CCES10_TAM_CODEBOOK.txt 3/1/2011

Transcription

1 Project Code: CCES10_TAM Project Name: CCES Texas A & M - Wake Forest Interviews: 2000 Field Period: Oct Nov 2010 Variable List Name Description V100 Case ID V102 Team Weights V403 Wave 2 Disposition TAM301a Family Military TAM301b Military Member TAM301c Household military status TAM302 Non/Military social group-serving TAM303 Non/Military social group-never Served TAM304 Very Dark Very Light TAM305 Perceived County Diversity-African Americans TAM306 Perceived County Diversity-Latinos/Hispanics TAM307 Perceived County Diversity-Whites TAM309 Econ Competition-Others TAM310 Econ Competition-African American/Black TAM311 Econ Competition-Hispanics/Latinos TAM312 Econ Competition-Whites TAM314a Ethnic Mix-Friends TAM315a Ethnic Mix-Coworkers TAM316a Ethnic Mix-Neighbors TAM314b Ethnic Mix of Friends TAM315b Ethnic Mix of Coworkers TAM316b Ethnic Mix of Neighbors TAM317 Common Groups-African American/Black TAM318 Common Groups-Hispanics/Latinos TAM319 Common Groups-Whites TAM321 Jobs_Groups-African American/Black TAM322 Jobs_Groups-Hispanics/Latinos TAM323 Jobs_Groups-Whites TAM325 Immigration Law TAM326 Tax Law TAM327 Sports Law TAM329 Employers Law TAM330 Intervention and Banking Reform TAM331 Intervention and Environmental Treaties TAM333 Intervention and Immigration UCM301A1 Oprah Winfrey UCM301A2 John McCain UCM301A3 Hillary Clinton UCM301A4 Colin Powell UCM301A5 Arnold Schwarzenegger UCM301A6 Joe Biden UCM301A7 George W. Bush UCM301A8 Bill Clinton UCM301A9 Condoleeza Rice UCM301A10 Barack Obama UCM301A11 Jay Leno UCM301A12 Sarah Palin UCM301A13 Joe Lieberman UCM301A14 Arlen Specter UCM301A15 David Letterman UCM301A16 Elena Kagan UCM301A17 Rand Paul UCM301A18 Christine O'Donnell UCM301B1 Oprah Winfrey 1

2 UCM301B2 UCM301B3 UCM301B4 UCM301B5 UCM301B6 UCM301B7 UCM301B8 UCM301B9 UCM301B10 UCM301B11 UCM301B12 UCM301B13 UCM301B14 UCM301B15 UCM301B16 UCM301B17 UCM301B18 UCM301C1 UCM301C2 UCM301C3 UCM301C4 UCM301C5 UCM301C6 UCM301C7 UCM301C8 UCM301C9 UCM301C10 UCM301C11 UCM301C12 UCM301C13 UCM301C14 UCM301C15 UCM301C16 UCM301C17 UCM301C18 UCM301D1 UCM301D2 UCM301D3 UCM301D4 UCM301D5 UCM301D6 UCM301D7 UCM301D8 UCM301D9 UCM301D10 UCM301D11 UCM301D12 UCM301D13 UCM301D14 UCM301D15 UCM301D16 UCM301D17 UCM301D18 UCM301E1 UCM301E2 UCM301E3 UCM301E4 UCM301E5 UCM301E6 UCM301E7 UCM301E8 UCM301E9 UCM301E10 UCM301E11 UCM301E12 UCM301E13 UCM301E14 UCM301E15 John McCain Hillary Clinton Colin Powell Arnold Schwarzenegger Joe Biden George W. Bush Bill Clinton Condoleeza Rice Barack Obama Jay Leno Sarah Palin Joe Lieberman Arlen Specter David Letterman Elena Kagan Rand Paul Christine O'Donnell Oprah Winfrey John McCain Hillary Clinton Colin Powell Arnold Schwarzenegger Joe Biden George W. Bush Bill Clinton Condoleeza Rice Barack Obama Jay Leno Sarah Palin Joe Lieberman Arlen Specter David Letterman Elena Kagan Rand Paul Christine O'Donnell Oprah Winfrey John McCain Hillary Clinton Colin Powell Arnold Schwarzenegger Joe Biden George W. Bush Bill Clinton Condoleeza Rice Barack Obama Jay Leno Sarah Palin Joe Lieberman Arlen Specter David Letterman Elena Kagan Rand Paul Christine O'Donnell Oprah Winfrey John McCain Hillary Clinton Colin Powell Arnold Schwarzenegger Joe Biden George W. Bush Bill Clinton Condoleeza Rice Barack Obama Jay Leno Sarah Palin Joe Lieberman Arlen Specter David Letterman 2

3 UCM301E16 UCM301E17 UCM301E18 UCM301F1 UCM301F2 UCM301F3 UCM301F4 UCM301F5 UCM301F6 UCM301F7 UCM301F8 UCM301F9 UCM301F10 UCM301F11 UCM301F12 UCM301F13 UCM301F14 UCM301F15 UCM301F16 UCM301F17 UCM301F18 UCM301G1 UCM301G2 UCM301G3 UCM301G4 UCM301G5 UCM301G6 UCM301G7 UCM301G8 UCM301G9 UCM301G10 UCM301G11 UCM301G12 UCM301G13 UCM301G14 UCM301G15 UCM301G16 UCM301G17 UCM301G18 UCM301H1 UCM301H2 UCM301H3 UCM301H4 UCM301H5 UCM301H6 UCM301H7 UCM301H8 UCM301H9 UCM301H10 UCM301H11 UCM301H12 UCM301H13 UCM301H14 UCM301H15 UCM301H16 UCM301H17 UCM301H18 UCM301I1 UCM301I2 UCM301I3 UCM301I4 UCM301I5 UCM301I6 UCM301I7 UCM301I8 UCM301I9 UCM301I10 UCM301I11 Elena Kagan Rand Paul Christine O'Donnell Oprah Winfrey John McCain Hillary Clinton Colin Powell Arnold Schwarzenegger Joe Biden George W. Bush Bill Clinton Condoleeza Rice Barack Obama Jay Leno Sarah Palin Joe Lieberman Arlen Specter David Letterman Elena Kagan Rand Paul Christine O'Donnell Oprah Winfrey John McCain Hillary Clinton Colin Powell Arnold Schwarzenegger Joe Biden George W. Bush Bill Clinton Condoleeza Rice Barack Obama Jay Leno Sarah Palin Joe Lieberman Arlen Specter David Letterman Elena Kagan Rand Paul Christine O'Donnell Oprah Winfrey John McCain Hillary Clinton Colin Powell Arnold Schwarzenegger Joe Biden George W. Bush Bill Clinton Condoleeza Rice Barack Obama Jay Leno Sarah Palin Joe Lieberman Arlen Specter David Letterman Elena Kagan Rand Paul Christine O'Donnell Increase the use of the death penalty Toughen gun control policies Expand unemployment benefits Legalize medical marijuana Increase aid to Israel Campaign finance reform Reduce green house gas emissions Decrease the number of abortions Privatize Social Security Tax cuts for the middle class Expand domestic oil production 3

4 UCM301I12 UCM301I13 UCM301I14 UCM301I15 UCM301I16 UCM301I17 UCM301J1 UCM301J2 UCM301J3 UCM301J4 UCM301J5 UCM301J6 UCM301J7 UCM301J8 UCM301J9 UCM301J10 UCM301J11 UCM301J12 UCM301J13 UCM301J14 UCM301J15 UCM301J16 UCM301J17 UCM302A UCM302B UCM302C UCM302D UCM302E UCM302F UCM302G UCM302H UCM302I UCM302J UCM302K UCM303A UCM303B UCM303C UCM303D UCM303E UCM303F UCM304 UCM305A UCM305B UCM305C UCM305D UCM305E UCM305F UCM306 UCM307 UCM308 UCM309 UCM310 UCM311 UCM312 Economic stimulus program Win the war in Iraq End affirmative action programs Provide amnesty for illegal immigrants Promote literacy Reduce obesity Increase the use of the death penalty Toughen gun control policies Expand unemployment benefits Legalize medical marijuana Increase aid to Israel Campaign finance reform Reduce green house gas emissions Decrease the number of abortions Privatize Social Security Tax cuts for the middle class Expand domestic oil production Economic stimulus program Win the war in Iraq End affirmative action programs Provide amnesty for illegal immigrants Promote literacy Reduce obesity You are a... You are a... You are a... You are a... You are a... You are a... You are a... You are a... You are a... You are a... Tea Party Favorability/Supporter Iraq Improve Base Iraq Worsen Base Iraq Improve Dem/GOP Iraq worsen Dem/GOP Iraq Improve GOP Better/DEM Worse Iraq Improve DEM Better/GOP Worse Bush or Obama End War Obama Status Quo End War Obama Better End War Obama Worse New War Alleged New War Alleged Obama v. GOP New War Proven The newer lifestyles are contributing to the breakdown of our society. The world is always changing and we should adjust our view of moral behavior to those changes. This country would have many fewer problems if there were more emphasis on traditional family ties. 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. Although there are a number of qualities that people feel that children should have, every person thinks that some are more important than others. Below are pairs of traits parents try to instill in their children. For each pair, please select which one Although there are a number of qualities that people feel that children should have, every person thinks that some are more important than others. Below are pairs of traits parents try to instill in their children. For each pair, please select which one Although there are a number of qualities that people feel that children should have, every person thinks that some 4

5 UCM313 UCM319A UCM319B UCM320 UCM321 UCM322 UCM323 randtreat randtreat2 randtreat3 randtreat4 fillstate UCM401treat_test TAM401 TAM402 TAM403 TAM404 TAM405 TAM407 TAM408 TAM409 TAM410 TAM412 UCM401_A UCM401_Ax UCM401_B UCM401_Bx UCM401_C UCM401_Cx UCM401_D UCM401_Dx UCM401_E UCM401_Ex UCM401_F UCM401_Fx UCM402_A UCM402_B UCM402_C UCM402_D UCM402A1 UCM402A2 UCM402A3 UCM402A4 UCM402A5 UCM402A6 UCM402A7 UCM402A8 UCM402A9 UCM402B1 UCM402B2 UCM402B3 UCM402B4 are more important than others. Below are pairs of traits parents try to instill in their children. For each pair, please select which one Although there are a number of qualities that people feel that children should have, every person thinks that some are more important than others. Below are pairs of traits parents try to instill in their children. For each pair, please select which one The nation's minority population is steadily rising, and soon African-Americans and Latinos will displace whites as the majority. A recent study shows that a healthy diet can lower the risk of cataracts in women. My country has lost its way and I want to take it back." I worked hard in school, got good grades, and got accepted to college. But I won't be able to go without financial help. The government should help students go to college who can't afford it. I own guns and if the government tries to take them away, I'll fight back. I can't find a job and I've been having a hard time getting by. The government should give the unemployed a helping hand. UCM301 randomization UCM303 randomization UCM305 randomization UCM319 randomization State UCM401 Treatment Perceived Policy toward immigrants Perceived Public Attitudes toward immigrants Welcomed by Democratic Party Welcomed by Democratic Party_Whites Welcomed by Democratic Party_Latinos Welcomed by Democratic Party_Muslim Welcomed by Republican Party Welcomed by Republican Party_Whites Welcomed by Republican Party_Latinos Welcomed by Republican Party_Muslim Stem Cell, A - Abortion, B Abortion, A - Stem Cell, B Stem Cell, A - Min. Wage, B Min Wage, A - Stem Cell, B Stem Cell, A - Jobs, B Jobs, A - Stem Cell, B Abortion, A - Min. Wage, B Min. Wage, A - Abortion, B Abortion, A - Jobs, B Jobs, A - Abortion, B Jobs, A - Min. Wage, B Min. Wage, A - Jobs, B Good an example - Stem Cells Good an example - Abortion Good an example - Min. Wage Good an example - Jobs MaryDem AllisonDem EmilyDem JoannaDem GeorgeDem LizDem BobDem KellyDem SamanthaDem MaryRep AllisonRep EmilyRep JoannaRep 5

6 UCM402B5 GeorgeRep UCM402B6 LizRep UCM402B7 BobRep UCM402B8 KellyRep UCM402B9 SamanthaRep UCM402C1 MaryVote UCM402C2 AllisonVote UCM402C3 EmilyVote UCM402C4 JoannaVote UCM402C5 GeorgeVote UCM402C6 LizVote UCM402C7 BobVote UCM402C8 KellyVote UCM402C9 SamanthaVote rand_ucm402_a UCM402 randomization treat402 UCM402 Dem/Rep/Vote randomization CC301b Did you watch local news, national news, or both? CC301c Did you read a print newspaper, an online newspaper, or both? CC301_1 Media Use - Blog CC301_2 Media Use - TV CC301_3 Media Use - Newspaper CC301_4 Media Use - Radio CC301_5 Media Use - None CC302 National Economy CC305 Iraq Mistake CC306 Afghanistan Mistake CC307 Afghanistan - Scale CC308a Institution Approval - Obama CC308b Institution Approval - Congress CC308c Institution Approval - Supreme Court CC308d Institution Approval - Governor CC308e Institution Approval - Legislature CC309a Party of Government Knowledge - Reps CC309b Party of Government Knowledge - Senate CC309c Party of Government Knowledge - State Senate CC309d Party of Government Knowledge - Lower Chamber CC310a Party Recall + Name Recognition - Governor CC310b Party Recall + Name Recognition - Senator 1 CC310c Party Recall + Name Recognition - Senator 2 CC310d Party Recall + Name Recognition - Rep CC315a Approve of Job - Rep CC315b Approve of Job - Senator 1 CC315c Approve of Job - Senator 2 CC316 Vote 2008 CC317 Vote President 2008 CC320 Gun Control CC321 Climate CC322_1 Immigration - fine businesses CC322_2 Immigration - grant legal status CC322_3 Immigration - increase guest workers CC322_4 Immigration - increase border patrol CC322_5 Immigration - allow police to question CC322_6 Immigration - none CC324 Abortion CC325 Jobs-Environment CC326 Gay Marriage CC327 Affirmative Action CC328 Balanced Budget Pref 1 CC329 Fiscal Preference -- #2 CC332A Roll Call Votes - Recovery and Reinvestment CC332B Roll Call Votes - Children's Health Insur CC332C Roll Call Votes - Clean Energy CC332D Roll Call Votes - Health Reform CC332E Roll Call Votes - Elena Kagan CC332F Roll Call Votes - Financial Reform Bill CC332G Roll Call Votes - Don't Ask Don't Tell CC332H Roll Call Votes - Fed Intel and Sec Act 6

7 CC332I Roll Call Votes - Stem Cell Research CC332J Roll Call Votes - Troubled Asset Relief Program CC334A Ideology - Yourself CC334B Ideology - Governor CC334C Ideology - Obama CC334D Ideology - Dem party CC334E Ideology - Rep party CC334M Ideology - Tea party movement CC334F Ideology - Sen 1 CC334G Ideology - Sen 2 CC334H Ideology - Sen cand Dem CC334I Ideology - Sen cand Rep CC334Hb Ideology - Sen cand Dem - NY 2nd race CC334Ib Ideology - Sen cand Rep - NY 2nd race CC334J Ideology - House cand 1 CC334K Ideology - House cand 2 CC334L Ideology - House member CC335a1 Trait - H Dem Cand - Competence CC335a2 Trait - H Dem Cand - Integrity CC335b1 Trait - H Rep Cand - Competence CC335b2 Trait - H Rep Cand - Integrity CC335c1 Trait - US H Retiring - Competence CC335c2 Trait - US H Retiring - Integrity CC350 Party Registration CC351 Residence CC352a Primary Vote CC352b Primary Vote CC354 Does R Intend to Vote in 2010 CC355 Senator Vote CC355a Senator Vote 2nd choice CC355b Senator Vote - 2nd Race NY CC356 Governor Vote CC356a Governor Vote 2nd Choice CC390 House Vote CC390a House Vote 2nd choice V202 Residential zip code V203 Voter Registration Status V204 Is $izip the zip code where you are registered to vote? V205 Registered Zip V206 State V207 In what year were you born? V208 Gender V209 Employment Status V211 Race V212a 3 point party ID V212c Do you think of yourself as closer to the Democratic or the Republican Party? V212d 7 point Party ID V213 Education V214 Marital Status V215 Born Again (Pew version) V216 Importance of religion (Pew version) V217 Church attendance (Pew version) V218 Frequency of Prayer (Pew version) V219 Pew religion V220 Protestant Church V222 Baptist Church V223 Methodist Church V224 Nondenominational or Independent Church V225 Lutheran Church V226 Presbyterian Church V227 Pentecostal Church V228 Episcopal Church V229 Christian Church V230 Congregational Church V231 Holiness Church V232 Reformed Church V233 Adventist Church 7

8 V234 Catholic Church V235 Mormon Church V236 Orthodox Church V237 Jewish Group V238 Muslim Group V239 Buddhist group V240 Hindu Group V241 Child 18 num V242 Child 18 V243 Ideology V244 Interest in news and public affairs V246 Family income V250 Home ownership V252 Military Household - I am V253 Military Household - Family V254 Military Household - I served previously V255 Military Household - Family served previously V256 Military Household - None V258 Current City - Yrs V259 Current City - Mos V261 Current Addr - Yrs V262 Current Addr - Mos V263 Citizen V264 Union member V265 Union member - household V266 Stock ownership V267 Health insurance - Yes, through my job or a family member's employer V268 Health insurance - Yes, through a government program, such as Medicare or Medicaid V269 Health insurance - Yes, through my school V270 Health insurance - Yes, I purchased my own V271 Health insurance - Not sure V272 Health insurance - No V273 Phone service V274 Internet Access at Home V275 Internet access at work V279 Louisiana 3 Filler candidate flag V280 NY 17 Filler candidate flag V290 Are you of Spanish, Latino, or Hispanic origin or descent? V294 Received FISA question V295 Received TARP question V504 Current House Retiring V506 House seat vacant V520 Current Senator 1 position up V528 Current Senator 2 position up V532 Current Governor Election V550 Democratic senate candidate incumbent V553 Republican Senate candidate incumbent V557 Other senate candidate incumbent V560 NY Democratic 2nd Senate Race incumbent V563 NY senate race republican incumbent V566 Democratic Governor candidate incumbent V569 Republican Governor candidate incumbent V573 GovCandIncumb3 V577 GovCandIncumb4 CC401 Turnout CC402a Reason for not voting CC402b Second reason for not voting CC403 Mode of voting CC404 Election day registration CC405a Registration Problems CC405b_1 Registration Problem - ID CC405b_2 Registration Problem - Registration CC405b_3 Registration Problem - Wrong place CC405c Allowed to vote CC410a Senate vote a CC410b Senate vote b 8

9 CC411 Govenor vote CC412 House vote CC410a_nv Senate vote a - non voters CC410b_nv Senate vote b - non voters CC411_nv Governor vote - non voters CC412_nv House vote - non voters CC412a Current House retiring v Dem CC412b Current House retiring v Rep CC413a State Elections vote - Attorney General CC413b State Elections vote - Sec. of State CC413c State Elections vote - State Senate CC413d State Elections vote - Lower Chamber CC414_1 Military troops - Ensure supply of oil CC414_2 Military troops - Destroy terrorist camp CC414_3 Military troops - Intervene in genocide or civil war CC414_4 Military troops - Assist spread of Democracy CC414_5 Military troops - Protect US allies under attack CC414_6 Military troops - Help UN uphold international law CC414_7 Military troops - None of the above CC415r Taxes v. Spending CC416r Income v. Sales CC417a_1 Pol Activity - Attend meetings CC417a_2 Pol Activity - Political sign CC417a_3 Pol Activity - Work for campaign CC417a_4 Pol Activity - Donate money CC417a_5 Pol Activity - Donate blood CC417a_6 Pol Activity - None of these CC417bx_1 Pol Activity 2 - US Senate local CC417bx_2 Pol Activity 2 - US Senate out of state CC417bx_3 Pol Activity 2 - US House local CC417bx_4 Pol Activity 2 - US House out of state CC417bx_5 Pol Activity 2 - State office CC417bx_6 Pol Activity 2 - Political Party CC417bx_7 Pol Activity 2 - Political action committee CC417bx_8 Pol Activity 2 - Political group CC417bx_9 Pol Activity 2 - Other CC417c Pol Activity 3 CC425a Campaign contact CC425b_1 Campaign contact - In Person CC425b_2 Campaign contact - Phone call CC425b_3 Campaign contact - or text message CC425b_4 Campaign contact - Letter or postcard CC418a Ever a candidate CC418bx_1 Ever a candidate - School board CC418bx_2 Ever a candidate - Local board CC418bx_3 Ever a candidate - City council CC418bx_4 Ever a candidate - Mayor CC418bx_5 Ever a candidate - City or district attorney CC418bx_6 Ever a candidate - Countywide office CC418bx_7 Ever a candidate - State leg. CC418bx_8 Ever a candidate - Statewide office CC418bx_9 Ever a candidate - Federal Leg. CC418bx_10 Ever a candidate - Judge CC418bx_11 Ever a candidate - Other CC421a Party ID - 3 Point CC421_dem PID Strength dem CC421_rep PID Strength rep CC421b PID Lean CC422a Racial resentment A CC422b Racial resentment B CC423a House Candidate race - dem cand CC423b House Candidate race - rep cand CC423c House Candidate race - current CC424 Tea Party favorability V202_post Residential zip code V203_post Voter Registration Status V204_post Is $izip the zip code where you are registered to vote? V205_post Registered Zip 9

10 V206_post V504_post V506_post V520_post V528_post V532_post V550_post V553_post V557_post V560_post V563_post V566_post V569_post V573_post V577_post State Current House Retiring House Seat vacant Current Senator 1 position up Current Senator 2 position up Current Governor Election Democratic senate candidate incumbent Republican Senate candidate incumbent Other senate candidate incumbent NY Democratic 2nd Senate Race incumbent NY senate race republican incumbent Democratic Governor candidate incumbent Republican Governor candidate incumbent GovCandIncumb3 GovCandIncumb4 Verbatims UCM320_picture UCM320 picture treatment UCM321_picture UCM321 picture treatment UCM322_picture UCM322 picture treatment UCM323_picture UCM323 picture treatment rand_ucm402iss UCM402 text treatment CC317_t Vote President Other CC355_t Senator Vote - Other CC355a_t Senator Vote 2nd choice - Other CC355b_t Senator Vote -2nd Race NY - Other CC356_t Governor Vote - Other CC356a_t Governor Vote 2nd Choice - Other CC390_t House Vote - Other CC390a_t House Vote 2nd choice - Other V201 Zip code used for CD mapping V209_t Employment Status - open V211_t Race, other V212b 3 point party ID - other V219_t Pew religion - Other V220_t Protestant Church - Other V222_t Baptist Church - Other V223_t Methodist Church - Other V224_t Ind. Church - Other V225_t Lutheran Church - Other V226_t Presbyterian Church - Other V227_t Pentecostal Church - Other V228_t Episcopal Church - Other V229_t Christian Church - Other V230_t Congregational Church - Other V231_t Holiness Church - Other V232_t Reformed Church - Other V233_t Adventist Church - Other V234_t Catholic Church - Other V235_t Mormon Church - Other V236_t Orthodox Church - Other V237_t Jewish Group - Other V238_t Muslim Group - Other V239_t Buddhist group - Other V240_t Hindu Group - Other V251 Home ownership - text V276 Congressional district V277 County FIPS code V278 County name V302 State FIPS code V501 Current House Name V502 Current House Party V503 Current House Gender 10

11 V505 Current House Status V507 Current House Vote ARRA V508 Current House Vote Climate V509 Current House Vote DADT V510 Current House Vote Financial V511 Current House Vote HCR V512 Current House Vote SCHIP V513 Current Senator 1 Name V514 Current Senator 1 party V515 Current Senator 1 gender V516 Current Senator 1 vote ARRA V517 Current Senator 1 vote Financial V518 Current Senator 1 vote HCR V519 Current Senator 1 Vote SCHIP V521 Current Senator 2 Name V522 Current Senator 2 party V523 Current Senator 2 gender V524 Current Senator 2 vote ARRA V525 Current Senator 2 vote Financial V526 Current Senator 2 vote HCR V527 Current Senator 2 vote SCHIP V529 Current Governor Name V530 Current Governor Party V531 Current Governor Gender V533 Democratic House candidate name V534 Democratic House candidate gender V535 Democratic House candidate incumbent V536 Republican House candidate Name V537 Republican House candidate gender V538 Republican House candidate incumbent V539 Other House candidate name V540 Primary election - Other House candidate name 1 V541 Primary election - Other House candidate name 2 V542 Other House candidate party V543 Other House candidate gender V544 HouseCandOtherIncumb V545 Other House candidate 2 name V546 Other House candidate 2 party V547 Other House candidate 2 gender V548 Democratic Senate candidate name V549 Democratic Senate candidate gender V551 Republican Senate candidate name V552 Republican Senate candidate gender V554 Other Senate candidate name V555 Other Senate candidate gender V556 Other Senate candidate party V558 NY 2nd Senate Race Democratic Name V559 NY Senate race democratic gender V561 NY 2nd Senate Race Republican Name V562 NY Senate race republican gender V564 Democratic Governor candidate Name V565 Democratic Governor candidate gender V567 Republican Governor candidate name V568 Republican Governor candidate gender V570 Other Governor candidate name V571 Other Governor candidate gender V572 Other Governor candidate party V574 Other 2 Governor candidate name V575 Other 2 Governor candidate gender V576 Other 2 Governor candidate party V578 Legislature Name V579 Lower Chamber Name V580 Primary election - Democratic House candidate name 1 V581 Primary election - Democratic House candidate name 2 V582 Primary election - Democratic House candidate name 3 V583 Primary election - Democratic House candidate name 4 V584 Primary election - Democratic House candidate name 5 V585 Primary election - Democratic House candidate name 6 11

12 V586 Primary election - Democratic House candidate name 7 V587 Primary election - Democratic House candidate name 8 V588 Primary election - Democratic House candidate name 9 V589 Primary election - Republican House Candidate 1 V590 Primary election - Republican House Candidate 2 V591 Primary election - Republican House Candidate 3 V592 Primary election - Republican House Candidate 4 V593 Primary election - Republican House Candidate 5 V594 Primary election - Republican House Candidate 6 V595 Primary election - Republican House Candidate 7 V596 Primary election - Republican House Candidate 8 V597 Primary election - Republican House Candidate 9 V598 Primary election - Republican House Candidate 10 V599 Primary election - Republican House Candidate 11 V600 Primary election - Republican House Candidate 12 V601 Primary election - Republican House Candidate 13 V602 Dem House 08 candidate V603 Republican House candidate name 08 V604 Other House candidate name 08 V605 Dem Sen 08 candidate V606 Republican Sen candidate name 08 V607 Other Senate candidate name 08 CC402a_t Reason for not voting - text CC402b_t Second reason for not voting - text CC410a_t Senate vote A - other CC410b_t Senate vote B - other CC411_t Governor vote - other CC412_t House vote - other CC410a_nv_t Senate vote A, non-voters - other CC410b_nv_t Senate vote B, non-voters - other CC411_nv_t Governor vote, non-voters - other CC412_nv_t House vote, non-voters - other CC417bx_t Po Activity 2 - other CC418b_t Ever a candidate - other CC421_t PID3 - other CC423a_other House Candidate race other - dem cand CC423b_other House Candidate race other - rep cand CC423c_other House Candidate race other - current V201_post Zip code used for CD mapping V276_post Congressional district V277_post County FIPS code V278_post County name V292_post mystate V302_post State FIPS code V501_post Current House Name V502_post Current House Party V503_post Current House Gender V505_post Current House Status V507_post Current House Vote ARRA V508_post Current House Vote Climate V509_post Current House Vote DADT V510_post Current House Vote Financial V511_post Current House Vote HCR V512_post Current House Vote SCHIP V513_post Current Senator 1 Name V514_post Current Senator 1 party V515_post Current Senator 1 gender V516_post Current Senator 1 vote ARRA V517_post Current Senator 1 vote Financial V518_post Current Senator 1 vote HCR V519_post Current Senator 1 Vote SCHIP V521_post Current Senator 2 Name V522_post Current Senator 2 party V523_post Current Senator 2 gender V524_post Current Senator 2 vote ARRA V525_post Current Senator 2 vote Financial V526_post Current Senator 2 vote HCR V527_post Current Senator 2 vote SCHIP 12

13 V529_post Current Governor Name V530_post Current Governor Party V531_post Current Governor Gender V533_post Democratic House candidate name V534_post Democratic House candidate gender V535_post Democratic House candidate incumbent V536_post Republican House candidate Name V537_post Republican House candidate gender V538_post Republican House candidate incumbent V539_post Other House candidate name V540_post Primary election - Other House candidate name 1 V541_post Primary election - Other House candidate name 2 V542_post Other House candidate party V543_post Other House candidate gender V544_post HouseCandOtherIncumb V545_post Other House candidate 2 name V546_post Other House candidate 2 party V548_post Democratic Senate candidate name V549_post Democratic senate candidate gender V551_post Republican Senate candidate name V552_post Republican Senate candidate gender V554_post Other Senate candidate name V555_post Other Senate candidate gender V556_post Other Senate candidate party V558_post NY 2nd Senate Race Democratic Name V559_post NY Senate race democratic gender V561_post NY 2nd Senate Race Republican Name V562_post NY Senate race republican gender V564_post Democratic Governor candidate Name V565_post Democratic Governor candidate gender V567_post Republican Governor candidate name V568_post Republican Governor candidate gender V570_post Other Governor candidate name V571_post Other Governor candidate gender V572_post Other Governor candidate party V574_post Other 2 Governor candidate name V575_post Other 2 Governor candidate gender V576_post Other 2 Governor candidate party V578_post Legislature Name V579_post Lower Chamber Name V580_post Primary election - Democratic House candidate name 1 V581_post Primary election - Democratic House candidate name 2 V582_post Primary election - Democratic House candidate name 3 V583_post Primary election - Democratic House candidate name 4 V584_post Primary election - Democratic House candidate name 5 V585_post Primary election - Democratic House candidate name 6 V586_post Primary election - Democratic House candidate name 7 V587_post Primary election - Democratic House candidate name 8 V588_post Primary election - Democratic House candidate name 9 V589_post Primary election - Republican House Candidate 1 V590_post Primary election - Republican House Candidate 2 V591_post Primary election - Republican House Candidate 3 V592_post Primary election - Republican House Candidate 4 V593_post Primary election - Republican House Candidate 5 V594_post Primary election - Republican House Candidate 6 V595_post Primary election - Republican House Candidate 7 V596_post Primary election - Republican House Candidate 8 V597_post Primary election - Republican House Candidate 9 V598_post Primary election - Republican House Candidate 10 V599_post Primary election - Republican House Candidate 11 V600_post Primary election - Republican House Candidate 12 V601_post Primary election - Republican House Candidate 13 V602_post Dem House 08 candidate V603_post Republican House candidate name 08 V604_post Other House candidate name 08 V605_post Dem Sen 08 candidate V606_post Republican Sen candidate name 08 V607_post Other Senate candidate name 08 13

14 Variable Map and Codebook Name: V100 Description: Case ID Name: V102 Description: Team Weights Name: V403 Description: Wave 2 Disposition Completed Wave Did not complete Wave 2 Name: TAM301a Description: Family Military Yes No 12 9 Prefer not to say 0 98 Skipped Not Asked Name: TAM301b Description: Military Member Spouse 22 2 Father 8 3 Mother 1 4 Sister 9 5 Brother 4 6 Daughter 15 7 Son 16 8 Other 1 9 Prefer not to say 0 98 Skipped Not Asked Name: TAM301c Description: Household military status 61 1 Spouse Father 9 3 Mother 24 4 Sister Brother 14

15 28 6 Daughter 95 7 Son Other 32 9 Prefer not to say Skipped Not Asked Name: TAM302 Description: Non/Military social group-serving More than Not sure 30 9 Prefer not to say Skipped 0 99 Not Asked Name: TAM303 Description: Non/Military social group-never Served More than Not sure 33 9 Prefer not to say Skipped 0 99 Not Asked Name: TAM304 Description: Very Dark Very Light Skipped Not Asked Name: TAM305 Description: Perceived County Diversity-African Americans 16 1 None Few Some A Lot 65 5 Not Sure 15

16 16 8 Skipped Name: TAM306 Description: Perceived County Diversity-Latinos/Hispanics 12 1 None Few Some A Lot 71 5 Not Sure 15 8 Skipped Name: TAM307 Description: Perceived County Diversity-Whites 6 1 None 29 2 Few Some A Lot 55 5 Not Sure 23 8 Skipped Name: TAM309 Description: Econ Competition-Others Strongly Agree Agree Neither Agree nor Disagree Disagree 78 5 Strongly Disagree Not Sure 34 8 Skipped Name: TAM310 Description: Econ Competition-African American/Black Strongly Agree Agree Neither Agree nor Disagree Disagree 88 5 Strongly Disagree Not Sure 24 8 Skipped Not Asked Name: TAM311 16

17 Description: Econ Competition-Hispanics/Latinos Strongly Agree Agree Neither Agree nor Disagree Disagree Strongly Disagree Not Sure 28 8 Skipped Not Asked Name: TAM312 Description: Econ Competition-Whites Strongly Agree Agree Neither Agree nor Disagree 34 4 Disagree 17 5 Strongly Disagree 78 6 Not Sure 5 8 Skipped Not Asked Name: TAM314a Description: Ethnic Mix-Friends Mostly White Mostly Black 45 3 Mostly Latino 8 4 Mostly Asian Mixed 42 6 Not Sure 6 8 Skipped Name: TAM315a Description: Ethnic Mix-Coworkers Mostly White 53 2 Mostly Black 61 3 Mostly Latino 12 4 Mostly Asian Mixed Not Sure Skipped Name: TAM316a Description: Ethnic Mix-Neighbors 17

18 Mostly White Mostly Black 92 3 Mostly Latino 13 4 Mostly Asian Mixed 44 6 Not Sure 9 8 Skipped Name: TAM314b Description: Ethnic Mix of Friends 94 1 White and Black 2 2 Black and Latino 35 3 White and Latino Black, White and Latino 13 5 Asian and White 0 6 Asian and Black 33 7 Black, White and Asian 30 8 White, Latino and Asian 6 9 Black, Latino and Asian 3 10 Latino and Asian All Races 1 98 Skipped Not Asked Name: TAM315b Description: Ethnic Mix of Coworkers 78 1 White and Black 3 2 Black and Latino 38 3 White and Latino Black, White and Latino 9 5 Asian and White 0 6 Asian and Black 36 7 Black, White and Asian 20 8 White, Latino and Asian 2 9 Black, Latino and Asian 1 10 Latino and Asian All Races Skipped Not Asked Name: TAM316b Description: Ethnic Mix of Neighbors 86 1 White and Black 5 2 Black and Latino 72 3 White and Latino Black, White and Latino 15 5 Asian and White 0 6 Asian and Black 31 7 Black, White and Asian 16 8 White, Latino and Asian 6 9 Black, Latino and Asian 1 10 Latino and Asian 18

19 All Races 3 98 Skipped Not Asked Name: TAM317 Description: Common Groups-African American/Black Nothing Little Some A Lot Not sure 8 8 Skipped Not Asked Name: TAM318 Description: Common Groups-Hispanics/Latinos Nothing Little Some A Lot Not sure 15 8 Skipped Not Asked Name: TAM319 Description: Common Groups-Whites 30 1 Nothing 53 2 Little Some A Lot 47 5 Not sure 3 8 Skipped Not Asked Name: TAM321 Description: Jobs_Groups-African American/Black 87 1 Strongly agree agree Neither agree nor disagree Disagree Strongly disagree Not sure 13 8 Skipped Not Asked Name: TAM322 19

20 Description: Jobs_Groups-Hispanics/Latinos Strongly agree agree Neither agree nor disagree Disagree Strongly disagree Not sure 15 8 Skipped Not Asked Name: TAM323 Description: Jobs_Groups-Whites 82 1 Strongly agree 76 2 agree Neither agree nor disagree 76 4 Disagree 68 5 Strongly disagree 52 6 Not sure 3 8 Skipped Not Asked Name: TAM325 Description: Immigration Law Strongly agree Somewhat agree Neither agree nor disagree Somewhat disagree Strongly disagree 43 6 Prefer not to say 7 8 Skipped Name: TAM326 Description: Tax Law Strongly agree Somewhat agree Neither agree nor disagree Somewhat disagree Strongly disagree 45 6 Prefer not to say 7 8 Skipped Name: TAM327 Description: Sports Law 20

21 702 1 Strongly agree Somewhat agree Neither agree nor disagree Somewhat disagree Strongly disagree 35 6 Prefer not to say 4 8 Skipped Name: TAM329 Description: Employers Law Strongly agree Somewhat agree Neither agree nor disagree Somewhat disagree Strongly disagree 34 6 Prefer not to say 12 8 Skipped Name: TAM330 Description: Intervention and Banking Reform Strongly approve Somewhat approve Neither approve nor disapprove Somewhat disapprove Strongly disapprove 63 6 Prefer not to say 13 8 Skipped Name: TAM331 Description: Intervention and Environmental Treaties Strongly approve Somewhat approve Neither approve nor disapprove Somewhat disapprove Strongly disapprove 63 6 Prefer not to say 10 8 Skipped Name: TAM333 Description: Intervention and Immigration Strongly approve Somewhat approve Neither approve nor disapprove Somewhat disapprove 21

22 306 5 Strongly disapprove 42 6 Prefer not to say 13 8 Skipped Name: UCM301A1 Description: Oprah Winfrey very poor example moderate fit very good example 3 8 Skipped Not Asked Name: UCM301A2 Description: John McCain very poor example moderate fit very good example 3 8 Skipped Not Asked Name: UCM301A3 Description: Hillary Clinton very poor example moderate fit very good example 0 8 Skipped Not Asked Name: UCM301A4 Description: Colin Powell very poor example moderate fit

23 very good example 2 8 Skipped Not Asked Name: UCM301A5 Description: Arnold Schwarzenegger very poor example moderate fit very good example 4 8 Skipped Not Asked Name: UCM301A6 Description: Joe Biden very poor example moderate fit very good example 4 8 Skipped Not Asked Name: UCM301A7 Description: George W. Bush very poor example moderate fit very good example 2 8 Skipped Not Asked Name: UCM301A8 Description: Bill Clinton very poor example moderate fit

24 very good example 3 8 Skipped Not Asked Name: UCM301A9 Description: Condoleeza Rice very poor example moderate fit very good example 2 8 Skipped Not Asked Name: UCM301A10 Description: Barack Obama very poor example moderate fit very good example 2 8 Skipped Not Asked Name: UCM301A11 Description: Jay Leno very poor example moderate fit very good example 3 8 Skipped Not Asked Name: UCM301A12 Description: Sarah Palin very poor example moderate fit

25 very good example 3 8 Skipped Not Asked Name: UCM301A13 Description: Joe Lieberman very poor example moderate fit very good example 5 8 Skipped Not Asked Name: UCM301A14 Description: Arlen Specter very poor example moderate fit very good example 6 8 Skipped Not Asked Name: UCM301A15 Description: David Letterman very poor example moderate fit very good example 3 8 Skipped Not Asked Name: UCM301A16 Description: Elena Kagan very poor example moderate fit

26 very good example 8 8 Skipped Not Asked Name: UCM301A17 Description: Rand Paul very poor example moderate fit very good example 7 8 Skipped Not Asked Name: UCM301A18 Description: Christine O'Donnell very poor example moderate fit very good example 9 8 Skipped Not Asked Name: UCM301B1 Description: Oprah Winfrey very poor example moderate fit very good example 5 8 Skipped Not Asked Name: UCM301B2 Description: John McCain very poor example moderate fit

27 very good example 6 8 Skipped Not Asked Name: UCM301B3 Description: Hillary Clinton very poor example moderate fit very good example 7 8 Skipped Not Asked Name: UCM301B4 Description: Colin Powell very poor example moderate fit very good example 10 8 Skipped Not Asked Name: UCM301B5 Description: Arnold Schwarzenegger very poor example moderate fit very good example 8 8 Skipped Not Asked Name: UCM301B6 Description: Joe Biden very poor example moderate fit

28 very good example 7 8 Skipped Not Asked Name: UCM301B7 Description: George W. Bush very poor example moderate fit very good example 7 8 Skipped Not Asked Name: UCM301B8 Description: Bill Clinton very poor example moderate fit very good example 7 8 Skipped Not Asked Name: UCM301B9 Description: Condoleeza Rice very poor example moderate fit very good example 7 8 Skipped Not Asked Name: UCM301B10 Description: Barack Obama very poor example moderate fit

29 very good example 9 8 Skipped Not Asked Name: UCM301B11 Description: Jay Leno very poor example moderate fit very good example 15 8 Skipped Not Asked Name: UCM301B12 Description: Sarah Palin very poor example moderate fit very good example 6 8 Skipped Not Asked Name: UCM301B13 Description: Joe Lieberman very poor example moderate fit very good example 8 8 Skipped Not Asked Name: UCM301B14 Description: Arlen Specter very poor example moderate fit

30 very good example 12 8 Skipped Not Asked Name: UCM301B15 Description: David Letterman very poor example moderate fit very good example 12 8 Skipped Not Asked Name: UCM301B16 Description: Elena Kagan very poor example moderate fit very good example 10 8 Skipped Not Asked Name: UCM301B17 Description: Rand Paul very poor example moderate fit very good example 13 8 Skipped Not Asked Name: UCM301B18 Description: Christine O'Donnell very poor example moderate fit

31 very good example 13 8 Skipped Not Asked Name: UCM301C1 Description: Oprah Winfrey very poor example moderate fit very good example 5 8 Skipped Not Asked Name: UCM301C2 Description: John McCain very poor example moderate fit very good example 2 8 Skipped Not Asked Name: UCM301C3 Description: Hillary Clinton very poor example moderate fit very good example 6 8 Skipped Not Asked Name: UCM301C4 Description: Colin Powell very poor example moderate fit

32 very good example 3 8 Skipped Not Asked Name: UCM301C5 Description: Arnold Schwarzenegger very poor example moderate fit very good example 4 8 Skipped Not Asked Name: UCM301C6 Description: Joe Biden very poor example moderate fit very good example 3 8 Skipped Not Asked Name: UCM301C7 Description: George W. Bush very poor example moderate fit very good example 2 8 Skipped Not Asked Name: UCM301C8 Description: Bill Clinton very poor example moderate fit

33 very good example 4 8 Skipped Not Asked Name: UCM301C9 Description: Condoleeza Rice very poor example moderate fit very good example 6 8 Skipped Not Asked Name: UCM301C10 Description: Barack Obama very poor example moderate fit very good example 4 8 Skipped Not Asked Name: UCM301C11 Description: Jay Leno very poor example moderate fit very good example 5 8 Skipped Not Asked Name: UCM301C12 Description: Sarah Palin very poor example moderate fit

34 very good example 3 8 Skipped Not Asked Name: UCM301C13 Description: Joe Lieberman very poor example moderate fit very good example 5 8 Skipped Not Asked Name: UCM301C14 Description: Arlen Specter very poor example moderate fit very good example 8 8 Skipped Not Asked Name: UCM301C15 Description: David Letterman very poor example moderate fit very good example 6 8 Skipped Not Asked Name: UCM301C16 Description: Elena Kagan very poor example moderate fit

35 very good example 9 8 Skipped Not Asked Name: UCM301C17 Description: Rand Paul very poor example moderate fit very good example 7 8 Skipped Not Asked Name: UCM301C18 Description: Christine O'Donnell very poor example moderate fit very good example 7 8 Skipped Not Asked Name: UCM301D1 Description: Oprah Winfrey very poor example moderate fit very good example 6 8 Skipped Not Asked Name: UCM301D2 Description: John McCain very poor example moderate fit

36 very good example 5 8 Skipped Not Asked Name: UCM301D3 Description: Hillary Clinton very poor example moderate fit very good example 3 8 Skipped Not Asked Name: UCM301D4 Description: Colin Powell very poor example moderate fit very good example 6 8 Skipped Not Asked Name: UCM301D5 Description: Arnold Schwarzenegger very poor example moderate fit very good example 4 8 Skipped Not Asked Name: UCM301D6 Description: Joe Biden very poor example moderate fit

37 very good example 4 8 Skipped Not Asked Name: UCM301D7 Description: George W. Bush very poor example moderate fit very good example 4 8 Skipped Not Asked Name: UCM301D8 Description: Bill Clinton very poor example moderate fit very good example 2 8 Skipped Not Asked Name: UCM301D9 Description: Condoleeza Rice very poor example moderate fit very good example 6 8 Skipped Not Asked Name: UCM301D10 Description: Barack Obama very poor example moderate fit

38 very good example 4 8 Skipped Not Asked Name: UCM301D11 Description: Jay Leno very poor example moderate fit very good example 8 8 Skipped Not Asked Name: UCM301D12 Description: Sarah Palin very poor example moderate fit very good example 0 8 Skipped Not Asked Name: UCM301D13 Description: Joe Lieberman very poor example moderate fit very good example 7 8 Skipped Not Asked Name: UCM301D14 Description: Arlen Specter very poor example moderate fit

39 very good example 14 8 Skipped Not Asked Name: UCM301D15 Description: David Letterman very poor example moderate fit very good example 6 8 Skipped Not Asked Name: UCM301D16 Description: Elena Kagan very poor example moderate fit very good example 7 8 Skipped Not Asked Name: UCM301D17 Description: Rand Paul very poor example moderate fit very good example 9 8 Skipped Not Asked Name: UCM301D18 Description: Christine O'Donnell very poor example moderate fit

40 very good example 14 8 Skipped Not Asked Name: UCM301E1 Description: Oprah Winfrey 15 1 Nonmember 39 2 Partial Member Member moderate fit very good example 5 8 Skipped Not Asked Name: UCM301E2 Description: John McCain Nonmember 27 2 Partial Member 9 3 Member moderate fit very good example 5 8 Skipped Not Asked Name: UCM301E3 Description: Hillary Clinton 5 1 Nonmember 11 2 Partial Member Member moderate fit very good example 5 8 Skipped Not Asked Name: UCM301E4 Description: Colin Powell 95 1 Nonmember 76 2 Partial Member 30 3 Member moderate fit

41 very good example 5 8 Skipped Not Asked Name: UCM301E5 Description: Arnold Schwarzenegger Nonmember 70 2 Partial Member 17 3 Member moderate fit very good example 5 8 Skipped Not Asked Name: UCM301E6 Description: Joe Biden 13 1 Nonmember 12 2 Partial Member Member moderate fit very good example 5 8 Skipped Not Asked Name: UCM301E7 Description: George W. Bush Nonmember 12 2 Partial Member 10 3 Member moderate fit very good example 5 8 Skipped Not Asked Name: UCM301E8 Description: Bill Clinton 6 1 Nonmember 9 2 Partial Member Member moderate fit

42 very good example 3 8 Skipped Not Asked Name: UCM301E9 Description: Condoleeza Rice Nonmember 22 2 Partial Member 26 3 Member moderate fit very good example 6 8 Skipped Not Asked Name: UCM301E10 Description: Barack Obama 8 1 Nonmember 10 2 Partial Member Member moderate fit very good example 4 8 Skipped Not Asked Name: UCM301E11 Description: Jay Leno 64 1 Nonmember 95 2 Partial Member 39 3 Member moderate fit very good example 8 8 Skipped Not Asked Name: UCM301E12 Description: Sarah Palin Nonmember 7 2 Partial Member 6 3 Member moderate fit