOM LINE -- TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C45G BOTTOM LINE -- DISTRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C46G MEDIA NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C1A ABSTRACT REFERENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C2A SPECIFIC, NAMEABLE REFERENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C3A COMMERCIAL TRANSACTIONS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C4A DRIVING NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C5A WORKPLACE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C6A NEIGHBORHOOD NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C7A RECIPROCITY NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C8A CAN LOCATE CHEATERS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C9A PRACTICES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C10A SEPARATION OF SITES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C11A SEPARATE INSTANCES AND DISCOUNT NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C12A POSITIVE EVALUATION OF EXAMPLES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C13A NEGATIVE EVALUATION OF EXAMPLES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C14A DOCTRINE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C15A HUMAN NATURE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C16A SUMMARY OF PERSONAL EXPERIENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C17A LESSON FROM MISPLACED TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C18A IT DEPENDS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C19A REPEATS QUESTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C20A COMMENTS ON SELF NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C21A PROJECTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C22A KNOWLEDGE-BASED TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C23A THIS IS A HARD TASK NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C24A TRIAL BY ERROR NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C25A NOW V BEFORE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C26A PEOPLE THEY KNOW V STRANGERS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C27A FRIENDS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C28A RELATIVES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C29A INCENTIVES, ENCAPSULATED INTEREST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C30A ON THE SPOT ASSESSMENTS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C31A GOSSIP NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C32A UNSAFE, VIOLENCE, CRIME NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C33A HAVE TO BE CAUTIOUS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C34A POLITICS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C35A LIFE CYCLE, EXPERIENCE THAT COMES WITH A NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C36A STUPID QUESTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C37A REGION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C38A CANNOT TRUST BECAUSE PEOPLE DO WHAT IS I NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C39A YOU CONTROL WHETHER TAKEN ADVANTAGE OF NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C40A ENDORSES BOTH SIDES, NO LEANING NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C41A ENDORSES BOTH SIDES, LEANS POSITIVE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C42A ENDORSES BOTH SIDES, LEANS NEGATIVE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C43A HOMELESSNESS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C44A BOTTOM LINE -- TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C45A BOTTOM LINE -- DISTRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C46A MEDIA NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0. NOT CODED AS RELEVANT 1. CODED AS RELEVANT 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C1 ABSTRACT REFERENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C2 SPECIFIC, NAMEABLE REFERENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C3 COMMERCIAL TRANSACTIONS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C4 DRIVING NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C5 WORKPLACE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C6 NEIGHBORHOOD NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C7 RECIPROCITY NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C8 CAN LOCATE CHEATERS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C9 PRACTICES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C10 SEPARATION OF SITES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C11 SEPARATE INSTANCES AND DISCOUNT NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C12 POSITIVE EVALUATION OF EXAMPLES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C13 NEGATIVE EVALUATION OF EXAMPLES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C14 DOCTRINE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C15 HUMAN NATURE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C16 SUMMARY OF PERSONAL EXPERIENCE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C17 LESSON FROM MISPLACED TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C18 IT DEPENDS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C19 REPEATS QUESTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C20 COMMENTS ON SELF NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C21 PROJECTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C22 KNOWLEDGE-BASED TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C23 THIS IS A HARD TASK NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C24 TRIAL BY ERROR NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C25 NOW V BEFORE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C26 PEOPLE THEY KNOW V STRANGERS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C27 FRIENDS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C28 RELATIVES NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C29 INCENTIVES, ENCAPSULATED INTEREST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C30 ON THE SPOT ASSESSMENTS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C31 GOSSIP NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C32 UNSAFE, VIOLENCE, CRIME NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C33 HAVE TO BE CAUTIOUS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C34 POLITICS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C35 LIFE CYCLE, EXPERIENCE THAT COMES WITH A NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C36 STUPID QUESTION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C37 REGION NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C38 CANNOT TRUST BECAUSE PEOPLE DO WHAT IS I NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C39 YOU CONTROL WHETHER TAKEN ADVANTAGE OF NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C40 ENDORSES BOTH SIDES, NO LEANING NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C41 ENDORSES BOTH SIDES, LEANS POSITIVE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C42 ENDORSES BOTH SIDES, LEANS NEGATIVE NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C43 HOMELESSNESS NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C44 BOTTOM LINE -- TRUST NUMERIC SEE NOTE ABOVE (VAR Q1_C1G) 0-2. SUM OF CODERS' CODING 9. RESPONDENT NOT ASKED THIS QUESTION OR RESPONDENT GAVE NO RESPONSE WHEN ASKED ============================== VAR Q2_C45 B