Contents

ANES 2020 Time Series Study
Full Release

User Guide and Codebook

USER GUIDE

This document is a guide and codebook for the American National Election Studies (ANES) 2020 Time Series Study, to accompany the full release of its pre- and post-election data.

The ANES 2020 Time Series Study is a continuation of the series of election studies conducted since 1948 to support analysis of public opinion and voting behavior in U.S. presidential elections. This year’s study features re-interviews with 2016 ANES respondents, a freshly drawn cross-sectional sample, and post-election surveys with respondents from the General Social Survey (GSS). All respondents were assigned to interview by one of three mode groups—by web, video, or telephone. The study has a total of 8,280 pre-election interviews and 7,449 post-election re-interviews.

How to Cite the Study

American National Election Studies. 2021. ANES 2020 Time Series Study Full Release [dataset and documentation]. July 19, 2021 version. www.electionstudies.org

These materials are based on work supported by the National Science Foundation (www.nsf.gov) under grant number SES-1835721 to the University of Michigan and grant number SES-1835022 to Stanford University. Any opinions, findings and conclusions, or recommendations expressed in these materials are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Current Release

This is a full release of this dataset and the third release overall. The previous two releases were preliminary, and did not contain some of the variables, processing, cleaning, and documentation that are a part of this current release. In particular, this release includes the following additions or changes to the data file:

Weights: The survey weights have been updated since the last preliminary release and are considered final weights. The new weights reduce the error in survey estimates of the presidential election outcome and allow design-consistent estimates of smaller subgroups.

Summary Variables: Additional summary variables have been added. Summary variables have the suffix ‘x’ at the end of each variable name.

Upcodes: The open-ended options that were a part of some variables, for example “Other: specify” categories, have been coded.

Corrections: Corrections to age, gender, other variables, or a combination of these were made after reviewing respondent comments that reported a data entry error or after staff review identified inconsistencies and we followed up with respondents to confirm the correct information. Such corrections were made to 216 cases identified in V200009.

Removed data: Post-election interview data were removed for four cases because a review indicated that the post-election respondent was not the selected person and was not the same person who completed the pre-election interview. The pre-election data were not affected. The cases IDs (V200001) where all post-election data were removed are 333168, 350453, 347372, and 414401.

As a result of these and other updates, users are recommended to check their preliminary release results against this current release, to assess whether the changes have any effect on their analyses.

Although GSS data were collected alongside the ANES post-election survey, they are not part of this release and will instead be released at a later date.

We would appreciate being notified of any errors in the dataset or documentation by email to: [email protected]

Acknowledgments

The study was designed, and data collection supervised, by the ANES Principal Investigators and staff with design input from the ANES Advisory Board and also the ANES user community at large.

Ted Brader (University of Michigan) and Shanto Iyengar (Stanford University) were the Principal Investigators on the study.

Associate Principal Investigators were D. Sunshine Hillygus (Duke University), Daron Shaw (The University of Texas at Austin), and Nicholas Valentino (University of Michigan).

Matthew DeBell was Co-Investigator and Director of Stanford University Operations and David Howell was Director of University of Michigan Operations.

ANES staff on the project were Lindsay Dun, Lauren Guggenheim, Sang-Jung Han, Pat Luevano, Natalya Maisel, Laurie Pierson, and Jaime Ventura.

Data collection was performed by Westat, Inc. Westat developed the sampling plan and video interviewing system and collaborated with ANES personnel on other aspects of the study’s technical design. Lead personnel on the project at Westat included Michelle Amsbary, Mike Brick, Rick Dulaney, Brad Edwards, Cindy Good, Justin Kamens, Drew Kistler, Shelley Roth, and Siu Wan.

The sampling frame was provided by Marketing Systems Group.

Sample Design and Respondent Recruitment

The 2020 ANES survey used a contactless, mixed-mode design that was created in response to challenges related to the COVID-19 pandemic. The pandemic made face-to-face interviewing unfeasible in 2020, and no in-person interviewing was done. Instead, a sequential mixed-mode design was implemented that included self-administered online surveys, live video interviews conducted online, and telephone interviews.

Sample Design

The 2020 ANES sample consists of several groups, summarized in Table 1 below¹.

Table 1. Sample Design for the 2020 ANES Study

Sample	Fresh Cross-Section 2020			2016 ANES
Group Name	Web-only	Mixed Web	Mixed Video	2016 ANES
Mode Sequence	Web	Web + Phone	Video + Web + Phone	Web
Mail/Email Invitation	✔	✔	✔	✔
Web Screener	✔	✔	✔	✔
Pre-Election Survey	✔	✔	✔	✔
Post-Election Survey	✔	✔	✔	✔
Respondents from Previous Studies				✔

The 2016 ANES group consisted of respondents who had participated in the ANES 2016 Time Series Study. The remaining sample was based on a freshly drawn cross-section, and addresses were randomly assigned to one of three sample groups where the groups correspond to a survey mode sequence. The target population for the fresh cross-section was the 231 million non-institutional U.S. citizens aged 18 or older living in the 50 US states or the District of Columbia. The sampling frame for the fresh cross-section was lists of residential addresses where mail is delivered, and to be eligible to participate, a respondent had to reside at the sampled address and be a U.S. citizen age 18 or older at the time of recruitment.

Residential addresses in the fresh cross-sectional group received mail invitations. The 2016 ANES respondents were invited by email where possible, with letters used if there was no email on file or after an initial non-response. Letters and emails pushed household members from the sampled addresses to respond to a screener on the web. Once a screener interview was completed, responding households followed different protocols for survey mode based on assignment to different sample groups. All respondents who completed the post-election survey did so in the same mode used for the pre-election survey.

The sections that follow describe the specifics of the sample groups for 2020.

Fresh Cross-Sectional Sample

The fresh cross-sectional sample was a random draw from the USPS computerized delivery sequence file (C-DSF), with all included residential addresses across the 50 states and Washington DC having equal probability of selection.

Addresses in the fresh cross-sectional sample were randomly assigned to one of three sequential mode conditions: web-only, mixed web, and mixed video.

Selected addresses were sent a series of letters to recruit one household member to go online to complete a survey. The invitation letter included $10 in cash and promised $40 for completing a survey online. Household members following the invitation link were taken to a screening instrument to randomly select one person from among the adult U.S. citizens living at the address to complete the ANES questionnaire. Upon completion of the screener, the selected respondent was invited to complete the survey based upon the mode of their assigned group. All web-only respondents completed the survey online. Mixed web respondents were offered web, and non-respondents and refusals received offers to complete the survey by phone. Mixed video respondents were offered live video interviewing via Zoom; non-respondents were offered web and later, phone. Among all groups of the fresh cross-sectional sample, non-responding households were offered escalated incentives of $100 later in the field period.

Web-Only (Web). Cases assigned to the web-only group were released in two replicates for the pre-election survey. Forty percent of cases were assigned to the first replicate, which was released at the beginning of the field period in conjunction with the other sample groups that received the pre-election study. The remaining 60% were assigned to the second replicate which was released partway through the field period, after the Republican and Democratic conventions. Releasing the sample in two replicates served two purposes. The timing of the first replicate release maximized the time available for data collection and comparability to other sample groups in 2020 while the second replicate’s field period roughly corresponds to the field period of previous ANES Time Series studies, which typically began after the conventions.

Respondents in both replicates completed both the pre- and post-election surveys online. The post-election field period was the same for both replicates.

Mixed Web (Web + Phone). Respondents in the mixed web group completed surveys online. Non-responding cases and refusals were shifted to the telephone, and the timing of this shift was at the case-level in the final weeks of the pre-election period. Respondents completed the post-election survey in the same mode as the pre-election survey. In addition to the incentives described above, some respondents in this group were offered $200 as part of a targeted, adaptive design approach; in the last two weeks of the pre-election field period, participants in under-represented groups (with a low response rate) were offered $200 to complete the questionnaire.

Mixed Video (Video + Web + Phone). Respondents in the mixed video group were invited to complete the survey by live video interview upon completion of the web screener. Following the invitation link, respondents were invited to wait briefly to connect with an interviewer and complete the study via Zoom or set an appointment. Respondents were shifted to web if they declined the video invitation or if they failed to respond to the invitation after several attempts. Later, non-respondents to web were subsequently pushed to phone. The timing of this shift was at the case-level in the final weeks of the pre-election period. In addition to the incentives described above, $200 escalations were offered for respondents to complete interviews by video to counter initial non-response. Respondents completed the post-election survey in the same mode as the pre-election survey.

Respondents from Previous Studies and Opportunities to Link Datasets

ANES 2016 sample. This sample consists of the full set of sample members from the ANES 2016 Time Series Study who completed the post-election interview in either the web or the face-to-face mode. All respondents in this sample group completed the 2020 survey online. Invitations were made by e-mail and mail. Mail invitations included $10 in cash and all invitations promised $40 for completing a survey online. Non-respondents were offered escalated incentives of $100 later in the field period, and some respondents from groups with low re-interview rates were targeted with $200 offers in the final two weeks of the field period.

For the ANES 2016 participants in this study, data can be merged from the ANES 2016 Time Series Study using the 2016 case ID variable, V160001_orig, to join the datasets.

GSS sample. This sample was run in the post-election study only and consisted of respondents who have previously participated in the General Social Survey. The current release of the dataset does not include GSS participants. Data from GSS participants, and more information about the GSS sample’s participation in this study and about linking the ANES and GSS datasets will be provided in a future release of the data.

Data Collection

Field Dates. The study interviewed respondents in a pre-election survey that was conducted between August 18, 2020 and November 3, 2020. Election day was November 3, 2020. The study re-interviewed as many as possible of the same respondents in a post-election survey that was conducted between November 8, 2020 and January 4, 2021.

An exception to the aforementioned field dates was for the web-only sample group (see the Sample Design section for a description of this group), which was fielded in two replicates. The first replicate for this group followed the field dates described above. However, the first interviews for the second replicate instead began on September 11, 2020 and ended at the same time as the other sample groups. The post-election interviews for the second replicate took place at the same time as the other sample groups.

Locations. For video or web modes, the survey could be completed anywhere the respondent had access to the Internet on a computer or other device (including mobile devices). Likewise, phone surveys could be completed on any device with phone service.

Administration. Phone and video interviews were conducted by trained interviewers using interviewing software on computers.

For the telephone interviews, interviewers logged into a web questionnaire based on the one that respondents used when they completed the self-administered web questionnaire. In the telephone interviews, interviewers read these questions aloud to the respondents.

For the live video interviews, interviewers used a different version of the computer-aided interviewing software. Interviewers also had a window open with a Zoom (video communication software) connection to respondents. Interviewers could share a window with the respondent booklet via Zoom so that respondents, for select questions, could see pages of a Respondent Booklet that included response categories for the question.

Unlike in earlier years, the 2020 ANES did not use self-interviewing (CASI) during any part of the interviewer-administered modes (video and phone). Rather, in interviewer-administered modes, all questions were read out loud to respondents, and respondents answered orally.

Languages. Interviews in all modes were able to be conducted in English or Spanish.

Interview Length. The median pre-election interview length was 71 minutes, which includes a median of 69 minutes in the online mode and 93 minutes in the video mode. The median post-election interview length was 78 minutes, which includes a median of 76 minutes in the online mode and 98 minutes in the video mode.

Response Rates

The response rate, using the American Association for Public Opinion Research (AAPOR) formula for the minimum response rate (known as AAPOR Response Rate 1) on the pre‐election interview, was 36.7 percent overall for the fresh cross-sectional component of the sample (the web-only, mixed web, and mixed video combined). The minimum response rates for the three components individually were 37.8 percent for web-only, 39.7 percent for mixed web, and 27.6 percent for mixed video.

The estimated overall response rates based on the observed rate of eligibility (known as AAPOR Response Rate 3) on the pre-election interview were 42.1 percent for the web-only sample group, 44.2 percent for the mixed web group, 31.0 percent for the mixed video group, and 40.9 percent overall for the fresh cross-sectional component. Table 2 below shows the AAPOR Response Rates 1 and 3 and the post-election re-interview rates for the fresh cross-sectional sample groups.

Table 2. Response and Re-interview Rates for the Fresh Cross-Section

	Pre-Election			Post-Election
	N	RR1 (%)	RR3 (%)	N	Re-Int. (%)
Fresh Cross-Sectional Sample	5,441	36.7	40.9	4,783	87.9
Web-only (Web)	2,283	37.8	42.1	2,012	88.1
Mixed Web (Web + Phone)	2,407	39.7	44.2	2,136	88.7
Mixed Video (Video+Web+Phone)	751	27.6	31.0	635	84.6

Notes. Response rates are based on AAPOR Response Rates 1 and 3. Re-interview rates are the percentage of respondents from the pre-election that completed the post-election study. “Sufficient partials” are included. Rates are not weighted.

The pre-election re-interview rate for the 2016-2020 panel cases was 77.9 percent.

Pre‐election interviews were considered sufficiently complete to be counted as completions for weighting and for calculation of the response rate when the survey was administered through item SELFGEND_GENDTYP. The estimated AAPOR Response Rate 1 for the pre-election interview without the sufficient partial interviews was 37.1 percent for web-only, 39.0 percent for mixed web, 27.3 percent for mixed video, and 36.1 percent overall for the fresh cross-sectional component.

Post-election re-interviews were completed with 90.0 percent of pre-election participants overall. These re-interview rates were 94.0 percent for the ANES 2016 sample group, 88.1 for the web-only group, 88.7 for the mixed web group, 84.6 for the mixed video group, and 87.9 overall for the fresh cross-sectional component.

Restricted Data Access

Some variables have been removed from the full release dataset in order to protect respondent confidentiality. For these variables, the word “RESTRICTED” appears at the beginning of the variable label and responses have been set to the value “-3. Restricted.”

Examples of restricted variables include, but are not limited to: detailed geography, detailed religious denomination, birth date, detailed education, detailed business/industry, detailed occupation, detailed race/ethnicity, nationality, and detailed income.

Users can apply for access to some restricted variables through a Restricted Data Access agreement. Please see the Data Center on the ANES website for more information about the application process and variable availability.

Non-confidential, redacted texts for open‐ended variables are available for download as an auxiliary file from the ANES 2020 Time Series Study page on the ANES website.

Data Analysis, Weights, and Variance Estimation

The data should be analyzed using weights to accurately represent the population. Sampling errors should be calculated using methods that account for the complex sample design and the effects of weighting on variance.

Weights

The full release of the dataset includes 14 post-stratified weight variables. These weights replace the weights that were included in the preliminary releases of the dataset. Compared to the preliminary weights on the previous datasets, the final weights on the current dataset reduce the error in estimates of the presidential election outcome and better facilitate design-consistent estimates of relatively small population subgroups. Each weight variable is designed for analysis of a particular subset or combination of sample cases.

For analysis of the complete set of cases using pre-election data only, including all cases and representative of the 2020 electorate, use the full sample pre-election weight, V200010a. For analysis including post-election data for the complete set of participants (i.e., analysis of post-election data only or a combination of pre- and post-election data), use the full sample post-election weight, V200010b. Additional weights are provided for analysis of subsets of the data, as follows.

V200010a	Full sample pre-election weight. This weight is for the full pre-election dataset, consisting of the combination of sample groups for the web-only, mixed web, and mixed video modes, and the 2016-2020 panel cases combined. Most analyses limited to pre-election data should use this weight unless the sample group is intended to be limited to a subset.
V200010b	Full sample post-election weight. This is the post-election version of the full sample weight, V200010a, to be used if any post-election data are included in the analysis of full-sample data.
V200011a	2016-2020 panel pre-election weight. This weight is for analysis of the 2016-2020 panel cases (also labeled as sample type 2 in V200003). Analyses should use this weight if the 2020 and 2016 data are merged and variables from the 2016 study are included in the analysis, and the population of interest is the 2016 electorate, and only pre-election data are used.
V200011b	2016-2020 panel post-election weight. This is the post-election version of the 2016-2020 panel weight.
V200012a	Web-only sample pre-election weight. This weight is for analysis of the web-only sample group alone (the sample subset limited to a web questionnaire option, also known as sample group 3A).
V200012b	Web-only sample post-election weight.
V200013a	Mixed web sample pre-election weight. This weight is for analysis of the mixed web sample group alone (the sample subset that used sequential mixed-mode interviewing that included a telephone option toward the end of the field period, also known as sample group 3B).
V200013b	Mixed web sample post-election weight.
V200014a	Mixed video sample pre-election weight. This weight is for analysis of the mixed video sample group alone (the sample subset that used sequential mixed-mode interviewing that attempted a video interview but accepted a web questionnaire or telephone interview, also known as sample group 3C).
V200014b	Mixed video sample post-election weight.
V200015a	All fresh sample pre-election weight. This weight is for analysis of sample groups 3A, 3B, and 3C in combination, including all fresh cross-sectional sample from 2020 but excluding the 2016 panel cases.
V200015b	All fresh sample post-election weight.
V200016a	All sample excluding mixed video pre-election weight. This weight is for analysis of the web-only, mixed web, and 2016-2020 panel cases in combination (sample groups 2, 3A, and 3B), excluding the mixed video sample group (3C).
V200016b	All sample excluding mixed video post-election weight.

Sampling errors and significance testing

Statistical procedures for complex sample designs should be used to obtain appropriate estimates of sampling errors and indications of statistical significance. Statistical software such as Stata, R with a survey analysis package, or SPSS with the Complex Samples package can perform a Taylor Series calculation of sampling errors when provided with the appropriate (pseudo-)strata and (pseudo-)cluster (also known as PSU or variance unit) variables. In Stata, the command to set up this type of analysis is as follows:

svyset [pweight=WEIGHT], strata(STRATA) psu(CLUSTER)

In the code example above, WEIGHT would be replaced with the correct weight for the type of analysis being performed (as indicated in the previous section on weighting). STRATA and CLUSTER would be replaced with the corresponding variance stratum and variance unit (PSU/cluster) for the selected weight, as indicated below.

For weight	use variance unit/PSU/cluster	and use variance stratum
V200010a	V200010c	V200010d
V200010b	V200010c	V200010d
V200011a	V200011c	V200011d
V200011b	V200011c	V200011d
V200012a	V200012c	V200012d
V200012b	V200012c	V200012d
V200013a	V200013c	V200013d
V200013b	V200013c	V200013d
V200014a	V200014c	V200014d
V200014b	V200014c	V200014d
V200015a	V200015c	V200015d
V200015b	V200015c	V200015d
V200016a	V200016c	V200016d
V200016b	V200016c	V200016d

For example, the code to set up Stata for an analysis of the full sample including post-election data is as follows:

svyset [pweight=V200010b], strata(V200010d) psu(V200010c)

Note that the stratum and cluster variable names on this release are different than the variable names on the first preliminary release of pre-election data, but the names are identical to the second preliminary release of the pre- and post- election dataset.

For more information about weighted analysis of ANES data, see DeBell, How to Analyze ANES Survey Data: http://www.electionstudies.org/Library/papers/nes012492.pdf

Weighting methodology

The weights for fresh sample cases were calculated in the following steps:

1. Base weights were calculated as the reciprocal of selection probability for each address. Within each of the three sample groups (web-only, mixed web, or mixed video) the selection probabilities were the same.
2. An adjustment was made for unknown address eligibility.
3. A screener nonresponse adjustment was made, weighting by the inverse of base-weighted response rates within groups defined by Census region, Census division, dwelling type, and whether or not the address had a telephone number associated with it on the sampling frame.
4. An adjustment was made for within-household sampling based on the selected person’s probability of selection within their household.
5. A pre-election nonresponse adjustment was made using two variables from the screener: gender and the number of eligible adults in the household.
6. Pre-election raking adjustments were made to make survey estimates match known population characteristics (for which the main source was the March 2020 Current Population Survey): age by gender, marital status by gender, race/ethnicity by educational attainment, race/ethnicity by Census region, nation of birth, home tenure by metropolitan status, population density, household income, and early voter status. Large weight values were trimmed.
7. Post-election raking adjustments were made using the same characteristics as the pre-election adjustment.
8. Composite adjustments were made for combinations of sample groups. These composites were raked using the dimensions listed above and also adjust for different design effects in different sample groups by weighting each sample group according to its effective (design-adjusted) sample size.

For re-interview cases from the ANES 2016 Time Series sample, weights were calculated in the following steps:

1. Base weights consisted of the final 2016 post-election survey weight.
2. A sample-based raking adjustment for pre-election non-response was applied to make the sample match the 2016 results for gender and for 2016 sample type (face-to-face or Internet).
3. Pre-election raking adjustments were made using the same factors described above for the fresh sample cases, as well as sample-based raking for the 2016 presidential candidate vote choice.
4. Post-election raking adjustments were made using the same characteristics as the pre-election adjustments.
5. Composite adjustments were made, as described above for the fresh sample cases.

Complete documentation of the weight calculation methods will be included in the study’s forthcoming methodology report. Additional variables including replicate weights and weights at calculation stages prior to final post-stratification will be included in a future data release.

Orientation to the Data and Documentation

Dataset

The ANES 2020 Time Series Study Full Release is being made available in multiple formats: SPSS (.sav), Stata (.dta), Comma Separated Values (.csv), and a fixed-width raw data file that can be read into SAS, SPSS, and Stata using syntax statements that have been provided.

Variables are stored using formats optimized for their data type. Missing data are coded as negative numbers, for instance “-8. Don’t know”.

When downloading the dataset, users should also download and make use of the two following pieces of documentation:

Questionnaire

The first piece of documentation is the Questionnaire, a document that provides information about each of the questions that were asked in the survey. The questions in the Questionnaire are presented in the order they were asked. The Questionnaire includes the following information, where applicable, for each question: the section in which the question appears, question name, question wording, universe (where only a subset of respondents were to receive the question, which respondents those should be), response options, question logic, randomizations, display specifications, mode differences, and corresponding variables from the ANES 2020 Time Series Study Full Release dataset.

User Guide and Codebook

The second piece of documentation is this User Guide and Codebook. The remainder of this file, following this narrative section, consists of the codebook.

Whereas the Questionnaire provides information about questions that were asked in the survey, the Codebook provides information about variables that appear in the dataset.

Questions and variables do not always have a one-to-one relationship. For instance, multiple questions may be combined into a single summary variable. Or multiple variables may be derived from a single question. Furthermore, not all variables have associated questions - for example, administrative variables.

The Codebook includes the following information, where applicable, for each variable: the variable name (all variable names start with a “V”, and summary variables end with the suffix “x”), variable label (with “PRE:” indicating that it is from the pre-election study), question wording/variable meaning, response/code values and meanings, universe (where only a subset of respondents appear in a variable, which respondents those should be; note that universes are not included for most summary variables), associated survey question(s), information about whether randomization was used, interviewer instructions, and any other notes about the variable.

At the end of the Codebook is an appendix that consists of the exact programming code used to create some of the key summary variables in the dataset. Note that the programming code is from a variety of statistical packages, including SAS and SPSS, and that the programming code sometimes makes use of variables that may not appear within the current dataset. The programming code is not intended to be run “as is” on the current dataset, but rather to provide users insight into how the summary variables were created.

CODEBOOK: VARIABLES

GENERAL NON‐SURVEY VARIABLES

version	VERSION OF ANES 2020 TIME SERIES RELEASE
Value Labels	ANES2020TimeSeries_20210719

V200001

2020 CASE ID

V160001_orig	2016 CASE ID
Value Labels	-1. Inapplicable, not a re-interview case

V200002	MODE OF INTERVIEW: PRE-ELECTION INTERVIEW
Value Labels	1. Video 2. Telephone 3. Web
Variable Note	Due to a programming error, six respondents assigned to the web mode self-completed the interviewer version of the questionnaire. Their responses were corrected in this full release.

V200003	SAMPLE TYPE
Value Labels	2. ANES 2016-2020 Panel 3. 3Ar1 Fresh sample: web only, replicate 1 4. 3Ar2 Fresh sample: web only, replicate 2 5. 3B Fresh sample: web or phone 6. 3C Fresh sample: video, web, or phone

V200004	COMPLETED PRE ONLY, POST ONLY, OR COMPLETED PRE AND POST INTERVIEWS
Value Labels	1. pre-election interview (only) complete 2. post-election interview (only) complete 3. pre and post-election interviews (both) complete

V200005	CASE VALIDATION: ELIGIBILITY CONCERNS
Value Labels	0. No special concern 1. Some concern (possible substitution) 2. High concern (likely substitution) 3. Highest concern (evident substitution)

V200006	CASE VALIDATION: ELIGIBILITY OUTCOME
Value Labels	-2. Not included in validation study 1. Respondent definitely was selected person 2. Respondent definitely was not selected person 3. Uncertain 4. Not determined due to validation non-response

V200007	CASE VALIDATION: PRE- AND POST-ELECTION SELECTION STATUS
Value Labels	-2. Not included in validation study -1. Non-response to validation 1. Same respondent, pre and post 2. Pre - selected person, post - not selected person 3. Pre - not selected person, post - selected person 4. Other/undetermined

V200008	CASE VALIDATION: VALIDATION STUDY OUTCOME
Value Labels	-2. Not included in validation study 1. Right person interviewed no corrections needed 2. Refusal 3. Non-response to validation 4. Contact with inconclusive result 5. Right person interviewed, data correction needed 6. Wrong person interviewed

V200009	CORRECTIONS MADE TO PRELIMINARY DATA
Value Labels	0. No changes to data 1. Change to age variable 2. Change to gender variable 3. Change to other variable 4. Change to age and gender variables 5. Change to age, gender and other variables

WEIGHTING VARIABLES

V200010a	FULL SAMPLE PRE-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200010b	FULL SAMPLE POST-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200010c

FULL SAMPLE VARIANCE UNIT

V200010d

FULL SAMPLE VARIANCE STRATUM

V200011a	2016-2020 PANEL PRE-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200011b	2016-2020 PANEL POST-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200011c

2016-2020 PANEL VARIANCE UNIT

V200011d

2016-2020 PANEL VARIANCE STRATUM

V200012a	WEB-ONLY SAMPLE PRE-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200012b	WEB-ONLY SAMPLE POST-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200012c

WEB-ONLY SAMPLE VARIANCE UNIT

V200012d

WEB-ONLY SAMPLE VARIANCE STRATUM

V200013a	MIXED-WEB SAMPLE PRE-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200013b	MIXED-WEB SAMPLE POST-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200013c

MIXED-WEB SAMPLE VARIANCE UNIT

V200013d

MIXED-WEB SAMPLE VARIANCE STRATUM

V200014a	MIXED-VIDEO SAMPLE PRE-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200014b	MIXED-VIDEO SAMPLE POST-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200014c

MIXED-VIDEO SAMPLE VARIANCE UNIT

V200014d

MIXED-VIDEO SAMPLE VARIANCE STRATUM

V200015a	ALL FRESH SAMPLE (EXCLUDES 2016) PRE-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200015b	ALL FRESH SAMPLE (EXCLUDES 2016) POST-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200015c

ALL FRESH SAMPLE (EXCLUDES 2016) VARIANCE UNIT

V200015d

ALL FRESH SAMPLE (EXCLUDES 2016) VARIANCE STRATUM

V200016a	ALL SAMPLE EXCLUDING MIXED VIDEO PRE-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200016b	ALL SAMPLE EXCLUDING MIXED VIDEO POST-ELECTION WEIGHT
Variable Note	Draft weights from the preliminary release have been updated and replaced.

V200016c

ALL SAMPLE EXCLUDING MIXED-VIDEO VARIANCE UNIT

V200016d

ALL SAMPLE EXCLUDING MIXED-VIDEO VARIANCE STRATUM

PRE‐ ELECTION SURVEY VARIABLES

V201001	PRE: SELECT LANGUAGE
Question	Would you like to complete this survey in English or Spanish? ¿Quisiera completar esta encuesta en inglés o español?
Value Labels	1. English / Ingles 2. Spanish / Espanol
Survey Question(s)	START_LANGUAGESELECT
Interviewer Instruction	{IF OBVIOUS, CODE WITHOUT ASKING.}

V201002a	PRE: DOES R HAVE PARTICIPANT BOOKLET FOR PHONE INTERVIEW
Question	We mailed you a booklet. It was enclosed with the letter inviting you to participate. It says “ANES Participant Booklet” on the cover. We need to use that booklet during the interview. Do you have it now?
Value Labels	-1. Inapplicable 1. R has booklet (paper or emailed) 2. R does not have paper or email booklet
Universe	IF INTERVIEW TYPE IS PHONE:
Survey Question(s)	BOOKLET_PHONE
Interviewer Instruction	{WAIT IF NECESSARY. OFFER TO EMAIL IT IF NECESSARY: If you don’t have it, I can send it to you by email right now. What is your email address?}

V201002b	PRE: CAN R SEE PARTICIPANT BOOKLET FOR VIDEO INTERVIEW
Question	For some of the questions, I’ll share my screen and show you a card with all the answer categories listed. This will help you choose the best answer because you won’t have to try to remember all the choices as I read them. Can you see the “ANES Participant Booklet” now?
Value Labels	-4. Technical error -1. Inapplicable 1. R sees booklet on screen or PDF 2. R does not see booklet on screen or PDF
Universe	IF INTERVIEW TYPE IS VIDEO:
Survey Question(s)	BOOKLET_VIDEO
Interviewer Instruction	{IF NECESSARY: You might find it easier if I email the booklet to you now. IF NECESSARY: ASK EMAIL ADDRESS AND SEND BOOKLET.}

V201003	PRE: PRE-ELECTION INTERVIEW AUDIO CONSENT
Question	This interview may be monitored for training and data quality purposes.
Value Labels	-4. Technical error -1. Inapplicable 1. Continue
Universe	IF INTERVIEW TYPE IS VIDEO:
Survey Question(s)	CONSENT_AUDCONS

V201004	PRE: INTERVIEWER: IS R MALE OR FEMALE (OBSERVATION)
Question	IS THE RESPONDENT MALE OR FEMALE? IF UNSURE, CODE DK.
Value Labels	-4. Technical error -1. Inapplicable 1. Male 2. Female
Universe	IF INTERVIEW TYPE IS VIDEO:
Survey Question(s)	GEND_GENDOBS

V201005	PRE: HOW OFTEN DOES R PAY ATTENTION TO POLITICS AND ELECTIONS
Question	How often do you pay attention to what’s going on in government and politics?
Value Labels	-9. Refused 1. Always 2. Most of the time 3. About half the time 4. Some of the time 5. Never
Survey Question(s)	CAMPINT_POLATTREV
Response Order	Forward/Reverse order

V201006	PRE: HOW INTERESTED IN FOLLOWING CAMPAIGNS
Question	Some people don’t pay much attention to political campaigns. How about you? Would you say that you have been very much interested, somewhat interested or not much interested in the political campaigns so far this year?
Value Labels	-9. Refused 1. Very much interested 2. Somewhat interested 3. Not much interested
Survey Question(s)	CAMPINT_CAMPINTSTD
Response Order	Forward/Reverse order

V201007a	PRE: VOTE SECTION - ORDER OF MAJOR PARTY CANDIDATE NAMES
Value Labels	1. Democrat first / Republican second 2. Republican first / Democrat second

V201007b	PRE: VOTE SECTION - HOUSEHOLD ADDRESS PRELOADED (SAMPLE ADDRESS)
Value Labels	1. Sample address preloaded

V201007c	PRE: VOTE SECTION - CANDIDATE NAMES PRELOADED FOR SAMPLE ADDRESS
Value Labels	0. No candidate names preloaded for location of sample address 1. Candidate names preloaded for location of sample address

V201008	PRE: WHERE IS R REGISTERED TO VOTE (PRE-ELECTION)
Question	Now on a different topic. Are you registered to vote at [Respondent’s preloaded address], registered at a different address, or not currently registered?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Registered at this address 2. Registered at a different address 3. Not currently registered
Universe	IF FTF MODE / IF WEB RESPONDENT WITH ADDRESS ON FILE (PRELOADED):
Survey Question(s)	PREVOTE_REGIST

V201009	PRE: WEB ONLY: IS R WITHOUT ADDRESS REGISTERED TO VOTE (PRE-ELECTION)
Question	Are you registered to vote?
Value Labels	-1. Inapplicable 1. Yes 2. No
Universe	IF ADMINISTRATION MODE IS INTERNET: IF WEB RESPONDENT HAS NO ADDRESS ON FILE (NOT PRELOADED):
Survey Question(s)	PREVOTE_WEBNOREGADD

V201010	PRE: ADDRESS OF REGISTRATION GIVEN (NOT REGISTERED AT SAMPLE ADDRESS)
Question	What is the address where you are registered to vote now?
Value Labels	-1. Inapplicable 0. Registration address not given 1. Registration address given
Universe	IF R IS REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS / IF WEB R WITHOUT PRELOAD ADDRESS INDICATES REGISTERED:
Survey Question(s)	PREVOTE_REG

V201011	PRE: STATE INCLUDED IN ADDRESS OF REGISTRATION (NOT REGISTERED AT SAMP ADDR)
Question	What is the address where you are registered to vote now?
Value Labels	-1. Inapplicable 0. State not included with registration address 1. State included with registration address 2. State included with registration address (wrong field)
Universe	IF R IS REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS / IF WEB R WITHOUT PRELOAD ADDRESS INDICATES REGISTERED:
Survey Question(s)	PREVOTE_REG

V201012	PRE: CITY INCLUDED IN ADDRESS OF REGISTRATION (NOT REGISTERED AT SAMP ADDR)
Question	What is the address where you are registered to vote now?
Value Labels	-1. Inapplicable 0. City not included with registration address 1. City included with registration address 2. City included with registration address (wrong field)
Universe	IF R IS REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS / IF WEB R WITHOUT PRELOAD ADDRESS INDICATES REGISTERED:
Survey Question(s)	PREVOTE_REG

V201013a	PRE: STATE OF REGISTRATION (NOT REGISTERED AT SAMP ADDR; GIVEN AT REG)
Question	What is the address where you are registered to vote now?
Value Labels	-1. Inapplicable 1. Alabama  2. Alaska  4. Arizona 5. Arkansas  6. California  8. Colorado 9. Connecticut  10. Delaware 11. Washington DC 12. Florida  13. Georgia   15. Hawaii 16. Idaho   17. Illinois   18. Indiana 19. Iowa   20. Kansas   21. Kentucky 22. Louisiana   23. Maine   24. Maryland 25. Massachusetts   26. Michigan   27. Minnesota 28. Mississippi   29. Missouri   30. Montana 31. Nebraska   32. Nevada   33. New Hampshire 34. New Jersey   35. New Mexico   36. New York 37. North Carolina   38. North Dakota   39. Ohio 40. Oklahoma   41. Oregon   42. Pennsylvania 44. Rhode Island   45. South Carolina   46. South Dakota 47. Tennessee   48. Texas   49. Utah 50. Vermont   51. Virginia   53. Washington 54. West Virginia   55. Wisconsin   56. Wyoming
Universe	IF R IS REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS / IF WEB R WITHOUT PRELOAD ADDRESS INDICATES REGISTERED:
Survey Question(s)	PREVOTE_REG

V201013b	PRE: STATE OF REGISTRATION (NOT REGISTERED AT SAMP ADDR; GIVEN AT REGWHST)
Question	In what state are you registered to vote now?
Value Labels	-1. Inapplicable 1. Alabama  2. Alaska  4. Arizona 5. Arkansas  6. California  8. Colorado 9. Connecticut  10. Delaware 11. Washington DC 12. Florida  13. Georgia   15. Hawaii 16. Idaho   17. Illinois   18. Indiana 19. Iowa   20. Kansas   21. Kentucky 22. Louisiana   23. Maine   24. Maryland 25. Massachusetts   26. Michigan   27. Minnesota 28. Mississippi   29. Missouri   30. Montana 31. Nebraska   32. Nevada   33. New Hampshire 34. New Jersey   35. New Mexico   36. New York 37. North Carolina   38. North Dakota   39. Ohio 40. Oklahoma   41. Oregon   42. Pennsylvania 44. Rhode Island   45. South Carolina   46. South Dakota 47. Tennessee   48. Texas   49. Utah 50. Vermont   51. Virginia   53. Washington 54. West Virginia   55. Wisconsin   56. Wyoming
Universe	IF R IS REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS / IF WEB R WITHOUT PRELOAD ADDRESS INDICATES REGISTERED: IF STATE OF REGISTRATION (AT LEAST) WAS NOT PROVIDED FOR REGISTRATION ADDRESS:
Survey Question(s)	PREVOTE_REGWHST

V201014a	PRE: REGISTRATION STATE SAME AS SAMPLE ADDRESS STATE (ALL REGISTRATIONS)
Value Labels	-1. Inapplicable 0. State of registration not the same as state of sample address 1. State of registration same as state of sample address

V201014b

PRE: REGISTRATION STATE (ALL REGISTRATIONS)

Value Labels

-1. Inapplicable 1. Alabama  2. Alaska  4. Arizona 5. Arkansas  6. California  8. Colorado 9. Connecticut  10. Delaware 11. Washington DC 12. Florida  13. Georgia   15. Hawaii 16. Idaho   17. Illinois   18. Indiana 19. Iowa   20. Kansas   21. Kentucky 22. Louisiana   23. Maine   24. Maryland 25. Massachusetts   26. Michigan   27. Minnesota 28. Mississippi   29. Missouri   30. Montana 31. Nebraska   32. Nevada   33. New Hampshire 34. New Jersey   35. New Mexico   36. New York 37. North Carolina   38. North Dakota   39. Ohio 40. Oklahoma   41. Oregon   42. Pennsylvania 44. Rhode Island   45. South Carolina   46. South Dakota 47. Tennessee   48. Texas   49. Utah 50. Vermont   51. Virginia   53. Washington 54. West Virginia   55. Wisconsin   56. Wyoming

V201014c	PRE: SENATE RACE IN STATE OF REGISTRATION (ALL REGISTRATIONS)
Value Labels	-1. Inapplicable 0. No Senate race in state of registration 1. Senate race in state of registration

V201014d	PRE: GOVERNOR RACE IN STATE OF REGISTRATION (ALL REGISTRATIONS)
Value Labels	-1. Inapplicable 0. No Governor race in state of registration 1. Governor race in state of registration

V201014e	PRE: PARTY REGISTRATION IN STATE OF REGISTRATION (ALL REGISTRATIONS)
Value Labels	-1. Inapplicable 0. No party registration in state of registration 1. Party registration in state of registration

V201015	PRE: IS R REGISTERED TO VOTE IN PRELOAD COUNTY
Question	Is your registration address in [Respondent’s preloaded county name]?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes, registered in county of sample address 2. No, registered in other county 5. County of sample address is incorrect {VOL - video/phone only}
Universe	IF R REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS: IF R REGISTERED IN SAME STATE AS PRELOAD ADDRESS:
Survey Question(s)	PREVOTE_REGINCNTY

V201015z	RESTRICTED: PRE: IS R REGISTERED TO VOTE PRELOAD COUNTY - OTHER {SPECIFY}
Question	Is your registration address in [Respondent’s preloaded county name]?
Value Labels	-3. Restricted
Universe	IF R REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS: IF R REGISTERED IN SAME STATE AS PRELOAD ADDRESS:
Survey Question(s)	PREVOTE_REGINCNTY

V201016	PRE: HOW LONG HAS R BEEN REGISTERED AT LOCATION
Question	How many years have you been registered to vote at [this/that] address?
Value Labels	-9. Refused -1. Inapplicable 1. 0-1 years 2. 2-5 years 3. 5 years or more
Universe	IF R REGISTERED AT PRELOAD ADDRESS / IF R NOT REGISTERED AT PRELOAD ADDRESS AND PROVIDED ADDRESS OF REGISTRATION:
Survey Question(s)	PREVOTE_REGYRS
Interviewer Instruction	{ENTER 0 IF RESPONSE IS LESS THAN 1 YEAR}

V201017	RESTRICTED: PRE: NAME UNDER WHICH R REGISTERED TO VOTE
Question	Some people register to vote under their full name and others use different versions of their name. Others might have changed their name since they registered. What about you? Under what name are you registered to vote?
Value Labels	-3. Restricted - STAFF ONLY
Universe	IF R IS REGISTERED TO VOTE:
Survey Question(s)	PREVOTE_REGNAME
Interviewer Instruction	{INTERVIEWER: PROBE GENTLY FOR THE NAME. DO NOT PROBE REFUSALS}

V201018	PRE: PARTY OF REGISTRATION
Question	What political party are you registered with, if any?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Democratic party 2. Republican party 4. None or ‘independent’ 5. Other {SPECIFY}
Universe	IF R IS REGISTERED TO VOTE: IF R IS REGISTERED TO VOTE IN STATE WHERE PARTY MAY BE REGISTERED:
Survey Question(s)	PREVOTE_REGPTY

V201018z	RESTRICTED: PRE: PARTY OF REGISTRATION - OTHER {SPECIFY}
Question	What political party are you registered with, if any?
Value Labels	-3. Restricted
Universe	IF R IS REGISTERED TO VOTE: IF R IS REGISTERED TO VOTE IN STATE WHERE PARTY MAY BE REGISTERED:
Survey Question(s)	PREVOTE_REGPTY

V201019	PRE: DOES R INTEND TO REGISTER TO VOTE
Question	Do you intend to register to vote before the November 3 elections, or do you not intend to register?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes, intend to register 2. No, do not intend to register
Universe	IF R IS NOT REGISTERED TO VOTE OR DK IF REGISTERED TO VOTE:
Survey Question(s)	PREVOTE_REGINT

V201020	PRE: DID R VOTE IN A PRESIDENTIAL PRIMARY OR CAUCUS
Question	Did you vote in a Presidential primary election or caucus this year?
Value Labels	-9. Refused -8. Don’t know 1. Yes, voted in primary or caucus 2. No, didn’t vote in primary or caucus
Survey Question(s)	PREVOTE_PRIMV

V201021	PRE: FOR WHICH CANDIDATE DID R VOTE IN PRESIDENTIAL PRIMARY
Question	In the Presidential primary or caucus, who did you vote for?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Joe Biden 2. Michael Bloomberg 3. Pete Buttigieg 4. Amy Klobuchar 5. Bernie Sanders 6. Elizabeth Warren 7. Another Democrat 8. Donald Trump 9. Another Republican 10. Someone else who is not a Republican or a Democrat
Universe	IF R VOTED IN A PRESIDENTIAL PRIMARY OR CAUCUS:
Survey Question(s)	PREVOTE_PRIMVWHO
Interviewer Instruction	{PROBE IF NECESSARY: Is that a Democrat, a Republican or neither?}

V201022	PRE: ALREADY VOTED IN GENERAL ELECTION
Question	This question is not about the primary elections and caucuses that were held a few months ago. Instead, we’d like to ask you about the election for President to be held on November 3, in which [Donald Trump / Joe Biden] is running against [Joe Biden / Donald Trump]. Have you already voted in that election, or have you not voted?
Value Labels	-9. Refused 1. Have voted 2. Have not voted
Survey Question(s)	PREVOTE_VOTED
Randomization	Order of names in question text

V201023	PRE: CONFIRMATION VOTED (EARLY) IN NOVEMBER 3 ELECTION
Question	Just to be clear, I’m recording that you already voted in the election that is scheduled to take place on November 3. Is that right?
Value Labels	-9. Refused -1. Inapplicable 1. Yes, voted 2. No, have not voted
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS:
Survey Question(s)	PREVOTE_VCONF

V201024	PRE: IN WHAT MANNER DID R VOTE
Question	Which one of the following best describes how you voted?
Value Labels	-9. Refused -1. Inapplicable 1. Definitely voted in person at a polling place before election day 2. Definitely voted by mailing a ballot to elections officials before election day 3. Definitely voted in some other way 4. Not completely sure whether you voted or not
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED FOR THE CURRENT YEAR GENERAL ELECTIONS:
Survey Question(s)	PREVOTE_HOWVOTE

V201025x	PRE: SUMMARY: REGISTRATION AND EARLY VOTE STATUS
Value Labels	-4. Technical error 1. Not registered (or DK/RF), does not intend to register (or DK/RF intent) 2. Not registered (or DK/RF), intends to register 3. Registered but did not vote early (or DK/RF) 4. Registered and voted early

V201026	PRE: IWR CHECKPOINT: HAVE CORRECT PRE BALLOT CARD - AUTOCODED
Question	PLEASE INDICATE WHETHER YOU BROUGHT THE CORRECT BALLOT CARD FOR THIS RESPONDENT:
Value Labels	-4. Technical error -1. Inapplicable 1. Yes, have yellow/green ballot card for R’s district 2. Have ballot card for R’s district but the COLOR is wrong 3. Have ballot card for the WRONG district 4. Do not have ballot card
Variable Note	Hard copy ballat cards were not used in the 2020 study, so the source survey question, PREVOTE_CKBCARD, for interviewers was not used and was simply autocoded to 1. Therefore, PREVOTE_CKBCARD is not included in ANES 2020 Time Series Study Survey Questionnaires.
Universe	IF MODE IS FTF: IF HAS NOT REFUSED TO INDICATE REGISTRATION STATUS: IF R IS REGISTERED IN COUNTY OF CURRENT ADDRESS OR IF R IS NOT REGISTERED: IF PRELOAD CANDIDATE NAMES ARE NOT ALL MISSING FOR ANY OF: HOUSE, SENATE, GOVERNOR:
Survey Question(s)	PREVOTE_CKBCARD
Interviewer Instruction	{IF YOU BROUGHT A BALLOT CARD FOR A STATE-DISTRICT DIFFERENT THAN THE ONE INDICATED, SET ASIDE AND DO NOT ALLOW THE RESPONDENT TO SEE IT. IF YOU BROUGHT THE BALLOT CARD FOR THE INDICATED STATE-DISTRICT BUT THE COLOR IS NOT CORRECTINDICATE THE WRONG COLOR HERE}

V201028	PRE: DID R VOTE FOR PRESIDENT
Question	How about the election for President? Did you vote for a candidate for President?
Value Labels	-9. Refused -1. Inapplicable 1. Yes, voted for President 2. No, didn’t vote for President
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED:
Survey Question(s)	PREVOTE_PRESVT

V201029	PRE: FOR WHOM DID R VOTE FOR PRESIDENT
Question	Who did you vote for? [Joe Biden, Donald Trump/Donald Trump, Joe Biden], Jo Jorgensen, Howie Hawkins, or someone else?
Value Labels	-9. Refused -1. Inapplicable 1. Joe Biden 2. Donald Trump 3. Jo Jorgensen 4. Howie Hawkins 5. Other candidate {SPECIFY} 12. Specified as refused
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF R VOTED FOR PRESIDENT:
Survey Question(s)	PREVOTE_PRESVTWHO
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201029z	PRE: FOR WHOM DID R VOTE FOR PRESIDENT - OTHER {SPECIFY}
Question	Who did you vote for? [Joe Biden, Donald Trump/Donald Trump, Joe Biden], Jo Jorgensen, Howie Hawkins, or someone else?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF R VOTED FOR PRESIDENT:
Survey Question(s)	PREVOTE_PRESVTWHO
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201030	PRE: PREFERENCE STRONG FOR PRES CAND FOR WHOM R VOTED
Question	Would you say your preference for this candidate was strong or not strong?
Value Labels	-1. Inapplicable 1. Strong 2. Not strong
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF R VOTED FOR PRESIDENT: IF R’S VOTE FOR PRESIDENT IS NOT DK/RF/SK:
Survey Question(s)	PREVOTE_PRESSTR

V201031	PRE: HOW LONG BEFORE ELECTION R MADE DECISION PRES VOTE
Question	How long before you voted did you decide that you were going to vote the way you did?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF R VOTED FOR PRESIDENT: IF R’S VOTE FOR PRESIDENT IS NOT DK/RF/SK:
Survey Question(s)	PREVOTE_VTPRESDEC
Interviewer Instruction	{PROBE IF NECESSARY: WOULD THAT HAVE BEEN A FEW DAYS BEFORE YOU VOTED, A WEEK, OR LONGER THAN THAT?}

V201031y	PRE: HOW LONG BEFORE ELECTION R MADE DECISION PRES VOTE [CODED]
Question	How long before you voted did you decide that you were going to vote the way you did?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. That day; when I walked into the booth 2. One day 3. More than one day/less than one week; a few days; a couple of days 4. One week; seven days 5. More than one week/less than one month; a few weeks; a couple of weeks 6. One month 7. More than one month, less than two months 8. Two to three months; a couple of months; after the convention; after he was nominated 9. More than 3 months and less than 6 months; a few months/several months, during the convention; when he was nominated 10. Six months 11. More than six months; during the primaries; during the caucuses; all the time 12. Specific event; answer mentions an even other than convention, nomination, primaries, or caucuses 13. Other; the answer does not mention a time frame or a specific event
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF R VOTED FOR PRESIDENT: IF R’S VOTE FOR PRESIDENT IS NOT DK/RF/SK:
Survey Question(s)	PREVOTE_VTPRESDEC
Interviewer Instruction	{PROBE IF NECESSARY: WOULD THAT HAVE BEEN A FEW DAYS BEFORE YOU VOTED, A WEEK, OR LONGER THAN THAT?}

V201032	PRE: DOES R INTEND TO VOTE FOR PRESIDENT
Question	Do you intend to vote in the November election for President?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS:
Survey Question(s)	PREVOTE_INTPRES

V201033	PRE: FOR WHOM DOES R INTEND TO VOTE FOR PRESIDENT
Question	Who do you think you will vote for? [Joe Biden, Donald Trump/Donald Trump, Joe Biden], Jo Jorgensen, Howie Hawkins, or someone else?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Joe Biden 2. Donald Trump 3. Jo Jorgensen 4. Howie Hawkins 5. Other candidate {SPECIFY} 11. Specified as don’t know 12. Specified as refused
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R INTENDS TO VOTE IN THE ELECTION FOR PRESIDENT:
Survey Question(s)	PREVOTE_INTPRESWHO
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201033z	PRE: FOR WHOM DOES R INTEND TO VOTE FOR PRESIDENT - OTHER {SPECIFY}
Question	Who do you think you will vote for? [Joe Biden, Donald Trump/Donald Trump, Joe Biden], Jo Jorgensen, Howie Hawkins, or someone else?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R INTENDS TO VOTE IN THE ELECTION FOR PRESIDENT:
Survey Question(s)	PREVOTE_INTPRESWHO
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201034	PRE: PREFERENCE STRONG FOR PRESIDENTIAL CANDIDATE FOR WHOM R INTENDS TO VOTE
Question	Would you say your preference for this candidate is strong or not strong?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Strong 2. Not strong
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R INTENDS TO VOTE IN THE ELECTION FOR PRESIDENT: IF R’S INTENDED VOTE FOR PRESIDENTIAL CANDIDATE IS NOT DK/RF/SK:
Survey Question(s)	PREVOTE_INTPRESST

V201035	PRE: DOES R PREFER PRESIDENTIAL CANDIDATE
Question	Do you prefer one of the candidates in the November election for President?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DOES NOT INTEND TO VOTE FOR PRESIDENT OR INTENT IS DK/RF/SK:
Survey Question(s)	PREVOTE_PREFPRES

V201036	PRE: PREFERENCE FOR PRESIDENTIAL CANDIDATE
Question	Who do you prefer? [Joe Biden, Donald Trump/Donald Trump, Joe Biden], Jo Jorgensen, Howie Hawkins, or someone else?
Value Labels	-9. Refused -1. Inapplicable 1. Joe Biden 2. Donald Trump 3. Jo Jorgensen 4. Howie Hawkins 5. Other candidate {SPECIFY}
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DOES NOT INTEND TO VOTE FOR PRESIDENT OR INTENT IS DK/RF/SK: IF R PREFERS A PRESIDENTIAL CANDIDATE:
Survey Question(s)	PREVOTE_PREFPRWHO
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201036z	PRE: PREFERENCE FOR PRESIDENTIAL CANDIDATE - OTHER {SPECIFY}
Question	Who do you prefer? [Joe Biden, Donald Trump/Donald Trump, Joe Biden], Jo Jorgensen, Howie Hawkins, or someone else?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DOES NOT INTEND TO VOTE FOR PRESIDENT OR INTENT IS DK/RF/SK: IF R PREFERS A PRESIDENTIAL CANDIDATE:
Survey Question(s)	PREVOTE_PREFPRWHO
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201037	PRE: PREFERENCE STRONG FOR PRESIDENTIAL CANDIDATE
Question	Would you say your preference for this candidate is strong or not strong?
Value Labels	-1. Inapplicable 1. Strong 2. Not strong
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DOES NOT INTEND TO VOTE FOR PRESIDENT OR INTENT IS DK/RF/SK: IF R PREFERS A PRESIDENTIAL CANDIDATE: IF PRESIDENTIAL CANDIDATE PREFERENCE IS NOT DK/RF/SK:
Survey Question(s)	PREVOTE_PREFPRSTR

V201038	PRE: DID R VOTE FOR US HOUSE OF REPRESENTATIVES
Question	How about the election for the House of Representatives inWashington? Did you vote for a candidate for the U.S. House ofRepresentatives?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes, voted for House of Representatives 2. No, didn’t vote for House of Representatives
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED:
Survey Question(s)	PREVOTE_VOTEHS

V201039	PRE: FOR WHOM DID R VOTE FOR US HOUSE (BALLOT CARD)
Question	Who did you vote for?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Democratic House candidate 2. Republican House candidate 3. Other/independent House candidate (name on ballot card) 5. Other {SPECIFY} (name not on ballot card) 6. Specified as Democratic House candidate 7. Specified as Republican House candidate 11. Specified as don’t know 12. Specified as refused
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF R VOTED FOR U.S. HOUSE OF REPRESENTATIVES: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE IN USE:
Survey Question(s)	PREVOTE_HSVTBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201039z	PRE: FOR WHOM DID R VOTE FOR US HOUSE (BALLOT CARD) - OTHER {SPECIFY}
Question	Who did you vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF R VOTED FOR U.S. HOUSE OF REPRESENTATIVES: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE IN USE:
Survey Question(s)	PREVOTE_HSVTBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201040	PRE: FOR WHOM DID R VOTE FOR US HOUSE (NO BALLOT CARD)
Question	Who did you vote for? Which party was that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF R VOTED FOR U.S. HOUSE OF REPRESENTATIVES: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE NOT IN USE, OR R SAID THEY ARE WRONG:
Survey Question(s)	PREVOTE_HSVTNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V201040y	PRE: FOR WHOM DID R VOTE FOR US HOUSE (NO BALLOT CARD) [CODED]
Value Labels	-1. Inapplicable 6. Specified as Democratic House candidate 7. Specified as Repulican House candidate 12. Specified as refused

V201041	PRE: DOES R INTEND TO VOTE FOR US HOUSE
Question	How about the election for the House of Representatives in Washington? Do you intend to vote in the election for the U.S. House of Representatives?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS:
Survey Question(s)	PREVOTE_INTHS

V201042	PRE: FOR WHOM DOES R INTEND TO VOTE FOR US HOUSE (BALLOT CARD)
Question	Who do you think you will vote for?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Democratic House candidate 2. Republican House candidate 3. Other/independent House candidate (name on ballot card) 4. R VOL: names read are not correct 5. Other {SPECIFY} (name not on ballot card) 6. Specified as Democrat House candidate 7. Specified as Republican House candidate 10. Specified as other/independent House candidate 11. Specified as don’t know 12. Specified as refused
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R INTENDS TO VOTE IN THE ELECTION FOR THE U.S. HOUSE: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE IN USE:
Survey Question(s)	PREVOTE_INTHSBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201042z	PRE: FOR WHOM DOES R INTEND TO VOTE FOR US HOUSE (BALLOT CARD) - OTHER {SPECIFY}
Question	Who do you think you will vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R INTENDS TO VOTE IN THE ELECTION FOR THE U.S. HOUSE: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE IN USE:
Survey Question(s)	PREVOTE_INTHSBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201043	PRE: FOR WHOM DOES R INTEND TO VOTE FOR US HOUSE (NO BALLOT CARD)
Question	Who do you think you will vote for? Which party is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R INTENDS TO VOTE IN THE ELECTION FOR THE U.S. HOUSE: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE NOT IN USE, OR R SAID THEY ARE WRONG:
Survey Question(s)	PREVOTE_INTHSNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V201043y	PRE: FOR WHOM DOES R INTEND TO VOTE FOR US HOUSE (NO BALLOT CARD) [CODED]
Value Labels	-1. Inapplicable 6. Specified as Democrat House candidate 7. Specified as Republican House candidate 10. Specified as other/independent House candidate 11. Specified as don’t know 12. Specified as refused

V201044	PRE: DOES R PREFER US HOUSE CANDIDATE
Question	Do you prefer one of the candidates for the U.S. House of Representatives?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DOES NOT INTEND TO VOTE FOR U.S. HOUSE OR INTENT IS DK/RF/SK:
Survey Question(s)	PREVOTE_HSPREF

V201045	PRE: WHOM DOES R PREFER FOR US HOUSE (BALLOT CARD)
Question	Who do you prefer?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Democratic House candidate 2. Republican House candidate 3. Other/independent House candidate (name on ballot card) 5. Other {SPECIFY} (name not on ballot card) 11. Specified as don’t know
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DOES NOT INTEND TO VOTE FOR U.S. HOUSE OR INTENT IS DK/RF: IF R PREFERS A CANDIDATE FOR U.S. HOUSE: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE IN USE:
Survey Question(s)	PREVOTE_HSPREFBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201045z	PRE: WHOM DOES R PREFER FOR US HOUSE (BALLOT CARD) - OTHER {SPECIFY}
Question	Who do you prefer?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DOES NOT INTEND TO VOTE FOR U.S. HOUSE OR INTENT IS DK/RF: IF R PREFERS A CANDIDATE FOR U.S. HOUSE: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE IN USE:
Survey Question(s)	PREVOTE_HSPREFBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201046	PRE: WHOM DOES R PREFER FOR US HOUSE (NO BALLOT CARD)
Question	Who do you prefer? Which party is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DOES NOT INTEND TO VOTE FOR U.S. HOUSE OR INTENT IS DK/RF: IF R PREFERS A CANDIDATE FOR U.S. HOUSE: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE NOT IN USE, OR R SAID THEY ARE WRONG:
Survey Question(s)	PREVOTE_HSPREFNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V201046y	PRE: WHOM DOES R PREFER FOR US HOUSE (NO BALLOT CARD) [CODED]
Value Labels	-1. Inapplicable 6. Specified as Democratic House candidate 7. Specified as Republican House candidate 11. Specified as don’t know 12. Specified as refused

V201047x

PRE SUMMARY: SENATE AND GOVERNOR RACES

Value Labels

0. No Senate/Governor racesamp address state (R not registered) 1. No Senate/Governor raceregistration state (R registered) 10. Senate race- sample address state (R not registered) 11. Senate race- registration state (R registered) 20. Governor race- samp address state (R not registered) 21. Governor raceregistration state (R registered) 30. Senate and Governor races- samp address state (R not registered) 31. Senate and Governor races- registration state (R registered)

V201048	PRE: DID R VOTE FOR US SENATE
Question	How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes, voted for Senate 2. No, didn’t vote for Senate
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF A SENATE RACE WAS HELD IN REGISTRATION STATE:
Survey Question(s)	PREVOTE_VOTESEN
Interviewer Instruction	[{SHOW BALLOT CARD}/{DO NOT SHOW A BALLOT CARD}]

V201049	PRE: R’S VOTE FOR US SENATE (BALLOT CARD)
Question	Who did you vote for?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Democratic Senate candidate 2. Republican Senate candidate 3. Other/independent Senate candidate (name on ballot card) 5. Other {SPECIFY} (name not on ballot card) 6. Specified as Democratic Senate candidate
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R VOTED FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE IN USE:
Survey Question(s)	PREVOTE_VTSENBC
Randomization	Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201049z	PRE: R’S VOTE FOR US SENATE (BALLOT CARD) - OTHER {SPECIFY}
Question	Who did you vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R VOTED FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE IN USE:
Survey Question(s)	PREVOTE_VTSENBC
Randomization	Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201050	PRE: R’S VOTE FOR US SENATE (NO BALLOT CARD)
Question	Who did you vote for? Which party was that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R VOTED FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE NOT IN USE:
Survey Question(s)	PREVOTE_VTSENNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V201050y	PRE: R’S VOTE FOR US SENATE (NO BALLOT CARD) [CODED]
Value Labels	-1. Inapplicable 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate 12. Specified as refused

V201051	PRE: DOES R INTEND TO VOTE FOR US SENATE
Question	How about the election for the U.S. Senate? Do you intend to vote in the election for the U.S. Senate?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SENATE RACE WAS HELD IN REGISTRATION STATE:
Survey Question(s)	PREVOTE_INTSEN
Interviewer Instruction	[{SHOW BALLOT CARD}/{DO NOT SHOW A BALLOT CARD}]

V201052	PRE: FOR WHOM DOES R INTEND TO VOTE FOR US SENATE (BALLOT CARD)
Question	Who do you think you will vote for?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Democratic Senate candidate 2. Republican Senate candidate 3. Other Senate candidate (name on ballot card) 5. Other {SPECIFY} (name not on ballot card) 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate 10. Specified as Other/independent Senate candidate 11. Specified as don’t know 12. Specified as refused
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R INTENDS TO VOTE FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE IN USE:
Survey Question(s)	PREVOTE_INTSENBC
Randomization	Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201052z	PRE: FOR WHOM DOES R INTEND TO VOTE FOR US SENATE (BALLOT CARD) - OTHER {SPECIFY}
Question	Who do you think you will vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R INTENDS TO VOTE FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE IN USE:
Survey Question(s)	PREVOTE_INTSENBC
Randomization	Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201053	PRE: FOR WHOM DOES R INTEND TO VOTE FOR US SENATE (NO BALLOT CARD)
Question	Who do you think you will vote for? Which party is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R INTENDS TO VOTE FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE NOT IN USE:
Survey Question(s)	PREVOTE_INTSENNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V201053y	PRE: FOR WHOM DOES R INTEND TO VOTE FOR US SENATE (NO BALLOT CARD) [CODED]
Value Labels	-1. Inapplicable 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate 10. Specified as Other/independent Senate candidate 11. Specified as don’t know 12. Specified as refused

V201054	PRE: DOES R PREFER US SENATE CANDIDATE
Question	Do you prefer one of the candidates for the U.S. Senate?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R DOES NOT INTEND TO VOTE FOR U.S. SENATE OR INTENT IS DK/RF/SK:
Survey Question(s)	PREVOTE_SENPREF
Interviewer Instruction	[{SHOW BALLOT CARD}/{DO NOT SHOW A BALLOT CARD}]

V201055	PRE: DOES R PREFER US SENATE CANDIDATE
Question	Who do you prefer?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Democratic Senate candidate 2. Republican Senate candidate 3. Other Senate candidate (name on ballot card) 5. Other {SPECIFY} (name not on ballot card) 7. Specified as Republican Senate candidate 11. Specified as don’t know
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R DOES NOT INTEND TO VOTE FOR U.S. SENATE OR INTENT IS DK/RF/SK: IF R PREFERS A CANDIDATE FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE IN USE:
Survey Question(s)	PREVOTE_SENPREFBC
Randomization	Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201055z	PRE: DOES R PREFER US SENATE CANDIDATE - OTHER {SPECIFY}
Question	Who do you prefer?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R DOES NOT INTEND TO VOTE FOR U.S. SENATE OR INTENT IS DK/RF/SK: IF R PREFERS A CANDIDATE FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE IN USE:
Survey Question(s)	PREVOTE_SENPREFBC
Randomization	Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201056	PRE: WHOM DOES R PREFER FOR US SENATE (NO BALLOT CARD)
Question	Who do you prefer? Which party is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R DOES NOT INTEND TO VOTE FOR U.S. SENATE OR INTENT IS DK/RF/SK: IF R PREFERS A CANDIDATE FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE NOT IN USE:
Survey Question(s)	PREVOTE_SENPREFNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V201056y	PRE: WHOM DOES R PREFER FOR US SENATE (NO BALLOT CARD) [CODED]
Value Labels	-1. Inapplicable 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate

V201057	PRE: DID R VOTE FOR US SENATE [SPECIAL ELECTION]
Question	How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate?
Value Labels	-1. Inapplicable 1. Yes, voted for Senate 2. No, didn’t vote for Senate
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE:
Survey Question(s)	PREVOTE_VOTESEN2
Interviewer Instruction	[{SHOW BALLOT CARD}/{DO NOT SHOW A BALLOT CARD}]

V201058	PRE: R’S VOTE FOR US SENATE (BALLOT CARD) [SPECIAL ELECTION]
Question	Who did you vote for?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Democratic Senate candidate 2. Republican Senate candidate 3. Other Senate candidate (name on ballot card) 5. Other {SPECIFY} (name not on ballot card) 6. Specified as Democratic Senate candidate 11. Specified as don’t know
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R VOTED IN U.S. SPECIAL SENATE ELECTION: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRATION STATE ARE IN USE:
Survey Question(s)	PREVOTE_VOTESEN2BC
Randomization	Order of response options 6-7 according to value in var ballotcolor.

V201058z	PRE: R’S VOTE FOR US SENATE (BALLOT CARD) [SPECIAL ELECTION] - OTHER {SPECIFY}
Question	Who did you vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R VOTED IN U.S. SPECIAL SENATE ELECTION: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRATION STATE ARE IN USE:
Survey Question(s)	PREVOTE_VOTESEN2BC
Randomization	Order of response options 6-7 according to value in var ballotcolor.

V201059	PRE: R’S VOTE FOR US SENATE (NO BALLOT CARD) [SPECIAL ELECTION]
Question	Who did you vote for? Which party was that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R VOTED IN U.S. SPECIAL SENATE ELECTION: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE NOT IN USE:
Survey Question(s)	PREVOTE_VOTESEN2NOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V201059y	PRE: R’S VOTE FOR US SENATE (NO BALLOT CARD) [SPECIAL ELECTION] [CODED]
Value Labels	-1. Inapplicable 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate 12. Specified as refused

V201060	PRE: DOES R INTEND TO VOTE FOR US SENATE [SPECIAL ELECTION]
Question	How about the election for the U.S. Senate? Do you intend to vote in the election for the U.S. Senate?
Value Labels	-9. Refused -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE:
Survey Question(s)	PREVOTE_INTSEN2
Interviewer Instruction	[{SHOW BALLOT CARD}/{DO NOT SHOW A BALLOT CARD}]

V201061	PRE: FOR WHOM DOES R INTEND TO VOTE FOR US SEN (BALLOT CARD) [SPECIAL ELECTION]
Question	Who do you think you will vote for?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Democratic Senate candidate 2. Republican Senate candidate 3. Other Senate candidate (name on ballot card) 5. Other {SPECIFY} (name not on ballot card) 6. Specified as Democratic Senate candidate 9. Specified as 2nd Republican Senate candidate 11. Specified as don’t know
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R INTENDS TO VOTE IN U.S. SPECIAL SENATE ELECTION: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE IN USE:
Survey Question(s)	PREVOTE_INTSEN2BC
Randomization	Order of response options 6-7 according to value in var ballotcolor.

V201061z	PRE: FOR WHOM DOES R INTEND TO VOTE US SEN (BC) [SPECIAL ELECTION] OTH {SPECIFY}
Question	Who do you think you will vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R INTENDS TO VOTE IN U.S. SPECIAL SENATE ELECTION: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE IN USE:
Survey Question(s)	PREVOTE_INTSEN2BC
Randomization	Order of response options 6-7 according to value in var ballotcolor.

V201062	PRE: FOR WHOM DOES R INTEND TO VOTE FOR US SENATE (NO BC) [SPECIAL ELECTION]
Question	Who do you think you will vote for? Which party is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R INTENDS TO VOTE IN U.S. SPECIAL SENATE ELECTION: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE NOT IN USE:
Survey Question(s)	PREVOTE_INTSEN2NOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V201062y	PRE: FOR WHOM DOES R INTEND TO VOTE US SENATE (NO BC) [SPEC ELECTION] [CODED]
Value Labels	-1. Inapplicable 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate 10. Specified as other/independent Senate candidate 11. Specified as don’t know 12. Specified as refused

V201063	PRE: DOES R PREFER US SENATE CANDIDATE [SPECIAL ELECTION]
Question	Do you prefer one of the candidates for the U.S. Senate?
Value Labels	-8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R DOES NOT INTEND TO VOTE IN U.S. SPECIAL SENATE ELECTION OR INTENT IS DK/RF/SK:
Survey Question(s)	PREVOTE_SENPREF2
Interviewer Instruction	[{SHOW BALLOT CARD}/{DO NOT SHOW A BALLOT CARD}]

V201064	PRE: DOES R PREFER US SENATE CANDIDATE [SPECIAL ELECTION]
Question	Who do you prefer?
Value Labels	-1. Inapplicable 1. Democratic Senate candidate 2. Republican Senate candidate 3. Other Senate candidate (name on ballot card) 5. Other {SPECIFY} (name not on ballot card)
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R DOES NOT INTEND TO VOTE IN U.S. SPECIAL SENATE ELECTION OR INTENT IS DK/RF/SK: IF R PREFERS A CANDIDATE FOR U.S. SPECIAL SENATE ELECTION: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE IN USE:
Survey Question(s)	PREVOTE_SENPREF2BC
Randomization	Order of response options 6-7 according to value in var ballotcolor.

V201064z	PRE: DOES R PREFER US SENATE CANDIDATE [SPECIAL ELECTION] - OTHER {SPECIFY}
Question	Who do you prefer?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R DOES NOT INTEND TO VOTE IN U.S. SPECIAL SENATE ELECTION OR INTENT IS DK/RF/SK: IF R PREFERS A CANDIDATE FOR U.S. SPECIAL SENATE ELECTION: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE IN USE:
Survey Question(s)	PREVOTE_SENPREF2BC
Randomization	Order of response options 6-7 according to value in var ballotcolor.

V201065	PRE: WHOM DOES R PREFER FOR US SENATE (NO BALLOT CARD) [SPECIAL ELECTION]
Question	Who do you prefer? Which party is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R DOES NOT INTEND TO VOTE IN U.S. SPECIAL SENATE ELECTION OR INTENT IS DK/RF/SK: IF R PREFERS A CANDIDATE FOR U.S. SPECIAL SENATE ELECTION: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE NOT IN USE:
Survey Question(s)	PREVOTE_SENPREF2NOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V201065y	PRE: WHOM DOES R PREFER FOR US SENATE (NO BALLOT CARD) [SPECIAL ELECTION] [CODED]
Value Labels	-1. Inapplicable 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate 12. Specified as refused

V201066	PRE: DID R VOTE FOR GOVERNOR
Question	How about the election for Governor? Did you vote for a candidate for Governor?
Value Labels	-1. Inapplicable 1. Yes, voted for governor 2. No, didn’t vote for governor
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION:
Survey Question(s)	PREVOTE_VOTEGOV
Interviewer Instruction	[{SHOW BALLOT CARD}/{DO NOT SHOW A BALLOT CARD}]

V201067	PRE: R’S VOTE FOR GOVERNOR (BALLOT CARD)
Question	Who did you vote for?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Democratic Governor candidate 2. Republican Governor candidate 5. Other {SPECIFY} (name not on ballot card) 12. Specified as refused
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION: IF R VOTED FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRATION STATE ARE IN USE:
Survey Question(s)	PREVOTE_VTGOVBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201067z	PRE: R’S VOTE FOR GOVERNOR (BALLOT CARD) - OTHER {SPECIFY}
Question	Who did you vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION: IF R VOTED FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRATION STATE ARE IN USE:
Survey Question(s)	PREVOTE_VTGOVBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201068	PRE: R’S VOTE FOR GOVERNOR (NO BALLOT CARD)
Question	Who did you vote for? Which party was that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R INDICATED VOTED EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF R CONFIRMED ALREADY VOTED IN THE CURRENT YEAR GENERAL ELECTIONS: IF R DID NOT INDICATE UNSURE WHETHER VOTED WHEN DESCRIBING HOW VOTED: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION: IF R VOTED FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRATION STATE ARE NOT IN USE:
Survey Question(s)	PREVOTE_VTGOVNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V201069	PRE: DOES R INTEND TO VOTE FOR GOVERNOR
Question	How about the election for Governor? Do you intend to vote for a candidate for Governor?
Value Labels	-8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION:
Survey Question(s)	PREVOTE_INTGOV
Interviewer Instruction	[{SHOW BALLOT CARD}/{DO NOT SHOW A BALLOT CARD}]

V201070	PRE: FOR WHOM DOES R INTEND TO VOTE FOR GOVERNOR (BALLOT CARD)
Question	Who do you think you will vote for?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Democratic Governor candidate 2. Republican Governor candidate 5. Other {SPECIFY} (name not on ballot card) 11. Specified as don’t know
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION: IF R INTENDS TO VOTE FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRATION STATE ARE IN USE:
Survey Question(s)	PREVOTE_INTGOVBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201070z	PRE: FOR WHOM DOES R INTEND TO VOTE FOR GOVERNOR (BALLOT CARD) - OTHER {SPECIFY}
Question	Who do you think you will vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION: IF R INTENDS TO VOTE FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRATION STATE ARE IN USE:
Survey Question(s)	PREVOTE_INTGOVBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201071	PRE: FOR WHOM DOES R INTEND TO VOTE FOR GOVERNOR (NO BALLOT CARD)
Question	Who do you think you will vote for? Which party is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION: IF R INTENDS TO VOTE FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRATION STATE ARE NOT IN USE:
Survey Question(s)	PREVOTE_INTGOVNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V201071y	PRE: FOR WHOM DOES R INTEND TO VOTE FOR GOVERNOR (NO BALLOT CARD) [CODED]
Value Labels	-1. Inapplicable 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate 10. Specified as other/independent Senate candidate 11. Specified as don’t know 12. Specified as refused

V201072	PRE: DOES R PREFER GUBERNATORIAL CANDIDATE
Question	Do you prefer one of the candidates for Governor?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION: IF R DOES NOT INTEND TO VOTE FOR GOVERNOR OR INTENT IS DK/RF/SK:
Survey Question(s)	PREVOTE_GOVPREF
Interviewer Instruction	[{SHOW BALLOT CARD}/{DO NOT SHOW A BALLOT CARD}]

V201073	PRE: WHOM DOES R PREFER FOR GOVERNOR (BALLOT CARD)
Question	Who do you prefer?
Value Labels	-9. Refused -1. Inapplicable 1. Democratic Governor candidate 2. Republican Governor candidate
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION: IF R DOES NOT INTEND TO VOTE FOR GOVERNOR OR INTENT IS DK/RF/SK: IF R PREFERS A CANDIDATE FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRATION STATE ARE IN USE:
Survey Question(s)	PREVOTE_GOVPREFBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201073z	PRE: WHOM DOES R PREFER FOR GOVERNOR (BALLOT CARD) - OTHER {SPECIFY}
Question	Who do you prefer?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION: IF R DOES NOT INTEND TO VOTE FOR GOVERNOR OR INTENT IS DK/RF/SK: IF R PREFERS A CANDIDATE FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRATION STATE ARE IN USE:
Survey Question(s)	PREVOTE_GOVPREFBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties

V201074	PRE: WHOM DOES R PREFER FOR GOVERNOR (NO BALLOT CARD)
Question	Who do you prefer? Which party is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT VOTE EARLY IN THE CURRENT YEAR GENERAL ELECTIONS: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION: IF R DOES NOT INTEND TO VOTE FOR GOVERNOR OR INTENT IS DK/RF/SK: IF R PREFERS A CANDIDATE FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRATION STATE ARE NOT IN USE:
Survey Question(s)	PREVOTE_GOVPREFNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V201074y	PRE: WHOM DOES R PREFER FOR GOVERNOR (NO BALLOT CARD)
Value Labels	-1. Inapplicable 7. Specified as Republican Senate candidate

V201075x	PRE: SUMMARY: PARTY OF PRE-ELECTION PRESIDENTIAL VOTE/INTENT/PREFERENCE
Value Labels	-1. Inapplicable 10. Democratic candidate selected (vote) 11. Republican candidate selected (vote) 12. Other candidate selected (vote) 20. Democratic candidate selected (intent to vote) 21. Republican candidate selected (intent to vote) 22. Other candidate selected (intent to vote) 30. Democratic candidate selected (preference) 31. Republican candidate selected (preference) 32. Other candidate selected (preference)
Survey Question(s)	PREVOTE_PRESVTWHO, PREVOTE_INTPRESWHO, PREVOTE_PREFPRWHO

V201076x	PRE: SUMMARY: PARTY OF PRE-ELECTION U.S. HOUSE VOTE/INTENT/PREFERENCE
Value Labels	-1. Inapplicable 10. Democratic candidate selected (vote) 11. Republican candidate selected (vote) 12. Other candidate selected (vote) 20. Democratic candidate selected (intent to vote) 21. Republican candidate selected (intent to vote) 22. Other candidate selected (intent to vote) 30. Democratic candidate selected (preference) 31. Republican candidate selected (preference) 32. Other candidate selected (preference)
Survey Question(s)	PREVOTE_HSVTBC, PREVOTE_HSVTNOBC, PREVOTE_INTHSBC, PREVOTE_INTHSNOBC, PREVOTE_HSPREFBC, PREVOTE_HSPREFNOBC

V201077x	PRE: SUMMARY: PARTY OF PRE-ELECTION U.S. SENATE VOTE/INTENT/PREFERENCE
Value Labels	-1. Inapplicable 10. Democratic candidate selected (vote) 11. Republican candidate selected (vote) 12. Other candidate selected (vote) 20. Democratic candidate selected (intent to vote) 21. Republican candidate selected (intent to vote) 22. Other candidate selected (intent to vote) 30. Democratic candidate selected (preference) 31. Republican candidate selected (preference) 32. Other candidate selected (preference)
Survey Question(s)	PREVOTE_VTSENBC, PREVOTE_VTSENNOBC, PREVOTE_INTSENBC, PREVOTE_INTSENNOBC, PREVOTE_SENPREFBC, PREVOTE_SENPREFNOBC

V201078x	PRE: SUMMARY: PARTY OF PRE-ELECTION GUBERNATORIAL VOTE/INTENT/PREFERENCE
Value Labels	-1. Inapplicable 10. Democratic candidate selected (vote) 11. Republican candidate selected (vote) 12. Other candidate selected (vote) 20. Democratic candidate selected (intent to vote) 21. Republican candidate selected (intent to vote) 22. Other candidate selected (intent to vote) 30. Democratic candidate selected (preference) 31. Republican candidate selected (preference) 32. Other candidate selected (preference)
Survey Question(s)	PREVOTE_VTGOVBC, PREVOTE_VTGOVNOBC, PREVOTE_INTGOVBC, PREVOTE_INTGOVNOBC, PREVOTE_GOVPREFBC, PREVOTE_GOVPREFNOBC

V201100	PRE: HOW LIKELY IS IT THAT R WILL VOTE IN NOVEMBER
Question	How likely is it that you will vote in the general election this November?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Extremely likely 2. Very likely 3. Moderately likely 4. Slightly likely 5. Not likely at all
Universe	IF R HAS NOT INDICATED DEFINITELY VOTED EARLY IN THE ELECTIONS:
Survey Question(s)	LIKELY_HOWLIKVT
Response Order	Forward/Reverse order

V201101	PRE: DID R VOTE FOR PRESIDENT IN 2016 [REVISED]
Question	Four years ago, in 2016, Hillary Clinton ran on the Democratic ticket against Donald Trump for the Republicans. We talk to many people who tell us they did not vote. And we talk to a few people who tell us they did vote, who really did not. We can tell they did not vote by checking with official government records. What about you? If we check the official government voter records, will they show that you voted in the 2016 presidential election, or that you did not vote in that election?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes, voted 2. No, didn’t vote
Universe	IF R SELECTED FOR VERSION 1A OF VERSION 1A / VERSION 1B SPLICE:
Survey Question(s)	RETROVOTE_PRESVTLASTREV
Randomization	Selection for question administered, RETROVOTE_PRESVTLASTREV or RETROVOTE_PRESVTLAST (Rand var randint_presvtlast: 1=RETROVOTE_PRESVTLASTREV, 2=RETROVOTE_PRESVTLAST)

V201102	PRE: DID R VOTE FOR PRESIDENT IN 2016
Question	Four years ago, in 2016, Hillary Clinton ran on the Democratic ticket against Donald Trump for the Republicans. Do you remember for sure whether or not you voted in that election?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes, voted 2. No, didn’t vote
Universe	IF R SELECTED FOR VERSION 1B OF VERSION 1A / VERSION 1B SPLICE:
Survey Question(s)	RETROVOTE_PRESVTLAST
Randomization	Selection for question administered, RETROVOTE_PRESVTLASTREV or RETROVOTE_PRESVTLAST (Rand var randint_presvtlast: 1=RETROVOTE_PRESVTLASTREV, 2=RETROVOTE_PRESVTLAST)
Interviewer Instruction	{DO NOT PROBE ‘DON’T KNOW’ RESPONSES}

V201103	PRE: RECALL OF LAST (2016) PRESIDENTIAL VOTE CHOICE
Question	Which one did you vote for?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Hillary Clinton 2. Donald Trump 5. Other {SPECIFY}
Universe	IF R SAYS VOTED FOR PRESIDENT IN LAST PRESIDENTIAL ELECTION:
Survey Question(s)	RETROVOTE_PREVVTWHO
Interviewer Instruction	{DO NOT PROBE ‘DK’ RESPONSE}

V201103z	PRE: RECALL OF LAST (2016) PRESIDENTIAL VOTE CHOICE - OTHER {SPECIFY}
Question	Which one did you vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R SAYS VOTED FOR PRESIDENT IN LAST PRESIDENTIAL ELECTION:
Survey Question(s)	RETROVOTE_PREVVTWHO
Interviewer Instruction	{DO NOT PROBE ‘DK’ RESPONSE}

V201104	PRE: DID R VOTE FOR PRESIDENT IN 2012 ELECTION
Question	Eight years ago, in 2012, Barack Obama ran on the Democratic ticket against Mitt Romney for the Republicans. Do you remember for sure whether or not you voted in that election?
Value Labels	-9. Refused -8. Don’t know 1. Yes, voted 2. No, didn’t vote
Survey Question(s)	RETROVOTE_PRESVT8YRAGO
Interviewer Instruction	{DO NOT PROBE ‘DON’T KNOW’ RESPONSES}

V201105	PRE: RECALL OF 2012 PRESIDENTIAL VOTE CHOICE
Question	Which one did you vote for?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Barack Obama 2. Mitt Romney 5. Other {SPECIFY}
Universe	IF R SAYS VOTED FOR PRESIDENT IN PRESIDENTIAL ELECTION 8 YRS AGO:
Survey Question(s)	RETROVOTE_PREVVT8YRWHO
Interviewer Instruction	{DO NOT PROBE ‘DK’ RESPONSE}

V201105z	PRE: RECALL OF 2012 PRESIDENTIAL VOTE CHOICE - OTHER {SPECIFY}
Question	Which one did you vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R SAYS VOTED FOR PRESIDENT IN PRESIDENTIAL ELECTION 8 YRS AGO:
Survey Question(s)	RETROVOTE_PREVVT8YRWHO
Interviewer Instruction	{DO NOT PROBE ‘DK’ RESPONSE}

INTRO PRES CAND LIKES-DISLIKES

Now I’d like to ask you about the good and bad points of the major candidates for President.

V201106	PRE: IS THERE ANYTHING R LIKES ABOUT DEMOCRATIC PRESIDENTIAL CANDIDATE
Question	Is there anything in particular about Joe Biden that might make you want to vote for him?
Value Labels	-9. Refused -8. Don’t know 1. Yes 2. No
Survey Question(s)	CANDLIK_LIKEDPC
Randomization	Order of Presidential candidates for the likes-dislikes set of questions.

V201107	PRE: WHAT IS IT THAT R LIKES ABOUT DEMOCRATIC PRESIDENTIAL CANDIDATE [TEXT]
Question	What is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DEMOCRATIC PRES CAND:
Survey Question(s)	CANDLIK_LIKEWHATDPC
Randomization	Order of Presidential candidates for the likes-dislikes set of questions.
Interviewer Instruction	{PROBE: ANYTHING ELSE? UNTIL R SAYS NO}

V201108	PRE: IS THERE ANYTHING R DISLIKES ABOUT DEMOCRATIC PRESIDENTIAL CANDIDATE
Question	Is there anything in particular about Joe Biden that might make you want to vote against him?
Value Labels	-9. Refused -8. Don’t know 1. Yes 2. No
Survey Question(s)	CANDLIK_DISLDPC
Randomization	Order of Presidential candidates for the likes-dislikes set of questions.

V201109	PRE: WHAT IS IT THAT R DISLIKES ABOUT DEMOCRATIC PRESIDENTIAL CANDIDATE [TEXT]
Question	What is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DEMOCRATIC PRES CAND:
Survey Question(s)	CANDLIK_DISLWHATDPC
Randomization	Order of Presidential candidates for the likes-dislikes set of questions.
Interviewer Instruction	{PROBE: ANYTHING ELSE? UNTIL R SAYS NO}

V201110	PRE: IS THERE ANYTHING R LIKES ABOUT REPUBLICAN PRESIDENTIAL CANDIDATE
Question	Is there anything in particular about Donald Trump that might make you want to vote for him?
Value Labels	-9. Refused -8. Don’t know 1. Yes 2. No
Survey Question(s)	CANDLIK_LIKERPC
Randomization	Order of Presidential candidates for the likes-dislikes set of questions.

V201111	PRE: WHAT IS IT THAT R LIKES ABOUT REPUBLICAN PRESIDENTIAL CANDIDATE [TEXT]
Question	What is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR REPUBLICAN PRES CAND:
Survey Question(s)	CANDLIK_LIKEWHATRPC
Randomization	Order of Presidential candidates for the likes-dislikes set of questions.
Interviewer Instruction	{PROBE: ANYTHING ELSE? UNTIL R SAYS NO}

V201112	PRE: IS THERE ANYTHING R DISLIKES ABOUT REPUBLICAN PRESIDENTIAL CANDIDATE
Question	Is there anything in particular about Donald Trump that might make you want to vote against him?
Value Labels	-9. Refused 1. Yes 2. No
Survey Question(s)	CANDLIK_DISLRPC
Randomization	Order of Presidential candidates for the likes-dislikes set of questions.

V201113	PRE: WHAT IS IT THAT R DISLIKES ABOUT REPUBLICAN PRESIDENTIAL CANDIDATE [TEXT]
Question	What is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST REPUBLICAN PRES CAND:
Survey Question(s)	CANDLIK_DISLWHATRPC
Randomization	Order of Presidential candidates for the likes-dislikes set of questions.
Interviewer Instruction	{PROBE: ANYTHING ELSE? UNTIL R SAYS NO}

V201114	PRE: ARE THINGS IN THE COUNTRY ON RIGHT TRACK
Question	Do you feel things in this country are generally going in the right direction, or do you feel things have pretty seriously gotten off on the wrong track?
Value Labels	-9. Refused -8. Don’t know 1. Right direction 2. Wrong track
Survey Question(s)	EMOTION_TRACK

V201115	PRE: HOW HOPEFUL R FEELS ABOUT HOW THINGS ARE GOING IN THE COUNTRY
Question	The next few questions are about how you feel about how things are going in the country these days.How hopeful do you feel about how things are going in the country these days?
Value Labels	-9. Refused -8. Don’t know 1. Not at all 2. A little 3. Somewhat 4. Very 5. Extremely
Survey Question(s)	EMOTION_EMOTHOPE
Randomization	order of emotions after TRACK
Response Order	Forward/Reverse order

V201116	PRE: HOW AFRAID R FEELS ABOUT HOW THINGS ARE GOING IN THE COUNTRY
Question	How afraid do you feel about how things are going in the country?
Value Labels	-9. Refused -8. Don’t know 1. Not at all 2. A little 3. Somewhat 4. Very 5. Extremely
Survey Question(s)	EMOTION_EMOTAFRAID
Randomization	order of emotions after TRACK
Response Order	Forward/Reverse order

V201117	PRE: HOW OUTRAGED R FEELS ABOUT HOW THINGS ARE GOING IN THE COUNTRY
Question	How outraged do you feel about how things are going in the country?
Value Labels	-9. Refused -8. Don’t know 1. Not at all 2. A little 3. Somewhat 4. Very 5. Extremely
Survey Question(s)	EMOTION_EMOTRAGE
Randomization	order of emotions after TRACK
Response Order	Forward/Reverse order

V201118	PRE: HOW ANGRY R FEELS ABOUT HOW THINGS ARE GOING IN THE COUNTRY
Question	How angry do you feel about how things are going in the country?
Value Labels	-9. Refused -8. Don’t know 1. Not at all 2. A little 3. Somewhat 4. Very 5. Extremely
Survey Question(s)	EMOTION_EMOTANGRY
Randomization	order of emotions after TRACK
Response Order	Forward/Reverse order

V201119	PRE: HOW HAPPY R FEELS ABOUT HOW THINGS ARE GOING IN THE COUNTRY
Question	How happy do you feel about how things are going in the country?
Value Labels	-9. Refused -8. Don’t know 1. Not at all 2. A little 3. Somewhat 4. Very 5. Extremely
Survey Question(s)	EMOTION_EMOTHAPPY
Randomization	order of emotions after TRACK
Response Order	Forward/Reverse order

V201120	PRE: HOW WORRIED R FEELS ABOUT HOW THINGS ARE GOING IN THE COUNTRY
Question	How worried do you feel about how things are going in the country?
Value Labels	-9. Refused 1. Not at all 2. A little 3. Somewhat 4. Very 5. Extremely
Survey Question(s)	EMOTION_EMOTWORRY
Randomization	order of emotions after TRACK
Response Order	Forward/Reverse order

V201121	PRE: HOW PROUD R FEELS ABOUT HOW THINGS ARE GOING IN THE COUNTRY
Question	How proud do you feel about how things are going in the country?
Value Labels	-9. Refused -8. Don’t know 1. Not at all 2. A little 3. Somewhat 4. Very 5. Extremely
Survey Question(s)	EMOTION_EMOTPROUD
Randomization	order of emotions after TRACK
Response Order	Forward/Reverse order

V201122	PRE: HOW IRRITATED R FEELS ABOUT HOW THINGS ARE GOING IN THE COUNTRY
Question	How irritated do you feel about how things are going in the country?
Value Labels	-9. Refused 1. Not at all 2. A little 3. Somewhat 4. Very 5. Extremely
Survey Question(s)	EMOTION_EMOTIRRIT
Randomization	order of emotions after TRACK
Response Order	Forward/Reverse order

V201123	PRE: HOW NERVOUS R FEELS ABOUT HOW THINGS ARE GOING IN THE COUNTRY
Question	How nervous do you feel about how things are going in the country?
Value Labels	-9. Refused 1. Not at all 2. A little 3. Somewhat 4. Very 5. Extremely
Survey Question(s)	EMOTION_EMOTNERV
Randomization	order of emotions after TRACK
Response Order	Forward/Reverse order

V201124	PRE: APPROVAL OF CONGRESS HANDLING ITS JOB
Question	Do you approve or disapprove of the way the U.S. Congress has been handling its job?
Value Labels	-9. Refused -8. Don’t know 1. Approve 2. Disapprove
Survey Question(s)	CONGAPP_CONGJOB

V201125	PRE: HOW MUCH APPROVE/DISAPPROVE CONGRESS HANDLING ITS JOB
Question	Do you [approve/disapprove] strongly or not strongly?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R APPROVES U.S. CONGRESS HANDLING ITS JOB / IF R DISAPPROVES U.S. CONGRESS HANDLING ITS JOB:
Survey Question(s)	CONGAPP_CONGJOBST

V201126x	PRE: SUMMARY: APPROVAL OF CONGRESS HANDLING ITS JOB
Value Labels	-2. DK/RF in V201124 or V201125 1. Approve strongly 2. Approve not strongly 3. Disapprove not strongly 4. Disapprove strongly

V201127	PRE: APPROVE OR DISAPPROVE PRESIDENT HANDLING JOB
Question	Do you approve or disapprove of the way Donald Trump is handlinghis job as President?
Value Labels	-9. Refused -8. Don’t know 1. Approve 2. Disapprove
Survey Question(s)	PRESAPP_APPPRES

V201128	PRE: HOW MUCH APPROVE/DISAPPROVE PRESIDENT HANDLING JOB
Question	Do you [approve/disapprove] strongly or not strongly?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R APPROVES DONALD TRUMP HANDLING JOB AS PRESIDENT / IF R DISAPPROVES DONALD TRUMP HANDLING JOB AS PRESIDENT:
Survey Question(s)	PRESAPP_APPDISSTR

V201129x	PRE: SUMMARY: APPROVE OR DISAPPROVE PRESIDENT HANDLING JOB
Value Labels	-2. DK/RF in V201127 or V201128 1. Approve strongly 2. Approve not strongly 3. Disapprove not strongly 4. Disapprove strongly

V201130	PRE: APPROVE OR DISAPPROVE PRESIDENT HANDLING ECONOMY
Question	Do you approve or disapprove of the way Donald Trump is handling the economy?
Value Labels	-9. Refused -8. Don’t know 1. Approve 2. Disapprove
Survey Question(s)	PRESAPP_ECONPRES

V201131	PRE: HOW MUCH APPROVE/DISAPPROVE PRESIDENT HANDLING ECONOMY
Question	Do you [approve/disapprove] strongly or not strongly?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R APPROVES DONALD TRUMP HANDLING ECONOMY / IF R DISAPPROVES DONALD TRUMP HANDLING ECONOMY:
Survey Question(s)	PRESAPP_ECONPRESST

V201132x	PRE: SUMMARY: APPROVE OR DISAPPROVE PRESIDENT HANDLING ECONOMY
Value Labels	-2. DK/RF in V201130 or V201131 1. Approve strongly 2. Approve not strongly 3. Disapprove not strongly 4. Disapprove strongly

V201133	PRE: APPROVE OR DISAPPROVE PRESIDENT HANDLING FOREIGN RELATIONS
Question	Do you approve or disapprove of the way Donald Trump is handlingrelations with foreign countries?
Value Labels	-9. Refused -8. Don’t know 1. Approve 2. Disapprove
Survey Question(s)	PRESAPP_FRNPRES

V201134	PRE: HOW MUCH APPROVE/DISAPPROVE PRESIDENT HANDLING FOREIGN RELATIONS
Question	Do you [approve/disapprove] strongly or not strongly?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R APPROVES DONALD TRUMP HANDLING FOREIGN RELATIONS / IF R DISAPPROVES DONALD TRUMP HANDLING FOREIGN RELATIONS:
Survey Question(s)	PRESAPP_FRNPRESST

V201135x	PRE: SUMMARY: APPROVE OR DISAPPROVE PRESIDENT HANDLING FOREIGN RELATIONS
Value Labels	-2. DK/RF in V201133 or V201134 1. Approve strongly 2. Approve not strongly 3. Disapprove not strongly 4. Disapprove strongly

V201136	PRE: APPROVE OR DISAPPROVE PRESIDENT HANDLING HEALTH CARE
Question	Do you approve or disapprove of the way Donald Trump is handling health care?
Value Labels	-9. Refused -8. Don’t know 1. Approve 2. Disapprove
Survey Question(s)	PRESAPP_HTHPRES

V201137	PRE: HOW MUCH APPROVE/DISAPPROVE PRESIDENT HANDLING HEALTH CARE
Question	Do you [approve/disapprove] strongly or not strongly?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R APPROVES DONALD TRUMP HANDLING HEALTH CARE / IF R DISAPPROVES DONALD TRUMP HANDLING HEALTH CARE:
Survey Question(s)	PRESAPP_HTHPRESST

V201138x	PRE: SUMMARY: APPROVE OR DISAPPROVE PRESIDENT HANDLING HEALTH CARE
Value Labels	-2. DK/RF in V201136 or V201137 1. Approve strongly 2. Approve not strongly 3. Disapprove not strongly 4. Disapprove strongly

V201139	PRE: APPROVE OR DISSAPROVE PRESIDENT HANDLING IMMIGRATION
Question	Do you approve or disapprove of the way Donald Trump is handling immigration?
Value Labels	-9. Refused -8. Don’t know 1. Approve 2. Disapprove
Survey Question(s)	PRESAPP_IMMIGPRES

V201140	PRE: HOW MUCH APPROVE/DISAPPROVE PRESIDENT HANDLING IMMIGRATION
Question	Do you [approve/disapprove] strongly or not strongly?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R APPROVES DONALD TRUMP HANDLING IMMIGRATION / IF R DISAPPROVES DONALD TRUMP HANDLING IMMIGRATION:
Survey Question(s)	PRESAPP_IMMIGPRESST

V201141x	PRE: SUMMARY: APPROVE OR DISSAPROVE PRESIDENT HANDLING IMMIGRATION
Value Labels	-2. DK/RF in V201139 or V201140 1. Approve strongly 2. Approve not strongly 3. Disapprove not strongly 4. Disapprove strongly

V201142	PRE: APPROVE OR DISAPPROVE PRESIDENT HANDLING COVID-19
Question	Do you approve or disapprove of the way Donald Trump has handled the coronavirus, or COVID-19, pandemic?
Value Labels	-9. Refused -8. Don’t know 1. Approve 2. Disapprove
Survey Question(s)	PRESAPP_COVIDPRES

V201143	PRE: HOW MUCH APPROVE/DISAPPROVE PRESIDENT HANDLING COVID-19
Question	Do you [approve/disapprove] strongly or not strongly?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R APPROVES DONALD TRUMP HANDLING COVID-19 / IF R DISAPPROVES DONALD TRUMP HANDLING COVID-19:
Survey Question(s)	PRESAPP_COVIDPRESST

V201144x	PRE: SUMMARY: APPROVE OR DISAPPROVE PRESIDENT HANDLING COVID-19
Value Labels	-2. DK/RF in V201142 or V201143 1. Approve strongly 2. Approve not strongly 3. Disapprove not strongly 4. Disapprove strongly

V201145	PRE: APPROVE OR DISAPPROVE R’S GOVERNOR HANDLING COVID-19
Question	Do you approve or disapprove of the way [Governor of respondent’s preloaded state] has handled the COVID-19 pandemic?
Value Labels	-9. Refused -8. Don’t know 1. Approve 2. Disapprove
Universe	IF R DOES NOT LIVE IN WASHINGTON DC / IF R LIVES IN WASHINGTON DC / IF R’S STATE IS UNKNOWN:
Survey Question(s)	COVIDAPP_GOVERNOR

V201146	PRE: HOW MUCH APPROVE/DISAPPROVE R’S GOVERNOR HANDLING COVID-19
Question	Do you [approve/disapprove] strongly or not strongly?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R APPROVES GOVERNOR HANDLING COVID-19 / IF R DISAPPROVES GOVERNOR HANDLING COVID-19:
Survey Question(s)	COVIDAPP_GOVERNORSTR

V201147x	PRE: SUMMARY: APPROVE OR DISAPPROVE R’S GOVERNOR HANDLING COVID-19
Value Labels	-2. DK/RF in V201145 or V201146 1. Approve strongly 2. Approve not strongly 3. Disapprove not strongly 4. Disapprove strongly

V201148	PRE: APPROVE OR DISAPPROVE LOCAL GOVERNMENT HANDLING COVID-19
Question	Do you approve or disapprove of the way your local government, for example, municipal and county government, has handled the COVID-19 pandemic?
Value Labels	-9. Refused -8. Don’t know 1. Approve 2. Disapprove
Survey Question(s)	COVIDAPP_LOCALGOV

V201149	PRE: HOW MUCH APPROVE/DISAPPROVE LOCAL GOVERNMENT HANDLING COVID-19
Question	Do you [approve/disapprove] strongly or not strongly?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R APPROVES LOCAL GOVT HANDLING COVID-19 / IF R DISAPPROVES LOCAL GOVT HANDLING COVID-19:
Survey Question(s)	COVIDAPP_LOCALGOVSTR

V201150x	PRE: SUMMARY: APPROVE OR DISAPPROVE LOCAL GOVERNMENT HANDLING COVID-19
Value Labels	-2. DK/RF in V201148 or V201149 1. Approve strongly 2. Approve not strongly 3. Disapprove not strongly 4. Disapprove strongly

INTRO PRE-ELECTION POLITICAL FIGURE THERMOMETERS

I’d like to get your feelings toward some of our political leaders and other people who are in the news these days. I’ll read the name of a person and I’d like you to rate that person using something we call the feeling thermometer.
Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the person. Ratings between 0 degrees and 50 degrees mean that you don’t feel favorable toward the person and that you don’t care too much for that person. You would rate the person at the 50 degree mark if you don’t feel particularly warm or cold toward the person.
If we come to a person whose name you don’t recognize, you don’t need to rate that person. Just tell me and we’ll move on to the next one.

V201151	PRE: FEELING THERMOMETER: JOE BIDEN, DEMOCRATIC PRESIDENTIAL CANDIDATE
Question	How would you rate: Joe Biden
Value Labels	-9. Refused -4. Technical error 998. Don’t know (don’t know where to rate)
Survey Question(s)	THERMPRE_THDPC
Randomization	Order of Presidential cand thermometers (as 1st or 2nd individual thermometers)
Interviewer Instruction	{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? ENTER number 0-100 ENTER ‘998’ for ‘Don’t know where to rate’ ENTER ‘999’ for ‘Don’t recognize’ .}

V201152	PRE: FEELING THERMOMETER: DONALD TRUMP, REPUBLICAN PRESIDENTIAL CANDIDATE
Question	How would you rate: Donald Trump
Value Labels	-9. Refused
Survey Question(s)	THERMPRE_THRPC
Randomization	Order of Presidential cand thermometers (as 1st or 2nd individual thermometers)
Interviewer Instruction	{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? ENTER number 0-100 ENTER ‘998’ for ‘Don’t know where to rate’ ENTER ‘999’ for ‘Don’t recognize’ .}

V201153	PRE: FEELING THERMOMETER: KAMALA HARRIS, DEMOCRATIC VICE-PRESIDENTIAL CANDIDATE
Question	How would you rate: Kamala Harris
Value Labels	-9. Refused -4. Technical error 998. Don’t know (don’t know where to rate 999. Don’t recognize (don’t know who this is)
Survey Question(s)	THERMPRE_THDVPC
Randomization	Order of thermometers for major party vice-presidential cands and Obama (all following the Presidential cand thermometers)
Interviewer Instruction	{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? ENTER number 0-100 ENTER ‘998’ for ‘Don’t know where to rate’ ENTER ‘999’ for ‘Don’t recognize’ .}

V201154	PRE: FEELING THERMOMETER: MIKE PENCE, REPUBLICAN VICE-PRESIDENTIAL CANDIDATE
Question	How would you rate: Mike Pence
Value Labels	-9. Refused -4. Technical error 998. Don’t know (don’t know where to rate 999. Don’t recognize (don’t know who this is)
Survey Question(s)	THERMPRE_THRVPC
Randomization	Order of thermometers for major party vice-presidential cands and Obama (all following the Presidential cand thermometers)
Interviewer Instruction	{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? ENTER number 0-100 ENTER ‘998’ for ‘Don’t know where to rate’ ENTER ‘999’ for ‘Don’t recognize’ .}

V201155	PRE: FEELING THERMOMETER: BARACK OBAMA
Question	How would you rate: Barack Obama
Value Labels	-9. Refused
Survey Question(s)	THERMPRE_THPREVPRES
Randomization	Order of thermometers for major party vice-presidential cands and Obama (all following the Presidential cand thermometers)
Interviewer Instruction	{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? ENTER number 0-100 ENTER ‘998’ for ‘Don’t know where to rate’ ENTER ‘999’ for ‘Don’t recognize’ .}

V201156	PRE: FEELING THERMOMETER: DEMOCRATIC PARTY
Question	How would you rate: the Democratic Party
Value Labels	-9. Refused 998. Don’t know (don’t know where to rate)
Survey Question(s)	THERMPRE_THDPTY
Randomization	Order of major party thermometers after all individual figure thermometers
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 ENTER ‘998’ for ‘Don’t know where to rate’ ENTER ‘999’ for ‘Don’t recognize’ .}

V201157	PRE: FEELING THERMOMETER: REPUBLICAN PARTY
Question	How would you rate: the Republican Party
Value Labels	-9. Refused 998. Don’t know (don’t know where to rate)
Survey Question(s)	THERMPRE_THRPTY
Randomization	Order of major party thermometers after all individual figure thermometers
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 ENTER ‘998’ for ‘Don’t know where to rate’ ENTER ‘999’ for ‘Don’t recognize’ .}

INTRO MAJOR PARTY LIKES-DISLIKES

I’d like to ask you what you think are the good and bad points about the two national parties.

V201158	PRE: IS THERE ANYTHING R LIKES ABOUT DEMOCRATIC PARTY
Question	Is there anything in particular that you like about the Democratic party?
Value Labels	-9. Refused -8. Don’t know 1. Yes 2. No
Survey Question(s)	PTYLIK_LIKDP
Randomization	Order of major parties for the likes-dislikes set of questions.

V201159	PRE: WHAT DOES R LIKE ABOUT DEMOCRATIC PARTY [TEXT]
Question	What is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R SAYS THERE IS SOMETHING THAT R LIKES ABOUT DEMOCRATIC PARTY:
Survey Question(s)	PTYLIK_LWHATDP
Randomization	Order of major parties for the likes-dislikes set of questions.
Interviewer Instruction	{PROBE: ANYTHING ELSE YOU LIKE ABOUT THE DEMOCRATIC PARTY? UNTIL R SAYS NO.}

V201160	PRE: IS THERE ANYTHING R DISLIKES ABOUT DEMOCRATIC PARTY
Question	Is there anything in particular that you don’t like about the Democratic party?
Value Labels	-9. Refused -8. Don’t know 1. Yes 2. No
Survey Question(s)	PTYLIK_DISLDP
Randomization	Order of major parties for the likes-dislikes set of questions.

V201161	PRE: WHAT DOES R DISLIKE ABOUT THE DEMOCRATIC PARTY [TEXT]
Question	What is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R SAYS THERE IS SOMETHING THAT R DISLIKES ABOUT DEMOCRATIC PARTY:
Survey Question(s)	PTYLIK_DWHATDP
Randomization	Order of major parties for the likes-dislikes set of questions.
Interviewer Instruction	{PROBE: ANYTHING ELSE YOU DON’T LIKE ABOUT THE DEMOCRATIC PARTY? UNTIL R SAYS NO.}

V201162	PRE: IS THERE ANYTHING R LIKES ABOUT REPUBLICAN PARTY
Question	Is there anything in particular that you like about the Republican party?
Value Labels	-9. Refused -8. Don’t know 1. Yes 2. No
Survey Question(s)	PTYLIK_LIKRP
Randomization	Order of major parties for the likes-dislikes set of questions.

V201163	PRE: WHAT DOES R LIKE ABOUT REPUBLICAN PARTY [TEXT]
Question	What is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R SAYS THERE IS SOMETHING THAT R LIKES ABOUT REPUBLICAN PARTY:
Survey Question(s)	PTYLIK_LWHATRP
Randomization	Order of major parties for the likes-dislikes set of questions.
Interviewer Instruction	{PROBE: ANYTHING ELSE YOU LIKE ABOUT THE REPUBLICAN PARTY? UNTIL R SAYS NO.}

V201164	PRE: IS THERE ANYTHING R DISLIKES ABOUT REPUBLICAN PARTY
Question	Is there anything in particular that you don’t like about the Republican party?
Value Labels	-9. Refused -8. Don’t know 1. Yes 2. No
Survey Question(s)	PTYLIK_DISLRP
Randomization	Order of major parties for the likes-dislikes set of questions.

V201165	PRE: WHAT DOES R DISLIKE ABOUT THE REPUBLICAN PARTY [TEXT]
Question	What is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R SAYS THERE IS SOMETHING THAT R DISLIKES ABOUT REPUBLICAN PARTY:
Survey Question(s)	PTYLIK_DWHATRP
Randomization	Order of major parties for the likes-dislikes set of questions.
Interviewer Instruction	{PROBE: ANYTHING ELSE YOU DON’T LIKE ABOUT THE REPUBLICAN PARTY? UNTIL R SAYS NO.}

INTRO LIBERAL-CONSERVATIVE SELF-RATING

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.

V201200	PRE: 7PT SCALE LIBERAL-CONSERVATIVE SELF-PLACEMENT
Question	Where would you place yourself on this scale, or haven’t you thought much about this?
Value Labels	-9. Refused -8. Don’t know 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative 99. Haven’t thought much about this
Survey Question(s)	LIBCPRE_LCSELF
Interviewer Instruction	{DO NOT PROBE}

V201201	PRE: IF R HAD TO CHOOSE LIBERAL OR CONSERVATIVE SELF-PLACEMT
Question	If you had to choose, would you consider yourself a liberal or a conservative?
Value Labels	-9. Refused -8. Don’t know -4. Technical error -1. Inapplicable 1. Liberal 2. Conservative 3. Moderate {VOL, video/phone only}
Universe	IF LIBERAL-CONSERVATIVE SELF-PLACEMENT IS MODERATE, DK, OR HAVEN’T THOUGHT:
Survey Question(s)	LIBCPRE_LCCHOOSE

V201202	PRE: 7PT SCALE LIBERAL-CONSERVATIVE: DEMOCRATIC PRESIDENTIAL CANDIDATE
Question	Where would you place Joe Biden on this scale?
Value Labels	-9. Refused -8. Don’t know 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative
Survey Question(s)	LIBCPRE_LCDPC
Randomization	Order of Presidential cand liberal-conservative scale placements
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V201203	PRE: 7PT SCALE LIBERAL-CONSERVATIVE: REPUBLICAN PRESIDENTIAL CANDIDATE
Question	Where would you place Donald Trump on this scale?
Value Labels	-9. Refused -8. Don’t know -4. Technical error 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative
Survey Question(s)	LIBCPRE_LCRPC
Randomization	Order of Presidential cand liberal-conservative scale placements
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V201204	PRE: 7PT SCALE LIBERAL-CONSERVATIVE: DEMOCRATIC HOUSE CANDIDATE
Question	Where would you place [Democratic candidate for respondent’s preloaded U.S. House district] on this scale?
Value Labels	-9. Refused -8. Don’t know -4. Technical error -1. Inapplicable 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative
Universe	IF DEMOCRATIC CANDIDATE IN HOUSE RACE:
Survey Question(s)	LIBCPRE_LIBCHDC
Randomization	Order of House candidate liberal-conservative placements
Interviewer Instruction	{DO NOT PROBE DK}

V201205	PRE: 7PT SCALE LIBERAL-CONSERVATIVE: REPUBLICAN HOUSE CANDIDATE
Question	Where would you place [Republican candidate for respondent’s preloaded U.S. House district] on this scale?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative
Universe	IF REPUBLICAN CANDIDATE IN HOUSE RACE:
Survey Question(s)	LIBCPRE_LIBCHRC
Randomization	Order of House candidate liberal-conservative placements
Interviewer Instruction	{DO NOT PROBE DK}

V201206	PRE: 7PT SCALE LIBERAL-CONSERVATIVE: DEMOCRATIC PARTY
Question	Where would you place the Democratic Party on this scale?
Value Labels	-9. Refused -8. Don’t know 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative
Survey Question(s)	LIBCPRE_LCPTYD
Randomization	Order of party liberal-conservative scale placements
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V201207	PRE: 7PT SCALE LIBERAL-CONSERVATIVE: REPUBLICAN PARTY
Question	Where would you place the Republican Party on this scale?
Value Labels	-9. Refused -8. Don’t know 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative
Survey Question(s)	LIBCPRE_LCPTYR
Randomization	Order of party liberal-conservative scale placements
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

INTRO PRES CAND TRAITS

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.

V201208	PRE: DEMOCRATIC PRESIDENTIAL CANDIDATE TRAIT: STRONG LEADERSHIP
Question	Think about Joe Biden. In your opinion, does the phrase ‘he provides strong leadership’ describe Joe Biden extremely well, very well, moderately well, slightly well, or not well at all?
Value Labels	-9. Refused -8. Don’t know 1. Extremely well 2. Very well 3. Moderately well 4. Slightly well 5. Not well at all
Universe	IF TRAIT IS 1ST TRAIT FOR DEMOCRATIC PRESIDENTIAL CANDIDATE / IF TRAIT IS NOT 1ST TRAIT FOR DEMOCRATIC PRESIDENTIAL CANDIDATE:
Survey Question(s)	CTRAIT_DPCLEAD
Randomization	Order of Presidential cands for sets of traits; order of traits administered for each candidate. Traits should be randomized in the same order for each candidate.
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V201209	PRE: DEMOCRATIC PRESIDENTIAL CANDIDATE TRAIT: REALLY CARES
Question	What about ‘really cares about people like you’? Does this phrase describe Joe Biden extremely well, very well, moderately well, slightly well, or not well at all?
Value Labels	-9. Refused -8. Don’t know 1. Extremely well 2. Very well 3. Moderately well 4. Slightly well 5. Not well at all
Universe	IF TRAIT IS 1ST TRAIT FOR DEMOCRATIC PRESIDENTIAL CANDIDATE / IF TRAIT IS NOT 1ST TRAIT FOR DEMOCRATIC PRESIDENTIAL CANDIDATE:
Survey Question(s)	CTRAIT_DPCCARE
Randomization	Order of Presidential cands for sets of traits; order of traits administered for each candidate. Traits should be randomized in the same order for each candidate.
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V201210	PRE: DEMOCRATIC PRESIDENTIAL CANDIDATE TRAIT: KNOWLEDGEABLE
Question	What about ‘is knowledgeable’? Does this phrase describe Joe Biden extremelywell, very well, moderately well, slightly well, or not well at all?
Value Labels	-9. Refused -8. Don’t know 1. Extremely well 2. Very well 3. Moderately well 4. Slightly well 5. Not well at all
Universe	IF TRAIT IS 1ST TRAIT FOR DEMOCRATIC PRESIDENTIAL CANDIDATE / IF TRAIT IS NOT 1ST TRAIT FOR DEMOCRATIC PRESIDENTIAL CANDIDATE:
Survey Question(s)	CTRAIT_DPCKNOW
Randomization	Order of Presidential cands for sets of traits; order of traits administered for each candidate. Traits should be randomized in the same order for each candidate.
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V201211	PRE: DEMOCRATIC PRESIDENTIAL CANDIDATE TRAIT: HONEST
Question	What about ‘is honest’? Does this phrase describe Joe Biden extremelywell, very well, moderately well, slightly well, or not well at all?
Value Labels	-9. Refused -8. Don’t know 1. Extremely well 2. Very well 3. Moderately well 4. Slightly well 5. Not well at all
Universe	IF TRAIT IS 1ST TRAIT FOR DEMOCRATIC PRESIDENTIAL CANDIDATE / IF TRAIT IS NOT 1ST TRAIT FOR DEMOCRATIC PRESIDENTIAL CANDIDATE:
Survey Question(s)	CTRAIT_DPCHONST
Randomization	Order of Presidential cands for sets of traits; order of traits administered for each candidate. Traits should be randomized in the same order for each candidate.
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V201212	PRE: REPUBLICAN PRESIDENTIAL CANDIDATE TRAIT: STRONG LEADERSHIP
Question	Think about Donald Trump. In your opinion, does the phrase ‘he provides strong leadership’ describe Donald Trump extremely well, very well, moderately well, slightly well, or not well at all?
Value Labels	-9. Refused 1. Extremely well 2. Very well 3. Moderately well 4. Slightly well 5. Not well at all
Universe	IF TRAIT IS 1ST TRAIT FOR REPUBLICAN PRESIDENTIAL CANDIDATE / IF TRAIT IS NOT 1ST TRAIT FOR REPUBLICAN PRESIDENTIAL CANDIDATE:
Survey Question(s)	CTRAIT_RPCLEAD
Randomization	Order of Presidential cands for sets of traits; order of traits administered for each candidate. Traits should be randomized in the same order for each candidate.
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V201213	PRE: REPUBLICAN PRESIDENTIAL CANDIDATE TRAIT: REALLY CARES
Question	What about ‘really cares about people like you’? Does this phrase describe Donald Trump extremelywell, very well, moderately well, slightly well, or not well at all?
Value Labels	-9. Refused 1. Extremely well 2. Very well 3. Moderately well 4. Slightly well 5. Not well at all
Universe	IF TRAIT IS 1ST TRAIT FOR REPUBLICAN PRESIDENTIAL CANDIDATE / IF TRAIT IS NOT 1ST TRAIT FOR REPUBLICAN PRESIDENTIAL CANDIDATE:
Survey Question(s)	CTRAIT_RPCCARE
Randomization	Order of Presidential cands for sets of traits; order of traits administered for each candidate. Traits should be randomized in the same order for each candidate.
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V201214	PRE: REPUBLICAN PRESIDENTIAL CANDIDATE TRAIT: KNOWLEDGEABLE
Question	What about ‘is knowledgeable’? Does this phrase describe Donald Trump extremely well, very well, moderately well, slightly well, or not well at all?
Value Labels	-9. Refused -8. Don’t know 1. Extremely well 2. Very well 3. Moderately well 4. Slightly well 5. Not well at all
Universe	IF TRAIT IS 1ST TRAIT FOR REPUBLICAN PRESIDENTIAL CANDIDATE / IF TRAIT IS NOT 1ST TRAIT FOR REPUBLICAN PRESIDENTIAL CANDIDATE:
Survey Question(s)	CTRAIT_RPCKNOW
Randomization	Order of Presidential cands for sets of traits; order of traits administered for each candidate. Traits should be randomized in the same order for each candidate.
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V201215	PRE: REPUBLICAN PRESIDENTIAL CANDIDATE TRAIT: HONEST
Question	What about ‘is honest’? Does this phrase describe Donald Trump extremely well, very well, moderately well, slightly well, or not well at all?
Value Labels	-9. Refused -8. Don’t know 1. Extremely well 2. Very well 3. Moderately well 4. Slightly well 5. Not well at all
Universe	IF TRAIT IS 1ST TRAIT FOR REPUBLICAN PRESIDENTIAL CANDIDATE / IF TRAIT IS NOT 1ST TRAIT FOR REPUBLICAN PRESIDENTIAL CANDIDATE:
Survey Question(s)	CTRAIT_RPCHONST
Randomization	Order of Presidential cands for sets of traits; order of traits administered for each candidate. Traits should be randomized in the same order for each candidate.
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V201216	PRE: HOW MUCH R CARES WHO WINS PRESIDENTIAL ELECTION [REVISED]
Question	How much do you care who wins the presidential election this fall?
Value Labels	-9. Refused -8. Don’t know 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. Not at all
Survey Question(s)	PRESWIN_CAREWIN
Response Order	Forward/Reverse order

V201217	PRE: WHO DOES R THINK WILL BE ELECTED PRESIDENT
Question	Who do you think will be elected President in November?
Value Labels	-9. Refused -8. Don’t know 1. Joe Biden 2. Donald Trump 5. Other {SPECIFY}
Survey Question(s)	PRESWIN_PRESPRED

V201217z	PRE: WHO DOES R THINK WILL BE ELECTED PRESIDENT - OTHER {SPECIFY}
Question	Who do you think will be elected President in November?
Value Labels	-2. Open-end responses available in separate file
Survey Question(s)	PRESWIN_PRESPRED

V201218	PRE: WILL PRESIDENTIAL RACE BE CLOSE OR WILL (WINNER) WIN BY A LOT
Question	Do you think the Presidential race will be close or will [Joe Biden / Donald Trump / one candidate] win by quite a bit?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Will be close 2. Win by quite a bit
Universe	IF R THINKS DEMOCRATIC PRES CANDIDATE WILL WIN ELECTION / IF R THINKS REPUBLICAN PRES CANDIDATE WILL WIN ELECTION / IF R THINKS OTHER PRES CAND WILL WIN ELECTION / IF R DOESN’T KNOW WHO WILL WIN PRESIDENTIAL ELECTION:
Survey Question(s)	PRESWIN_PRCLOSE

V201219	PRE: WHICH PRESIDENTIAL CANDIDATE WILL CARRY STATE
Question	What about here in [Respondent’s preloaded state]? Which candidate for President do you think will carry this state?
Value Labels	-9. Refused -8. Don’t know 1. Joe Biden 2. Donald Trump 5. Other {SPECIFY}
Survey Question(s)	PRESWIN_PRWINST
Interviewer Instruction	{IF NECESSARY: Which candidate will win in this state?}

V201219z	PRE: WHICH PRESIDENTIAL CANDIDATE WILL CARRY STATE - OTHER {SPECIFY}
Question	What about here in [Respondent’s preloaded state]? Which candidate for President do you think will carry this state?
Value Labels	-2. Open-end responses available in separate file
Survey Question(s)	PRESWIN_PRWINST
Interviewer Instruction	{IF NECESSARY: Which candidate will win in this state?}

V201220	PRE: WILL PRESIDENTIAL RACE BE CLOSE IN STATE
Question	Do you think the Presidential race will be close here in [Respondent’s preloaded state]or will [Joe Biden / Donald Trump / one candidate] win by quite a bit?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Will be close 2. Win by quite a bit
Universe	IF R THINKS DEMOCRATIC PRES CANDIDATE WILL WIN ELECTION / IF R THINKS REPUBLICAN PRES CANDIDATE WILL WIN ELECTION / IF R THINKS OTHER PRES CAND WILL WIN ELECTION / IF R DOESN’T KNOW WHO WILL WIN PRESIDENTIAL ELECTION:
Survey Question(s)	PRESWIN_PRCLOSEST

V201221	PRE: VERSION 1A DOES R CONSIDER VOTING A DUTY OR CHOICE
Question	Different people feel differently about voting. For some, voting is a duty - they feel they should vote in every election no matter how they feel about the candidates and parties. For others voting is a choice - they feel free to vote or not to vote, depending on how they feel about the candidates and parties. For you personally, is voting mainly a duty, mainly a choice, or neither a duty nor a choice?
Value Labels	-9. Refused -1. Inapplicable 1. Mainly a duty 2. Mainly a choice 3. Neither a duty nor a choice
Universe	IF R SELECTED FOR VERSION 1A OF VERSION 1A / VERSION 1B SPLICE:
Survey Question(s)	PRESWIN_DUTYCHOICE
Randomization	Selection for question administered, PRESWIN_DUTYCHOICE or PRESWIN_CHOICEDUTY(Rand var randint_dutych: 1=PRESWIN_DUTYCHOICE, 2=PRESWIN_CHOICEDUTY)

V201222	PRE: VERSION 1B DOES R CONSIDER VOTING A CHOICE OR DUTY
Question	Different people feel differently about voting. For some, voting is a choice - they feel free to vote or not to vote, depending on how they feel about the candidates and parties. For others voting is a duty - they feel they should vote in every election no matter how they feel about the candidates and parties. For you personally, is voting mainly a choice, mainly a duty, or neither a choice nor a duty?
Value Labels	-9. Refused -1. Inapplicable 1. Mainly a choice 2. Mainly a duty 3. Neither a duty nor a choice
Universe	IF R SELECTED FOR VERSION 1B OF VERSION 1A / VERSION 1B SPLICE:
Survey Question(s)	PRESWIN_CHOICEDUTY
Randomization	Selection for question administered, PRESWIN_DUTYCHOICE or PRESWIN_CHOICEDUTY (Rand var randint_dutych: 1=PRESWIN_DUTYCHOICE, 2=PRESWIN_CHOICEDUTY)

V201223	PRE: HOW STRONGLY DOES R FEEL THAT VOTING IS A DUTY
Question	How strongly do you feel that voting is a duty?
Value Labels	-9. Refused -1. Inapplicable 1. Very strongly 2. Moderately strongly 3. A little strongly
Universe	IF R CONSIDERS VOTING A DUTY:
Survey Question(s)	PRESWIN_DUTYST
Response Order	Forward/Reverse order

V201224	PRE: HOW STRONGLY DOES R FEEL THAT VOTING IS A CHOICE
Question	How strongly do you feel that voting is a choice?
Value Labels	-9. Refused -1. Inapplicable 1. Very strongly 2. Moderately strongly 3. A little strongly
Universe	IF R CONSIDERS VOTING A CHOICE:
Survey Question(s)	PRESWIN_CHOICEST
Response Order	Forward/Reverse order

V201225x	PRE: SUMMARY: VOTING AS DUTY OR CHOICE
Value Labels	-2. DK/RF in V201221, V201222, V201223, or V201224 1. Very strongly a duty 2. Moderately strongly a duty 3. A little strongly a duty 4. Neither a duty nor a choice 5. A little strongly a choice 6. Moderately strongly a choice 7. Very strongly a choice

V201226	PRE: SPLIT-TICKET VOTING
Question	Thinking about the 2020 general election, if your ballot has an option to vote for a straight-party ticket, that is, a single mark would allow you to vote for all of the candidates from a single party, would you most likely vote straight [Democrat / Republican], vote straight [Republican / Democrat], split your ballot between Democrats and Republicans depending on the office and the candidates, or something else?
Value Labels	-9. Refused -8. Don’t know 1. Vote straight Democrat 2. Vote straight Republican 3. Split my ballot between Democrats and Republicans, depending on the office and the candidates 4. Something else
Survey Question(s)	DIVGOV_SPLITTICKET
Randomization	RANDOM ORDER DEMOCRAT / REPUBLICAN FIRST
Response Order	Rand exc last

V201227	PRE: PARTY CONTROL OR SPLIT GOVERNMENT
Question	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?
Value Labels	-9. Refused -8. Don’t know 1. Better when one party controls both 2. Better when control is split 3. It doesn’t matter
Survey Question(s)	DIVGOV_SPLITGOV

V201228	PRE: PARTY ID: DOES R THINK OF SELF AS DEMOCRAT, REPUBLICAN, OR INDEPENDENT
Question	Generally speaking, do you usually think of yourself as [a Democrat, a Republican / a Republican, a Democrat], an independent, or what?
Value Labels	-9. Refused -8. Don’t know -4. Technical error 0. No preference {VOL - video/phone only} 1. Democrat 2. Republican 3. Independent 5. Other party {SPECIFY}
Survey Question(s)	PTYID_RPTYID
Randomization	Order of parties in question text and in response options 1 and 2 (randomized same, do not use ballotcolor)
Response Order	Randomize 2 major parties

V201228z	PRE: PARTY ID: DOES R THINK OF SELF AS DEM, REP, OR IND - OTHER {SPECIFY} [TEXT]
Question	Generally speaking, do you usually think of yourself as [a Democrat, a Republican / a Republican, a Democrat], an independent, or what?
Value Labels	-2. Open-end responses available in separate file
Survey Question(s)	PTYID_RPTYID
Randomization	Order of parties in question text and in response options 1 and 2 (randomized same, do not use ballotcolor)
Response Order	Randomize 2 major parties

V201229	PRE: PARTY IDENTIFICATION STRONG - DEMOCRAT REPUBLICAN
Question	Would you call yourself a strong [Democrat / Republican] or a not very strong [Democrat / Republican]?
Value Labels	-9. Refused -1. Inapplicable 1. Strong 2. Not very strong
Universe	IF R CONSIDERS SELF A DEMOCRAT: / IF R CONSIDERS SELF A REPUBLICAN :
Survey Question(s)	PTYID_STRPTYID

V201230	PRE: NO PARTY IDENTIFICATION - CLOSER TO DEMOCRATIC PARTY OR REPUBLICAN PARTY
Question	Do you think of yourself as closer to the Republican Party or to the Democratic Party?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Closer to Republican 2. Neither {VOL in video and phone} 3. Closer to Democratic
Universe	IF R’S PARTY IDENTIFICATION IS INDEPENDENT, NO PREFERENCE, OTHER, DK:
Survey Question(s)	PTYID_LEANPTY

V201231x	PRE: SUMMARY: PARTY ID
Value Labels	-9. Refused -8. Don’t know 1. Strong Democrat 2. Not very strong Democrat 3. Independent-Democrat 4. Independent 5. Independent-Republican 6. Not very strong Republican 7. Strong Republican
Survey Question(s)	PTYID_RPTYID, PTYID_STRPTYID, PTYID_LEANPTY

V201232	PRE: PARTY IDENTITY IMPORTANCE
Question	How important is being [a Democrat/a Republican/an Independent] to your identity?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Universe	IF R CONSIDERS SELF A DEMOCRAT / IF R CONSIDERS SELF A REPUBLICAN / IF R CONSIDERS SELF AN INDEPENDENT:
Survey Question(s)	PTYID_PTYIDIMP
Response Order	Forward/Reverse order

V201233	PRE: HOW OFTEN TRUST GOVERNMENT IN WASHINGTON TO DO WHAT IS RIGHT [REVISED]
Question	How often can you trust the federal government in Washington to do what is right?
Value Labels	-9. Refused -8. Don’t know 1. Always 2. Most of the time 3. About half the time 4. Some of the time 5. Never
Survey Question(s)	TRUSTGOV_TRUSTGREV
Response Order	Forward/Reverse order

V201234	PRE: GOVERNMENT RUN BY A FEW BIG INTERESTS OR FOR BENEFIT OF ALL
Question	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?
Value Labels	-9. Refused -8. Don’t know 1. Run by a few big interests 2. For the benefit of all the people
Survey Question(s)	TRUSTGOV_BIGINTRST

V201235	PRE: DOES GOVERNMENT WASTE MUCH TAX MONEY
Question	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?
Value Labels	-9. Refused -8. Don’t know 1. Waste a lot 2. Waste some 3. Don’t waste very much
Survey Question(s)	TRUSTGOV_WASTE
Response Order	Forward/Reverse order

V201236	PRE: HOW MANY IN GOVERNMENT ARE CORRUPT
Question	How many of the people running the government are corrupt?
Value Labels	-9. Refused -8. Don’t know 1. All 2. Most 3. About half 4. A few 5. None
Survey Question(s)	TRUSTGOV_CORRPT
Response Order	Forward/Reverse order

V201237	PRE: HOW OFTEN CAN PEOPLE BE TRUSTED
Question	Generally speaking, how often can you trust other people?
Value Labels	-9. Refused -8. Don’t know 1. Always 2. Most of the time 3. About half the time 4. Some of the time 5. Never
Survey Question(s)	TRUST_SOCTRUST
Response Order	Forward/Reverse order

V201238	PRE: ELECTIONS MAKE GOVERNMENT PAY ATTENTION
Question	How much do you feel that having elections makes the government pay attention to what the people think?
Value Labels	-9. Refused -8. Don’t know 1. A good deal 2. Some 3. Not much
Survey Question(s)	RESPONS_ELECTCARE
Response Order	Forward/Reverse order

V201239	PRE: WHICH PARTY BETTER: HANDLING NATIONS ECONOMY
Question	Which party do you think would do a better job of handling the nation’s economy?
Value Labels	-9. Refused -8. Don’t know 1. Democrats would do a much better job 2. Democrats would do a somewhat better job 3. Not much difference between them 4. Republicans would do a somewhat better job 5. Republicans would do a much better job
Survey Question(s)	PTYPERF_PTYECON
Response Order	Forward/Reverse order
Interviewer Instruction	{IF ‘DK’ IS VOLUNTEERED, DO NOT PROBE}

V201240	PRE: WHICH PARTY BETTER: HANDLING HEALTH CARE
Question	Which party do you think would do a better job of handling health care?
Value Labels	-9. Refused -8. Don’t know 1. Democrats would do a much better job 2. Democrats would do a somewhat better job 3. Not much difference between them 4. Republicans would do a somewhat better job 5. Republicans would do a much better job
Survey Question(s)	PTYPERF_PTYHLTH
Response Order	Forward/Reverse order
Interviewer Instruction	{IF ‘DK’ IS VOLUNTEERED, DO NOT PROBE}

V201241	PRE: WHICH PARTY BETTER: HANDLING IMMIGRATION
Question	Which party do you think would do a better job of handling immigration?
Value Labels	-9. Refused -8. Don’t know 1. Democrats would do a much better job 2. Democrats would do a somewhat better job 3. Not much difference between them 4. Republicans would do a somewhat better job 5. Republicans would do a much better job
Survey Question(s)	PTYPERF_PTYIMMIG
Response Order	Forward/Reverse order
Interviewer Instruction	{IF ‘DK’ IS VOLUNTEERED, DO NOT PROBE}

V201242	PRE: WHICH PARTY BETTER: HANDLING TAXES
Question	Which party do you think would do a better job of handling taxes?
Value Labels	-9. Refused -8. Don’t know 1. Democrats would do a much better job 2. Democrats would do a somewhat better job 3. Not much difference between them 4. Republicans would do a somewhat better job 5. Republicans would do a much better job
Survey Question(s)	PTYPERF_PTYTAX
Response Order	Forward/Reverse order
Interviewer Instruction	{IF ‘DK’ IS VOLUNTEERED, DO NOT PROBE}

V201243	PRE: WHICH PARTY BETTER: HANDLING ENVIRONMENT
Question	Which party do you think would do a better job of handling the environment?
Value Labels	-9. Refused -8. Don’t know 1. Democrats would do a much better job 2. Democrats would do a somewhat better job 3. Not much difference between them 4. Republicans would do a somewhat better job 5. Republicans would do a much better job
Survey Question(s)	PTYPERF_PTYENV
Response Order	Forward/Reverse order
Interviewer Instruction	{IF ‘DK’ IS VOLUNTEERED, DO NOT PROBE}

V201244	PRE: WHICH PARTY BETTER: HANDLING COVID-19
Question	Which party do you think would do a better job of handling the COVID-19 pandemic?
Value Labels	-9. Refused -8. Don’t know 1. Democrats would do a much better job 2. Democrats would do a somewhat better job 3. Not much difference between them 4. Republicans would do a somewhat better job 5. Republicans would do a much better job
Survey Question(s)	PTYPERF_PTYCOVID
Response Order	Forward/Reverse order
Interviewer Instruction	{IF ‘DK’ IS VOLUNTEERED, DO NOT PROBE}

INTRO SERVICES-SPENDING ISSUE

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.

V201246	PRE: 7PT SCALE SPENDING & SERVICES: SELF-PLACEMENT
Question	Where would you place yourself on this scale, or haven’t you thought much about this?
Value Labels	-9. Refused 1. Government should provide many fewer services 2. 3. 4. 5. 6. 7. Government should provide many more services 99. Haven’t thought much about this
Survey Question(s)	SPSRVPR_SSSELF

V201247	PRE: 7PT SCALE SPENDING & SERVICES: DEMOCRATIC PRESIDENTIAL CANDIDATE
Question	Where would you place Joe Biden on this issue?
Value Labels	-9. Refused -8. Don’t know 1. Government should provide many fewer services 2. 3. 4. 5. 6. 7. Government should provide many more services
Survey Question(s)	SPSRVPR_SSDPC
Randomization	Order of Presidential cand services-spending scale placements
Interviewer Instruction	{DO NOT PROBE DK}

V201248	PRE: 7PT SCALE SPENDING & SERVICES: REPUBLICAN PRESIDENTIAL CANDIDATE
Question	Where would you place Donald Trump on this issue?
Value Labels	-9. Refused -8. Don’t know 1. Government should provide many fewer services 2. 3. 4. 5. 6. 7. Government should provide many more services
Survey Question(s)	SPSRVPR_SSRPC
Randomization	Order of Presidential cand services-spending scale placements
Interviewer Instruction	{DO NOT PROBE DK}

INTRO DEFENSE SPENDING ISSUE

Some people believe that we should spend much less money for defense. Suppose these people are at one end of a scale, at point 1.
Others feel that defense spending should be greatly increased. 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.

V201249	PRE: 7PT SCALE DEFENSE SPENDING: SELF-PLACEMENT
Question	Where would you place yourself on this scale, or haven’t you thought much about this?
Value Labels	-9. Refused -8. Don’t know 1. Greatly decrease defense spending 2. 3. 4. 5. 6. 7. Greatly increase defense spending 99. Haven’t thought much about this
Survey Question(s)	DEFSPPR_DEFSPSELF

V201250	PRE: 7PT SCALE DEFENSE SPENDING: DEMOCRATIC PRESIDENTIAL CANDIDATE
Question	Where would you place Joe Biden on this issue?
Value Labels	-9. Refused -8. Don’t know 1. Greatly decrease defense spending 2. 3. 4. 5. 6. 7. Greatly increase defense spending
Survey Question(s)	DEFSPPR_DEFSPDPC
Randomization	Order of Presidential cand defense spending scale placements
Interviewer Instruction	{DO NOT PROBE DK}

V201251	PRE: 7PT SCALE DEFENSE SPENDING: REPUBLICAN PRESIDENTIAL CANDIDATE
Question	Where would you place Donald Trump on this issue?
Value Labels	-9. Refused -8. Don’t know 1. Greatly decrease defense spending 2. 3. 4. 5. 6. 7. Greatly increase defense spending
Survey Question(s)	DEFSPPR_DSPRERPC
Randomization	Order of Presidential cand defense spending scale placements
Interviewer Instruction	{DO NOT PROBE DK}

INTRO HEALTH INSURANCE ISSUE

There is much concern about the rapid rise in medical and hospital costs. Some people feel there should be a government insurance plan which would cover all medical and hospital expenses for everyone. Suppose these people are at one end of a scale, at point 1.
Others feel that all medical expenses should be paid by individuals through private insurance plans like Blue Cross or other company paid plans. 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.

V201252	PRE: 7PT SCALE GOV-PRIVATE MEDICAL INSURANCE SCALE: SELF-PLACEMENT
Question	Where would you place yourself on this scale, or haven’t you thought much about this?
Value Labels	-9. Refused -8. Don’t know 1. Government insurance plan 2. 3. 4. 5. 6. 7. Private insurance plan 99. Haven’t thought much about this
Survey Question(s)	INSPRE_INSSELF

V201253	PRE: 7PT SCALE GOV-PRIVATE MEDICAL INSURANCE SCALE: DEM PRESIDENTIAL CANDIDATE
Question	Where would you place Joe Biden on this issue?
Value Labels	-9. Refused -8. Don’t know 1. Government insurance plan 2. 3. 4. 5. 6. 7. Private insurance plan
Survey Question(s)	INSPRE_INSDPC
Randomization	Order of Presidential cand govt-private insurance scale placements
Interviewer Instruction	{DO NOT PROBE DK}

V201254	PRE: 7PT SCALE GOV-PRIVATE MEDICAL INSURANCE SCALE: REP PRESIDENTIAL CANDIDATE
Question	Where would you place Donald Trump on this issue?
Value Labels	-9. Refused -8. Don’t know 1. Government insurance plan 2. 3. 4. 5. 6. 7. Private insurance plan
Survey Question(s)	INSPRE_INSRPC
Randomization	Order of Presidential cand govt-private insurance scale placements
Interviewer Instruction	{DO NOT PROBE DK}

INTRO JOBS-STD LIVING ISSUE

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.

V201255	PRE: 7PT SCALE GUARANTEED JOB-INCOME SCALE: SELF-PLACEMENT
Question	Where would you place yourself on this scale, or haven’t you thought much about this?
Value Labels	-9. Refused -8. Don’t know 1. Government should see to jobs and standard of living 2. 3. 4. 5. 6. 7. Government should let each person get ahead on own 99. Haven’t thought much about this
Survey Question(s)	GUARPR_GUARSELF

V201256	PRE: 7PT SCALE GUARANTEED JOB-INCOME SCALE: DEM PRESIDENTIAL CANDIDATE
Question	Where would you place Joe Biden on this issue?
Value Labels	-9. Refused -8. Don’t know 1. Government should see to jobs and standard of living 2. 3. 4. 5. 6. 7. Government should let each person get ahead on own
Survey Question(s)	GUARPR_GUARDPC
Randomization	Order of Presidential cand guaranteed job scale placements
Interviewer Instruction	{DO NOT PROBE DK}

V201257	PRE: 7PT SCALE GUARANTEED JOB-INCOME SCALE: REP PRESIDENTIAL CANDIDATE
Question	Where would you place Donald Trump on this issue?
Value Labels	-9. Refused -8. Don’t know 1. Government should see to jobs and standard of living 2. 3. 4. 5. 6. 7. Government should let each person get ahead on own
Survey Question(s)	GUARPR_GUARRPC
Randomization	Order of Presidential cand guaranteed job scale placements
Interviewer Instruction	{DO NOT PROBE DK}

INTRO AID TO BLACKS 7PT SCALE

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.

V201258	PRE: 7PT SCALE GOV ASSISTANCE TO BLACKS SCALE: SELF-PLACEMENT
Question	Where would you place yourself on this scale, or haven’t you thought much about this?
Value Labels	-9. Refused -8. Don’t know 1. Government should help blacks 2. 3. 4. 5. 6. 7. Blacks should help themselves 99. Haven’t thought much about this
Survey Question(s)	AIDBPR_AIDBSELF

V201259	PRE: 7PT SCALE GOV ASSISTANCE TO BLACKS SCALE: DEM PRESIDENTIAL CANDIDATE
Question	Where would you place Joe Biden on this issue?
Value Labels	-9. Refused -8. Don’t know 1. Government should help blacks 2. 3. 4. 5. 6. 7. Blacks should help themselves
Survey Question(s)	AIDBPR_AIDBDPC
Randomization	Order of Presidential cand aid to blacks scale placements
Interviewer Instruction	{DO NOT PROBE DK}

V201260	PRE: 7PT SCALE GOV ASSISTANCE TO BLACKS SCALE: REP PRESIDENTIAL CANDIDATE
Question	Where would you place Donald Trump on this issue?
Value Labels	-9. Refused -8. Don’t know 1. Government should help blacks 2. 3. 4. 5. 6. 7. Blacks should help themselves
Survey Question(s)	AIDBPR_AIDBRPC
Randomization	Order of Presidential cand aid to blacks scale placements
Interviewer Instruction	{DO NOT PROBE DK}

INTRO: Envionment-business tradeoff

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 regulations to protect the environment are already too much of a burden on business. 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.

V201262	PRE: 7PT SCALE ENVIRONMENT-BUSINESS TRADEOFF: SELF-PLACEMENT
Question	Where would you place yourself on this scale, or haven’t you thought much about this?
Value Labels	-9. Refused -8. Don’t know 1. Tougher regulations on business needed to protect environment 2. 3. 4. 5. 6. 7. Regulations to protect environment already too much a burden on business 99. Haven’t thought much about this
Survey Question(s)	ENVBUS_ENVBUSSELF

V201263	PRE: 7PT SCALE ENVIRONMENT-BUSINESS TRADEOFF: DEM PRESIDENTIAL CANDIDATE
Question	Where would you place Joe Biden on this scale?
Value Labels	-9. Refused -8. Don’t know 1. Tougher regulations on business needed to protect environment 2. 3. 4. 5. 6. 7. Regulations to protect environment already too much a burden on business
Survey Question(s)	ENVBUS_ENVBUSDPC
Randomization	Order of Presidential cand environment-jobs scale placements
Interviewer Instruction	{DO NOT PROBE DK}

V201264	PRE: 7PT SCALE ENVIRONMENT-BUSINESS TRADEOFF: REP PRESIDENTIAL CANDIDATE
Question	Where would you place Donald Trump on this scale?
Value Labels	-9. Refused -8. Don’t know 1. Tougher regulations on business needed to protect environment 2. 3. 4. 5. 6. 7. Regulations to protect environment already too much a burden on business
Survey Question(s)	ENVBUS_ENVBUSRPC
Randomization	Order of Presidential cand environment-jobs scale placements
Interviewer Instruction	{DO NOT PROBE DK}

INTRO FEDERAL SPENDING ON PROGRAMS

Next I am going to read you a list of federal programs. For each one, I would like you to tell me whether you would like to see spending increased, decreased, or kept the same.
The first program is:

V201300	PRE: FEDERAL BUDGET SPENDING: SOCIAL SECURITY
Question	What about Social Security? Should federal spending on Social Security be increased, decreased, or kept the same?
Value Labels	-9. Refused -8. Don’t know 1. Increased 2. Decreased 3. Kept the same
Survey Question(s)	FEDSPEND_FSSS
Randomization	Randomize order of federal spending items

V201301	PRE: FEDERAL BUDGET SPENDING: SOCIAL SECURITY (STRENGTH)
Question	Should it be [increased / decreased] a lot or a little?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. A lot 2. A little
Universe	IF R THINKS SPENDING ON SOCIAL SECURITY SHOULD BE INCREASED / IF R THINKS SPENDING ON SOCIAL SECURITY SHOULD BE DECREASED:
Survey Question(s)	FEDSPEND_FSSSSTR

V201302x	PRE: SUMMARY: FEDERAL BUDGET SPENDING: SOCIAL SECURITY
Value Labels	-2. DK/RF in V201300 or V201301 1. Increased a lot 2. Increased a little 3. Kept the same 4. Decreased a little 5. Decreasaed a lot

V201303	PRE: FEDERAL BUDGET SPENDING: PUBLIC SCHOOLS
Question	What about public schools? Should federal spending on public schools be increased, decreased, or kept the same?
Value Labels	-9. Refused -8. Don’t know 1. Increased 2. Decreased 3. Kept the same
Survey Question(s)	FEDSPEND_FSPUBS
Randomization	Randomize order of federal spending items

V201304	PRE: FEDERAL BUDGET SPENDING: PUBLIC SCHOOLS (STRENGTH)
Question	Should it be [increased / decreased] a lot or a little?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. A lot 2. A little
Universe	IF R THINKS SPENDING ON PUBLIC SCHOOLS SHOULD BE INCREASED / IF R THINKS SPENDING ON PUBLIC SCHOOLS SHOULD BE DECREASED:
Survey Question(s)	FEDSPEND_FSPUBSSTR

V201305x	PRE: SUMMARY: FEDERAL BUDGET SPENDING: PUBLIC SCHOOLS
Value Labels	-2. DK/RF in V201303 or V201304 1. Increased a lot 2. Increased a little 3. Kept the same 4. Decreased a little 5. Decreasaed a lot

V201306	PRE: FEDERAL BUDGET SPENDING: TIGHTENING BORDER SECURITY
Question	What about tightening border security to prevent illegal immigration?Should federal spending on tightening border security to prevent illegal immigration be increased, decreased, or kept the same?
Value Labels	-9. Refused -8. Don’t know 1. Increased 2. Decreased 3. Kept the same
Survey Question(s)	FEDSPEND_FSBRDR
Randomization	Randomize order of federal spending items

V201307	PRE: FEDERAL BUDGET SPENDING: TIGHTENING BORDER SECURITY (STRENGTH)
Question	Should it be [increased / decreased] a lot or a little?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. A lot 2. A little
Universe	IF R THINKS SPENDING ON BORDER SECURITY SHOULD BE INCREASED / IF R THINKS SPENDING ON BORDER SECURITY SHOULD BE DECREASED:
Survey Question(s)	FEDSPEND_FSBRDRSTR

V201308x	PRE: SUMMARY: FEDERAL BUDGET SPENDING: TIGHTENING BORDER SECURITY
Value Labels	-2. DK/RF in V201306 or V201307 1. Increased a lot 2. Increased a little 3. Kept the same 4. Decreased a little 5. Decreasaed a lot

V201309	PRE: FEDERAL BUDGET SPENDING: DEALING WITH CRIME
Question	What about dealing with crime? Should federal spending on dealing with crime be increased, decreased, or kept the same?
Value Labels	-9. Refused -8. Don’t know 1. Increased 2. Decreased 3. Kept the same
Survey Question(s)	FEDSPEND_FSCRM
Randomization	Randomize order of federal spending items

V201310	PRE: FEDERAL BUDGET SPENDING: DEALING WITH CRIME (STRENGTH)
Question	Should it be [increased / decreased] a lot or a little?
Value Labels	-9. Refused -1. Inapplicable 1. A lot 2. A little
Universe	IF R THINKS SPENDING ON DEALING WITH CRIME SHOULD BE INCREASED / IF R THINKS SPENDING ON DEALING WITH CRIME SHOULD BE DECREASED:
Survey Question(s)	FEDSPEND_FSCRMSTR

V201311x	PRE: SUMMARY: FEDERAL BUDGET SPENDING: DEALING WITH CRIME
Value Labels	-2. DK/RF in V201309 or V201310 1. Increased a lot 2. Increased a little 3. Kept the same 4. Decreased a little 5. Decreasaed a lot

V201312	PRE: FEDERAL BUDGET SPENDING: WELFARE PROGRAMS
Question	What about welfare programs? Should federal spending on welfare programs be increased, decreased, or kept the same?
Value Labels	-9. Refused -8. Don’t know 1. Increased 2. Decreased 3. Kept the same
Survey Question(s)	FEDSPEND_FSWELF
Randomization	Randomize order of federal spending items

V201313	PRE: FEDERAL BUDGET SPENDING: WELFARE PROGRAMS (STRENGTH)
Question	Should it be [increased / decreased] a lot or a little?
Value Labels	-9. Refused -1. Inapplicable 1. A lot 2. A little
Universe	IF R THINKS SPENDING ON WELFARE PROGRAMS SHOULD BE INCREASED / IF R THINKS SPENDING ON WELFARE PROGRAMS SHOULD BE DECREASED:
Survey Question(s)	FEDSPEND_FSWELFSTR

V201314x	PRE: SUMMARY: FEDERAL BUDGET SPENDING: WELFARE PROGRAMS
Value Labels	-2. DK/RF in V201312 or V201313 1. Increased a lot 2. Increased a little 3. Kept the same 4. Decreased a little 5. Decreasaed a lot

V201315	PRE: FEDERAL BUDGET SPENDING: BUILDING AND REPAIRING HIGHWAYS
Question	What about building and repairing highways? Should federal spending on building and repairing highways be increased, decreased, or kept the same?
Value Labels	-9. Refused -8. Don’t know 1. Increased 2. Decreased 3. Kept the same
Survey Question(s)	FEDSPEND_FSHIGH
Randomization	Randomize order of federal spending items

V201316	PRE: FEDERAL BUDGET SPENDING: BUILDING AND REPAIRING HIGHWAYS (STRENGTH)
Question	Should it be [increased / decreased] a lot or a little?
Value Labels	-9. Refused -1. Inapplicable 1. A lot 2. A little
Universe	IF R THINKS SPENDING ON HIGHWAYS SHOULD BE INCREASED / IF R THINKS SPENDING ON HIGHWAYS SHOULD BE DECREASED:
Survey Question(s)	FEDSPEND_FSHIGHSTR

V201317x	PRE: SUMMARY: FEDERAL BUDGET SPENDING: BUILDING AND REPAIRING HIGHWAYS
Value Labels	-2. DK/RF in V201315 or V201316 1. Increased a lot 2. Increased a little 3. Kept the same 4. Decreased a little 5. Decreasaed a lot

V201318	PRE: FEDERAL BUDGET SPENDING: AID TO THE POOR
Question	What about aid to the poor? Should federal spending on aid to the poor be increased, decreased, or kept the same?
Value Labels	-9. Refused -8. Don’t know 1. Increased 2. Decreased 3. Kept the same
Survey Question(s)	FEDSPEND_FSPR
Randomization	Randomize order of federal spending items

V201319	PRE: FEDERAL BUDGET SPENDING: AID TO THE POOR (STRENGTH)
Question	Should it be [increased / decreased] a lot or a little?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. A lot 2. A little
Universe	IF R THINKS SPENDING ON AID TO THE POOR SHOULD BE INCREASED / IF R THINKS SPENDING ON AID TO THE POOR SHOULD BE DECREASED:
Survey Question(s)	FEDSPEND_FSPRSTR

V201320x	PRE: SUMMARY: FEDERAL BUDGET SPENDING: AID TO THE POOR
Value Labels	-2. DK/RF in V201318 or V201319 1. Increased a lot 2. Increased a little 3. Kept the same 4. Decreased a little 5. Decreasaed a lot

V201321	PRE: FEDERAL BUDGET SPENDING: PROTECTING THE ENVIRONMENT
Question	What about protecting the environment? Should federal spending on protecting the environment be increased, decreased, or kept the same?
Value Labels	-9. Refused -8. Don’t know 1. Increased 2. Decreased 3. Kept the same
Survey Question(s)	FEDSPEND_FSENV
Randomization	Randomize order of federal spending items

V201322	PRE: FEDERAL BUDGET SPENDING: PROTECTING THE ENVIRONMENT (STRENGTH)
Question	Should it be [increased / decreased] a lot or a little?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. A lot 2. A little
Universe	IF R THINKS SPENDING ON PROTECTING THE ENVIRONMENT SHOULD BE INCREASED / IF R THINKS SPENDING ON PROTECTING THE ENVIRONMENT SHOULD BE DECREASED:
Survey Question(s)	FEDSPEND_FSENVSTR

V201323x	PRE: SUMMARY: FEDERAL BUDGET SPENDING: PROTECTING THE ENVIRONMENT
Value Labels	-2. DK/RF in V201321 or V201322 1. Increased a lot 2. Increased a little 3. Kept the same 4. Decreased a little 5. Decreasaed a lot

V201324	PRE: CURRENT ECONOMY GOOD OR BAD
Question	What do you think about the state of the economy these days in the United States? Would you say the state of the economy is very good,good, neither good nor bad, bad, or very bad?
Value Labels	-9. Refused -8. Don’t know 1. Very good 2. Good 3. Neither good nor bad 4. Bad 5. Very bad
Survey Question(s)	ECON_ECNOW
Response Order	Forward/Reverse order

V201325	PRE: NATIONAL ECONOMY BETTER OR WORSE IN LAST YEAR
Question	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?
Value Labels	-9. Refused -8. Don’t know 1. Gotten better 2. Stayed about the same 3. Gotten worse
Survey Question(s)	ECON_ECPAST

V201326	PRE: HOW MUCH NATIONAL ECONOMY BETTER OR WORSE IN LAST YEAR
Question	Much [better / worse] or somewhat [better / worse]?
Value Labels	-9. Refused -1. Inapplicable 1. Much 2. Somewhat
Universe	IF R THINKS THE ECONOMY HAS GOTTEN BETTER IN THE PAST YEAR / IF R THINKS THE ECONOMY HAS GOTTEN WORSE IN THE PAST YEAR:
Survey Question(s)	ECON_ECPASTAMT

V201327x	PRE: SUMMARY: NATIONAL ECONOMY BETTER OR WORSE IN LAST YEAR
Value Labels	-2. DK/RF in V201325 or V201326 1. Gotten much better 2. Gotten somewhat better 3. Stayed about the same 4. Gotten somewhat worse 5. Gotten much worse

V201328	PRE: ECONOMY BETTER OR WORSE IN NEXT 12 MONTHS
Question	What about the next 12 months? Do you expect the economy, in the country as a whole, to get better, stay about the same, or get worse?
Value Labels	-9. Refused -8. Don’t know 1. Get better 2. Stay about the same 3. Get worse
Survey Question(s)	ECON_ECNEXT

V201329	PRE: ECONOMY HOW MUCH BETTER OR WORSE NEXT 12 MONTHS
Question	Much [better / worse] or somewhat [better / worse]?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Much 2. Somewhat
Universe	IF R THINKS ECONOMY WILL BE BETTER IN NEXT 12 MONTHS / IF R THINKS ECONOMY WILL BE WORSE IN NEXT 12 MONTHS:
Survey Question(s)	ECON_ECNEXTAMT

V201330x	PRE: SUMMARY: ECONOMY BETTER OR WORSE IN NEXT 12 MONTHS
Value Labels	-2. DK/RF in V201328 or V201329 1. Get much better 2. Get somewhat better 3. Stayed about the same 4. Get somewhat worse 5. Get much worse

V201331	PRE: UNEMPLOYMENT BETTER OR WORSE IN LAST YEAR
Question	Would you say that over the past year, the level of unemployment in the country has gotten better, stayed about the same, or gotten worse?
Value Labels	-9. Refused -8. Don’t know 1. Better 2. About the same 3. Worse
Survey Question(s)	ECON_UNPAST

V201332	PRE: UNEMPLOYMENT HOW MUCH BETTER OR WORSE IN LAST YEAR
Question	Would you say much [better / worse] or somewhat [better / worse]?
Value Labels	-9. Refused -1. Inapplicable 1. Much 2. Somewhat
Universe	IF R SAYS UNEMPLOYMENT HAS GOTTEN BETTER / IF R SAYS UNEMPLOYMENT HAS GOTTEN WORSE:
Survey Question(s)	ECON_UNAMT

V201333x	PRE: SUMMARY: UNEMPLOYMENT BETTER OR WORSE IN LAST YEAR
Value Labels	-2. DK/RF in V201331 or V201332 1. Much better 2. Somewhat better 3. About the same 4. Somewhat worse 5. Much worse

V201334	PRE: MORE OR LESS UNEMPLOYMENT IN NEXT YEAR
Question	How about people out of work during the coming 12 months - do you think that there will be more unemployment than now, about the same, or less?
Value Labels	-9. Refused -8. Don’t know 1. More 2. About the same 3. Less
Survey Question(s)	ECON_UNNEXT

V201335	PRE: HOW WORRIED ABOUT NATIONAL ECONOMY
Question	Overall, how worried are you about the national economy?
Value Labels	-9. Refused -8. Don’t know 1. Not at all worried 2. A little worried 3. Moderately worried 4. Very worried 5. Extremely worried
Survey Question(s)	ECON_CONFECON
Response Order	Forward/Reverse order

V201336	PRE: STD ABORTION: SELF-PLACEMENT
Question	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.
Value Labels	-9. Refused -8. Don’t know 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 other than for rape/incest/danger to woman but only after need clearly established 4. By law, a woman should always be able to obtain an abortion as a matter of personal choice 5. Other {SPECIFY}
Survey Question(s)	ABORTPRE_ABSELFSTD

V201336z	PRE: STD ABORTION: SELF-PLACEMENT - OTHER {SPECIFY}
Question	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.
Value Labels	-2. Open-end responses available in separate file
Survey Question(s)	ABORTPRE_ABSELFSTD

V201337	PRE: IMPORTANCE OF ABORTION ISSUE TO R
Question	How important is this issue to you personally?
Value Labels	-9. Refused -8. Don’t know 1. Not at all important 2. Not too important 3. Somewhat important 4. Very important 5. Extremely important
Survey Question(s)	ABORTPRE_ABSELFIMP
Response Order	Forward/Reverse order

V201338	PRE: STD ABORTION: DEMOCRATIC PRESIDENTIAL CANDIDATE PLACEMENT
Question	Where would you place Joe Biden on abortion?
Value Labels	-9. Refused -8. Don’t know 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 other than for rape/incest/danger to woman but only after need clearly established 4. By law, a woman should always be able to obtain an abortion as a matter of personal choice
Survey Question(s)	ABORTPRE_ABDPCSTD
Randomization	Order of Pres cand abortion placements
Interviewer Instruction	{DO NOT PROBE DK}

V201339	PRE: STD ABORTION: REPUBLICAN PRESIDENTIAL CANDIDATE PLACEMENT
Question	Where would you place Donald Trump on abortion?
Value Labels	-9. Refused -8. Don’t know 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 other than for rape/incest/danger to woman but only after need clearly established 4. By law, a woman should always be able to obtain an abortion as a matter of personal choice
Survey Question(s)	ABORTPRE_ABRPCSTD
Randomization	Order of Pres cand abortion placements
Interviewer Instruction	{DO NOT PROBE DK}

V201340	PRE: ABORTION RIGHTS SUPREME COURT
Question	Would you be pleased, upset, or neither pleased nor upset if the Supreme Court reduced abortion rights?
Value Labels	-9. Refused -8. Don’t know 1. Pleased 2. Upset 3. Neither pleased nor upset
Survey Question(s)	ABORTPRE_ABRSPCT

V201341	PRE: ABORTION RIGHTS SUPREME COURT (STRENGTH)
Question	How [pleased / upset]?
Value Labels	-9. Refused -1. Inapplicable 1. Extremely 2. Moderately 3. A little
Universe	IF R WOULD BE PLEASED / IF R WOULD BE UPSET:
Survey Question(s)	ABORTPRE_ABRSPTSTR
Response Order	Forward/Reverse order

V201342x	PRE: SUMMARY: ABORTION RIGHTS SUPREME COURT
Value Labels	-2. DK/RF in V201340 or V201341 1. Extremely pleased 2. Moderately pleased 3. A little pleased 4. Neither pleased nor upset 5. A little upset 6. Moderately upset 7. Extremely upset

V201343	PRE: R FAVOR OR OPPOSE DEATH PENALTY
Question	Do you favor or oppose the death penalty for persons convicted of murder?
Value Labels	-9. Refused -8. Don’t know 1. Favor 2. Oppose
Survey Question(s)	PENALTY_FAVDPEN

V201344	PRE: R FAVOR OR OPPOSE DEATH PENALTY (STRENGTH)
Question	Do you [favor / oppose] the death penalty for persons convicted of murderstrongly or not strongly?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R FAVORS DEATH PENALTY FOR PERSONS CONVICTED OF MURDER / IF R OPPOSES DEATH PENALTY FOR PERSONS CONVICTED OF MURDER:
Survey Question(s)	PENALTY_DPENSTR

V201345x	PRE: SUMMARY: R FAVOR/OPPOSE DEATH PENALTY
Value Labels	-2. DK/RF in V201343 or V201344 1. Favor strongly 2. Favor not strongly 3. Oppose not strongly 4. Oppose strongly

V201346	PRE: DURING LAST YEAR, US POSITION IN WORLD WEAKER OR STRONGER
Question	Turning to some questions about America’s role in the world: 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?
Value Labels	-9. Refused -8. Don’t know 1. Weaker 2. Stayed about the same 3. Stronger
Survey Question(s)	USWORLD_USSTR
Response Order	Forward/Reverse order

V201347	PRE: COUNTRY WOULD BE BETTER OFF IF WE JUST STAYED HOME
Question	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.’
Value Labels	-9. Refused -8. Don’t know 1. Agree 2. Disagree
Survey Question(s)	USWORLD_USISOL

V201348	PRE: COUNTRY WOULD BE BETTER OFF IF WE JUST STAYED HOME (STRENGTH)
Question	Do you [agree / disagree] strongly or [agree / disagree] somewhat with this statement?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Strongly 2. Somewhat
Universe	IF R AGREES COUNTRY BETTER IF WE STAYED HOME / IF R DISAGREES COUNTRY BETTER IF WE STAYED HOME:
Survey Question(s)	USWORLD_USISOLSTR

V201349x	PRE: SUMMARY: COUNTRY WOULD BE BETTER OFF IF WE JUST STAYED HOME
Value Labels	-2. DK/RF in V201347 or V201348 1. Agree strongly 2. Agree somewhat 3. Disagree somewhat 4. Disagree strongly

V201350	PRE: FORCE TO SOLVE INTERNATIONAL PROBLEMS
Question	How willing should the United States be to use military force to solve international problems?
Value Labels	-9. Refused -8. Don’t know 1. Extremely willing 2. Very willing 3. Moderately willing 4. A little willing 5. Not at all willing
Survey Question(s)	USWORLD_MILFORCE
Response Order	Forward/Reverse order

V201351	PRE: VOTES COUNTED ACCURATELY
Question	In the November 2020 general election, how accurately do you think the votes will be counted?
Value Labels	-9. Refused -8. Don’t know 1. Not at all accurately 2. A little accurately 3. Moderately accurately 4. Very accurately 5. Completely accurately
Survey Question(s)	ELECTINTPRE_VOTECOUNT
Response Order	Forward/Reverse order

V201352	PRE: TRUST ELECTION OFFICIALS
Question	How much do you trust the officials who oversee elections where you live?
Value Labels	-9. Refused -8. Don’t know 1. Not at all 2. A little 3. A moderate amount 4. A lot 5. A great deal
Survey Question(s)	ELECTINTPRE_VOTETRUST
Response Order	Forward/Reverse order

V201353	PRE: HOW OFTEN PEOPLE DENIED RIGHT TO VOTE
Question	How often are people who are eligible to vote denied the right to vote?
Value Labels	-9. Refused -8. Don’t know 1. Never 2. Rarely 3. Occasionally 4. Fairly often 5. Very often
Survey Question(s)	ELECTINTPRE_VOTESTOP
Response Order	Forward/Reverse order

V201354	PRE: FAVOR OR OPPOSE VOTE BY MAIL
Question	Do you favor, oppose, or neither favor nor oppose conducting all elections by mail, instead of people voting in-person?
Value Labels	-9. Refused -8. Don’t know 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	ELECTINTPRE_VOTEMAIL

V201355	PRE: FAVOR OR OPPOSE VOTE BY MAIL (STRENGTH)
Question	Do you [favor / oppose] that a great deal, moderately, or a little?
Value Labels	-9. Refused -1. Inapplicable 1. A great deal 2. Moderately 3. A little
Universe	IF R FAVORS ELECTIONS BY MAIL / IF R OPPOSES ELECTIONS BY MAIL:
Survey Question(s)	ELECTINTPRE_VOTEMAILSTR
Response Order	Forward/Reverse order

V201356x	PRE: SUMMARY: FAVOR/OPPOSE VOTE BY MAIL
Value Labels	-2. DK/RF in V201354 or V201355 1. Favor a great deal 2. Favor moderately 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose moderately 7. Oppose a great deal

V201357	PRE: FAVOR OR OPPOSE REQUIRING ID WHEN VOTING
Question	Do you favor, oppose, or neither favor nor oppose requiring all people to show a government issued photo ID when they vote?
Value Labels	-9. Refused -8. Don’t know 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	ELECTINTPRE_VOTESHOWID

V201358	PRE: FAVOR OR OPPOSE REQUIRING ID WHEN VOTING (STRENGTH)
Question	Do you [favor / oppose] that a great deal, moderately, or a little?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. A great deal 2. Moderately 3. A little
Universe	IF R FAVORS SHOWING GOVT PHOTO ID / IF R OPPOSES SHOWING GOVT PHOTO ID:
Survey Question(s)	ELECTINTPRE_VOTESHOWIDSTR
Response Order	Forward/Reverse order

V201359x	PRE: SUMMARY: FAVOR/OPPOSE REQUIRING ID WHEN VOTING
Value Labels	-2. DK/RF in V201357 or V201358 1. Favor a great deal 2. Favor moderately 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose moderately 7. Oppose a great deal

V201360	PRE: FAVOR OR OPPOSE ALLOWING FELONS TO VOTE
Question	Do you favor, oppose, or neither favor nor oppose allowing convicted felons to vote once they complete their sentence?
Value Labels	-9. Refused -8. Don’t know 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	ELECTINTPRE_VOTEFELON

V201361	PRE: FAVOR OR OPPOSE ALLOWING FELONS TO VOTE (STRENGTH)
Question	Do you [favor / oppose] that a great deal, moderately, or a little?
Value Labels	-9. Refused -1. Inapplicable 1. A great deal 2. Moderately 3. A little
Universe	IF R FAVORS ALLOWING FELONS TO VOTE / IF R OPPOSES ALLOWING FELONS TO VOTE:
Survey Question(s)	ELECTINTPRE_VOTEFELONSTR
Response Order	Forward/Reverse order

V201362x	PRE: SUMMARY: FAVOR/OPPOSE ALLOWING FELONS TO VOTE
Value Labels	-2. DK/RF in V201360 or V201361 1. Favor a great deal 2. Favor moderately 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose moderately 7. Oppose a great deal

V201363	PRE: DOES R’S STATE ASK FOR ID TO VOTE
Question	In your state, are people required to show identification when voting?
Value Labels	-9. Refused -8. Don’t know 1. Yes 2. No 3. Unsure
Survey Question(s)	ELECTINTPRE_VOTEIDSTATE

V201364	PRE: IS R REQUIRED TO SHOW PHOTO ID TO VOTE
Question	Is that required to be a photo ID, or are forms of ID without photos such as, bank statements or utility bills accepted?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Must be photo ID 2. Other forms of ID are acceptable 3. Unsure
Universe	IF R SAYS STATE REQUIRES ID:
Survey Question(s)	ELECTINTPRE_VOTEIDPHOTO

V201365	PRE: OPTIONS FOR ELECTION IF COVID-19 CONTINUES
Question	If the COVID-19 pandemic continues through Election Day in November, what do you think should be done?
Value Labels	-9. Refused -8. Don’t know 1. Delay the election 2. Have all voters mail in their ballots 3. Proceed with in-person voting, but require social distancing at voting locations 4. Proceed as normal with no extra precautions
Survey Question(s)	ELECTINTPRE_COVIDELECT

V201366	PRE: HOW IMPORTANT THAT NEWS ORGANIZATIONS FREE TO CRITICIZE
Question	For the next few items, we would like to know how important you think each one is to the United States maintaining a strong democracy. First, how important is it that news organizations are free to criticize political leaders?
Value Labels	-9. Refused -8. Don’t know 1. Not important at all 2. A little important 3. Moderately important 4. Very important 5. Extremely important
Survey Question(s)	DEMNORMS_DEMCRIT
Response Order	Forward/Reverse order

V201367	PRE: HOW IMPORTANT BRANCHES OF GOVERNMENT KEEP ONE ANOTHER FROM TOO MUCH POWER
Question	How important is it that the executive, legislative, and judicial branches of government keep one another from having too much power?
Value Labels	-9. Refused -8. Don’t know 1. Not important at all 2. A little important 3. Moderately important 4. Very important 5. Extremely important
Survey Question(s)	DEMNORMS_DEMBRANCH
Response Order	Forward/Reverse order

V201368	PRE: HOW IMPORTANT ELECTED OFFICIALS FACE SERIOUS CONSEQUENCES FOR MISCONDUCT
Question	How important is it that elected officials face serious consequences if they engage in misconduct?
Value Labels	-9. Refused -8. Don’t know 1. Not important at all 2. A little important 3. Moderately important 4. Very important 5. Extremely important
Survey Question(s)	DEMNORMS_DEMCONSEQ
Response Order	Forward/Reverse order

V201369	PRE: HOW IMPORTANT THAT PEOPLE AGREE ON BASIC FACTS
Question	How important is it that people agree on basic facts even if they disagree politically?
Value Labels	-9. Refused -8. Don’t know 1. Not important at all 2. A little important 3. Moderately important 4. Very important 5. Extremely important
Survey Question(s)	DEMNORMS_DEMFACTS
Response Order	Forward/Reverse order

V201370	PRE: HELPFUL OR HARMFUL IF PRES DIDN’T HAVE TO WORRY ABOUT CONGRESS/COURTS
Question	Would it be helpful, harmful, or neither helpful nor harmful if U.S. presidents could work on the country’s problems without paying attention to what Congress and the courts say?
Value Labels	-9. Refused -8. Don’t know 1. Helpful 2. Harmful 3. Neither helpful nor harmful
Survey Question(s)	DEMNORMS_STRPRES

V201371	PRE: HELPFUL OR HARMFUL IF PRES DIDN’T HAVE TO WORRY ABOUT CONG/COURTS (STRENGTH)
Question	How [helpful / harmful]?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Extremely 2. Moderately 3. A little
Universe	IF R SAID HELPFUL / IF R SAID HARMFUL:
Survey Question(s)	DEMNORMS_STRPRESSTR
Response Order	Forward/Reverse order

V201372x	PRE: SUMMARY: HELPFUL/HARMFUL IF PRES DIDN’T HAVE TO WORRY ABOUT CONGRESS/COURTS
Value Labels	-2. DK/RF in V201370 or V201371 1. Extremely helpful 2. Moderately helpful 3. A little helpful 4. Neither helpful nor harmful 5. A little harmful 6. Moderately harmful 7. Extremely harmful

V201373	PRE: FAVOR OR OPPOSE RESTRICTING JOURNALIST ACCESS
Question	Do you favor, oppose, or neither favor nor oppose elected officials restricting journalists’ access to information about government decision-making?
Value Labels	-9. Refused -8. Don’t know 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	DEMNORMS_JOURNACCESS

V201374	PRE: FAVOR OR OPPOSE RESTRICTING JOURNALIST ACCESS (STRENGTH)
Question	Do you [favor / oppose] that a great deal, moderately, or a little?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. A great deal 2. Moderately 3. A little
Universe	IF R FAVORS RESTRICTING JOURNALIST ACCESS / IF R OPPOSES RESTRICTING JOURNALIST ACCESS:
Survey Question(s)	DEMNORMS_JOURNACCESSSTR
Response Order	Forward/Reverse order

V201375x	PRE: SUMMARY: FAVOR OR OPPOSE RESTRICTING JOURNALIST ACCESS
Value Labels	-2. DK/RF in V201373 or V201374 1. Favor a great deal 2. Favor moderately 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose moderately 7. Oppose a great deal

V201376	PRE: HOW CONCERNED GOVERNMENT MIGHT UNDERMINE MEDIA
Question	How concerned are you that some people in the government today might want to undermine the news media’s ability to serve as a check on governmental power?
Value Labels	-9. Refused -8. Don’t know 1. Not at all concerned 2. A little concerned 3. Moderately concerned 4. Very concerned 5. Extremely concerned
Survey Question(s)	DEMNORMS_MEDIACHECK
Response Order	Forward/Reverse order

V201377	PRE: HOW MUCH TRUST IN NEWS MEDIA
Question	In general, how much trust and confidence do you have in the news media when it comes to reporting the news fully, accurately, and fairly?
Value Labels	-9. Refused -8. Don’t know 1. None 2. A little 3. A moderate amount 4. A lot 5. A great deal
Survey Question(s)	DEMNORMS_MEDIATRUST
Response Order	Forward/Reverse order

V201378	PRE: APPROPRIATE/INAPPROPRIATE PRES ASK FOREIGN COUNTRIES TO INVESTIGATE RIVALS
Question	In general, how appropriate or inappropriate is it for the president of the United States to ask leaders of foreign countries to investigate political rivals?
Value Labels	-9. Refused -8. Don’t know 1. Very appropriate 2. Somewhat appropriate 3. Neither appropriate nor inappropriate 4. Somewhat inappropriate 5. Very inappropriate
Survey Question(s)	DEMNORMS_SOLICITFOR
Response Order	Forward/Reverse order

V201379	PRE: PREFER GOVERNMENT OFFICIAL WHO COMPROMISES OR STICKS TO PRINCIPLES
Question	Would you prefer a government official who compromises to get things done, or who sticks to their principles no matter what?
Value Labels	-9. Refused -8. Don’t know 1. Compromises to get things done 2. Sticks to their principles no matter what
Survey Question(s)	COMPROMISE_PREFCOMP

V201380	PRE: CORRUPTION INCREASED OR DECREASED SINCE TRUMP
Question	Has corruption in government increased, decreased, or stayed the same since Donald Trump became president?
Value Labels	-9. Refused -8. Don’t know 1. Increased 2. Decreased 3. Stayed the same
Survey Question(s)	TRUMPIMPEACH_CORRUPTDT

V201381	PRE: CORRUPTION INCREASED OR DECREASED SINCE TRUMP (STRENGTH)
Question	Has corruption [increased / decreased] a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R SAYS CORRUPTION INCREASED / IF R SAYS CORRUPTION DECREASED:
Survey Question(s)	TRUMPIMPEACH_CORRUPTDTSTR
Response Order	Forward/Reverse order

V201382x	PRE: SUMMARY: CORRUPTION INCREASED OR DECREASED SINCE TRUMP
Value Labels	-2. DK/RF in V201380 or V201381 1. Increased a great deal 2. Increased a moderate amount 3. Increased a little 4. Stayed the same 5. Decreased a little 6. Decreased a moderate amount 7. Decreased a great deal

V201383	PRE: DID TRUMP ASK UKRAINE TO INVESTIGATE RIVALS
Question	As far as you know, did President Trump ask the Ukrainian president to investigate President Trump’s political rivals, did he not ask for an investigation, or are you not sure?
Value Labels	-9. Refused -8. Don’t know 1. Asked for an investigation 2. Did not ask for an investigation 3. I’m not sure
Survey Question(s)	TRUMPIMPEACH_UKRAINEDT

V201384	PRE: FAVOR OR OPPOSE HOUSE IMPEACHMENT DECISION
Question	Do you favor, oppose, or neither favor nor oppose the U.S. House of Representatives’ decision in December of last year to impeach President Trump?
Value Labels	-9. Refused -8. Don’t know 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	TRUMPIMPEACH_HOUSEIMPEACH

V201385	PRE: FAVOR OR OPPOSE HOUSE IMPEACHMENT DECISION (STRENGTH)
Question	Do you [favor / oppose] that a great deal, moderately, or a little?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. A great deal 2. Moderately 3. A little
Universe	IF R FAVORS HOUSE IMPEACHMENT / IF R OPPOSES HOUSE IMPEACHMENT:
Survey Question(s)	TRUMPIMPEACH_HOUSEIMPEACHSTR
Response Order	Forward/Reverse order

V201386x	PRE: SUMMARY: FAVOR OR OPPOSE HOUSE IMPEACHMENT DECISION
Value Labels	-2. DK/RF in V201384 or V201385 1. Favor a great deal 2. Favor moderately 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose moderately 7. Oppose a great deal

V201387	PRE: FAVOR OR OPPOSE SENATE ACQUITTAL DECISION
Question	Do you favor, oppose, or neither favor nor oppose the U.S. Senate’s decision in February to acquit President Trump of the impeachment charges and thus let him remain in office?
Value Labels	-9. Refused -8. Don’t know 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	TRUMPIMPEACH_SENIMPEACH

V201388	PRE: FAVOR OR OPPOSE SENATE ACQUITTAL DECISION (STRENGTH)
Question	Do you [favor / oppose] that a great deal, moderately, or a little?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. A great deal 2. Moderately 3. A little
Universe	IF R FAVORS SENATE ACQUITTAL / IF R OPPOSES SENATE ACQUITTAL:
Survey Question(s)	TRUMPIMPEACH_SENIMPEACHSTR

V201389x	PRE: SUMMARY: FAVOR OR OPPOSE SENATE ACQUITTAL DECISION
Value Labels	-2. DK/RF in V201387 or V201388 1. Favor a great deal 2. Favor moderately 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose moderately 7. Oppose a great deal

V201390	PRE: FEDERAL GOVERNMENT RESPONSE TO COVID-19
Question	Do you think the federal government’s response to the COVID-19 outbreak earlier this year was too quick, too slow, or about right?
Value Labels	-9. Refused -8. Don’t know 1. Too quick 2. Too slow 3. About right
Survey Question(s)	COVPOLICY_FEDRESP

V201391	PRE: FEDERAL GOVERNMENT RESPONSE TO COVID-19 (STRENGTH)
Question	Do you think it was much too [quick / slow] or somewhat too [quick / slow]?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Much too quick / Much too slow 2. Somewhat too quick / Somewhat too slow
Universe	IF R THINKS RESPONSE WAS TOO QUICK / IF R THINKS RESPONSE WAS TOO SLOW:
Survey Question(s)	COVPOLICY_FEDRESPSTR

V201392x	PRE: SUMMARY: FEDERAL GOVERNMENT RESPONSE TO COVID-19
Value Labels	-2. DK/RF in V201390 or V201391 1. Much too quick 2. Somewhat too quick 3. About right 4. Somewhat too slow 5. Much too slow

V201393	PRE: LIMITS PLACED ON PUBLIC ACTIVITY DUE TO COVID-19 TOO STRICT OR NOT
Question	Do you think the limits your state placed on public activity because of the COVID-19 pandemic were far too strict, somewhat too strict, about right, not quite strict enough, or not nearly strict enough?
Value Labels	-9. Refused -8. Don’t know 1. Far too strict 2. Somewhat too strict 3. About right 4. Not quite strict enough 5. Not nearly strict enough
Survey Question(s)	COVPOLICY_LIMITS
Response Order	Forward/Reverse order

V201394	PRE: RE-OPENING TOO QUICKLY OR TOO SLOWLY
Question	Do you think your state has moved too quickly, too slowly, or the right speed in relaxing �stay at home� orders and re-opening businesses?
Value Labels	-9. Refused -8. Don’t know 1. Too quickly 2. Too slowly 3. The right speed
Survey Question(s)	COVPOLICY_REOPEN

V201395	PRE: RE-OPENING TOO QUICKLY OR TOO SLOWLY (STRENGTH)
Question	Do you think it was much too [quickly / slowly] or somewhat too [quickly / slowly]?
Value Labels	-9. Refused -1. Inapplicable 1. Much too quickly / Much too slowly 2. Somewhat too quickly / Somewhat too slowly
Universe	IF R THINKS TOO QUICKLY / IF R THINKS TOO SLOWLY:
Survey Question(s)	COVPOLICY_REOPENSTR

V201396x	PRE: SUMMARY: RE-OPENING TOO QUICKLY OR TOO SLOWLY
Value Labels	-2. DK/RF in V201394 or V201395 1. Much too quickly 2. Somewhat too quickly 3. About right 4. Somewhat too slowly 5. Much too slowly

V201397	PRE: INCOME GAP TODAY MORE OR LESS THAN 20 YEARS AGO
Question	Do you think the difference in incomes between rich people and poor people in the United States today is larger, smaller, or about the same as it was 20 years ago?
Value Labels	-9. Refused -8. Don’t know 1. Larger 2. Smaller 3. About the same
Survey Question(s)	INEQ_INCGAP

V201398	PRE: HOW MUCH LARGER IS INCOME GAP TODAY
Question	Would you say the difference in incomes is much larger or somewhat larger?
Value Labels	-9. Refused -1. Inapplicable 1. Much 2. Somewhat
Universe	IF INCOME GAP TODAY IS LARGER THAN IT WAS 20 YEARS AGO:
Survey Question(s)	INEQ_GAPMORE

V201399	PRE: HOW MUCH SMALLER IS INCOME GAP TODAY
Question	Would you say the difference in incomes is much smaller or somewhat smaller?
Value Labels	-9. Refused -1. Inapplicable 1. Much 2. Somewhat
Universe	IF INCOME GAP TODAY IS SMALLER THAN IT WAS 20 YEARS AGO:
Survey Question(s)	INEQ_GAPLESS

V201400x	PRE: SUMMARY: HOW MUCH LARGER IS INCOME GAP TODAY
Value Labels	-2. DK/RF in V201397, V201398 or V201399 1. Much larger 2. Somewhat larger 3. About the same 4. Somewhat smaller 5. Much smaller

V201401	PRE: GOVERNMENT ACTION ABOUT RISING TEMPERATURES
Question	Do you think the federal government should be doing more about rising temperatures, should be doing less, or is it currently doing the right amount?
Value Labels	-9. Refused -8. Don’t know 1. Should be doing more 2. Should be doing less 3. Is currently doing the right amount
Survey Question(s)	ENVIR_WARMDO

V201402	PRE: GOVERNMENT ACTION ABOUT RISING TEMPERATURES (STRENGTH)
Question	Should it be doing a great deal [more/less], a moderate amount [more/less], or a little [more/less]?
Value Labels	-9. Refused -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R SAYS GOVERNMENT SHOULD DO MORE ABOUT RISING TEMPERATURES / IF R SAYS GOVERNMENT SHOULD DO LESS ABOUT RISING TEMPERATURES:
Survey Question(s)	ENVIR_WARMDOAMT
Response Order	Forward/Reverse order

V201403	PRE: REQUIRE EMPLOYERS TO OFFER PAID LEAVE TO PARENTS OF NEW CHILDREN
Question	Do you favor, oppose, or neither favor nor oppose requiring employers tooffer paid leave to parents of new children?
Value Labels	-9. Refused -8. Don’t know 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	GENDPOL_PARLEAVE

V201404	PRE: REQUIRE EMPLOYERS TO OFFER PAID LEAVE TO PARENTS OF NEW CHILDREN (STRENGTH)
Question	Do you [favor / oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R FAVORS REQUIRING EMPLOYERS TO OFFER PAID LEAVE FOR NEW CHILDREN / IF R OPPOSES REQUIRING EMPLOYERS TO OFFER PAID LEAVE FOR NEW CHILDREN :
Survey Question(s)	GENDPOL_PARLEAVESTR

V201405x	PRE: SUMMARY: REQUIRE EMPLOYERS TO OFFER PAID LEAVE TO PARENTS OF NEW CHILDREN
Value Labels	-2. DK/RF in V201403 or V201404 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V201406	PRE: SERVICES TO SAME SEX COUPLES
Question	Do you think business owners who provide wedding-related services should be allowed to refuse services to same-sex couples if same-sex marriage violates their religious beliefs, or do you think business owners should be required to provide services regardless of a couple’s sexual orientation?
Value Labels	-9. Refused -8. Don’t know 1. Should be allowed to refuse 2. Should be required to provide services
Survey Question(s)	RELIGEXEMP_RELIGSRV

V201407	PRE: SERVICES TO SAME SEX COUPLES (STRENGTH)
Question	How strongly do you feel that way?
Value Labels	-9. Refused -1. Inapplicable 1. Very strongly 2. Moderately 3. A little
Universe	IF R OPINION ON REFUSING WEDDING SERVICES TO SAME-SEX COUPLES IS NOT DK/RF:
Survey Question(s)	RELIGEXEMP_RELIGSRVSTR
Response Order	Forward/Reverse order

V201408x

PRE: SUMMARY: SERVICES TO SAME SEX COUPLES

Value Labels

-2. DK/RF in V201406 or V201408 1. Feels very strongly should be allowed to refuse services 2. Feels moderately strongly should be allowed to refuse services 3. Feels a little strongly should be allowed to refuse services 4. Feels a little strongly should be required to provide services 5. Feels moderately strongly should be required to provide services 6. Feels very strongly should be required to provide services

V201409	PRE: TRANSGENDER POLICY
Question	Should transgender people - that is, people who identify themselves as the sex or gender different from the one they were born as - have to use the bathrooms of the gender they were born as, or should they be allowed to use the bathrooms of their identified gender?
Value Labels	-9. Refused -8. Don’t know 1. Have to use the bathrooms of the gender they were born as 2. Be allowed to use the bathrooms of their identified gender
Survey Question(s)	TRANSPOLICY_RESTRM

V201410	PRE: TRANSGENDER POLICY (STRENGTH)
Question	How strongly do you feel that way?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Very strongly 2. Moderately 3. A little
Universe	IF R OPINION ON TRANSGENDER USE OF RESTROOMS OF IDENTIFIED GENDER IS NOT DK/RF:
Survey Question(s)	TRANSPOLICY_RESTRMSTR
Response Order	Forward/Reverse order

V201411x

PRE: SUMMARY: TRANSGENDER POLICY

Value Labels

-2. DK/RF in V201409 or V201410 1. Feels very strongly transgender people should use bathroom of birth gender 2. Feels moderately strongly transgender people should use bathroom of birth gender 3. Feels a little strongly transgender people should use bathroom of birth gender 4. Feels a little strongly transgender people be allowed to use bathroom of identified gender 5. Feels moderately strongly transgender people be allowed to use bathroom of identified gender 6. Feels very strongly transgender people be allowed to use bathroom of identified gender

V201412	PRE: DOES R FAVOR/OPPOSE LAWS PROTECT GAYS/LESBIANS AGAINST JOB DISCRIMINATION
Question	Do you favor or oppose laws to protect gays and lesbians against job discrimination?
Value Labels	-9. Refused -8. Don’t know 1. Favor 2. Oppose
Survey Question(s)	GAYRT_GDISCREV

V201413	PRE: HOW MUCH R FAV/OPP LAWS PROTECT GAYS/LESBIANS AGAINST JOB DISCRIMINATION
Question	Do you [favor / oppose] such laws strongly or not strongly?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R FAVORS PROTECTING GAYS AND LESBIANS AGAINST JOB DISCRIMINATION/ IF R OPPOSES PROTECTING GAYS AND LESBIANS AGAINST JOB DISCRIMINATION:
Survey Question(s)	GAYRT_GDISCSTREV

V201414x	PRE: SUMMARY: FAVOR/OPPOSE LAWS PROTECT GAYS LESBIANS AGAINST JOB DISCRIMINATION
Value Labels	-2. DK/RF in V201412 or V201413 1. Favor strongly 2. Favor not strongly 3. Oppose not strongly 4. Oppose strongly

V201415	PRE: SHOULD GAY AND LESBIAN COUPLES BE ALLOWED TO ADOPT
Question	Do you think gay or lesbian couples should be legally permitted to adopt children?
Value Labels	-9. Refused -8. Don’t know 1. Yes 2. No
Survey Question(s)	GAYRT_GAYADOPT

V201416	PRE: R POSITION ON GAY MARRIAGE
Question	Which comes closest to your view? You can just tell me the number of your choice.
Value Labels	-9. Refused -8. Don’t know 1. Gay and lesbian couples should be allowed to legally marry 2. Gay and lesbian couples should be allowed to form civil unions but not legally marry 3. There should be no legal recognition of gay or lesbian couples’ relationship
Survey Question(s)	GAYRT_GAYMARR

V201417	PRE: US GOVERNMENT POLICY TOWARD UNAUTHORIZED IMMIGRANTS
Question	Which comes closest to your view about what government policy should be toward unauthorized immigrants now living in the United States? You can just tell me the number of your choice.
Value Labels	-9. Refused -8. Don’t know 1. Make all unauthorized immigrants felons and send them back to their home country 2. Have a guest worker program that allows unauthorized immigrants to remain in US to work but only for limited time 3. Allow unauthorized immigrants to remain in US & eventually qualify for citizenship but only if they meet requirements 4. Allow unauthorized immigrants to remain in US & eventually qualify for citizenship without penalties
Survey Question(s)	IMMIG_IMMPOL

V201418	PRE: FAVOR OR OPPOSE ENDING BIRTHRIGHT CITIZENSHIP
Question	Some people have proposed that the U.S. Constitution should be changed so that the children of unauthorized immigrants do not automatically get citizenship if they are born in this country. Do you favor, oppose, or neither favor nor oppose this proposal?
Value Labels	-9. Refused -8. Don’t know 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	IMMIG_BRTCITRT

V201419	PRE: FAVOR OR OPPOSE ENDING BIRTHRIGHT CITIZENSHIP (STRENGTH)
Question	Do you [favor / oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R FAVORS CHANGING CONSTITUTION - US-BORN CHILDREN OF OF ILLEGAL IMMIGRANTS / IF R FAVORS CHANGING CONSTITUTION - US-BORN CHILDREN OF OF ILLEGAL IMMIGRANTS:
Survey Question(s)	IMMIG_BIRTHRTSTR
Response Order	Forward/Reverse order

V201420x	PRE: SUMMARY: FAVOR OR OPPOSE ENDING BIRTHRIGHT CITIZENSHIP
Value Labels	-2. DK/RF in V201418 or V201419 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V201421	PRE: SHOULD CHILDREN BROUGHT ILLEGALLY BE SENT BACK OR ALLOWED TO STAY
Question	What should happen to immigrants who were brought to the U.S. illegally as children and have lived here for at least 10 years and graduated high school here? Should they be sent back where they came from, or should they be allowed to live and work in the United States?
Value Labels	-9. Refused -8. Don’t know 1. Should be sent back where they came from 2. Should be allowed to live and work in the US
Survey Question(s)	IMMIG_CHILD

V201422	PRE: SHOULD CHILDREN BROUGHT ILLEGALLY BE SENT BACK/ALLOWED TO STAY (STRENGTH)
Question	Do you favor that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R R OPINION ON ILLEGAL IMMIGRANT CHILDREN RAISED IN U.S. IS NOT DK/RF:
Survey Question(s)	IMMIG_CHILDSTR
Response Order	Forward/Reverse order

V201423x	PRE: SUMMARY: SHOULD CHILDREN BROUGHT ILLEGALLY BE SENT BACK OR ALLOWED TO STAY
Value Labels	-2. DK/RF in V201421 or V201422 1. Favors a great deal they should be sent back 2. Favors a moderate amount they should be sent back 3. Favors a little they should be sent back 4. Favors a little they should be allowed to live and work in US 5. Favors a moderate amount they should be allowed to live and work in US 6. Favors a great deal they should be allowed to live and work in US

V201424	PRE: FAVOR OR OPPOSE BUILDING A WALL ON BORDER WITH MEXICO
Question	Do you favor, oppose, or neither favor nor oppose building a wall on the U.S. border with Mexico?
Value Labels	-9. Refused -8. Don’t know 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	IMMIG_WALL

V201425	PRE: FAVOR OR OPPOSE BUILDING A WALL ON BORDER WITH MEXICO (STRENGTH)
Question	Do you [favor / oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R FAVORS BUILDING A WALL ON THE U.S. BORDER WITH MEXICO / IF R OPPOSES BUILDING A WALL ON THE U.S. BORDER WITH MEXICO:
Survey Question(s)	IMMIG_WALLSTR
Response Order	Forward/Reverse order

V201426x	PRE: SUMMARY: FAVOR OR OPPOSE BUILDING A WALL ON BORDER WITH MEXICO
Value Labels	-2. DK/RF in V201424 or V201425 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V201427	PRE: HOW IMPORTANT TO SPEAK ENGLISH IN US
Question	How important do you think it is that everyone in the United States learn to speak English?
Value Labels	-9. Refused -8. Don’t know 1. Very important 2. Somewhat important 3. Not very important 4. Not at all important
Survey Question(s)	USLANG_SPEAKENG
Response Order	Forward/Reverse order

V201428	PRE: LIKELIHOOD OF RUSSIAN INTERFERENCE IN UPCOMING ELECTION
Question	How likely do you think it is that the Russian government will interfere in the 2020 presidential election to try to help Donald Trump win?
Value Labels	-9. Refused -8. Don’t know 1. Extremely likely 2. Very likely 3. Moderately likely 4. Slightly likely 5. Not likely at all
Survey Question(s)	RUSSIAINT_RUSSIAINT20
Response Order	Forward/Reverse order

V201429	PRE: BEST WAY TO DEAL WITH URBAN UNREST
Question	What is the best way to deal with the problem of urban unrest and rioting? Some say it is more important to use all available force to maintain law and order, no matter what results. Others say it is more important to correct the problems of racism and police violence that give rise to the disturbances. And, of course, other people have opinions in between. On this scale from 1 to 7, where 1 means solve problems of racism and police violence, and 7 means use all available force to maintain law and order, where would you place yourself on this scale, or haven’t you thought much about this?
Value Labels	-9. Refused -8. Don’t know 1. Solve problems of racism and police violence 2. 3. 4. 5. 6. 7. Use all available force to maintain law and order 99. Haven’t thought much about this
Survey Question(s)	PROTEST_UNREST
Interviewer Instruction	{DO NOT PROBE DK}

V201430	PRE: PROTESTORS ACTIONS BEEN MOSTLY VIOLENT OR PEACEFUL
Question	During the past few months, would you say that most of the actions taken by protestors to get the things they want have been violent, or have most of these actions by protesters been peaceful, or have these actions been equally violent and peaceful?
Value Labels	-9. Refused -8. Don’t know 1. Mostly violent 2. Mostly peaceful 3. Equally violent and peaceful
Survey Question(s)	PROTEST_PEACE

V201431	PRE: PROTESTORS ACTIONS HAVE BEEN MOSTLY VIOLENT OR PEACEFUL (STRENGTH)
Question	Have the actions of protestors been a lot more or only a little more [violent / peaceful]?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. A lot 2. A little
Universe	IF R SAYS ACTIONS MOSTLY VIOLENT / IF R SAYS ACTIONS MOSTLY PEACEFUL:
Survey Question(s)	PROTEST_PEACESTR

V201432x	PRE: SUMMARY: PROTESTORS ACTIONS BEEN MOSTLY VIOLENT OR PEACEFUL
Value Labels	-2. DK/RF in V201430 or V201431 1. A lot more violent 2. A ittle more violent 3. Equally violent and peaceful 4. A little more peaceful 5. A lot more peaceful

V201433	PRE: IS RELIGION IMPORTANT PART OF R LIFE [REVISED]
Question	Now on another topic: How important is religion in your life?
Value Labels	-9. Refused -8. Don’t know 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not important at all
Survey Question(s)	RELIG_RELIMPREV
Response Order	Forward/Reverse order

V201434	PRE: IS BIBLE WORD OF GOD OR MEN
Question	Which of these statements comes closest to describing your feelings about the Bible? You can just give me the number of your choice.
Value Labels	-9. Refused -8. Don’t know 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 Other {SPECIFY}
Survey Question(s)	RELIG_RELBIBLE

V201434z	PRE: IS BIBLE WORD OF GOD OR MEN - OTHER {SPECIFY}
Question	Which of these statements comes closest to describing your feelings about the Bible? You can just give me the number of your choice.
Value Labels	-2. Open-end responses available in separate file
Survey Question(s)	RELIG_RELBIBLE

V201435	PRE: WHAT IS PRESENT RELIGION OF R
Question	What is your present religion, if any?
Value Labels	-9. Refused -8. Don’t know 1. Protestant 2. Roman Catholic 3. Orthodox Christian (such as Greek or Russian Orthodox) 4. Latter-Day Saints (LDS) 5. Jewish 6. Muslim 7. Buddhist 8. Hindu 9. Atheist 10. Agnostic 11. Something else 12. Nothing in particular
Survey Question(s)	RELIG_RELGRREV

V201436	PRE: IF R HAS NO PARTICULAR RELIGION DOES R MEAN ATHEIST OR AGNOSTIC
Question	Would you say that is atheist, agnostic, Christian, or nothing in particular?
Value Labels	-9. Refused -1. Inapplicable 1. Atheist 2. Agnostic 3. Christian 4. Nothing in particular
Universe	IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’:
Survey Question(s)	RELIG_RELGRNO

V201437	RESTRICTED: PRE: MAJOR RELIG DENOM IF R RELIG GROUP PROTESTANT OR SOMETHING ELSE
Question	What specific religion, church or denomination is that?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN:
Survey Question(s)	RELIG_RELDENOM

V201437z	RESTRICTED: PRE: MAJOR RELIG DENOM IF PROTESTANT OR SOMETHING ELSE-OTH {SPECIFY}
Question	What specific religion, church or denomination is that?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN:
Survey Question(s)	RELIG_RELDENOM

V201438	RESTRICTED: PRE: SPECIFIC BAPTIST DENOMINATION
Question	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, the National Baptist Convention, an independent Baptist church, or some other Baptist group?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS BAPTIST:
Survey Question(s)	RELIG_BAPT

V201438z	RESTRICTED: PRE: SPECIFIC BAPTIST DENOMINATION - OTHER {SPECIFY}
Question	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, the National Baptist Convention, an independent Baptist church, or some other Baptist group?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS BAPTIST:
Survey Question(s)	RELIG_BAPT

V201439	RESTRICTED: PRE: SPECIFIC INDEP. BAPTIST DENOMINATION
Question	Are you affiliated with any larger Baptist group or is this strictly a local church?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS BAPTIST: IF R’S CHURCH IS INDEPENDENT BAPTIST:
Survey Question(s)	RELIG_INDBAPT

V201439z	RESTRICTED: PRE: SPECIFIC INDEP. BAPTIST DENOMINATION - OTHER {SPECIFY}
Question	Are you affiliated with any larger Baptist group or is this strictly a local church?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS BAPTIST: IF R’S CHURCH IS INDEPENDENT BAPTIST:
Survey Question(s)	RELIG_INDBAPT

V201440	RESTRICTED: PRE: SPECIFIC LUTHERAN DENOMINATION
Question	Is this church part of the Evangelical Lutheran Church in America, the Missouri Synod, or some other Lutheran group?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS LUTHERAN:
Survey Question(s)	RELIG_LUTH

V201440z	RESTRICTED: PRE: SPECIFIC LUTHERAN DENOMINATION - OTHER {SPECIFY}
Question	Is this church part of the Evangelical Lutheran Church in America, the Missouri Synod, or some other Lutheran group?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS LUTHERAN:
Survey Question(s)	RELIG_LUTH

V201441	RESTRICTED: PRE: SPECIFIC METHODIST DENOMINATION
Question	Is your church part of the United Methodist Church, African Methodist Episcopal Church, African Methodist Episcopal Zion Church, or some other Methodist group?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS METHODIST:
Survey Question(s)	RELIG_METH

V201441z	RESTRICTED: PRE: SPECIFIC METHODIST DENOMINATION - OTHER {SPECIFY}
Question	Is your church part of the United Methodist Church, African Methodist Episcopal Church, African Methodist Episcopal Zion Church, or some other Methodist group?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS METHODIST:
Survey Question(s)	RELIG_METH

V201442	RESTRICTED: PRE: SPECIFIC PRESBYTERIAN DENOMINATION
Question	Is this the Presbyterian Church in the U.S.A. or some other Presbyterian group?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS PRESBYTERIAN:
Survey Question(s)	RELIG_PRESB

V201442z	RESTRICTED: PRE: SPECIFIC PRESBYTERIAN DENOMINATION - OTHER {SPECIFY}
Question	Is this the Presbyterian Church in the U.S.A. or some other Presbyterian group?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS PRESBYTERIAN:
Survey Question(s)	RELIG_PRESB

V201443	RESTRICTED: PRE: SPECIFIC REFORMED DENOMINATION
Question	Is this the Christian Reformed Church, the Reformed Church in America or some other Reformed group?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS REFORMED:
Survey Question(s)	RELIG_REFRM

V201443z	RESTRICTED: PRE: SPECIFIC REFORMED DENOMINATION - OTHER {SPECIFY}
Question	Is this the Christian Reformed Church, the Reformed Church in America or some other Reformed group?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS REFORMED:
Survey Question(s)	RELIG_REFRM

V201444	RESTRICTED: PRE: SPECIFIC BRETHREN DENOMINATION
Question	Is this the Church of the Brethren, the Plymouth Brethren, or what?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS BRETHREN:
Survey Question(s)	RELIG_BRETHR

V201444z	RESTRICTED: PRE: SPECIFIC BRETHREN DENOMINATION - OTHER {SPECIFY}
Question	Is this the Church of the Brethren, the Plymouth Brethren, or what?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS BRETHREN:
Survey Question(s)	RELIG_BRETHR

V201445	RESTRICTED: PRE: SPECIFIC DISCIPLES DENOMINATION
Question	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’?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R SAYS DENOMINATION IS ‘CHRISTIAN’:
Survey Question(s)	RELIG_DISCP

V201445z	RESTRICTED: PRE: SPECIFIC DISCIPLES DENOMINATION - OTHER {SPECIFY}
Question	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’?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R SAYS DENOMINATION IS ‘CHRISTIAN’:
Survey Question(s)	RELIG_DISCP

V201446	RESTRICTED: PRE: SPECIFIC CHURCH OF CHRIST DENOMINATION
Question	Is this the Church of Christ or the United Church of Christ?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS CHURCH OF CHRIST:
Survey Question(s)	RELIG_CHCHRST

V201447	RESTRICTED: PRE: SPECIFIC CHURCH OF GOD DENOMINATION
Question	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?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS CHURCH OF GOD:
Survey Question(s)	RELIG_CHGOD

V201447z	RESTRICTED: PRE: SPECIFIC CHURCH OF GOD DENOMINATION - OTHER {SPECIFY}
Question	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?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS CHURCH OF GOD:
Survey Question(s)	RELIG_CHGOD

V201448	RESTRICTED: PRE: SPECIFIC HOLINESS PENTECOSTAL DENOMINATION
Question	What kind of church is that? What is it called exactly? Is that part of a larger church or denomination? What is the church called?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R DENOMINATION IS HOLINESS OR PENTECOSTAL:
Survey Question(s)	RELIG_PENT
Interviewer Instruction	{THESE QUESTIONS ARE PROBES. USE THESE AND OTHERS TO GET AS MUCH SPECIFIC INFORMATION AS POSSIBLE.}

V201449	RESTRICTED: PRE: SPECIFIC OTHER DENOMINATION
Question	What is it called exactly? Is that church part of a denomination?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT FURTHER DESCRIBED AS CHRISTIAN: IF R SPECIFIC DENOMINATION ‘OTHER’:
Survey Question(s)	RELIG_DENOTHER
Interviewer Instruction	{GET FULL NAME OF CHURCH AND DENOMINATION. PROBE AS NEEDED: WHAT IS THE CHURCH NAME? WHAT IS THE NAME OF ITS DENOMINATION?}

V201450	RESTRICTED: PRE: SPECIFIC OTHER DENOMINATION CHRISTIAN
Question	Is that group Christian?
Value Labels	-3. Restricted
Universe	IF R RELIGIOUS GROUP PROTESTANT OR ‘SOMETHING ELSE’ / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ AND FURTHER DESCRIBED AS CHRISTIAN: IF R SPECIFIC DENOMINATION ‘OTHER’:
Survey Question(s)	RELIG_OTHXIAN

V201451	RESTRICTED: PRE: SPECIFIC JEWISH DENOMINATION
Question	Do you consider yourself Orthodox, Conservative, Reform or what?
Value Labels	-3. Restricted
Universe	IF R GAVE RELIGIOUS GROUP AS JEWISH :
Survey Question(s)	RELIG_JEWISH

V201451z	RESTRICTED: PRE: SPECIFIC JEWISH DENOMINATION - OTHER {SPECIFY}
Question	Do you consider yourself Orthodox, Conservative, Reform or what?
Value Labels	-3. Restricted
Universe	IF R GAVE RELIGIOUS GROUP AS JEWISH :
Survey Question(s)	RELIG_JEWISH

V201452	PRE: EVER ATTEND CHURCH OR RELIGIOUS SERVICES
Question	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?
Value Labels	-9. Refused -8. Don’t know 1. Yes 2. No
Survey Question(s)	RELIG_CHURCH

V201453	PRE: ATTEND RELIGIOUS SERVICES HOW OFTEN
Question	Do you go to religious services every week, almost every week, once or twice a month, a few times a year, or never?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Every week 2. Almost every week 3. Once or twice a month 4. A few times a year 5. Never
Universe	IF R ATTENDS RELIGIOUS SERVICES:
Survey Question(s)	RELIG_CHURCHOFT
Response Order	Forward/Reverse order

V201454	PRE: ATTEND CHURCH MORE OFTEN THAN ONCE A WEEK
Question	Would you say you go to religious services once a week or more often than once a week?
Value Labels	-9. Refused -1. Inapplicable 1. Once a week 2. More often than once a week
Universe	IF R ATTENDS RELIGIOUS SERVICES: IF R SAYS ATTENDS RELIGIOUS SERVICES ‘EVERY WEEK’:
Survey Question(s)	RELIG_CHURCHWK

V201456	PRE: DOES CHRISTIAN R CONSIDER SELF BORN AGAIN
Question	Would you call yourself a born-again Christian, that is, have you personally had a conversion experience related to Jesus Christ?
Value Labels	-9. Refused -1. Inapplicable 1. Yes 2. No
Universe	IF R IS CHRISTIAN:
Survey Question(s)	RELIG_BORNAGN

V201457x	PRE: SUMMARY: FULL RELIGION SUMMARY
Value Labels	See APPENDIX B: RELIGION CODES for codes 010-889.

V201458x	PRE: SUMMARY: MAJOR GROUP RELIGION SUMMARY
Value Labels	-1. Missing, item nonresponse 1. Mainline Protestant 2. Evangelical Protestant 3. Black Protestant 4. Undifferentiated Protestant 5. Roman Catholic 6. Other Christian 7. Jewish 8. Other religion 9. Not religious

V201459	PRE: DOES R CONSIDER SELF A RELIGIOUS FUNDAMENTALIST OR EVANGELICAL
Question	Do you consider yourself a fundamentalist, an evangelical, both, or neither?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Fundamentalist 2. Evangelical 3. Both 4. Neither
Universe	IF R RELIGIOUS GROUP NOT ATHEIST, AGNOSTIC, DK OR RF / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT NOT FURTHER DESCRIBED AS ATHEIST OR AGNOSTIC:
Survey Question(s)	RELIG_FUNDEVANG

V201460	PRE: HOW IMPORTANT TO R IS BEING A RELIGIOUS FUNDAMENTALIST
Question	How important is being a fundamentalist to your identity?
Value Labels	-9. Refused -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not important at all
Universe	IF R RELIGIOUS GROUP NOT ATHEIST, AGNOSTIC, DK OR RF / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT NOT FURTHER DESCRIBED AS ATHEIST OR AGNOSTIC: IF R CONSIDERS SELF A RELIGIOUS FUNDAMENTALIST:
Survey Question(s)	RELIG_FUNDIDENTIMP
Response Order	Forward/Reverse order

V201461	PRE: HOW IMPORTANT TO R IS BEING A RELIGIOUS EVANGELICAL
Question	How important is being an evangelical to your identity?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not important at all
Universe	IF R RELIGIOUS GROUP NOT ATHEIST, AGNOSTIC, DK OR RF / IF R RELIGIOUS GROUP ‘NOTHING IN PARTICULAR’ BUT NOT FURTHER DESCRIBED AS ATHEIST OR AGNOSTIC: IF R CONSIDERS SELF A RELIGIOUS EVANGELICAL:
Survey Question(s)	RELIG_EVANGIDENTIMP
Response Order	Forward/Reverse order

V201462	PRE: RELIGIOUS IDENTIFICATION
Question	Which of the following terms describe your religious beliefs?
Value Labels	-9. Refused -8. Don’t know 2. Charismatic/Pentecostal 5. Traditional 6. Mainline 7. Progressive 8. Non-traditional believer 9. Secular 12. Spiritual but not religious 13. None of the above
Survey Question(s)	RELIG_RELIGIDENT
Interviewer Instruction	{ENTER ALL THAT APPLY}

V201501	PRE: R LIVING WITH HOW MANY FAMILY MEMBERS
Question	Now on another topic. How many family members are living with you?
Value Labels	-9. Refused 5. Five or more
Survey Question(s)	DEM_FINFAM
Interviewer Instruction	{ENTER 0 IF RESPONSE IS NONE}

V201502	PRE: R HOW MUCH BETTER OR WORSE OFF FINANCIALLY THAN 1 YEAR AGO
Question	We are interested in how people are getting along financially thesedays. Would you say that [you / you and your family living here] are much better off financially, somewhat better off, about the same, somewhat worse off, or much worse off than you were a year ago?
Value Labels	-9. Refused -8. Don’t know 1. Much better off 2. Somewhat better off 3. About the same 4. Somewhat worse off 5. Much worse off
Universe	IF R IS NOT LIVING AT HOME WITH FAMILY MEMBERS / IF R IS LIVING AT HOME WITH 1 OR MORE FAMILY MEMBERS:
Survey Question(s)	DEM_FINRETRO
Response Order	Forward/Reverse order

V201503	PRE: R HOW MUCH BETTER OR WORSE OFF FINANCIALLY NEXT YEAR
Question	Now looking ahead, do you think that a year from now [you / you and your family living here] will be much better off financially, somewhat better off, about the same, somewhat worse off, or much worse off than now?
Value Labels	-9. Refused -8. Don’t know 1. Much better off 2. Somewhat better off 3. About the same, 4. Somewhat worse off 5. Much worse off
Universe	IF R IS NOT LIVING AT HOME WITH FAMILY MEMBERS / IF R IS LIVING AT HOME WITH 1 OR MORE FAMILY MEMBERS:
Survey Question(s)	DEM_FINPROSP
Response Order	Forward/Reverse order

V201504	RESTRICTED: PRE: BIRTHDATE: MONTH OF BIRTH
Question	What is the month, day and year of your birth? MONTH:
Value Labels	-3. Restricted
Survey Question(s)	DEM_BIRTHMO

V201505	RESTRICTED: PRE: BIRTHDATE: DAY OF BIRTH
Question	DAY:
Value Labels	-3. Restricted
Survey Question(s)	DEM_BIRTHDY

V201506	RESTRICTED: PRE: BIRTHDATE: YEAR OF BIRTH
Question	YEAR:
Value Labels	-3. Restricted
Survey Question(s)	DEM_BIRTHYR

V201507x	PRE: SUMMARY: RESPONDENT AGE
Value Labels	-9. Refused 80. Age 80 or older
Survey Question(s)	DEM_BIRTHMO, DEM_BIRTHDY, DEM_BIRTHYR

V201508	PRE: MARITAL STATUS
Question	Are you now married, widowed, divorced, separated or never married?
Value Labels	-9. Refused -8. Don’t know 1. Married: spouse present 2. Married: spouse absent {VOL - video/phone only} 3. Widowed 4. Divorced 5. Separated 6. Never married
Survey Question(s)	DEM_MARITAL
Interviewer Instruction	{IF RESPONDENT ANSWERS ‘MARRIED’ WITHOUT MENTIONING THAT SPOUSE IS ABSENT, CODE ‘MARRIED: SPOUSE PRESENT’. IF R INDICATES UNMARRIED PARTNER, REPEAT THE RESPONSE OPTIONS IN THE QUESTION TEXT.}

V201509	PRE: DOMESTIC PARTNERSHIP STATUS
Question	Are you currently living with a partner, or not?
Value Labels	-9. Refused -1. Inapplicable 1. Yes, living with a partner 2. No, not living with a partner
Universe	IF R MARITAL STATUS IS NEVER MARRIED, WIDOWED, DIVORCED OR SEPARATED:
Survey Question(s)	DEM_PARTN

V201510	PRE: HIGHEST LEVEL OF EDUCATION
Question	What is the highest level of school you have completed or the highest degree you have received?
Value Labels	-9. Refused -8. Don’t know 1. Less than high school credential 2. High school graduate - High school diploma or equivalent (e.g. GED) 3. Some college but no degree 4. Associate degree in college - occupational/vocational 5. Associate degree in college - academic 6. Bachelor’s degree (e.g. BA, AB, BS) 7. Master’s degree (e.g. MA, MS, MEng, MEd, MSW, MBA) 8. Professional school degree (e.g. MD, DDS, DVM, LLB, JD)/Doctoral degree (e.g. PHD, EDD) 95. Other {SPECIFY}
Survey Question(s)	DEM_EDUCR

V201510z	PRE: HIGHEST LEVEL OF EDUCATION - OTHER {SPECIFY}
Question	What is the highest level of school you have completed or the highest degree you have received?
Value Labels	-2. Open-end responses available in separate file
Survey Question(s)	DEM_EDUCR

V201511x	PRE: SUMMARY: RESPONDENT 5 CATEGORY LEVEL OF EDUCATION
Value Labels	-9. Refused -8. Don’t know -2. Missing, other specify not coded for preliminary release 1. Less than high school credential 2. High school credential 3. Some post-high school, no bachelor’s degree 4. Bachelor’s degree 5. Graduate degree
Survey Question(s)	DEM_EDUCR

V201512	PRE: R: DIPLOMA OR GED
Question	People can get a high school diploma in a variety of ways, such as graduating from high school or by getting a GED or other equivalent. How did you get your high school diploma?
Value Labels	-9. Refused -1. Inapplicable 1. Graduation from High School 2. GED or other equivalent
Universe	IF R’S HIGHEST EDUCATIONAL LEVEL IS DIPLOMA OR EQUIVALENT:
Survey Question(s)	DEM_DIPGED

V201513	PRE: SPOUSE PARTNER: HIGHEST LEVEL OF EDUCATION
Question	What is the highest level of school your [husband or wife / partner] has completed or the highest degree your [husband or wife / partner] has received?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Less than high school credential 2. High school graduate - High school diploma or equivalent (e.g. GED) 3. Some college but no degree 4. Associate degree in college - occupational/vocational or academic 5. Bachelor’s degree (e.g. BA, AB, BS) 6. Master’s degree (e.g. MA, MS, MEng, MEd, MSW, MBA) 7. Professional school degree (e.g. MD, DDS, DVM, LLB, JD)/Doctoral degree (e.g. PHD, EDD) 95. Other {SPECIFY}
Universe	IF R IS MARRIED/ IF R IS PARTNERED:
Survey Question(s)	DEM_EDUCSP

V201513z	RESTRICTED: PRE: SPOUSE PARTNER: HIGHEST LEVEL OF EDUCATION - OTHER {SPECIFY}
Question	What is the highest level of school your [husband or wife / partner] has completed or the highest degree your [husband or wife / partner] has received?
Value Labels	-3. Restricted
Universe	IF R IS MARRIED/ IF R IS PARTNERED:
Survey Question(s)	DEM_EDUCSP

V201514x	PRE: SUMMARY: RESPONDENT SPOUSE/PARTNER 5 CATEGORY LEVEL OF EDUCATION
Value Labels	-9. Refused -8. Don’t know -2. Missing, other specify not coded for preliminary release -1. Inapplicable 1. Less than high school credential 2. High school credential 3. Some post-high school, no bachelor’s degree 4. Bachelor’s degree 5. Graduate degree

V201515	PRE: SPOUSE: DIPLOMA OR GED
Question	How did your [husband or wife / partner] get their high school diploma?
Value Labels	-9. Refused -1. Inapplicable 1. Graduation from High School 2. GED or other equivalent
Universe	IF R IS MARRIED AND SPOUSE’S HIGHEST EDUCATIONAL LEVEL IS DIPLOMA OR EQUIVALENT / IF R IS PARTNERED AND PARTNER’S HIGHEST EDUCATIONAL LEVEL IS DIPLOMA OR EQUIVALENT:
Survey Question(s)	DEM_DIPGEDSP

V201516	PRE: ARMED FORCES ACTIVE DUTY
Question	Are you now serving on active duty in the U.S. armed forces - the U.S. Air Force, Army, Coast Guard, Marine Corps, or Nav - or have you previously served on active duty in the U.S. armed forces, or have you never served on active duty in the U.S. armed forces?
Value Labels	-9. Refused 1. Now serving on active duty 2. Previously served on active duty but not now on active duty 3. Have never served on active duty
Survey Question(s)	DEM_ACTIVDUTY

V201517	PRE: R WORKED FOR PAY LAST WEEK
Question	Last week, did you work for pay at a job or business?
Value Labels	-9. Refused 1. Yes 2. No, did not work (or retired)
Survey Question(s)	DEM_JOB30A

V201518	PRE: ANY WORK FOR PAY LAST WEEK
Question	Last week, did you do any work for pay, even for as little as one hour?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF INITIAL STATUS NOT WORKING NOW:
Survey Question(s)	DEM_JOB30B

V201519	PRE: R ON LAYOFF FROM A JOB LAST WEEK
Question	Last week, were you on layoff from a job?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF INITIAL STATUS NOT WORKING NOW / IF INITIAL STATUS NOT WORKING NOW CONFIRMED:
Survey Question(s)	DEM_JOB36A

V201520	PRE: R TEMPORARILY ABSENT FROM JOB LAST WEEK
Question	Last week, were you temporarily absent from a job or business? Reasons for temporary absence could include vacation, temporary illness, maternity leave or other family or personal reasons, bad weather, etc.
Value Labels	-9. Refused -1. Inapplicable 1. Yes, temporarily absent 2. No
Universe	IF INITIAL STATUS NOT WORKING NOW / IF INITIAL STATUS NOT WORKING NOW CONFIRMED / IF R NOT ON LAYOFF FROM JOB LAST WEEK:
Survey Question(s)	DEM_JOB36B

V201521	PRE: R HAS BEEN INFORMED ABOUT RETURNING TO WORK
Question	Have you been informed that you will be recalled to work within the next 6 months or been given a date to return to work?
Value Labels	-1. Inapplicable 1. Yes 2. No
Universe	IF INITIAL STATUS NOT WORKING NOW / IF INITIAL STATUS NOT WORKING NOW CONFIRMED / IF R IS ON LAYOFF FROM JOB LAST WEEK:
Survey Question(s)	DEM_JOB36C

V201522	PRE: R ACTIVELY LOOKING FOR WORK
Question	During the last 4 weeks, have you been actively looking for work?
Value Labels	-9. Refused -1. Inapplicable 1. Yes 2. No
Universe	IF INITIAL STATUS NOT WORKING NOW / IF INITIAL STATUS NOT WORKING NOW CONFIRMED / IF R IS ON LAYOFF FROM JOB LAST WEEK AND NOT GIVEN DATE TO RETURN TO WORK / IF R NOT ON LAYOFF FROM JOB LAST WEEK AND NOT TEMPORARILY ABSENT FROM JOB:
Survey Question(s)	DEM_JOB37

V201523	PRE: R COULD HAVE STARTED JOB OR RETURNED TO WORK LAST WEEK
Question	Last week, could you have started a job if offered one, or returned to work if recalled?
Value Labels	-1. Inapplicable 1. Yes, could have gone to work 2. No, could not have gone to work
Universe	IF INITIAL STATUS NOT WORKING NOW / IF INITIAL STATUS NOT WORKING NOW CONFIRMED / IF R IS ON LAYOFF FROM JOB LAST WEEK AND GIVEN DATE TO RETURN TO WORK / IF R IS ON LAYOFF FROM JOB LAST WEEK AND NOT GIVEN DATE TO RETURN TO WORK AND ACTIVELY LOOKING FOR WORK / IF R NOT ON LAYOFF FROM JOB LAST WEEK AND NOT TEMPORARILY ABSENT FROM JOB AND ACTIVELY LOOKING FOR WORK:
Survey Question(s)	DEM_JOB38

V201524	PRE: WHEN DID R LAST WORK
Question	When did you last work, even for a few days?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Within the past 12 months 2. 1 to 5 years ago 3. Over 5 years ago 4. Never worked
Universe	IF INITIAL STATUS NOT WORKING NOW / IF INITIAL STATUS NOT WORKING NOW CONFIRMED / IF R IS NOT ON LAYOFF FROM JOB AND TEMPORARILY ABSENT / IF R IS NOT ON LAYOFF FROM JOB LAST WEEK AND NOT TEMPORARILY ABSENT FROM JOB AND NOT ACTIVELY LOOKING FOR WORK / IF R IS NOT ON LAYOFF FROM JOB AND NOT TEMPORARILY ABSENT FROM JOB AND ACTIVELY LOOKING FOR WORK AND COULD OR COULD NOT HAVE WORKED LAST WEEK / IF R IS ON LAYOFF FROM JOB LAST WEEK AND GIVEN DATE TO RETURN TO WORK AND COULD OR COULD NOT HAVE WORKED LAST WEEK / IF R IS ON LAYOFF FROM JOB LAST WEEK AND NOT GIVEN DATE TO RETURN TO WORK AND ACTIVELY LOOKING FOR WORK AND COULD OR COULD NOT HAVE WORKED LAST WEEK / IF R IS ON LAYOFF FROM JOB LAST WEEK AND NOT GIVEN DATE TO RETURN TO WORK AND NOT ACTIVELY LOOKING FOR WORK:
Survey Question(s)	DEM_JOB39

V201525	PRE: DID R WORK EVERY WEEK PAST 12 MONTHS
Question	During the past 12 months, 52 weeks, did you work every week? Count paid vacation, paid sick leave, and military service as work.
Value Labels	-9. Refused -1. Inapplicable 1. Yes 2. No
Universe	IF INITIAL STATUS WORKING WORKING NOW / IF INITIAL STATUS NOT WORKING BUT R DETERMINED TO BE WORKING NOW / IF R WORKED AT ALL WITHIN PAST 12 MONTHS:
Survey Question(s)	DEM_JOB40A

V201526	PRE: HOW MANY WEEKS R WORKED PAST 12 MONTHS
Question	During the past 12 months, 52 weeks, how many weeks did you work? Include paid time off and include weeks when you only worked for a few hours.
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable
Universe	IF INITIAL STATUS WORKING WORKING NOW / IF INITIAL STATUS NOT WORKING BUT R DETERMINED TO BE WORKING NOW / IF R WORKED AT ALL IN PAST 12 MONTHS / IF R DID NOT WORK EVERY WEEK PAST 12 MONTHS:
Survey Question(s)	DEM_JOB40B

V201527	PRE: HOW MANY HOURS R WORKED PER WEEK
Question	During the past 12 months, in the weeks worked, how many hours did you usually work each week?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable
Universe	IF INITIAL STATUS WORKING WORKING NOW AND R WORKED EVERY WEEK IN PAST 12 MONTHS / IF INITIAL STATUS WORKING WORKING NOW AND R DID NOT WORK EVERY WEEK IN PAST 12 MONTHS AND R WORKED AT LEAST 1 WEEK / IF INITIAL STATUS NOT WORKING BUT R DETERMINED TO BE WORKING NOW AND WORKED EVERY WEEK IN PAST 12 MONTHS/ IF INITIAL STATUS NOT WORKING BUT R DETERMINED TO BE WORKING NOW AND AND R DID NOT EVERY WEEK IN PAST 12 MONTHS AND R WORKED AT LEAST 1 WEEK/ IF R WORKED AT ALL IN PAST 12 MONTHS AND R WORKED EVERY WEEK IN PAST 12 MONTHS / IF R WORKED AT ALL IN PAST 12 MONTHS AND R DID NOT WORK EVERY WEEK IN PAST 12 MONTHS AND R WORKED AT LEAST 1 WEEK:
Survey Question(s)	DEM_JOB41

V201528	PRE: HOURS WORKED PER WEEK PAST 12 MONTHS OK
Question	Is that more hours than you want to work, fewer hours than you want to work, or generally about right?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. More 2. Fewer 3. About right
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R DETERMINED TO BE WORKING NOW / IF NUMBER OF HOURS WORKED GREATER THAN ZERO:
Survey Question(s)	DEM_OKHRSNOW

V201529	PRE: DESCRIBE R’S EMPLOYMENT
Question	[The next series of questions is about the type of employment you have had last week. If you had more than one job, describe the one at which the most hours were worked./ Please describe your most recent employment.] Which one of the following best describes your employment?
Value Labels	-9. Refused -1. Inapplicable 1. For-profit company or organization 2. Non-profit organization (including tax-exempt and charitable organizations) 3. Local government (for example: city or county school district) 4. State government (including state colleges/universities) 5. Active duty U.S. Armed Forces or Commissioned Corps 6. Federal government civilian employee 7. Owner of non-incorporated business, professional practice, or farm 8. Owner of incorporated business, professional practice, or farm 9. Worked without pay in a for-profit family business or farm for 15 hours or more per week
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R DETERMINED TO BE WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT WORKED IN THE PAST:
Survey Question(s)	DEM_JOB42A

V201530	RESTRICTED: PRE: WHAT KIND OF BUSINESS/INDUSTRY
Question	What kind of business or industry was this? Include the main activity, product, or service provided at the location where employed. For example: elementary school, or residential construction.
Value Labels	-3. Restricted
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R DETERMINED TO BE WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT WORKED IN THE PAST:
Survey Question(s)	DEM_JOB42C

V201530y	RESTRICTED: PRE: WHAT KIND OF BUSINESS/INDUSTRY [CODED]
Question	What kind of business or industry was this? Include the main activity, product, or service provided at the location where employed. For example: elementary school, or residential construction.
Value Labels	-3. Restricted
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R DETERMINED TO BE WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT WORKED IN THE PAST:
Survey Question(s)	DEM_JOB42C

V201531	RESTRICTED: PRE: WHAT WAS R’S MAIN OCCUPATION
Question	What was your main occupation? For example, 4th grade teacher, entry-level plumber.
Value Labels	-3. Restricted
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R DETERMINED TO BE WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT WORKED IN THE PAST / IF INDUSTRY IS NOT DK/RF
Survey Question(s)	DEM_JOB42E

V201531y	RESTRICTED: PRE: WHAT WAS R’S MAIN OCCUPATION [CODED]
Question	What was your main occupation? For example, 4th grade teacher, entry-level plumber.
Value Labels	-3. Restricted
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R DETERMINED TO BE WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT WORKED IN THE PAST / IF INDUSTRY IS NOT DK/RF
Survey Question(s)	DEM_JOB42E

V201532	RESTRICTED: PRE: R’S MOST IMPORTANT ACTIVITIES OR DUTIES
Question	What were your most important activities or duties?
Value Labels	-3. Restricted
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R DETERMINED TO BE WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT WORKED IN THE PAST / IF INDUSTRY IS NOT DK/RF / IF MAIN OCCUPATION IS NOT DK/RF:
Survey Question(s)	DEM_JOB42F

V201533x

PRE: SUMMARY: R OCCUPATION STATUS 2 DIGIT

Value Labels

-2. Refused/Don’t know/Inapplicable 10. Working now only 15. Working now and retired, working >=20 hours per wk 16. Working now and perm. Disabled, working >=20 hours per wk 17. Working now and homemaker, working >=20 hours per wk 18. Working now and student, working >=20 hours per wk 20. Temporarily laid off 40. Unemployed, no mention of retired, disabled, homemaker or student 50. Retired, no other occupation 51. Retired and working now, working <20 hours per wk or DK/RF hours 60. Permanently disabled, not working 61. Perm disabled and working now, working <20 hours per wk or DK/RF hours 70. Homemaker, no other occupation 71. Homemaker and working now, working <20 hours per wk or DK/RF hours 80. Student, no other occupation 81. Student and working now, working <20 hours per wk or DK/RF hours

V201534x

PRE: SUMMARY: R OCCUPATION STATUS 1 DIGIT

Value Labels

-2. Refused/Don’t know/Inapplicable 1. R working now (if also retired, disabled, homemaker or student, working 20 or more hrs/wk) 2. R temporarily laid off 4. R unemployed 5. R retired (if also working, working <20 hrs/wk) 6. R permanently disabled (if also working, working <20 hrs/wk) 7. R homemaker (if also working, working <20 hrs/wk/incl nonworkg rs both homemaker and student) 8. R student (if also working, working <20 hrs/wk)

V201537a	PRE: R NON-WORKING STATUS - HOMEMAKER [MENTION]
Question	We’d like to know if you now consider yourself a homemaker, retired, permanently disabled, or a full time student. You may choose more than one, or none.
Value Labels	-9. Refused -8. Don’t know 0. Not mentioned 1. Mentioned
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R DETERMINED TO BE WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT WORKED IN THE PAST / IF INDUSTRY IS NOT DK/RF / IF MAIN OCCUPATION IS NOT DK/RF / IF MOST IMPORTANT ACTIVIES/DUTIES NOT DK/RF:
Survey Question(s)	DEM_STATUS

V201537b	PRE: R NON-WORKING STATUS - RETIRED [MENTION]
Question	We’d like to know if you now consider yourself a homemaker, retired, permanently disabled, or a full time student. You may choose more than one, or none.
Value Labels	-9. Refused -8. Don’t know 0. Not mentioned 1. Mentioned
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R DETERMINED TO BE WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT WORKED IN THE PAST / IF INDUSTRY IS NOT DK/RF / IF MAIN OCCUPATION IS NOT DK/RF / IF MOST IMPORTANT ACTIVIES/DUTIES NOT DK/RF:
Survey Question(s)	DEM_STATUS

V201537c	PRE: R NON-WORKING STATUS - PERMANENTLY DISABLED [MENTION]
Question	We’d like to know if you now consider yourself a homemaker, retired, permanently disabled, or a full time student. You may choose more than one, or none.
Value Labels	-9. Refused -8. Don’t know 0. Not mentioned 1. Mentioned
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R DETERMINED TO BE WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT WORKED IN THE PAST / IF INDUSTRY IS NOT DK/RF / IF MAIN OCCUPATION IS NOT DK/RF / IF MOST IMPORTANT ACTIVIES/DUTIES NOT DK/RF:
Survey Question(s)	DEM_STATUS

V201537d	PRE: R NON-WORKING STATUS - FULL TIME STUDENT [MENTION]
Question	We’d like to know if you now consider yourself a homemaker, retired, permanently disabled, or a full time student. You may choose more than one, or none.
Value Labels	-9. Refused -8. Don’t know 0. Not mentioned 1. Mentioned
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R DETERMINED TO BE WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT WORKED IN THE PAST / IF INDUSTRY IS NOT DK/RF / IF MAIN OCCUPATION IS NOT DK/RF / IF MOST IMPORTANT ACTIVIES/DUTIES NOT DK/RF:
Survey Question(s)	DEM_STATUS

V201537e	PRE: R NON-WORKING STATUS - NONE OF THESE [MENTION]
Question	We’d like to know if you now consider yourself a homemaker, retired, permanently disabled, or a full time student. You may choose more than one, or none.
Value Labels	-9. Refused -8. Don’t know 0. Not mentioned 1. Mentioned
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R DETERMINED TO BE WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT WORKED IN THE PAST / IF INDUSTRY IS NOT DK/RF / IF MAIN OCCUPATION IS NOT DK/RF / IF MOST IMPORTANT ACTIVIES/DUTIES NOT DK/RF:
Survey Question(s)	DEM_STATUS

V201538	PRE: INITIAL STATUS RETIREE - YEAR RETIRED
Question	What year did you retire? YEAR:
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. 1950-1999 2. 2000-2004 3. 2005-2009 4. 2010-2014 5. 2015-2020
Universe	IF R INITIAL STATUS RETIRED:
Survey Question(s)	DEM_RETIREYR

V201539	PRE: WORKING NOW: OUT OF WORK OR LAID OFF IN LAST 6 MONTHS
Question	Were you out of work or laid off at any time during the last six months?
Value Labels	-9. Refused -1. Inapplicable 1. Yes 2. No
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R IS DETERMINED TO BE CURRENTLY WORKING IF R IS TEMPORARILY ABSENT / IF R HAS WORKED IN PAST 12 MONTHS:
Survey Question(s)	DEM_OFFWORK

V201540	PRE: WORKING NOW: WORRY ABOUT LOSING JOB IN NEAR FUTURE
Question	How worried are you about losing your job in the near future?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Not at all 2. A little 3. Moderately 4. Very 5. Extremely
Variable Note	Due to a programming error, some respondents incorrectly were asked DEM_LOSEJOB and DEM_HRSREDUCE, or incorrectly were not asked these questions.
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R IS DETERMINED TO BE CURRENTLY WORKING / IF R ON LAYOFF FROM A JOB / IF R TEMPOARILY ABSENT FROM JOB:
Survey Question(s)	DEM_LOSEJOB
Response Order	Forward/Reverse order

V201541	PRE: WORKING NOW: HAD REDUCTION IN WORK HRS OR PAY CUT
Question	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?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Reduced hours or pay in the last 6 months 2. Neither reduced hours nor reduced pay in last 6 months
Variable Note	Due to a programming error, some respondents incorrectly were asked DEM_LOSEJOB and DEM_HRSREDUCE, or incorrectly were not asked these questions.
Universe	IF INITIAL STATUS IS WORKING NOW / IF INITIAL STATUS NOT WORKING NOW BUT R IS DETERMINED TO BE CURRENTLY WORKING / IF R ON LAYOFF FROM A JOB / IF R TEMPOARILY ABSENT FROM JOB:
Survey Question(s)	DEM_HRSREDUCE

V201542	PRE: SPOUSE/PARTNER WORKING STATUS
Question	We’d like to know about your [husband or wife / partner]. Is your [husband or wife / partner] working now, temporarily laid off, or is your [husband or wife /partner] unemployed, retired, permanently disabled, a homemaker, a student, or what?
Value Labels	-9. Refused -1. Inapplicable 1. Working now 2. Temporarily laid off 4. Unemployed 5. Retired 6. Permanently disabled 7. Homemaker 8. Student
Universe	IF R IS MARRIED/ IF R IS PARTNERED:
Survey Question(s)	DEM_EMPTYPESP
Interviewer Instruction	{ENTER ALL THAT APPLY}

V201543	RESTRICTED: PRE: SPOUSE/PARTNER JOB
Question	What is your [spouse’s/partner’s] main occupation? What kind of work does your [spouse/partner] do? What are the most important activities or duties?
Value Labels	-3. Restricted
Universe	IF R IS MARRIED/PARTNERED AND HAS MENTIONED SPOUSE/PARTNER IS WORKING:
Survey Question(s)	DEM_CSESJOBSP

V201544	PRE: ANYONE IN HH BELONG TO LABOR UNION
Question	Do you or anyone else in this household belong to a labor union or toan employee association similar to a union?
Value Labels	-9. Refused -8. Don’t know 1. Yes 2. No
Survey Question(s)	DEM_UNION

V201545	PRE: WHO IN HH BELONGS TO UNION
Question	Who is it that belongs?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Respondent 2. Spouse/partner 4. Someone else
Universe	IF SOMEONE IN HOUSEHOLD BELONGS TO LABOR UNION:
Survey Question(s)	DEM_UNIONWHO
Interviewer Instruction	{ENTER ALL THAT APPLY}

V201546	PRE: R: ARE YOU SPANISH, HISPANIC, OR LATINO
Question	Are you of Hispanic, Latino, or Spanish origin?
Value Labels	-9. Refused -8. Don’t know 1. Yes 2. No
Survey Question(s)	DEM_HISP

V201547a	RESTRICTED: PRE: RACE OF R: WHITE [MENTION]
Question	I am going to read you a list of five race categories. You may choose one or more races. For this survey, Hispanic origin is not a race. Are you White; Black or African American; American Indian or Alaska Native; Asian; or Native Hawaiian or Other Pacific Islander?
Value Labels	-3. Restricted
Survey Question(s)	DEM_RACECPS
Interviewer Instruction	{PROBE FOR RACE IF R SAYS HISPANIC OR A HISPANIC ORIGIN} {DO NOT ACCEPT “OTHER-SPECIFY” ANSWERS} {ENTER ALL THAT APPLY}

V201547b	RESTRICTED: PRE: RACE OF R: BLACK OR AFRICAN-AMERICAN [MENTION]
Question	I am going to read you a list of five race categories. You may choose one or more races. For this survey, Hispanic origin is not a race. Are you White; Black or African American; American Indian or Alaska Native; Asian; or Native Hawaiian or Other Pacific Islander?
Value Labels	-3. Restricted
Survey Question(s)	DEM_RACECPS
Interviewer Instruction	{PROBE FOR RACE IF R SAYS HISPANIC OR A HISPANIC ORIGIN} {DO NOT ACCEPT “OTHER-SPECIFY” ANSWERS} {ENTER ALL THAT APPLY}

V201547c	RESTRICTED: PRE: RACE OF R: ASIAN [MENTION]
Question	I am going to read you a list of five race categories. You may choose one or more races. For this survey, Hispanic origin is not a race. Are you White; Black or African American; American Indian or Alaska Native; Asian; or Native Hawaiian or Other Pacific Islander?
Value Labels	-3. Restricted
Survey Question(s)	DEM_RACECPS
Interviewer Instruction	{PROBE FOR RACE IF R SAYS HISPANIC OR A HISPANIC ORIGIN} {DO NOT ACCEPT “OTHER-SPECIFY” ANSWERS} {ENTER ALL THAT APPLY}

V201547d	RESTRICTED: PRE: RACE OF R: NATIVE HAWAIIAN OR PACIFIC ISLANDER [MENTION]
Question	I am going to read you a list of five race categories. You may choose one or more races. For this survey, Hispanic origin is not a race. Are you White; Black or African American; American Indian or Alaska Native; Asian; or Native Hawaiian or Other Pacific Islander?
Value Labels	-3. Restricted
Survey Question(s)	DEM_RACECPS
Interviewer Instruction	{PROBE FOR RACE IF R SAYS HISPANIC OR A HISPANIC ORIGIN} {DO NOT ACCEPT “OTHER-SPECIFY” ANSWERS} {ENTER ALL THAT APPLY}

V201547e	RESTRICTED: PRE: RACE OF R: NATIVE AMERICAN OR ALASKA NATIVE [MENTION]
Question	I am going to read you a list of five race categories. You may choose one or more races. For this survey, Hispanic origin is not a race. Are you White; Black or African American; American Indian or Alaska Native; Asian; or Native Hawaiian or Other Pacific Islander?
Value Labels	-3. Restricted
Survey Question(s)	DEM_RACECPS
Interviewer Instruction	{PROBE FOR RACE IF R SAYS HISPANIC OR A HISPANIC ORIGIN} {DO NOT ACCEPT “OTHER-SPECIFY” ANSWERS} {ENTER ALL THAT APPLY}

V201547z	RESTRICTED: PRE: RACE OF R: OTHER SPECIFY
Question	I am going to read you a list of five race categories. You may choose one or more races. For this survey, Hispanic origin is not a race. Are you White; Black or African American; American Indian or Alaska Native; Asian; or Native Hawaiian or Other Pacific Islander?
Value Labels	-3. Restricted
Survey Question(s)	DEM_RACECPS
Interviewer Instruction	{PROBE FOR RACE IF R SAYS HISPANIC OR A HISPANIC ORIGIN} {DO NOT ACCEPT “OTHER-SPECIFY” ANSWERS} {ENTER ALL THAT APPLY}

V201549x	PRE: SUMMARY: R SELF-IDENTIFIED RACE/ETHNICITY
Value Labels	-9. Refused -8. Don’t know 1. White, non-Hispanic 2. Black, non-Hispanic 3. Hispanic 4. Asian or Native Hawaiian/other Pacific Islander, non-Hispanic alone 5. Native American/Alaska Native or other race, non-Hispanic alone 6. Multiple races, non-Hispanic
Survey Question(s)	DEM_HISP, DEM_RACECPS

V201550	RESTRICTED: PRE: ETHNIC OR NATIONALITY GROUP
Question	What do you consider your main ethnic group or nationality group? For example: Italian, Jamaican, African American, Cambodian, Cape Verdean, Norwegian, Dominican, French Canadian, Haitian, Korean, Lebanese, Polish, Nigerian, Mexican, Taiwanese, Ukrainian, and so on.
Value Labels	-3. Restricted
Survey Question(s)	DEM_ETHNIC

V201551	PRE: IWR CHECKPOINT: NUMBER OF ETHNIC MENTIONS
Question	ENTER NUMBER OF ETHNIC GROUPS MENTIONED BY R:
Value Labels	-1. Inapplicable
Universe	IF MODE IS FTF:
Survey Question(s)	DEM_NUMETH
Interviewer Instruction	{IF UNSURE OF THE NUMBER OF MENTIONS, PLEASE CODE AS ‘MORE THAN ONE (TWO OR MORE)’.}

V201552	RESTRICTED: PRE: ETHNIC GROUP MOST CLOSE
Question	With which of these groups do you most closely identify?
Value Labels	-3. Restricted
Universe	IF R MENTIONED MORE THAN 1 NATIONALITY/ETHNIC GROUP:
Survey Question(s)	DEM_MOSTETH

V201553	PRE: NATIVE STATUS OF PARENTS
Question	Where were your parents born? Were they both born in the U.S., was only one born in the U.S., or were both born in another country?
Value Labels	-9. Refused -8. Don’t know 1. Both parents born in the US 2. One parent born in the US 3. Both parents born in another country
Survey Question(s)	DEM_PARENTS

V201554	PRE: RS: BORN US, PUERTO RICO, OR SOME OTHER COUNTRY
Question	In what state, country, or territory were you born?
Value Labels	-9. Refused 1. A US state or Washington D.C. 2. Puerto Rico 3. Another U.S. territory (Guam, Amer. Samoa, US Virgin Islands) 4. Another country {SPECIFY}
Survey Question(s)	DEM_BIRTHPLACE

V201554z	RESTRICTED: PRE: RS: BORN US, PUERTO RICO, OR SOME OTHER COUNTRY - OTHER {SPECIFY}
Question	In what state, country, or territory were you born?
Value Labels	-3. Restricted
Survey Question(s)	DEM_BIRTHPLACE

V201555	PRE: HOW MANY GRANDPARENTS BORN OUTSIDE THE US
Question	How many of your grandparents, if any, were born outside the U.S.?
Value Labels	-9. Refused -8. Don’t know 0. None 1. One 2. Two 3. Three 4. All
Survey Question(s)	DEM_GPAR

V201556	RESTRICTED: PRE: LATINO RS: COUNTRY OF LATINO HERITAGE REVISED
Question	Families of Hispanic or Latino background in the United States come from many different places. Which Spanish-speaking or Latin American country or territory doesmost of your family come from?
Value Labels	-3. Restricted
Universe	IF R IS HISPANIC:
Survey Question(s)	DEM_HISPCNTRYREV
Interviewer Instruction	{ENTER ALL THAT APPLY}

V201556z	RESTRICTED: PRE: LATINO RS: COUNTRY OF LATINO HERITAGE REVISED - OTHER {SPECIFY}
Question	Families of Hispanic or Latino background in the United States come from many different places. Which Spanish-speaking or Latin American country or territory doesmost of your family come from?
Value Labels	-3. Restricted
Universe	IF R IS HISPANIC:
Survey Question(s)	DEM_HISPCNTRYREV
Interviewer Instruction	{ENTER ALL THAT APPLY}

V201557	RESTRICTED: PRE: LATINO RS: MOST FAMILY FROM WHICH COUNTRY
Question	You said your family comes from [Response to DEM_HISPCNTRYREV]. Which one of these does most of your family come from?
Value Labels	-3. Restricted
Universe	IF R IS HISPANIC: IF MORE THAN 1 ANSWER OTHER THAN DK/RF GIVEN AS COUNTRIES OF ANCESTRY:
Survey Question(s)	DEM_HISPCNTRYMOST

V201558x	PRE: SUMMARY: HISPANIC SUMMARY
Value Labels	-9. Refused -8. Don’t know 1. Mexican 2. Puerto Rican 3. Other Hispanic or more than one mention 4. Hispanic, type not determined 7. Not Hispanic

V201559	PRE: LATINO RS: ANY MEXICAN ANCESTRY
Question	Do you or your family trace any of your ancestry to Mexico?
Value Labels	-1. Inapplicable 1. Yes 2. No
Universe	IF R IS HISPANIC: IF R MENTIONS HISPANIC ANCESTRY AS SPAIN, U.S. OR UNLISTED ‘OTHER’ COUNTRY:
Survey Question(s)	DEM_HISPMEX

V201560	RESTRICTED: PRE: WHEN DID R (NON-US BORN) ARRIVE IN US
Question	When did you first arrive to live in the U.S. mainland?
Value Labels	-3. Restricted
Universe	IF R WAS NOT BORN IN THE U.S.:
Survey Question(s)	DEM_HISPARR
Interviewer Instruction	{RECORD 4-DIGIT YEAR 1910-^electn_year}

V201561	RESTRICTED: PRE: IN WHAT YEAR DID R (NON-US BORN) BECOME A US CITIZEN
Question	In what year did you become a naturalized U.S. citizen?
Value Labels	-3. Restricted
Universe	IF R WAS NOT BORN IN THE U.S., PUERTO RICO, OR U.S. TERRITORY:
Survey Question(s)	DEM_HISPCIT
Interviewer Instruction	{RECORD 4-DIGIT YEAR 1910-^electn_year OR: CODE 7777. BORN OUTSIDE THE U.S. BUT BORN A U.S. CITIZEN {VOL}}

V201562	PRE: LATINO RS: LANGUAGE AT HOME
Question	What language do you primarily speak at home with your family? Is it only English, mostly English, both languages equally, mostly Spanish, or only Spanish?
Value Labels	-9. Refused -1. Inapplicable 1. Only English 2. Mostly English 3. Both languages equally 4. Mostly Spanish 5. Only Spanish
Universe	IF R INDICATES SELF AS SPANISH, HISPANIC, OR LATINO:
Survey Question(s)	DEM_HISPLANG

V201563	PRE: R SPOUSE HISPANIC ORIGIN
Question	Is your [spouse / partner / most recent former spouse] of Hispanic, Latino, or Spanish origin?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF R IS MARRIED, R IS PARTNERED, R IS WIDOWED, DIVORCED, OR SEPARATED:
Survey Question(s)	DEM_HISPSP

V201564a	RESTRICTED: PRE: R SPOUSE/PARTNER RACE: WHITE [MENTION]
Question	Is your [spouse / partner / most recent former spouse] White; Black or African American; American Indian or Alaska Native; Asian; or Native Hawaiian or Other Pacific Islander?
Value Labels	-3. Restricted
Universe	IF R IS MARRIED, R IS PARTNERED, R IS WIDOWED, DIVORCED, OR SEPARATED:
Survey Question(s)	DEM_RACECPSSP
Interviewer Instruction	{PROBE FOR RACE IF R SAYS HISPANIC OR A HISPANIC ORIGIN} {DO NOT ACCEPOTHER-SPECIFY” ANSWERS} {ENTER ALL THAT APPLY}“

V201564b	RESTRICTED: PRE: R SPOUSE/PARTNER RACE: BLACK OR AFRICAN-AMERICAN [MENTION]
Question	Is your [spouse / partner / most recent former spouse] White; Black or African American; American Indian or Alaska Native; Asian; or Native Hawaiian or Other Pacific Islander?
Value Labels	-3. Restricted
Universe	IF R IS MARRIED, R IS PARTNERED, R IS WIDOWED, DIVORCED, OR SEPARATED:
Survey Question(s)	DEM_RACECPSSP
Interviewer Instruction	{PROBE FOR RACE IF R SAYS HISPANIC OR A HISPANIC ORIGIN} {DO NOT ACCEPOTHER-SPECIFY” ANSWERS} {ENTER ALL THAT APPLY}“

V201564c	RESTRICTED: PRE: R SPOUSE/PARTNER RACE: ASIAN [MENTION]
Question	Is your [spouse / partner / most recent former spouse] White; Black or African American; American Indian or Alaska Native; Asian; or Native Hawaiian or Other Pacific Islander?
Value Labels	-3. Restricted
Universe	IF R IS MARRIED, R IS PARTNERED, R IS WIDOWED, DIVORCED, OR SEPARATED:
Survey Question(s)	DEM_RACECPSSP
Interviewer Instruction	{PROBE FOR RACE IF R SAYS HISPANIC OR A HISPANIC ORIGIN} {DO NOT ACCEPOTHER-SPECIFY” ANSWERS} {ENTER ALL THAT APPLY}“

V201564d	RESTRICTED: PRE: R SPOUSE/PARTNER RACE: NATIVE HAWIIAN OR PACIFIC ISLANDER [MENTION]
Question	Is your [spouse / partner / most recent former spouse] White; Black or African American; American Indian or Alaska Native; Asian; or Native Hawaiian or Other Pacific Islander?
Value Labels	-3. Restricted
Universe	IF R IS MARRIED, R IS PARTNERED, R IS WIDOWED, DIVORCED, OR SEPARATED:
Survey Question(s)	DEM_RACECPSSP
Interviewer Instruction	{PROBE FOR RACE IF R SAYS HISPANIC OR A HISPANIC ORIGIN} {DO NOT ACCEPOTHER-SPECIFY” ANSWERS} {ENTER ALL THAT APPLY}“

V201564e	RESTRICTED: PRE: R SPOUSE/PARTNER RACE: NATIVE AMERICAN OR ALASKA NATIVE [MENTION]
Question	Is your [spouse / partner / most recent former spouse] White; Black or African American; American Indian or Alaska Native; Asian; or Native Hawaiian or Other Pacific Islander?
Value Labels	-3. Restricted
Universe	IF R IS MARRIED, R IS PARTNERED, R IS WIDOWED, DIVORCED, OR SEPARATED:
Survey Question(s)	DEM_RACECPSSP
Interviewer Instruction	{PROBE FOR RACE IF R SAYS HISPANIC OR A HISPANIC ORIGIN} {DO NOT ACCEPOTHER-SPECIFY” ANSWERS} {ENTER ALL THAT APPLY}“

V201565x	PRE: SUMMARY: R SPOUSE OR PARTNER RACE/ETHNICITY
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. White, non-Hispanic 2. Black, non-Hispanic 3. Hispanic 4. Asian, Native Hawaiian/other Pacific Islander, Native American/Alaska Native or multiple races, non-Hispanic
Survey Question(s)	DEM_HISPSP, DEM_RACECPSSP

V201566	PRE: R SPOUSE/PARTNER GENDER
Question	What is the gender of your [spouse / partner / most recent former spouse]?
Value Labels	-9. Refused -1. Inapplicable 1. Male 2. Female 3. Something else
Universe	IF R IS MARRIED, R IS PARTNERED, R IS WIDOWED, DIVORCED, OR SEPARATED:
Survey Question(s)	DEM_GENDSP

V201567	PRE: HOW MANY CHILDREN IN HH AGE 0-17
Question	How many children or teenagers age 0 to 17 live in this household?
Value Labels	-9. Refused 0. No children 1. One child 2. Two children 3. Three children 4. Four or more children
Survey Question(s)	DEM2_HHCHILD

V201568a	PRE: CHILDREN’S SCHOOL ENROLLMENT: PUBLIC SCHOOL
Question	[Are the children / Is the child] in your householdenrolled in public school, private religious school, private non-religious school, or home school, or not in school?
Value Labels	-9. Refused -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF THERE ARE MORE THAN 1 CHILD AGE 17 OR YOUNGER IN HOUSEHOLD / IF THERE IS 1 CHILD AGE 17 OR YOUNGER IN HOUSEHOLD:
Survey Question(s)	DEM2_SCHENRL
Interviewer Instruction	{ENTER ALL THAT APPLY}

V201568b	PRE: CHILDREN’S SCHOOL ENROLLMENT: PRIVATE RELIGIOUS SCHOOL
Question	[Are the children / Is the child] in your householdenrolled in public school, private religious school, private non-religious school, or home school, or not in school?
Value Labels	-9. Refused -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF THERE ARE MORE THAN 1 CHILD AGE 17 OR YOUNGER IN HOUSEHOLD / IF THERE IS 1 CHILD AGE 17 OR YOUNGER IN HOUSEHOLD:
Survey Question(s)	DEM2_SCHENRL
Interviewer Instruction	{ENTER ALL THAT APPLY}

V201568c	PRE: CHILDREN’S SCHOOL ENROLLMENT: PRIVATE NON-RELIGIOUS SCHOOL
Question	[Are the children / Is the child] in your householdenrolled in public school, private religious school, private non-religious school, or home school, or not in school?
Value Labels	-9. Refused -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF THERE ARE MORE THAN 1 CHILD AGE 17 OR YOUNGER IN HOUSEHOLD / IF THERE IS 1 CHILD AGE 17 OR YOUNGER IN HOUSEHOLD:
Survey Question(s)	DEM2_SCHENRL
Interviewer Instruction	{ENTER ALL THAT APPLY}

V201568d	PRE: CHILDREN’S SCHOOL ENROLLMENT: HOME SCHOOL
Question	[Are the children / Is the child] in your householdenrolled in public school, private religious school, private non-religious school, or home school, or not in school?
Value Labels	-9. Refused -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF THERE ARE MORE THAN 1 CHILD AGE 17 OR YOUNGER IN HOUSEHOLD / IF THERE IS 1 CHILD AGE 17 OR YOUNGER IN HOUSEHOLD:
Survey Question(s)	DEM2_SCHENRL
Interviewer Instruction	{ENTER ALL THAT APPLY}

V201568e	PRE: CHILDREN’S SCHOOL ENROLLMENT: NOT ENROLLED IN SCHOOL
Question	[Are the children / Is the child] in your householdenrolled in public school, private religious school, private non-religious school, or home school, or not in school?
Value Labels	-9. Refused -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF THERE ARE MORE THAN 1 CHILD AGE 17 OR YOUNGER IN HOUSEHOLD / IF THERE IS 1 CHILD AGE 17 OR YOUNGER IN HOUSEHOLD:
Survey Question(s)	DEM2_SCHENRL
Interviewer Instruction	{ENTER ALL THAT APPLY}

V201569	PRE: DOES R USE INTERNET AT HOME
Question	[Do you / Does anyone in this household, including you,] use the Internet at home? This includes accessing the Internet with a cell phone, computer, tablet, or other device.
Value Labels	-9. Refused 1. Yes 2. No
Universe	IF R IS ONLY HOUSEHOLD MEMBER / IF R IS NOT ONLY HOUSEHOLD MEMBER :
Survey Question(s)	DEM2_INETHOME

V201570	PRE: DOES R USE INTERNET AT ANY OTHER LOCATION
Question	[Do you / Does anyone in this household, including you,] use the Internet at any other location?
Value Labels	-8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF NO INTERNET IN THE HOME IF R IS ONLY HOUSEHOLD MEMBER / IF R IS NOT ONLY HOUSEHOLD MEMBER:
Survey Question(s)	DEM2_INETANY

V201571	PRE: IS THERE A WORKING HH LANDLINE PHONE
Question	Is there at least one telephone inside your home that is currently working and is not a cell phone?
Value Labels	-9. Refused 1. Yes 2. No
Survey Question(s)	DEM2_PHLAND

V201572	PRE: DOES R PERSONALLY HAVE A CELL PHONE [REVISED]
Question	Do you have a working cell phone?
Value Labels	-9. Refused 1. Yes 2. No
Survey Question(s)	DEM2_CELLPERS

V201573	PRE: DOES R LIVE WITH ANYONE WHO HAS A CELL PHONE
Question	Do you live with anyone at your home who has a working cell phone?
Value Labels	-1. Inapplicable 1. Yes 2. No
Universe	IF R DOES NOT HAVE A WORKING CELL PHONE AND R IS NOT THE ONLY HOUSEHOLD MEMBER:
Survey Question(s)	DEM2_PHCELLHH

V201574	PRE: R OR ANYONE IN HH HAS CELL PHONE WITH INTERNET CONNECTION
Question	[Do you / Does anyone in this household, including you,] have a cell phone that will run apps and connect to the Internet, like an iPhone or Android?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Yes 2. No
Universe	IF R HAS A CELL PHONE OR ANYONE IN THE HOUSE HAS A CELL PHONE IF R IS ONLY HOUSEHOLD MEMBER / IF R IS NOT ONLY HOUSEHOLD MEMBER:
Survey Question(s)	DEM2_PHINTERNET

V201575	PRE: WHERE R GREW UP
Question	In what state, country, or territory did you mainly grow up?
Value Labels	-9. Refused -8. Don’t know 1. Alabama  2. Alaska  4. Arizona 5. Arkansas  6. California  8. Colorado 9. Connecticut  10. Delaware 11. District of Columbia (Washington DC) 12. Florida  13. Georgia   15. Hawaii 16. Idaho   17. Illinois   18. Indiana 19. Iowa   20. Kansas   21. Kentucky 22. Louisiana   23. Maine   24. Maryland 25. Massachusetts   26. Michigan   27. Minnesota 28. Mississippi   29. Missouri   30. Montana 31. Nebraska   32. Nevada   33. New Hampshire 34. New Jersey   35. New Mexico   36. New York 37. North Carolina   38. North Dakota   39. Ohio 40. Oklahoma   41. Oregon   42. Pennsylvania 44. Rhode Island   45. South Carolina   46. South Dakota 47. Tennessee   48. Texas   49. Utah 50. Vermont   51. Virginia   53. Washington 54. West Virginia   55. Wisconsin   56. Wyoming 57. Puerto Rico   58. Another U.S. territory (Guam, Samoa, U.S. Virgin Islands) 59. Another country {SPECIFY}
Survey Question(s)	DEM3_GREWUP

V201575z	RESTRICTED: PRE: WHERE R GREW UP - OTHER {SPECIFY}
Question	In what state, country, or territory did you mainly grow up?
Value Labels	-3. Restricted
Survey Question(s)	DEM3_GREWUP

V201576	PRE: HOW LONG LIVED IN THIS COMMUNITY YRS
Question	How long have you lived in your present community? YEARS:
Value Labels	-9. Refused -8. Don’t know 40. Forty or more years
Survey Question(s)	DEM3_CITYYR
Interviewer Instruction	{ENTER YEARS, THEN MONTHS. ENTER YEARS 0-100. ENTER 0 IF ANSWER WAS GIVEN IN MONTHS ONLY. IF R SAYS ‘ALL MY LIFE’ ASK: How many years?}

V201577	RESTRICTED: PRE: HOW LONG LIVED IN THIS COMMUNITY MONTHS
Question	MONTHS:
Value Labels	-3. Restricted
Survey Question(s)	DEM3_CITYMON
Interviewer Instruction	{ENTER 0 IF ANSWER GIVEN IN YEARS ONLY. DO NOT ENTER MONTHS ONLY IF TIME PERIOD MORE THAN 24 MONTHS}

V201579	RESTRICTED: PRE: ZIP CODE OF PREVIOUS RESIDENCE
Question	What was the zip code where you previously lived?
Value Labels	-3. Restricted
Universe	IF R HAS LIVED IN CURRENT COMMUNITY LESS THAN 2 YEARS:
Survey Question(s)	DEM3_PREVZIP
Interviewer Instruction	ENTER 00000 FOR ‘NONE’

V201580	RESTRICTED: PRE: CITY STATE OF PREVIOUS RESIDENCE
Question	What was the city and state where you previously lived?
Value Labels	-3. Restricted
Universe	IF R HAS LIVED IN CURRENT COMMUNITY LESS THAN 2 YEARS: IF R DOES NOT KNOW/RF THE ZIP CODE OF WHERE PREVIOUSLY LIVED:
Survey Question(s)	DEM3_PREVCTY

V201581	PRE: VERSION 1A HOME TENURE
Question	Do you pay rent for your home, make monthly mortgage payments for your home, own your home outright with no payments due, or have some otherliving arrangement?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Pay rent 2. Pay mortgage 3. Own home with no payments due 4. Some other arrangement
Universe	IF R SELECTED FOR VERSION 1A OF VERSION 1A / VERSION 1B SPLICE:
Survey Question(s)	DEM3_HOME

V201582	PRE: VERSION 1B HOME TENURE CPS
Question	Are your living quarters owned or being bought by a household member, rented for cash, or occupied without payment of cash rent?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Owned or being bought by a household member 2. Rented for cash 3. Occupied without payment of cash rent
Universe	IF R SELECTED FOR 1B OF VERSION 1A / VERSION 1B SPLICE:
Survey Question(s)	DEM3_HOMECPS

V201583	PRE: HOME TENURE CPS OWNERSHIP
Question	Does your household make monthly mortgage payments for your home, or is the home owned outright with no payments due?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Pay mortgage 2. Own home with no payments due
Universe	IF R’S HOME OWNED OR BEING BOUGHT BY HOUSEHOLD MEMBER:
Survey Question(s)	DEM3_HOMECPSOWN

V201584	PRE: R NAME EVER CHANGED
Question	Has your name ever changed [for example, because you got married] or have you never changed your first or last name?
Value Labels	-9. Refused -8. Don’t know 1. Have changed name 2. Never changed name
Universe	IF R IS NOT FEMALE/ IF R IS FEMALE:
Survey Question(s)	DEM3_NAMECH

V201585	RESTRICTED: PRE: YEAR OF MOST RECENT CHANGE
Question	What year did you most recently change your name?
Value Labels	-3. Restricted
Universe	IF R HAS CHANGED NAME:
Survey Question(s)	DEM3_NAMECHYR

V201586	PRE: USE OF ALTERNATE NAMES
Question	Have you ever gone by an alternative or different name?
Value Labels	-9. Refused -8. Don’t know 1. Yes 2. No
Survey Question(s)	DEM3_ALTNAME

V201587	PRE: YEARS R LIVED AT ADDRESS
Question	How many years have you lived at this address?
Value Labels	-9. Refused 40. Forty or more years
Survey Question(s)	DEM3_LENADDR
Interviewer Instruction	{IWR INSTRUCTION: IF LESS THAN ONE YEAR OR LESS THAN 12 MONTHS, ENTER 0.}

V201588	RESTRICTED: PRE: WHERE DID R LIVE FIVE YEARS AGO
Question	Where did you live five years ago? Please tell me the city, state, and ZIP code if you remember it.
Value Labels	-3. Restricted
Universe	IF R HAS LIVED AT CURRENT ADDRESS LESS THAN 5 YEARS:
Survey Question(s)	DEM3_ADD5YR

V201589	PRE: DOES R HAVE NON-EXPIRED DRIVER’S LICENSE
Question	Do you have a non-expired Driver’s License, or do you not have one?
Value Labels	-9. Refused -8. Don’t know 1. Have a non-expired driver’s license 2. Do not have one
Survey Question(s)	DEM3_DRIVLIC

V201590	PRE: DOES R HAVE NON-EXPIRED U.S. PASSPORT
Question	Do you now have a non-expired U.S. passport, or do you not have one?
Value Labels	-9. Refused -8. Don’t know 1. Have a valid US passport 2. Do not have one
Survey Question(s)	DEM3_PASSPORT

V201591	PRE: DOES R HAVE OTHER FORM OF NON-EXPIRED GOVERNMENT ID
Question	Do you have any form of non-expired, government issued photo ID, such as a state ID card or military ID?
Value Labels	-9. Refused -1. Inapplicable 1. Have another form of ID 2. Do not have one
Universe	IF R DOES NOT HAVE NONEXPIRED DRIVERS LICENSE: IF R DOES NOT HAVE NONEXPIRED PASSPORT:
Survey Question(s)	DEM3_OTHGOVTID

V201592	PRE: PUT OFF CHECKUP AND VACCINES
Question	We are interested in finding out whether or not people are getting regular check ups and vaccinations as well as treatment for illness and injury. During the past 12 months, have you or anyone living here put off getting this kind of health care because of the cost, or has no one living here put off getting this kind of health care because of the cost?
Value Labels	-9. Refused -8. Don’t know 1. Someone has put off health care 2. No one has put off health care
Survey Question(s)	ECPERIL_PUTOFFMED

V201593	PRE: HOW LIKELY R ABLE TO PAY ALL HEALTH CARE COSTS IN NEXT 12 MONTHS
Question	During the next 12 months, how likely is it that you will be able to pay for all of your health care costs?
Value Labels	-9. Refused -8. Don’t know 1. Extremely likely 2. Very likely 3. Moderately likely 4. Slightly likely 5. Not likely at all
Survey Question(s)	ECPERIL_PAYHLTHCST
Response Order	Forward/Reverse order

V201594	PRE: HOW WORRIED IS R ABOUT CURRENT FINANCIAL SITUATION
Question	So far as you and your family are concerned, how worried are you about your current financial situation?
Value Labels	-9. Refused -8. Don’t know 1. Extremely worried 2. Very worried 3. Moderately worried 4. A little worried 5. Not at all worried
Survey Question(s)	ECPERIL_WORRYFIN
Response Order	Forward/Reverse order

V201595	PRE: HOW LIKELY R ABLE TO MAKE ALL HOUSING PAYMENTS IN NEXT 12 MONTHS
Question	During the next 12 months, how likely is it that you will be able to make all of your [rent/mortgage] payments on time?
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Extremely likely 2. Very likely 3. Moderately likely 4. Slightly likely 5. Not likely at all
Universe	IF R PAYS RENT/ IF R OWNS HIS OR HER HOME AND PAYS A MORTGAGE:
Survey Question(s)	ECPERIL_PAYHOUSE
Response Order	Forward/Reverse order

V201596	PRE: ANYONE LOST JOBS
Question	During the past 12 months, has anyone in your family or a close personal friend lost a job, or has no one in your family and no close personal friend lost a job in the past 12 months?
Value Labels	-9. Refused -8. Don’t know 1. Someone lost a job 2. No one lost a job
Survey Question(s)	ECPERIL_LOSTJOBS

V201600	PRE: WHAT IS YOUR (R) SEX? [REVISED]
Question	What is your sex?
Value Labels	-9. Refused 1. Male 2. Female
Survey Question(s)	SELFGEND_GENDTYP

V201601	PRE: SEXUAL ORIENTATION OF R [REVISED]
Question	Do you consider yourself to be heterosexual or straight, homosexual or gay [or lesbian], or bisexual?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Heterosexual or straight 2. Homosexual or gay (or lesbian) 3. Bisexual 4. Something else {SPECIFY}
Universe	IF R IS NOT FEMALE / IF R IS FEMALE:
Survey Question(s)	ORIENTN_RGAY

V201601z	PRE: SEXUAL ORIENTATION OF R [REVISED] - OTHER {SPECIFY}
Question	Do you consider yourself to be heterosexual or straight, homosexual or gay [or lesbian], or bisexual?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R IS NOT FEMALE / IF R IS FEMALE:
Survey Question(s)	ORIENTN_RGAY

V201602	PRE: JUSTIFIED TO USE VIOLENCE
Question	On another topic: How much do you feel it is justified for people to use violence to pursue their political goals in this country?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Not at all 2. A little 3. A moderate amount 4. A lot 5. A great deal
Survey Question(s)	POLVIOL_JUSTIFIED
Response Order	Forward/Reverse order

V201603	PRE: POLITICAL VIOLENCE COMPARED TO 4 YEARS AGO
Question	Compared to four years ago, do you think violence used to pursue political goals in the United States has:
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Increased 2. Decreased 3. Stayed the same
Survey Question(s)	POLVIOL_VIOLENCE

V201604	PRE: POLITICAL VIOLENCE COMPARED TO 4 YEARS AGO (STRENGTH)
Question	Has it [increased/decreased] a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Survey Question(s)	POLVIOL_VIOLENCESTR
Response Order	Forward/Reverse order

V201605x	PRE: SUMMARY: POLITICAL VIOLENCE COMPARED TO 4 YRS AGO
Value Labels	-5. Interview breakoff (sufficient partial IW) -2. DK/RF in V201603 or V201604 1. Increased a great deal 2. Increased a moderate amount 3. Increased a little 4. Stayed the same 5. Decreased a little 6. Decreased a moderate amount 7. Decreased a great deal

V201606	PRE: MONEY INVESTED IN STOCK MARKET
Question	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?
Value Labels	-9. Refused -8. Don’t know -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	WEALTH_STOCKS

V201607	RESTRICTED: PRE: TOTAL INCOME AMOUNT - REVISED
Question	The next question is about [the total combined income of all members of your family / your total income] during the past 12 months. This includes money from jobs, net income from business, farm or rent, pensions, dividends, interest, Social Security payments, and any other money income received by members of your family who are 15 years of age or older. What was the total income of your family during the past 12 months? TYPE THE NUMBER. YOUR BEST GUESS IS FINE.
Value Labels	-3. Restricted
Universe	IF R IS NOT ONLY MEMBER OF R’S FAMILY IN RESIDENCE IN R’S HOUSEHOLD / IF R IS ONLY MEMBER OF R’S FAMILY IN RESIDENCE IN HOUSEHOLD:
Survey Question(s)	INC_TOTINC

V201608	RESTRICTED: PRE: INCOME AMT MISSING - GE OR LT 40K
Question	Was it $40,000 or more, or less than that?
Value Labels	-3. Restricted
Universe	IF TOTAL INCOME NUMBER SKIPPED TWICE (IMPLIED REFUSALS):
Survey Question(s)	INC_TOTMISS40

V201609	RESTRICTED: PRE: INCOME AMT MISSING - GE OR LT 20K
Question	Was it $20,000 or more, or less than that?
Value Labels	-3. Restricted
Universe	IF TOTAL INCOME NUMBER SKIPPED TWICE (IMPLIED REFUSALS): IF R INDICATED INCOME LESS THAN $40,000:
Survey Question(s)	INC_TOTMISS20

V201610	RESTRICTED: PRE: INCOME AMT MISSING - CATEGORIES LT 20K
Question	Please choose the answer that includes the income of all members of your family during the past 12 months before taxes.
Value Labels	-3. Restricted
Universe	IF TOTAL INCOME NUMBER SKIPPED TWICE (IMPLIED REFUSALS): IF R INDICATED INCOME LESS THAN $40,000: IF R INDICATED INCOME LESS THAN $20,000:
Survey Question(s)	INC_TOTL20

V201611	RESTRICTED: PRE: INCOME AMT MISSING - CATEGORIES 20-40K
Question	Please choose the answer that includes the income of all members of your family during the past 12 months before taxes.
Value Labels	-3. Restricted
Universe	IF TOTAL INCOME NUMBER SKIPPED TWICE (IMPLIED REFUSALS): IF R INDICATED INCOME LESS THAN $40,000: IF R INDICATED INCOME $20,000 OR MORE:
Survey Question(s)	INC_TOTG20L40

V201612	RESTRICTED: PRE: INCOME AMT MISSING - GE OR LT 70K
Question	Was it $70,000 or more, or less than that?
Value Labels	-3. Restricted
Universe	IF TOTAL INCOME NUMBER SKIPPED TWICE (IMPLIED REFUSALS): IF R INDICATED INCOME $40,000 OR MORE:
Survey Question(s)	INC_TOTMISS70

V201613	RESTRICTED: PRE: INCOME AMT MISSING - CATEGORIES 40-70K
Question	Please choose the answer that includes the income of all members of your family during the past 12 months before taxes.
Value Labels	-3. Restricted
Universe	IF TOTAL INCOME NUMBER SKIPPED TWICE (IMPLIED REFUSALS): IF R INDICATED INCOME $40,000 OR MORE: IF R INDICATED INCOME LESS THAN $70,000:
Survey Question(s)	INC_TOTG40L70

V201614	RESTRICTED: PRE: INCOME AMT MISSING - GE OR LT 100K
Question	Was it $100,000 or more, or less than that?
Value Labels	-3. Restricted
Universe	IF TOTAL INCOME NUMBER SKIPPED TWICE (IMPLIED REFUSALS): IF R INDICATED INCOME $40,000 OR MORE: IF R INDICATED INCOME $70,000 OR MORE:
Survey Question(s)	INC_TOTMISS100

V201615	RESTRICTED: PRE: INCOME AMT MISSING - CATEGORIES 70-100K
Question	Please choose the answer that includes the income of all members of your family during the past 12 months before taxes.
Value Labels	-3. Restricted
Universe	IF TOTAL INCOME NUMBER SKIPPED TWICE (IMPLIED REFUSALS): IF R INDICATED INCOME $40,000 OR MORE: IF R INDICATED INCOME $70,000 OR MORE: IF R INDICATED INCOME LESS THAN $100,000:
Survey Question(s)	INC_TOTG70L100

V201616	RESTRICTED: PRE: INCOME AMT MISSING - CATEGORIES 100+K
Question	Please choose the answer that includes the income of all members of your family during the past 12 months before taxes.
Value Labels	-3. Restricted
Universe	IF TOTAL INCOME NUMBER SKIPPED TWICE (IMPLIED REFUSALS): IF R INDICATED INCOME $40,000 OR MORE: IF R INDICATED INCOME $70,000 OR MORE: IF R INDICATED INCOME $100,000 OR MORE:
Survey Question(s)	INC_TOTG100

V201617x	PRE: SUMMARY: TOTAL (FAMILY) INCOME
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Under $9,999 2. $10,000-14,999 3. $15,000-19,999 4. $20,000-24,999 5. $25,000-29,999 6. $30,000-34,999 7. $35,000-39,999 8. $40,000-44,999 9. $45,000-49,999 10. $50,000-59,999 11. $60,000-64,999 12. $65,000-69,999 13. $70,000-74,999 14. $75,000-79,999 15. $80,000-89,999 16. $90,000-99,999 17. $100,000-109,999 18. $110,000-124,999 19. $125,000-149,999 20. $150,000-174,999 21. $175,000-249,999 22. $250,000 or more
Survey Question(s)	INC_TOTINC, INC_TOTL20, INC_TOTG20L40, INC_TOTG40L70, INC_TOTG70L100, INC_TOTG100

V201618	PRE: TROUBLE CONCENTRATING IN PAST WEEK
Question	On another topic: In the past week, how often have you had trouble keeping your mind on what you were doing?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. All the time 2. Often 3. Sometimes 4. Rarely 5. Never
Survey Question(s)	MENTALHLTH_TRBLCONC
Response Order	Forward/Reverse order

V201619	PRE: RESTLESS SLEEP IN PAST WEEK
Question	In the past week, how often has your sleep been restless?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. All the time 2. Often 3. Sometimes 4. Rarely 5. Never
Survey Question(s)	MENTALHLTH_SLEEP
Response Order	Forward/Reverse order

V201620	PRE: DOES R HAVE HEALTH INSURANCE
Question	Do you presently have any kind of health insurance?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	HLTH_HAVEHINS

V201621	PRE: R CONCERNED ABOUT LOSING HEALTH INSURANCE
Question	How concerned are you about losing your health insurance in the next year?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Not at all concerned 2. A little concerned 3. Moderately concerned 4. Very concerned 5. Extremely concerned
Universe	IF R HAS HEALTH INSURANCE:
Survey Question(s)	HLTH_LOSEINS
Response Order	Forward/Reverse order

V201622	PRE: R CONCERNED ABOUT PAYING FOR HEALTH CARE
Question	How concerned are you about being able to pay health care expenses for you and your family in the next year?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Not at all concerned 2. A little concerned 3. Moderately concerned 4. Very concerned 5. Extremely concerned
Survey Question(s)	HLTH_COSTHLTH
Response Order	Forward/Reverse order

V201623	PRE: HEALTH OF R
Question	Would you say that in general your health is excellent, very good,good, fair, or poor?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Excellent 2. Very Good 3. Good 4. Fair 5. Poor
Survey Question(s)	HLTH_RHEALTH
Response Order	Forward/Reverse order

V201624	PRE: ANYONE IN HOUSEHOLD TESTED POS FOR COVID-19
Question	Has anyone in your household tested positive for the coronavirus disease, COVID-19, or has no one tested positive?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Someone in my household tested positive 2. No one tested positive
Survey Question(s)	HLTH_COVIDPOS

V201625	PRE: ANYONE IN HOUSEHOLD COVID-19 BASED ON SYMPTOMS
Question	Has anyone in your household been suspected of having COVID-19 based on their symptoms, or not?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Suspected of having COVID-19 2. No one has been suspected of having COVID-19
Survey Question(s)	HLTH_COVIDSYM

V201626	PRE: NEED TO BE MORE SENSITIVE TALKING OR PEOPLE TOO EASILY OFFENDED
Question	Some people think that the way people talk needs to change with the times to be more sensitive to people from different backgrounds. Others think that this has already gone too far and many people are just too easily offended. Which is closer to your opinion?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. The way people talk needs to change a lot 2. The way people talk needs to change a little 3. People are a little too easily offended 4. People are much too easily offended
Survey Question(s)	POLCORRECT_CHGOFFEND

V201627	PRE: HOW OFTEN SELF CENSOR
Question	How often do you stop yourself from saying something because you think someone might call you a racist, a sexist, or otherwise a bad person?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Never 2. Rarely 3. Occasionally 4. Fairly often 5. Very often
Survey Question(s)	POLCORRECT_SELFCENSOR

V201628	PRE: HOW MANY GUNS OWNED
Question	How many guns do you or anyone else living here own? Type the number.
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW)
Survey Question(s)	OWNGUN_GUNNUM

V201629a	PRE: MEDIA SOURCES R USED TO FOLLOW PRESIDENTIAL CAMPAIGN: TV PROGRAMS
Question	From which of the following sources have you heard anything about the presidential campaign? Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Survey Question(s)	MEDSRC_CAMPSRCS

V201629b	PRE: MEDIA SOURCES R USED TO FOLLOW PRESIDENTIAL CAMPAIGN: NEWSPAPERS
Question	From which of the following sources have you heard anything about the presidential campaign? Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Survey Question(s)	MEDSRC_CAMPSRCS

V201629c	PRE: MEDIA SOURCES R USED TO FOLLOW PRESIDENTIAL CAMPAIGN: INTERNET SITES
Question	From which of the following sources have you heard anything about the presidential campaign? Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Survey Question(s)	MEDSRC_CAMPSRCS

V201629d	PRE: MEDIA SOURCES R USED TO FOLLOW PRESIDENTIAL CAMPAIGN: RADIO NEWS
Question	From which of the following sources have you heard anything about the presidential campaign? Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Survey Question(s)	MEDSRC_CAMPSRCS

V201629e	PRE: MEDIA SOURCES R USED TO FOLLOW PRESIDENTIAL CAMPAIGN: NONE
Question	From which of the following sources have you heard anything about the presidential campaign? Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Survey Question(s)	MEDSRC_CAMPSRCS

V201630a	PRE: MENTION: TV PROG - THE LATE SHOW WITH STEPHEN COLBERT
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630b	PRE: MENTION: TV PROG - HANNITY (FOX)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630c	PRE: MENTION: TV PROG - TUCKER CARLSON TONIGHT (FOX)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630d	PRE: MENTION: TV PROG - THE RACHEL MADDOW SHOW (MSNBC)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630e	PRE: MENTION: TV PROG - THE LAST WORD WITH LAWRENCE O’DONNELL (MSNBC)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630f	PRE: MENTION: TV PROG - THE FIVE (FOX)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630g	PRE: MENTION: TV PROG - THE INGRAHAM ANGLE (FOX)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630h	PRE: MENTION: TV PROG - THE STORY WITH MARTHA MACCALLUM (FOX)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630i	PRE: MENTION: TV PROG - THE LEAD WITH JAKE TAPPER (CNN)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630j	PRE: MENTION: TV PROG - ANDERSON COOPER 360 (CNN)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630k	PRE: MENTION: TV PROG - SPECIAL REPORT WITH BRET BAIER (FOX)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630m	PRE: MENTION: TV PROG - CBS EVENING NEWS WITH NORAH O’DONNELL
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630n	PRE: MENTION: TV PROG - ABC WORLD NEWS TONIGHT
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630p	PRE: MENTION: TV PROG - NBC NIGHTLY NEWS WITH LESTER HOLT
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630q	PRE: MENTION: TV PROG - CUOMO PRIME TIME (CNN)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630r	PRE: MENTION: TV PROG - NCIS (CBS)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201630s	PRE: MENTION: TV PROG - NONE OF THE ABOVE [FIRST SCREEN]
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS1
Randomization	Order of TV show names

V201631a	PRE: MENTION: TV PROG - AMERICAN IDOL (ABC)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631b	PRE: MENTION: TV PROG - ERIN BURNETT OUTFRONT (CNN)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631c	PRE: MENTION: TV PROG - 60 MINUTES (CBS)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631d	PRE: MENTION: TV PROG - 20/20 (ABC)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631e	PRE: MENTION: TV PROG - DATELINE NBC
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631f	PRE: MENTION: TV PROG - FACE THE NATION (CBS)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631g	PRE: MENTION: TV PROG - MEET THE PRESS (NBC)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631h	PRE: MENTION: TV PROG - CBS THIS MORNING
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631i	PRE: MENTION: TV PROG - GOOD MORNING AMERICA (ABC)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631j	PRE: MENTION: TV PROG - TODAY (NBC)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631k	PRE: MENTION: TV PROG - FOX & FRIENDS (FOX)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631m	PRE: MENTION: TV PROG - MORNING JOE (MSNBC)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631n	PRE: MENTION: TV PROG - ALL IN WITH CHRIS HAYES (MSNBC)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631p	PRE: MENTION: TV PROG - THE 11TH HOUR WITH BRIAN WILLIAMS (MSNBC)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631q	PRE: MENTION: TV PROG - PBS NEWSHOUR
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631r	PRE: MENTION: TV PROG - SATURDAY NIGHT LIVE (NBC)
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201631s	PRE: MENTION: TV PROG - NONE OF THE ABOVE [SECOND SCREEN]
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S):
Survey Question(s)	MEDSRC_TVPROGS2
Randomization	Order of TV show names

V201632a	PRE: MENTION: TV PROG - AL PUNTO
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632b	PRE: MENTION: TV PROG - AL ROJO VIVO
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632c	PRE: MENTION: TV PROG - AMOR ETERNO
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632d	PRE: MENTION: TV PROG - AQUI Y AHORA
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632e	PRE: MENTION: TV PROG - CRONICAS DE SABADO
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632f	PRE: MENTION: TV PROG - DESPIERTA AMERICA
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632g	PRE: MENTION: TV PROG - ENFOQUE
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632h	PRE: MENTION: TV PROG - HOY
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632i	PRE: MENTION: TV PROG - LO MEJOR DE CASO CERRADO
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632j	PRE: MENTION: TV PROG - NOTICIERO ESTRELLA TV
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632k	PRE: MENTION: TV PROG - NOTICIERO TELEMUNDO
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632m	PRE: MENTION: TV PROG - NOTICIERO UNIVISION
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632n	PRE: MENTION: TV PROG - UN NUEVO DIA
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632p	PRE: MENTION: TV PROG - PRIMER IMPACTO
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632q	PRE: MENTION: TV PROG - QUE NOCHE! CON ANGELICA Y RAUL
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632r	PRE: MENTION: TV PROG - EL SENOR DE LOS CIELOS
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201632s	PRE: MENTION: TV PROG - NONE OF THE ABOVE [THIRD SCREEN]
Question	Which of the following television programs do you watch regularly? Please check any that you watch at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF HEARD ABOUT PRES CAMPAIGN ON TV NEWS/TALK/PUBLIC AFFAIRS/ NEWS ANALYSIS PROG(S): IF R IS HISPANIC:
Survey Question(s)	MEDSRC_TVPROGS4
Randomization	Order of TV show names

V201633a	PRE: MENTION: RADIO PROG - RUSH LIMBAUGH
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633b	PRE: MENTION: RADIO PROG - THE SEAN HANNITY SHOW
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633c	PRE: MENTION: RADIO PROG - MARKETPLACE (NPR)
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633d	PRE: MENTION: RADIO PROG - ALL THINGS CONSIDERED (NPR)
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633e	PRE: MENTION: RADIO PROG - THE DAVE RAMSEY SHOW
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633f	PRE: MENTION: RADIO PROG - MORNING EDITION (NPR)
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633g	PRE: MENTION: RADIO PROG - THE MARK LEVIN SHOW
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633h	PRE: MENTION: RADIO PROG - THE GLENN BECK PROGRAM
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633i	PRE: MENTION: RADIO PROG - THE MIKE GALLAGHER SHOW
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633j	PRE: MENTION: RADIO PROG - THE HUGH HEWITT SHOW
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633k	PRE: MENTION: RADIO PROG - THE SAVAGE NATION (MICHAEL SAVAGE)
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633m	PRE: MENTION: RADIO PROG - THE DANA SHOW
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633n	PRE: MENTION: RADIO PROG - THE THOM HARTMANN PROGRAM
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633p	PRE: MENTION: RADIO PROG - THE JIM BOHANNON SHOW
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633q	PRE: MENTION: RADIO PROG - FRESH AIR (NPR)
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201633r	PRE: MENTION: RADIO PROG - NONE OF THE ABOVE
Question	Which of the following radio programs do you listen to regularly? Please check any that you listen to at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON RADIO NEWS OR RADIO TALK PROGRAM(S):
Survey Question(s)	MEDSRC_RADPROGS
Randomization	Order of radio program names

V201634a	PRE: MENTION: WEBSITE - YAHOO NEWS (WWW.YAHOO.COM/NEWS)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634b	PRE: MENTION: WEBSITE - CNN.COM
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634c	PRE: MENTION: WEBSITE - HUFFINGTON POST (WWW.HUFFINGTONPOST.COM)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634d	PRE: MENTION: WEBSITE - NEW YORK TIMES (NYTIMES.COM)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634e	PRE: MENTION: WEBSITE - BREITBART NEWS NETWORK (BREITBART.COM)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634f	PRE: MENTION: WEBSITE - FOX NEWS (WWW.FOXNEWS.COM)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634g	PRE: MENTION: WEBSITE - WASHINGTON POST (WASHINGTONPOST.COM)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634h	PRE: MENTION: WEBSITE - THE GUARDIAN (THEGUARDIAN.COM)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634i	PRE: MENTION: WEBSITE - USA TODAY (USATODAY.COM)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634j	PRE: MENTION: WEBSITE - BBC NEWS (NEWS.BBC.CO.UK)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634k	PRE: MENTION: WEBSITE - NPR NEWS (NPR.ORG)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634m	PRE: MENTION: WEBSITE - DAILY CALLER (DAILYCALLER.COM)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634n	PRE: MENTION: WEBSITE - BLOOMBERG (BLOOMBERG.COM)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634p	PRE: MENTION: WEBSITE - BUZZFEED (BUZZFEED.COM)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634q	PRE: MENTION: WEBSITE - NBC NEWS (WWW.NBCNEWS.COM)
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634r	PRE: MENTION: WEBSITE - OTHER {SPECIFY}
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201634s	PRE: MENTION: WEBSITE - NONE
Question	Which of the following websites do you visit regularly? Please check any that you visit at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN ON INTERNET SITE(S), CHAT ROOM(S), OR BLOG(S):
Survey Question(s)	MEDSRC_WEBSITES
Randomization	Order of website names

V201635a	PRE: MENTION: PRINTED NEWSPAPER - THE NEW YORK TIMES
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201635b	PRE: MENTION: PRINTED NEWSPAPER - USA TODAY
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201635c	PRE: MENTION: PRINTED NEWSPAPER - THE WALL STREET JOURNAL
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201635d	PRE: MENTION: PRINTED NEWSPAPER - THE WASHINGTON POST
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201635e	RESTRICTED: PRE: MENTION: PRINTED NEWSPAPER - PRINTED NEWSPAPER [5]
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-3. Restricted
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201635f	RESTRICTED: PRE: MENTION: PRINTED NEWSPAPER - PRINTED NEWSPAPER [6]
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-3. Restricted
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201635g	RESTRICTED: PRE: MENTION: PRINTED NEWSPAPER - PRINTED NEWSPAPER [7]
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-3. Restricted
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201635h	RESTRICTED: PRE: MENTION: PRINTED NEWSPAPER - PRINTED NEWSPAPER [8]
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-3. Restricted
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201635i	RESTRICTED: PRE: MENTION: PRINTED NEWSPAPER - PRINTED NEWSPAPER [9]
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-3. Restricted
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201635j	RESTRICTED: PRE: MENTION: PRINTED NEWSPAPER - PRINTED NEWS PAPER [OTHER]
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-3. Restricted
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201635k	PRE: MENTION: PRINTED NEWSPAPER - NO PRINTED NEWSPAPER
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201636a	PRE: MENTION: ONLINE NEWSPAPER - WWW.NYTIMES.COM (NEW YORK TIMES)
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201636b	PRE: MENTION: ONLINE NEWSPAPER - WWW.USATODAY.COM (USA TODAY)
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201636c	PRE: MENTION: ONLINE NEWSPAPER - ONLINE.WSJ.COM (WALL STREET JOURNAL)
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201636d	PRE: MENTION: ONLINE NEWSPAPER - WWW.WASHINGTONPOST.COM (WASH POST)
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201636e	RESTRICTED: PRE: MENTION: ONLINE NEWSPAPER - ONLINE NEWSPAPER [5]
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-3. Restricted
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201636f	RESTRICTED: PRE: MENTION: ONLINE NEWSPAPER - ONLINE NEWSPAPER [6]
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-3. Restricted
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201636g	RESTRICTED: PRE: MENTION: ONLINE NEWSPAPER - ONLINE NEWSPAPER [7]
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-3. Restricted
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201636h	RESTRICTED: PRE: MENTION: ONLINE NEWSPAPER - ONLINE NEWSPAPER [8]
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-3. Restricted
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201636i	RESTRICTED: PRE: MENTION: ONLINE NEWSPAPER - ONLINE NEWSPAPER [9]
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-3. Restricted
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201636j	RESTRICTED: PRE: MENTION: ONLINE NEWSPAPER - ONLINE NEWSPAPER [OTHER]
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-3. Restricted
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201636k	PRE: MENTION: ONLINE NEWSPAPER - NO ONLINE NEWSPAPER
Question	Which of the following newspapers do you read online or in print regularly? Please check any that you read at least once a month. Mark all that apply
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HEARD ABOUT PRES CAMPAIGN IN NEWSPAPERS:
Survey Question(s)	MEDSRC_PRINTNEWS
Randomization	Order of newspapers
Response Order	Rand exc last

V201637x	PRE: SUMMARY- NUMBER OF ADDITIONAL PRELOADED NEWSPAPERS
Value Labels	0. No additional preload newspapers 1. One additional preload newspapers 2. Two addtional preload newspapers 3. Three additional preload newspapers 4. Four additional preload newspapers 5. Five additional preload newspapers

V201639	PRE: WOMEN INTERPRET INNOCENT REMARKS AS SEXIST
Question	‘Many women interpret innocent remarks or acts as being sexist.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	GENDRES_INNOCENT
Response Order	Forward/Reverse order

V201640	PRE: WOMEN SEEK TO GAIN POWER BY GETTING CONTROL OVER MEN
Question	‘Women seek to gain power by getting control over men.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	GENDRES_CONTROL
Response Order	Forward/Reverse order

V201641	PRE: POLITICAL KNOWLEDGE INTRO
Question	We are interested in the guesses people make when they do not know the answer to a question. We will ask you several questions. Some may be easy, but others are meant to be so difficult that you will have to guess.
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -4. Technical error 1. I promise to try my best without looking up any answers 2. I do not want to make that promise 3. {CONTINUE} - video/phone only
Survey Question(s)	PREKNOW_COMMIT

V201642	PRE: POLITICAL KNOWLEDGE CATCH QUESTION
Question	In what year did the Supreme Court of the United States decide Geer v. Connecticut? Type the year.
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1896 (correct)
Survey Question(s)	PREKNOW_CATCH

V201643	PRE: POLITICAL KNOWLEDGE CATCH QUESTION FEEDBACK
Question	You are right! Did you look up the answer to that question, or did you already know it yourself?
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. I looked it up 2. I already knew it
Universe	IF R ANSWERED PREKNOW_CATCH CORRECTLY (CATCH=1896):
Survey Question(s)	PREKNOW_FEEDBACK1

V201644	PRE: HOW MANY YEARS IN FULL TERM FOR US SENATOR
Question	For how many years is a United States Senator elected - that is, how many years are there in one full term of office for a U.S. Senator? Type the number.
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW)
Survey Question(s)	PREKNOW_SENTERM

V201645	PRE: ON WHICH PROGRAM DOES FEDERAL GOVERNMENT SPEND THE LEAST
Question	On which of the following does the U.S. federal government currently spend the least?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Foreign aid (correct) 2. Medicare 3. National defense 4. Social Security
Survey Question(s)	PREKNOW_LEASTSP
Randomization	Order of responses
Response Order	Randomized order

V201646	PRE: PARTY WITH MOST MEMBERS IN HOUSE BEFORE ELECTION
Question	Do you happen to know which party currently has the most members in the U.S. House of Representatives in Washington?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Democrats (correct) 2. Republicans
Survey Question(s)	PREKNOW_HSEMEM

V201647	PRE: PARTY WITH MOST MEMBERS IN SENATE BEFORE ELECTION
Question	Do you happen to know which party currently has the most members in the U.S. Senate?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Democrats 2. Republicans (correct)
Survey Question(s)	PREKNOW_SENMEM

V201648	PRE: EASE OF ONLINE ACCESS
Question	How easy was it for you to get access to a computer with an internet connection to take this survey? Was it not at all easy, a little easy,moderately easy, very easy, or extremely easy?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Not at all easy 2. A little easy 3. Moderately easy 4. Very easy 5. Extremely easy
Universe	IF MODE IS WEB / IF TYPE IS VIDEO:
Survey Question(s)	IW_ONLINE
Response Order	Forward/Reverse order

V201649	PRE: R RATING OF INTERVIEW
Question	How would you rate this interview for the American National Election Studies?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Liked a great deal 2. Liked a moderate amount 3. Liked a little 4. Neither liked nor disliked 5. Disliked a little 6. Disliked a moderate amount 7. Disliked a great deal
Survey Question(s)	IW_RATE
Response Order	Forward/Reverse order

V201650	PRE: HOW OFTEN TOOK SURVEY SERIOUSLY
Question	We sometimes find people don’t always take surveys seriously, instead providing funny or insincere answers. How often did you give a serious response to the questions on this survey?
Value Labels	-9. Refused -5. Interview breakoff (sufficient partial IW) 1. Never serious 2. Some of the time serious 3. About half of the time serious 4. Most of the time serious 5. Always serious
Survey Question(s)	IW_SERIOUS

V201651	PRE: HOW SATISFIED IS R WITH LIFE
Question	All things considered, how satisfied are you with your life as a whole these days?Would you say that you are extremely satisfied, very satisfied, moderately satisfied, slightly satisfied, or not satisfied at all?
Value Labels	-9. Refused -8. Don’t know -5. Interview breakoff (sufficient partial IW) 1. Extremely satisfied 2. Very satisfied 3. Moderately satisfied 4. Slightly satisfied 5. Not satisfied at all
Survey Question(s)	HAPP_LIFESATISF
Response Order	Forward/Reverse order

V201652	PRE: WEB ONLY: ANY R COMMENTS
Question	Please share any comments you have. We welcome your feedback. Click Next to complete the survey.
Value Labels	-2. Open-end responses available in separate file
Universe	IF MODE IS WEB:
Survey Question(s)	ENDWEB_COMMT

V201653	PRE: IWR OBS: RESPONDENT’S COOPERATION
Question	Thank you, we’re almost done. I just need to enter some information before we can continue. R’s cooperation was:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Very good 2. Good 3. Fair 4. Poor 5. Very poor
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_COOP

V201654	PRE: IWR OBS: RESPONDENT’S LEVEL OF INFORMATION
Question	R’s general level of information about politics and publicaffairs seemed:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Very high 2. Fairly high 3. Average 4. Fairly low 5. Very low
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_LEVINF

V201655	PRE: IWR OBS: RESPONDENT’S INTELLIGENCE
Question	R’s apparent intelligence:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Very high 2. Fairly high 3. Average 4. Fairly low 5. Very low
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_INTELL

V201656	PRE: IWR OBS: RESPONDENT’S INTEREST IN INTERVIEW
Question	Overall, how great was R’s interest in the interview?
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Very high 2. Fairly high 3. Average 4. Fairly low 5. Very low
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_INTIW

V201657	PRE: IWR OBS: RESPONDENT’S HONESTY
Question	How honest did R seem to be in his or her answers?
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Completely honest 2. Usually honest 3. Often seemed to be dishonest
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_HONEST

V201658a	PRE: IWR OBS: R REACTIONS TO INTERVIEW - NEGATIVE (GENERAL)
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

V201658b	PRE: IWR OBS: R REACTIONS TO INTERVIEW - NEGATIVE (TOO LONG)
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

V201658c	PRE: IWR OBS: R REACTIONS TO INTERVIEW - NEGATIVE (TOO COMPLICATED)
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

V201658d	PRE: IWR OBS: R REACTIONS TO INTERVIEW - NEGATIVE (BORING/TEDIOUS/REPETITIOUS)
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

V201658e	PRE: IWR OBS: R REACTIONS TO INTERVIEW - R WANTED TO STOP BEFORE INTERVIEW COMPLETE
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

V201658f	PRE: IWR OBS: R REACTIONS TO INTERVIEW - R WAS ILL/DEEAF/TIRED/HAD BAD EYESIGHT
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

V201658g	PRE: IWR OBS: R REACTIONS TO INTERVIEW - R EXPRESSED LACK OF KNOWLEDGE
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

V201658h	PRE: IWR OBS: R REACTIONS TO INTERVIEW - R STRESSED/AGITATED BY INTERVIEW PROCESS
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

V201658i	PRE: IWR OBS: R REACTIONS TO INTERVIEW - R BECAME ANGRY AT INTERVIEW CONTENT
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

V201658j	PRE: IWR OBS: R REACTIONS TO INTERVIEW - R CONCERNED WITH SAMPLING PURPOSE/BIAS
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

V201658k	PRE: IWR OBS: R REACTIONS TO INTERVIEW - R COULD NOT READ RESPONDENT BOOKLET
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

V201658m	PRE: IWR OBS: R REACTIONS TO INTERVIEW - R APPEARED TO ENJOY INTERVIEW
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

V201658n	PRE: IWR OBS: R REACTIONS TO INTERVIEW - NEUTRAL OR NO FEEDBACK
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

V201658p	PRE: IWR OBS: R REACTIONS TO INTERVIEW - R HAD DIFFICULTY WITH SELECTED LANGUAGE
Question	R’s reaction to interview:
Value Labels	-5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPRE_REACT
Interviewer Instruction	ENTER ALL THAT APPLY

POST‐ELECTION SURVEY VARIABLES

V202001	POST: R SELECT LANGUAGE
Question	Would you like to complete this survey in English or Spanish? ¿Quisiera completar esta encuesta en inglés o español?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. English / ingles 2. Spanish / espanol
Survey Question(s)	STARTPO_LANGUAGESELECTPO

V202002a	POST: DOES R HAVE PARTICIPANT BOOKLET FOR PHONE IW
Question	We mailed you a booklet. It was enclosed with the letter inviting you to participate. It says “Post-Election Participant Booklet” on the cover. We need to use that booklet during the interview. Do you have it now?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. R has booklet (paper or emailed) 2. R does not have paper or email booklet
Universe	IF INTERVIEW TYPE IS PHONE:
Survey Question(s)	BOOKLETPO_PHONE
Interviewer Instruction	{IF NECESSARY: You might find it easier if I email the booklet to you now. IF NECESSARY: ASK EMAIL ADDRESS AND SEND BOOKLET.}

V202002b	POST: CAN R SEE PARTICIPANT BOOKLET FOR VIDEO IW
Question	For some of the questions, I’ll share my screen and show you a card with all the answer categories listed. This will help you choose the best answer because you won’t have to try to remember all the choices as I read them. Can you see the “Post-Election Participant Booklet” now?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. R sees booklet on screen or PDF {TURN OFF SCREEN SHARING} 2. R does not see booklet on screen or PDF {TURN OFF SCREEN SHARING}
Universe	IF INTERVIEW TYPE IS VIDEO:
Survey Question(s)	BOOKLETPO_VIDEO
Interviewer Instruction	{IF NECESSARY: You might find it easier if I email the booklet to you now. IF NECESSARY: ASK EMAIL ADDRESS AND SEND BOOKLET.}

INTRO POST-ELECTION SURVEY

[IF SELF-ADMINISTERED] Welcome back to the American National Election Studies for the second of two surveys. As you may remember, this research study is sponsored by Stanford University and the University of Michigan. Your participation is voluntary and you may decline to answer any questions you do not want to answer. The survey usually takes about 70 minutes. Your answers will be combined with other participants’ answers to make a data file that will be shared with other researchers and used for future research. Your individual privacy will be maintained in all published and written data from the study.
If you are not satisfied with how this study is being conducted, or if you have any concerns, complaints, or general questions about the research or your rights as a participant, please contact the Stanford Institutional Review Board (IRB) to speak to someone independent of the research team at 650-723-2480 or email [email protected]. You can also write to the Stanford IRB, Stanford University, 1705 El Camino Real, Palo Alto, CA 94306.
Please click Next to continue.


[IF INTERVIEWER-ADMINISTERED] Welcome back to the American National Election Studies for the second of two surveys.
As you may remember, when we invited you to participate we sent a page called “Answers to Questions about the Study.” That explained this is a voluntary research study and the interview takes about an hour. If you did not see that “Answers to Questions” document, you can look at it now before we begin, or I can answer any questions now.

V202003	POST: AUDIO RECORDING CONSENT
Question	This interview may be monitored for training and data quality purposes.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Continue
Universe	IF INTERVIEW TYPE IS VIDEO:
Survey Question(s)	CONSENTPO_AUDCONS

V202004	POST: DID PARTY CONTACT R ABOUT CAMPAIGN
Question	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?
Value Labels	-8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes 2. No
Universe	IF R SELECTED FOR VERSION 1A OF VERSION 1A / VERSION 1B SPLICE:
Survey Question(s)	MOBILPO_PTYMOB
Randomization	Selection for question administered, MOBILPO_PTYMOB or MOBILPO_PTYMOBREV (Rand var randint_ptymob: 1=PTYMOB, 2=PTYMOBREV)

V202005	POST: DID PARTY CONTACT R ABOUT 2020 CAMPAIGN [REVISED]
Question	As you know, the political parties try to talk to as many people as they can to get them to vote for their candidate. Has anyone from one of the political parties called you up or come around and talked to you about the 2020 campaign, or has no one from the political parties talked to you?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Someone from the political parties talked to me about the 2020 campaign 2. No one from the political parties talked to me about the 2020 campaign
Universe	IF R SELECTED FOR VERSION 1B OF VERSION 1A / VERSION 1B SPLICE:
Survey Question(s)	MOBILPO_PTYMOBREV
Randomization	Selection for question administered, MOBILPO_PTYMOB or MOBILPO_PTYMOBREV (Rand var randint_ptymob: 1=PTYMOB, 2=PTYMOBREV)

V202006	POST: WHICH PARTY CONTACTED R ABOUT CAMPAIGN
Question	Which party was that?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Democrats 2. Republicans 3. Both {VOL} 5. Other {SPECIFY}
Universe	IF SOMEONE FROM POLITICAL PARTY CONTACTED R ABOUT CAMPAIGN:
Survey Question(s)	MOBILPO_WHPTYMOB

V202007	POST: SOMEONE NOT FROM TWO MAJOR PARTIES CONTACT R ABOUT SUPPORTING CANDIDATES
Question	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?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes 2. No
Survey Question(s)	MOBILPO_OTHMOB

V202008	POST: ANYONE TALK TO R ABOUT REGISTERING OR GETTING OUT TO VOTE
Question	During the campaign this year, did anyone talk to you about registering to vote or getting out to vote?
Value Labels	-8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes, someone did 2. No, no one did
Survey Question(s)	MOBILPO_MOBREG

V202009	POST: R TALK TO ANYONE ABOUT VOTING FOR OR AGAINST A PARTY OR CANDIDATE
Question	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?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes 2. No
Survey Question(s)	MOBILPO_RMOB

V202010	POST: WEB ONLY: RMOB SPEEDING INTERVENTION - GENTLE PROMPT
Question	You seem to have responded very quickly. Please be sure you have given the question sufficient thought to provide an accurate answer. Do you want to go back and reconsider your answer?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes, go back 2. No, continue
Universe	IF R DESIGNATED FOR GENTLE PROMPT / IF R DESIGNATED FOR FAST THRESHOLD AND RMOB ANSWERED IN < 8 SECONDS / IF R DESIGNATED FOR SLOW THRESHOLD AND RMOB ANSWERED IN < 18.2 SECONDS:
Survey Question(s)	MOBILPO_RMOB2

V202011	POST: WEB ONLY: RMOB SPEEDING INTERVENTION - REDISPLAY RMOB
Question	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?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes 2. No
Universe	IF R DECIDES TO RECONSIDER ANSWER:
Survey Question(s)	MOBILPO_RMOB3

V202012	POST: WEB ONLY: RMOB SPEEDING INTERVENTION - PEREMPTORY PROMPT
Question	You seem to have responded very quickly. Please be sure you have given the question sufficient thought to provide an accurate answer. 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?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes 2. No
Universe	IF R DESIGNATED FOR PEREMPTORY PROMPT / IF R DESIGNATED FOR FAST THRESHOLD AND RMOB ANSWERED IN < 8 SECONDS / IF R DESIGNATED FOR SLOW THRESHOLD AND RMOB ANSWERED IN < 18.2 SECONDS:
Survey Question(s)	MOBILPO_RMOB4

V202013	POST: R ATTEND ONLINE POLITICAL MEETINGS, RALLIES, SPEECHES, FUNDRAISERS
Question	Did you participate in any online political meetings, rallies, speeches, fundraisers, or things like that in support of a particular candidate?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes 2. No
Survey Question(s)	MOBILPO_RRALLYONLINE

V202014	POST: R GO TO ANY POLITICAL MEETINGS, RALLIES, SPEECHES, DINNERS
Question	Did you go to any political meetings, rallies, speeches, dinners, or things like that in support of a particular candidate?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes 2. No
Survey Question(s)	MOBILPO_RRALLY

V202015	POST: R WEAR CAMPAIGN BUTTON OR POST SIGN OR BUMPER STICKER
Question	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?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes 2. No
Survey Question(s)	MOBILPO_RBUTTN

V202016	POST: R DO ANY (OTHER) WORK FOR PARTY OR CANDIDATE
Question	Did you do any other work for one of the parties or candidates?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes 2. No
Survey Question(s)	MOBILPO_RCAMPWK

V202017	POST: R CONTRIBUTE MONEY TO INDIVIDUAL CANDIDATE RUNNING FOR PUBLIC OFFICE
Question	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?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes 2. No
Survey Question(s)	MOBILPO_CTBCAND

V202018	RESTRICTED: POST: PARTY OF CANDIDATE FOR WHOM R CONTRIBUTED MONEY
Question	Which party did that candidate belong to?
Value Labels	-3. Restricted
Universe	IF R CONTRIBUTED MONEY TO INDIVIDUAL CANDIDATE:
Survey Question(s)	MOBILPO_CTBCNDPTY

V202019	POST: R CONTRIBUTE MONEY TO POLITICAL PARTY DURING THIS ELECTION YEAR
Question	Did you give money to a political party during this election year?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes 2. No
Survey Question(s)	MOBILPO_CTBPTY

V202020	RESTRICTED: POST: PARTY TO WHICH R CONTRIBUTED
Question	To which party did you give money?
Value Labels	-3. Restricted
Universe	IF R CONTRIBUTED MONEY TO POLITICAL PARTY:
Survey Question(s)	MOBILPO_CTBWHPTY

V202021	POST: R CONTRIBUTE TO ANY OTHER GROUP THAT SUPPORTED OR OPPOSED CANDIDATES
Question	Did you give any money to any other group that supported or opposed candidates?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes 2. No
Survey Question(s)	MOBILPO_CTBOTH

V202022	POST: R EVER DISCUSS POLITICS WITH FAMILY OR FRIENDS
Question	Do you ever discuss politics with your family or friends?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes 2. No
Survey Question(s)	DISCUSS_DISC

V202023	POST: HOW MANY DAYS IN PAST WEEK DISCUSSED POLITICS WITH FAMILY OR FRIENDS
Question	How many days in the past week did you talk about politics with family or friends?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 0. Zero days 1. One day 2. Two days 3. Three days 4. Four days 5. Five days 6. Six days 7. Seven days
Universe	IF EVER DISCUSSES POLITICS WITH FAMILY AND FRIENDS:
Survey Question(s)	DISCUSS_DISCPSTWK

V202024	POST: HAS R IN PAST 12 MONTHS: GOTTEN INTO A POLITICAL ARGUMENT
Question	During the past 12 months, have you ever gotten into a political argument with someone, or have you not done this in the past 12 months?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Have done this in past 12 months 2. Have not done this in the past 12 months
Survey Question(s)	DISCUSS_EVERPOLARG

V202025	POST: HAS R IN PAST 12 MONTHS: JOINED A PROTEST MARCH, RALLY, OR DEMONSTRATION
Question	During the past 12 months, have you joined in a protest march, rally, or demonstration, or have you not done this in the past 12 months?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Have done this in past 12 months 2. Have not done this in the past 12 months
Survey Question(s)	INVOLV_EVERRALLY

V202026	POST: HAS R IN PAST 12 MONTHS: SIGN INTERNET OR PAPER PETITION
Question	During the past 12 months, have you signed a petition on the Internet or on paper about a political or social issue, or have you not done this in the past 12 months?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Have done this in past 12 months 2. Have not done this in the past 12 months
Survey Question(s)	INVOLV_EVERSGNPET

V202027	POST: HAS R IN PAST 12 MONTHS: GIVEN MONEY TO RELIGIOUS ORGANIZATION
Question	During the past 12 months, have you ever given money to a religious organization, or have you not done this in the past 12 months?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Have done this in past 12 months 2. Have not done this in the past 12 months
Survey Question(s)	INVOLV_EVERGIVREL

V202028	POST: HAS R IN PAST 12 MONTHS: GIVEN MONEY TO OTHER ORGANIZATION
Question	Not counting a religious organization, during the past 12 months, have you given money to any other organization concerned with a political or social issue, or have you not done this in the past 12 months?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Have done this in past 12 months 2. Have not done this in the past 12 months
Survey Question(s)	INVOLV_EVERGIVSOC

V202029	POST: HAS R IN PAST 12 MONTHS: POSTED COMMENT ONLINE ABOUT POLITICAL ISSUE
Question	During the past 12 months, have you posted a message or comment online about a political issue or campaign, or have you not done this in the past 12 months?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Have done this in past 12 months 2. Have not done this in the past 12 months
Survey Question(s)	INVOLV_EVERPOSTINT

V202030	POST: HAS R IN PAST 12 MONTHS: CONTACTED MEMBER OF US SENATE OR HOUSE OF REP
Question	During the past 12 months, have you contacted or tried to contact a member of the U.S. Senate or U.S. House of Representatives, or have you not done this in the past 12 months?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Have done this in past 12 months 2. Have not done this in the past 12 months
Survey Question(s)	INVOLV_REPASS1

V202031	POST: HAS R IN PAST 12 MONTHS: WORKED W/OTHERS TO DEAL W/ISSUE FACING COMMUNITY
Question	During the past 12 months, have you worked with other people to deal with some issue facing your community?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes, have done this in the past 12 months 2. No, have not done this
Survey Question(s)	INVOLV_COMMUNWK

V202032	POST: HAS R IN PAST 12 MONTHS: ATTEND MTG ABOUT ISSUE FACING COMMUNITY/SCHOOLS
Question	During the past 12 months, did you attend a meeting about an issue facing your local community or schools?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes, have done this in the past 12 months 2. No, have not done this
Survey Question(s)	INVOLV_LCOMMMTG

V202033	POST: HAS R IN PAST 12 MONTHS: DONE ANY VOLUNTEER WORK
Question	Many people say they have less time these days to do volunteer work. What about you, were you able to devote any time to volunteer work in the past 12 months or did you not do so?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes, have done this in the past 12 months 2. No, have not done this
Survey Question(s)	INVOLV_VOLTR

INTRO CONTACT WITH GOVT OFFICIALS

Now I will ask you a few questions about times you may have contacted government officials or someone on the staff of such officials about problems or issues with which you were concerned. Please don’t count any contact you made as a regular part of your job.

V202034	POST: HAS R IN PAST 12 MONTHS: CONTACTED FEDERAL ELECTED OFFICIAL
Question	In the past twelve months, have you contacted a federal elected official, such as a member of Congress or the President, or someone on the staff of such an official?
Value Labels	-8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes, have done this in the past 12 months 2. No, have not done this
Survey Question(s)	INVOLV_CONTFEDEL

V202035	POST: WHY CONTACTED FEDERAL ELECTED OFFICIAL
Question	Thinking about your most recent contact, what were the issues or problems that led you to initiate this contact?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R CONTACTED ELECTED FEDERAL OFFICIAL IN LAST 12 MONTHS:
Survey Question(s)	INVOLV_CONTFEDELWHY
Interviewer Instruction	{PROBE: IF THE ANSWER IS ONLY 1 OR TWO WORDS: ‘Can you tell me a little more about that?’}

V202036	POST: HAS R IN PAST 12 MONTHS: CONTACTED NON-ELECTED OFFICIAL IN FEDERAL GOVT
Question	And what about a non-elected official in a federal government agency? Have you contacted such a person in the past twelve months?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes, have done this in the past 12 months 2. No, have not done this
Survey Question(s)	INVOLV_CONTFEDNEL

V202037	POST: WHY CONTACTED NON-ELECTED OFFICIAL IN FEDERAL GOVERNMENT
Question	Thinking about your most recent contact, what were the issues or problems that led you to initiate this contact?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R CONTACTED NON-ELECTED FEDERAL OFFICIAL IN LAST 12 MONTHS:
Survey Question(s)	INVOLV_CONTFEDNELWHY
Interviewer Instruction	{PROBE: IF THE ANSWER IS ONLY 1 OR TWO WORDS: ‘Can you tell me a little more about that?’}

V202038	POST: HAS R IN PAST 12 MONTHS: CONTACTED ELECTED OFFICIAL ON STATE/LOCAL LEVEL
Question	What about an elected official on the state or local level, such as a governor, mayor, or a member of the state legislature or city council, or someone on the staff of such an elected official? Have you contacted such a person in the past twelve months?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes, have done this in the past 12 months 2. No, have not done this
Survey Question(s)	INVOLV_CONTLOCEL

V202039	POST: WHY CONTACTED ELECTED OFFICIAL ON STATE/LOCAL LEVEL
Question	Thinking about your most recent contact, what were the issues or problems that led you to initiate this contact?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R CONTACTED ELECTED LOCAL OFFICIAL IN LAST 12 MONTHS:
Survey Question(s)	INVOLV_CONTLOCELWHY
Interviewer Instruction	{PROBE: IF THE ANSWER IS ONLY 1 OR TWO WORDS: ‘Can you tell me a little more about that?’}

V202040	POST: HAS R IN PAST 12 MONTHS: CONTACTED NON-ELECTED OFFICIAL IN STATE/LOCAL GOV
Question	And what about a non-elected official in a state or local government agency? Have you contacted such a person in the past twelve months?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Yes, have done this in the past 12 months 2. No, have not done this
Survey Question(s)	INVOLV_CONTLOCNEL

V202041	POST: WHY CONTACTED NON-ELECTED OFFICIAL IN STATE/LOCAL GOVERNMENT
Question	Thinking about your most recent contact, what were the issues or problems that led you to initiate this contact?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R CONTACTED NON-ELECTED LOCAL OFFICIAL IN LAST 12 MONTHS:
Survey Question(s)	INVOLV_CONTLOCNELWHY
Interviewer Instruction	{PROBE: IF THE ANSWER IS ONLY 1 OR TWO WORDS: ‘Can you tell me a little more about that?’}

V202042	POST: HOW OFTEN BOUGHT OR BOYCOTTED PRODUCT/SERVICE FOR SOCIAL/POLITICAL REASONS
Question	In the past 12 months, how often have you either bought or declined to buy acertain product or service because of the social or political values of the company that provides it?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Never 2. Once in a while 3. About half the time 4. Most of the time 5. All the time
Survey Question(s)	BUYCOTT_SOCPOL
Response Order	Forward/Reverse order

V202043	POST: WEB ONLY: SOCPOL SPEEDING INTERVENTION - GENTLE PROMPT
Question	You seem to have responded very quickly. Please be sure you have given the question sufficient thought to provide an accurate answer. Do you want to go back and reconsider your answer?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes, go back 2. No, continue
Universe	IF R DESIGNATED FOR GENTLE PROMPT / IF R DESIGNATED FOR FAST THRESHOLD AND SOCPOL ANSWERED IN < 9 SECONDS / IF R DESIGNATED FOR SLOW THRESHOLD AND SOCPOL ANSWERED IN < 18.2 SECONDS:
Survey Question(s)	BUYCOTT_SOCPOL2

V202044	POST: WEB ONLY: SOCPOL SPEEDING INTERVENTION - REDISPLAY SOCPOL
Question	In the past 12 months, how often have you either bought or declined to buy acertain product or service because of the social or political values of the company that provides it?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Never 2. Once in a while 3. About half the time 4. Most of the time 5. All the time
Universe	IF R DECIDES TO RECONSIDER ANSWER:
Survey Question(s)	BUYCOTT_SOCPOL3
Response Order	Forward/Reverse order

V202045	POST: WEB ONLY: SOCPOL SPEEDING INTERVENTION - PEREMPTORY PROMPT
Question	You seem to have responded very quickly. Please be sure you have given the question sufficient thought to provide an accurate answer. In the past 12 months, how often have you either bought or declined to buy acertain product or service because of the social or political values of the company that provides it?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Never 2. Once in a while 3. About half the time 4. Most of the time 5. All the time
Universe	IF R DESIGNATED FOR PEREMPTORY PROMPT / IF R DESIGNATED FOR FAST THRESHOLD AND SOCPOL ANSWERED IN < 9 SECONDS / IF R DESIGNATED FOR SLOW THRESHOLD AND SOCPOL ANSWERED IN < 17.5 SECONDS:
Survey Question(s)	BUYCOTT_SOCPOL4
Response Order	Forward/Reverse order

V202050a	POST: VOTE SECTION - ORDER OF MAJOR PARTY CANDIDATE NAMES
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Democrat/Republican 2. Republican/Democrat

V202050b	POST: VOTE SECTION - HOUSEHOLD ADDRESS PRELOADED (SAMPLE ADDRESS)
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Sample address preloaded

V202050c	POST: VOTE SECTION - CANDIDATE NAMES PRELOADED FOR SAMPLE ADDRESS
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 0. No candidate names preloaded for location of sample address 1. Candidate names preloaded for location of sample address

V202051	POST: R REGISTERED TO VOTE (POST-ELECTION)
Question	Now on a different topic. Are you registered to vote at [Respondent’s preloaded address], registered at a different address, or not currently registered?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Registered at this address 2. Registered at a different address 3. Not currently registered
Universe	IF R DID NOT INDICATE BEING REGISTERED IN THE PRE SURVEY: IF R HAS ADDRESS ON FILE:
Survey Question(s)	POSTVOTE_REGIST

V202052	POST: IS R WITHOUT ADDRESS REGISTERED TO VOTE (POST-ELECTION)
Question	Are you registered to vote?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT INDICATE BEING REGISTERED IN THE PRE SURVEY: IF R HAS NO ADDRESS ON FILE (NOT PRELOADED):
Survey Question(s)	POSTVOTE_NOREGADD

V202053a	POST: REGISTRATION ADDRESS GIVEN (NOT REGISTERED AT SAMPLE ADDRESS)
Question	What is the address where you are registered to vote now?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 0. Registration address not given 1. Registration address given
Universe	IF R DID NOT INDICATE BEING REGISTERED IN THE PRE SURVEY: IF R IS REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS / IF R WITHOUT PRELOAD ADDRESS INDICATES REGISTERED:
Survey Question(s)	POSTVOTE_REG

V202053b	POST: STATE INCLUDED IN REGISTRATION ADDRESS (NOT REGISTERED AT SAMP ADDR)
Question	What is the address where you are registered to vote now?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 0. State not included with registration address 1. State included with registration address 2. State included with registration address (wrong field)
Universe	IF R DID NOT INDICATE BEING REGISTERED IN THE PRE SURVEY: IF R IS REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS / IF R WITHOUT PRELOAD ADDRESS INDICATES REGISTERED:
Survey Question(s)	POSTVOTE_REG

V202053c	POST: CITY INCLUDED IN POST REGISTRATION ADDRESS (NOT REGISTERED AT SAMP ADDR)
Question	What is the address where you are registered to vote now?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 0. City not included with registration address 1. City included with registration address 2. City included with registration address (wrong field)
Universe	IF R DID NOT INDICATE BEING REGISTERED IN THE PRE SURVEY: IF R IS REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS / IF R WITHOUT PRELOAD ADDRESS INDICATES REGISTERED:
Survey Question(s)	POSTVOTE_REG

V202054a	POST: STATE OF REGISTRATION (NOT REGISTERED AT SAMP ADDR; GIVEN AT REG)
Question	What is the address where you are registered to vote now?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Alabama  2. Alaska  4. Arizona 5. Arkansas  6. California  8. Colorado 9. Connecticut  10. Delaware 11. Washington DC 12. Florida  13. Georgia   15. Hawaii 16. Idaho   17. Illinois   18. Indiana 19. Iowa   20. Kansas   21. Kentucky 22. Louisiana   23. Maine   24. Maryland 25. Massachusetts   26. Michigan   27. Minnesota 28. Mississippi   29. Missouri   30. Montana 31. Nebraska   32. Nevada   33. New Hampshire 34. New Jersey   35. New Mexico   36. New York 37. North Carolina   38. North Dakota   39. Ohio 40. Oklahoma   41. Oregon   42. Pennsylvania 44. Rhode Island   45. South Carolina   46. South Dakota 47. Tennessee   48. Texas   49. Utah 50. Vermont   51. Virginia   53. Washington 54. West Virginia   55. Wisconsin   56. Wyoming
Universe	IF R DID NOT INDICATE BEING REGISTERED IN THE PRE SURVEY: IF R IS REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS / IF R WITHOUT PRELOAD ADDRESS INDICATES REGISTERED:
Survey Question(s)	POSTVOTE_REG

V202054b	POST: STATE OF REGISTRATION (NOT REGISTERED AT SAMP ADDR GIVEN AT REGWHST)
Question	In what state are you registered to vote now?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Alabama  2. Alaska  4. Arizona 5. Arkansas  6. California  8. Colorado 9. Connecticut  10. Delaware 11. Washington DC 12. Florida  13. Georgia   15. Hawaii 16. Idaho   17. Illinois   18. Indiana 19. Iowa   20. Kansas   21. Kentucky 22. Louisiana   23. Maine   24. Maryland 25. Massachusetts   26. Michigan   27. Minnesota 28. Mississippi   29. Missouri   30. Montana 31. Nebraska   32. Nevada   33. New Hampshire 34. New Jersey   35. New Mexico   36. New York 37. North Carolina   38. North Dakota   39. Ohio 40. Oklahoma   41. Oregon   42. Pennsylvania 44. Rhode Island   45. South Carolina   46. South Dakota 47. Tennessee   48. Texas   49. Utah 50. Vermont   51. Virginia   53. Washington 54. West Virginia   55. Wisconsin   56. Wyoming
Universe	IF R DID NOT INDICATE BEING REGISTERED IN THE PRE SURVEY: IF R IS REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS / IF R WITHOUT PRELOAD ADDRESS INDICATES REGISTERED: IF R DID NOT IDENTIFY STATE OF REGISTRATION:
Survey Question(s)	POSTVOTE_REGWHST

V202054c

POST: STATE OF REGISTRATION FOR POST VOTE (PRE NONVOTER)

Value Labels

-9. Refused -1. Inapplicable 1. Alabama  2. Alaska  4. Arizona 5. Arkansas  6. California  8. Colorado 9. Connecticut  10. Delaware 11. Washington DC 12. Florida  13. Georgia   15. Hawaii 16. Idaho   17. Illinois   18. Indiana 19. Iowa   20. Kansas   21. Kentucky 22. Louisiana   23. Maine   24. Maryland 25. Massachusetts   26. Michigan   27. Minnesota 28. Mississippi   29. Missouri   30. Montana 31. Nebraska   32. Nevada   33. New Hampshire 34. New Jersey   35. New Mexico   36. New York 37. North Carolina   38. North Dakota   39. Ohio 40. Oklahoma   41. Oregon   42. Pennsylvania 44. Rhode Island   45. South Carolina   46. South Dakota 47. Tennessee   48. Texas   49. Utah 50. Vermont   51. Virginia   53. Washington 54. West Virginia   55. Wisconsin   56. Wyoming

V202054x

PRE-POST SUMMARY: STATE OF REGISTRATION (ALL REGISTERED VOTERS)

Value Labels

-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Alabama  2. Alaska  4. Arizona 5. Arkansas  6. California  8. Colorado 9. Connecticut  10. Delaware 11. Washington DC 12. Florida  13. Georgia   15. Hawaii 16. Idaho   17. Illinois   18. Indiana 19. Iowa   20. Kansas   21. Kentucky 22. Louisiana   23. Maine   24. Maryland 25. Massachusetts   26. Michigan   27. Minnesota 28. Mississippi   29. Missouri   30. Montana 31. Nebraska   32. Nevada   33. New Hampshire 34. New Jersey   35. New Mexico   36. New York 37. North Carolina   38. North Dakota   39. Ohio 40. Oklahoma   41. Oregon   42. Pennsylvania 44. Rhode Island   45. South Carolina   46. South Dakota 47. Tennessee   48. Texas   49. Utah 50. Vermont   51. Virginia   53. Washington 54. West Virginia   55. Wisconsin   56. Wyoming

V202055a	POST: STATE OF REGISTRATION FOR POST VOTE SAME AS SAMPLE ADDRESS STATE (PRE NONVOTER)
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 0. State of registration not the same as state of sample address 1. State of registration same as state of sample address

V202055b	POST: SENATE RACE IN STATE OF REGISTRATION (PRE NONVOTER)
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 0. No Senate race in state of registration 1. Senate race in state of registration

V202055c	POST: GOVERNOR RACE IN STATE OF REGISTRATION (PRE NONVOTER)
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 0. No Governor race in state of registration 1. Governor race in state of registration

V202055d	POST: PARTY REGISTRATION IN STATE OF REGISTRATION (PRE NONVOTER)
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 0. No party registration in state of registration 1. Party registration in state of registration

V202056	POST: WHEN R REGISTERED TO VOTE
Question	Now on a different topic. When did you register to vote for the first time?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. In the past twelve months 2. 1-2 years ago 3. 3-4 years ago 4. 5 or more years ago
Universe	IF R INDICATED BEING REGISTERED IN THE PRE / IF R INDICATED BEING REGISTERED IN THE POST:
Survey Question(s)	POSTVOTE_WHENREG

V202060	POST: IS R REGISTERED TO VOTE IN PRELOAD COUNTY (RESIDENCE)
Question	Is that address in [Respondent’s preloaded county]?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes, registered in county of sample address 2. No, registered in other county
Universe	IF R DID NOT INDICATE BEING REGISTERED IN THE PRE SURVEY: IF R REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS: IF R REGISTERED IN SAME STATE AS PRELOAD ADDRESS:
Survey Question(s)	POSTVOTE_REGINCNTY

V202060z	RESTRICTED: POST: IS R REGISTERED TO VOTE IN PRELOAD COUNTY - OTHER {SPECIFY}
Question	Is that address in [Respondent’s preloaded county]?
Value Labels	-3. Restricted
Universe	IF R DID NOT INDICATE BEING REGISTERED IN THE PRE SURVEY: IF R REGISTERED AT AN ADDRESS OTHER THAN PRELOAD ADDRESS: IF R REGISTERED IN SAME STATE AS PRELOAD ADDRESS:
Survey Question(s)	POSTVOTE_REGINCNTY

V202061	POST: HOW LONG HAS R BEEN REGISTERED AT LOCATION
Question	How many years have you been registered to vote at [this/that] address?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. 0-1 years 2. 2-5 years 3. More than 5 years
Universe	IF R DID NOT INDICATE BEING REGISTERED IN THE PRE SURVEY: IF R REGISTERED AT PRELOAD ADDRESS / IF R PROVIDED ADDRESS OF REGISTRATION AT CITY LEVEL:
Survey Question(s)	POSTVOTE_REGYRS
Interviewer Instruction	{ENTER 0 IF RESPONSE IS LESS THAN 1 YEAR}

V202061x	PRE-POST: SUMMARY: YEARS HAS R BEEN REGISTERED AT REGISTRATION LOCATION
Value Labels	-9. Refused -1. Inapplicable 1. 0-1 years 2. 2-5 years 3. More than 5 years

V202062	RESTRICTED: POST: NAME UNDER WHICH R IS REGISTERED TO VOTE
Question	Under what name are you registered to vote?
Value Labels	-3. Restricted - STAFF ONLY
Universe	IF R DID NOT INDICATE BEING REGISTERED IN THE PRE SURVEY: IF R INDICATED REGISTERED TO VOTE IN THE POST SURVEY:
Survey Question(s)	POSTVOTE_REGNAMEREV
Interviewer Instruction	{INTERVIEWER: PROBE GENTLY FOR THE NAME. DO NOT PROBE REFUSALS}

V202063x	PRE-POST: SUMMARY: NAME RECORDED FOR REGISTRATION NAME
Value Labels	-1. Inapplicable 0. Name not recorded 1. Name recorded

V202064	POST: PARTY OF REGISTRATION
Question	What political party are you registered with, if any?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Democratic party 2. Republican party 4. None or ‘independent’ 5. Other party {SPECIFY}
Universe	IF R DID NOT INDICATE BEING REGISTERED IN THE PRE SURVEY: IF R INDICATED REGISTERED TO VOTE IN THE POST SURVEY: IF R IS REGISTERED TO VOTE IN STATE WHERE PARTY MAY BE REGISTERED:
Survey Question(s)	POSTVOTE_REGPTY

V202064z	RESTRICTED: POST: PARTY OF REGISTRATION - OTHER {SPECIFY}
Question	What political party are you registered with, if any?
Value Labels	-3. Restricted
Universe	IF R DID NOT INDICATE BEING REGISTERED IN THE PRE SURVEY: IF R INDICATED REGISTERED TO VOTE IN THE POST SURVEY: IF R IS REGISTERED TO VOTE IN STATE WHERE PARTY MAY BE REGISTERED:
Survey Question(s)	POSTVOTE_REGPTY

V202065x	PRE-POST: SUMMARY: PARTY OF REGISTRATION
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Democratic Party 2. Republican Party 4. None or ’independent 5. Other

V202066	POST: DID R VOTE IN NOVEMBER 2020 ELECTION
Question	In talking to people about elections, we often find that a lot of peoplewere not able to vote because they weren’t registered, they weresick, or they just didn’t have time. Which of the following statements best describes you:
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. I did not vote (in the election this November) 2. I thought about voting this time, but didn’t 3. I usually vote, but didn’t this time 4. I am sure I voted
Universe	IF R DID NOT REPORT IN THE PRE THAT R ALREADY VOTED:
Survey Question(s)	POSTVOTE_RVOTE

V202068x	POST: SUMMARY: POST VOTE STATUS FOR REGISTERED RESPONDENTS
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -2. Missing: turnout not reported or did not vote and registration not reported 0. Not registered and did not vote 1. Registered and did not vote 2. Voted (regardless of registration status)

V202072	POST: DID R VOTE FOR PRESIDENT
Question	How about the election for President? Did you vote for a candidate for President?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes, voted for President 2. No, didn’t vote for President
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	POSTVOTE_PRESVT

V202073	POST: FOR WHOM DID R VOTE FOR PRESIDENT
Question	Who did you vote for? [Joe Biden, Donald Trump/Donald Trump, Joe Biden], Jo Jorgensen, Howie Hawkins, or someone else?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Joe Biden 2. Donald Trump 3. Jo Jorgensen 4. Howie Hawkins 5. Other candidate {SPECIFY} 7. Specified as Republican candidate 8. Specified as Libertarian candidate 11. Specified as don’t know 12. Specified as refused
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF R VOTED FOR PRESIDENT:
Survey Question(s)	POSTVOTE_PRESVTWHO
Randomization	Order of Democratic Pres cand and Republican Pres cand names, according to ballot color assigned in Pre (other response options in fixed order 3rd, 4th, 5th positions)
Response Order	Randomize 2 major parties

V202073z	POST: FOR WHOM DID R VOTE FOR PRESIDENT - OTHER {SPECIFY}
Question	Who did you vote for? [Joe Biden, Donald Trump/Donald Trump, Joe Biden], Jo Jorgensen, Howie Hawkins, or someone else?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF R VOTED FOR PRESIDENT:
Survey Question(s)	POSTVOTE_PRESVTWHO
Randomization	Order of Democratic Pres cand and Republican Pres cand names, according to ballot color assigned in Pre (other response options in fixed order 3rd, 4th, 5th positions)
Response Order	Randomize 2 major parties

V202074	POST: PREFERENCE STRONG FOR PRESIDENTIAL CANDIDATE FOR WHOM R VOTE
Question	Would you say your preference for this candidate was strong or not strong?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Strong 2. Not strong
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF R VOTED FOR PRESIDENT: IF R’S VOTE FOR PRESIDENT IS NOT DK/RF/SK:
Survey Question(s)	POSTVOTE_PRESSTR

V202075	POST: HOW LONG BEFORE ELECTION R MADE DECISION PRESIDENTIAL VOTE
Question	How long before you voted did you decide that you were going to vote the way you did?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF R VOTED FOR PRESIDENT: IF R’S VOTE FOR PRESIDENT IS NOT DK/RF/SK:
Survey Question(s)	POSTVOTE_VTPRESDEC
Interviewer Instruction	{PROBE IF NECESSARY: WOULD THAT HAVE BEEN A FEW DAYS BEFORE YOU VOTED, A WEEK, OR LONGER THAN THAT?}

V202075y

POST: HOW LONG BEFORE ELECTION R MADE DECISION PRESIDENTIAL VOTE [CODED]

Value Labels

-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. That day; when I walked into the booth 2. One day 3. More than one day/less than one week; a few days; a couple of days 4. One week; seven days 5. More than one week/less than one month; a few weeks; a couple of weeks 6. One month 7. More than one month, less than two months 8. Two to three months; a couple of months; after the convention; after he was nominated 9. More than 3 months and less than 6 months; a few months/several months, during the convention; when he was nominated 10. Six months 11. More than six months; during the primaries; during the caucuses; all the time 12. Specific event; answer mentions an even other than convention, nomination, primaries, or caucuses 13. Other; the answer does not mention a time frame or a specific event

V202076	POST: DOES R PREFER PRESIDENTIAL CANDIDATE (DID NOT VOTE)
Question	Did you prefer one of the candidates in the November election for President?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED:
Survey Question(s)	POSTVOTE_PREFPRES

V202077	POST: PREFERENCE FOR PRESIDENTIAL CANDIDATE (DID NOT VOTE)
Question	Who did you prefer? [Joe Biden, Donald Trump/Donald Trump, Joe Biden], Jo Jorgensen, Howie Hawkins, or someone else?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Joe Biden 2. Donald Trump 3. Jo Jorgensen 4. Howie Hawkins 5. Other candidate {SPECIFY} 12. Specified as refused
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF R PREFERRED A PRESIDENTIAL CANDIDATE:
Survey Question(s)	POSTVOTE_PREFPRWHO
Randomization	Order of Democratic Pres cand and Republican Pres cand names, according to ballot color assigned in Pre (other response options in fixed order 3rd, 4th, 5th positions)
Response Order	Randomize 2 major parties

V202077z	POST: PREFERENCE FOR PRESIDENTIAL CANDIDATE (DID NOT VOTE) - OTHER {SPECIFY}
Question	Who did you prefer? [Joe Biden, Donald Trump/Donald Trump, Joe Biden], Jo Jorgensen, Howie Hawkins, or someone else?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF R PREFERRED A PRESIDENTIAL CANDIDATE:
Survey Question(s)	POSTVOTE_PREFPRWHO
Randomization	Order of Democratic Pres cand and Republican Pres cand names, according to ballot color assigned in Pre (other response options in fixed order 3rd, 4th, 5th positions)
Response Order	Randomize 2 major parties

V202078	POST: PREFERENCE STRONG FOR PRESIDENTIAL CANDIDATE (DID NOT VOTE)
Question	Would you say your preference for this candidate was strong or not strong?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Strong 2. Not strong
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF R PREFERRED A PRESIDENTIAL CANDIDATE: IF PRESIDENTIAL CANDIDATE PREFERENCE IS NOT DK/RF/SK:
Survey Question(s)	POSTVOTE_PREFPRSTR

V202079x

POST: SUMMARY: PREFERENCE FOR PRESIDENTIAL CANDIDATE (DID NOT VOTE)

Value Labels

-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -2. Missing - DK/RF in V202077 or V202078 -1. Inapplicable 10. Prefer Joe Biden - preference not strong 11. Prefer Joe Biden - preference strong 20. Prefer Donald Trump - preference not strong 21. Prefer Donald Trump - preference strong 30. Prefer Jo Jorgensen - preference not strong 31. Prefer Jo Jorgensen - preference strong 40. Prefer Howie Hawkins - preference not strong 41. Prefer Howie Hawkins - preference strong 50. Prefer other candidate - preference not strong 51. Prefer other candidate - preference strong

V202080	POST: DID R VOTE FOR U.S. HOUSE OF REPRESENTATIVES
Question	How about the election for the House of Representatives inWashington. Did you vote for a candidate for the U.S. House ofRepresentatives?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes, voted for House of Representatives 2. No, didn’t vote for House of Representatives
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	POSTVOTE_VOTEHS

V202081	POST: FOR WHOM DID R VOTE FOR US HOUSE OF REPRESENTATIVES (BALLOT CARD)
Question	Who did you vote for?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Democratic House candidate 2. Republican House candidate 3. Other/Independent House candidate (name on ballot card) 5. Other candidate {SPECIFY} (name not on ballot card) 6. Specified as Democratic House candidate 7. Specified as Republican House candidate 10. Specified as Other/Independent House candidate 11. Specified as don’t know 12. Specified as refused
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF R VOTED FOR U.S. HOUSE OF REPRESENTATIVES: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE IN USE:
Survey Question(s)	POSTVOTE_HSVTBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202081z	POST: FOR WHOM DID R VOTE FOR US HOUSE OF REP (BALLOT CARD) - OTHER {SPECIFY}
Question	Who did you vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF R VOTED FOR U.S. HOUSE OF REPRESENTATIVES: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE IN USE:
Survey Question(s)	POSTVOTE_HSVTBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202082	POST: FOR WHOM DID R VOTE FOR US HOUSE OF REPRESENTATIVES (NO BALLOT CARD)
Question	Who did you vote for? Which party was that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF R VOTED FOR U.S. HOUSE OF REPRESENTATIVES: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE NOT IN USE:
Survey Question(s)	POSTVOTE_HSVTNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V202082y	POST: FOR WHOM DID R VOTE FOR US HOUSE OF REPRESENTATIVES (NO BALLOT CARD) [CODED]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 6. Specified as Democratic House candidate 7. Specified as Republican House candidate 10. Specified as Other/Independent House candidate 11. Specified as don’t know 12. Specified as refused

V202083	POST: DOES R PREFER US HOUSE OF REPRESENTATIVES CANDIDATE
Question	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?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED:
Survey Question(s)	POSTVOTE_HSPREF

V202084	POST: WHOM DOES R PREFER FOR US HOUSE OF REPRESENTATIVES (BALLOT CARD)
Question	Who did you prefer?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Democratic House candidate 2. Republican House candidate 3. Other/Independent House candidate (name on ballot card) 5. Other candidate {SPECIFY} (name not on ballot card 12. Specified as refused
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF R PREFERRED A CANDIDATE FOR U.S. HOUSE: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE IN USE:
Survey Question(s)	POSTVOTE_HSPREFBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202084z	POST: WHOM DOES R PREFER FOR US HOUSE OF REP (BALLOT CARD) - OTHER {SPECIFY}
Question	Who did you prefer?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF R PREFERRED A CANDIDATE FOR U.S. HOUSE: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE IN USE:
Survey Question(s)	POSTVOTE_HSPREFBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202085	POST: WHOM DOES R PREFER FOR US HOUSE OF REPRESENTATIVES (NO BALLOT CARD)
Question	Who did you prefer? Which party was that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF R PREFERRED A CANDIDATE FOR U.S. HOUSE: IF PRELOADED CANDIDATE NAMES FOR R’S DISTRICT OF RESIDENCE ARE NOT IN USE:
Survey Question(s)	POSTVOTE_HSPREFNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V202085y	POST: WHOM DOES R PREFER FOR US HOUSE OF REPRESENTATIVES (NO BALLOT CARD) [CODED]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 6. Specified as Democratic House candidate 7. Specified as Republican House candidate 10. Specified as Other/Independent House candidate 12. Specified as refused

V202087	POST: DID R VOTE FOR US SENATE - 1 SENATE RACE
Question	How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes, voted for Senate 2. No, didn’t vote for Senate
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF A SENATE RACE WAS HELD IN REGISTRATION STATE:
Survey Question(s)	POSTVOTE_VOTESEN

V202088	POST: R’S VOTE FOR US SENATE (BALLOT CARD)
Question	Who did you vote for?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Democratic Senate candidate 2. Republican Senate candidate 3. Other/Independent Senate candidate (name on ballot card) 5. Other candidate {SPECIFY} (name not on ballot card 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate 10. Specified as Other/Independent Senate candidate 11. Specified as don’t know 12. Specified as refused
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R VOTED FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE IN USE:
Survey Question(s)	POSTVOTE_VTSENBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202088z	POST: R’S VOTE FOR US SENATE (BALLOT CARD) - OTHER {SPECIFY}
Question	Who did you vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R VOTED FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE IN USE:
Survey Question(s)	POSTVOTE_VTSENBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202089	POST: R’S VOTE FOR US SENATE (NO BALLOT CARD)
Question	Who did you vote for? Which party was that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R VOTED FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S REGISTRAION STATE ARE NOT IN USE:
Survey Question(s)	POSTVOTE_VTSENNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V202089y	POST: R’S VOTE FOR US SENATE (NO BALLOT CARD) [CODED]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate 10. Specified as Other/Independent Senate candidate 11. Specified as don’t know 12. Specified as refused

V202090	POST: DOES R PREFER US SENATE CANDIDATE
Question	How about the election for the United States Senate? Did you prefer one of the candidates for the U.S. Senate?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF A SENATE RACE WAS HELD IN REGISTRATION STATE:
Survey Question(s)	POSTVOTE_SENPREF

V202091	POST: WHOM DOES R PREFER FOR US SENATE
Question	Who did you prefer?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Democratic Senate candidate 2. Republican Senate candidate 3. Other/Independent Senate candidate (name on ballot card) 5. Other candidate {SPECIFY} (name not on ballot card 6. Specified as Democratic Senate candidate 12. Specified as refused
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R PREFERS A CANDIDATE FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE IN USE:
Survey Question(s)	POSTVOTE_SENPREFBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202091z	POST: WHOM DOES R PREFER FOR US SENATE - OTHER {SPECIFY}
Question	Who did you prefer?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R PREFERS A CANDIDATE FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE IN USE:
Survey Question(s)	POSTVOTE_SENPREFBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202092	POST: WHOM DOES R PREFER FOR US SENATE (NO BALLOT CARD)
Question	Who did you prefer? Which party was that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF A SENATE RACE WAS HELD IN REGISTRATION STATE: IF R PREFERS A CANDIDATE FOR U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE NOT IN USE:
Survey Question(s)	POSTVOTE_SENPREFNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V202092y	POST: WHOM DOES R PREFER FOR US SENATE (NO BALLOT CARD) [CODED]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate 12. Specified as refused

V202093	POST: DID R VOTE FOR US SENATE [SPECIAL ELECTION]
Question	How about the election for the United States Senate? Did you vote for candidates for the U.S. Senate?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes, voted for Senate 2. No, didn’t vote for Senate
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE:
Survey Question(s)	POSTVOTE_VOTESEN2

V202094	POST: R’S VOTE FOR US SENATE (BALLOT CARD) [SPECIAL ELECTION]
Question	Who did you vote for?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Democratic Senate candidate 2. Republican Senate candidate 3. Other/Independent Senate candidate (name on ballot card) 5. Other candidate {SPECIFY} (name not on ballot card 12. Specified as refused
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R VOTED IN U.S. SPECIAL SENATE ELECTION: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE IN USE:
Survey Question(s)	POSTVOTE_VOTESEN2BC
Randomization	Order of response options 1-2 according to value in var ballotcolor.
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202094z	POST: R’S VOTE FOR US SENATE (BALLOT CARD) [SPECIAL ELECTION] - OTHER {SPECIFY}
Question	Who did you vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R VOTED IN U.S. SPECIAL SENATE ELECTION: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE IN USE:
Survey Question(s)	POSTVOTE_VOTESEN2BC
Randomization	Order of response options 1-2 according to value in var ballotcolor.
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202095	POST: R’S VOTE FOR US SENATE (NO BALLOT CARD) [SPECIAL ELECTION]
Question	Who did you vote for? Which party was that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R VOTED IN U.S. SPECIAL SENATE ELECTION: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE NOT IN USE:
Survey Question(s)	POSTVOTE_VOTESEN2NOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V202095y	POST: R’S VOTE FOR US SENATE (NO BALLOT CARD) [SPECIAL ELECTION] [CODED]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate 12. Specified as refused

V202096	POST: DOES R PREFER US SENATE CANDIDATE [SPECIAL ELECTION]
Question	How about the election for the United States Senate? Do you prefer one of the candidates for the U.S. Senate?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE:
Survey Question(s)	POSTVOTE_SENPREF2

V202097	POST: WHOM DOES R PREFER US SENATE CANDIDATE [SPECIAL ELECTION]
Question	Who do you prefer?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Democratic Senate candidate 2. Republican Senate candidate 3. Other/Independent Senate candidate (name on ballot card) 5. Other candidate {SPECIFY} (name not on ballot card 10. Specified as Other/Independent Senate candidate
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R PREFERRED A CANDIDATE FOR THE U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE IN USE:
Survey Question(s)	POSTVOTE_SENPREF2BC
Randomization	Order of response options 1-2 according to value in var ballotcolor.
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202097z	POST: WHOM DOES R PREFER US SENATE CAND [SPECIAL ELECTION] - OTHER {SPECIFY}
Question	Who do you prefer?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R PREFERRED A CANDIDATE FOR THE U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE IN USE:
Survey Question(s)	POSTVOTE_SENPREF2BC
Randomization	Order of response options 1-2 according to value in var ballotcolor.
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202098	POST: WHOM DOES R PREFER FOR US SENATE (NO BALLOT CARD) [SPECIAL ELECTION]
Question	Who do you prefer? Which party is that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF A SPECIAL SENATE RACE WAS HELD IN REGISTRATION STATE: IF R PREFERRED A CANDIDATE FOR THE U.S. SENATE: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE NOT IN USE:
Survey Question(s)	POSTVOTE_SENPREF2NOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V202098y	POST: WHOM DOES R PREFER FOR US SENATE (NO BALLOT CARD) [SPECIAL ELECTION] [CODED]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate 12. Specified as refused

V202099	POST: DID R VOTE FOR GOVERNOR
Question	How about the election for Governor? Did you vote for a candidate for Governor?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes, voted for governor 2. No, didn’t vote for governor
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF A GUBERNATORIAL RACE WAS HELD IN REGISTRATION STATE:
Survey Question(s)	POSTVOTE_VOTEGOV

V202100	POST: R’S VOTE FOR GOVERNOR (BALLOT CARD)
Question	Who did you vote for?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Democratic gubernatorial candidate 2. Republican gubernatorial candidate 3. Other/Independent gubernatorial candidate (name on ballot card) 5. Other candidate {SPECIFY} (name not on ballot card) 6. Specified as Democratic gubernatorial candidate 11. Specified as don’t know 12. Specified as refused
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION: IF R VOTED FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE IN USE:
Survey Question(s)	POSTVOTE_VTGOVBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202100z	POST: R’S VOTE FOR GOVERNOR (BALLOT CARD) - OTHER {SPECIFY}
Question	Who did you vote for?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION: IF R VOTED FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE IN USE:
Survey Question(s)	POSTVOTE_VTGOVBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202101	POST: R’S VOTE FOR GOVERNOR (NO BALLOT CARD)
Question	Who did you vote for? Which party was that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R REPORTED IN THE POST THAT R VOTED: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF REGISTRATION: IF R VOTED FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE NOT IN USE:
Survey Question(s)	POSTVOTE_VTGOVNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V202101y	POST: R’S VOTE FOR GOVERNOR (NO BALLOT CARD) [CODED]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 6. Specified as Democratic Senate candidate 7. Specified as Republican Senate candidate 12. Specified as refused

V202102	POST: DOES R PREFER GUBERNATORIAL CANDIDATE
Question	How about the election for Governor? Did you prefer one of the candidates for Governor?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Yes 2. No
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF RESIDENCE:
Survey Question(s)	POSTVOTE_GOVPREF

V202103	POST: WHOM DOES R PREFER FOR GOVERNOR (BALLOT CARD)
Question	Who did you prefer?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. Democratic gubernatorial candidate 2. Republican gubernatorial candidate 5. Other candidate {SPECIFY} (name not on ballot card) 10. Specified as Other/Independent gubernatorial candidate
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF RESIDENCE: IF R PREFERS A CANDIDATE FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE IN USE:
Survey Question(s)	POSTVOTE_GOVPREFBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202103z	POST: WHOM DOES R PREFER FOR GOVERNOR (BALLOT CARD) - OTHER {SPECIFY}
Question	Who did you prefer?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF RESIDENCE: IF R PREFERS A CANDIDATE FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE IN USE:
Survey Question(s)	POSTVOTE_GOVPREFBC
Randomization	Order of names in question text according to value in var ballotcolor. Order of response options 1-2 according to value in var ballotcolor.
Response Order	Randomize 2 major parties
Interviewer Instruction	{READ ALL CANDIDATE NAMES TO R}

V202104	POST: WHOM DOES R PREFER FOR GOVERNOR (NO BALLOT CARD)
Question	Who did you prefer? Which party was that?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF A GUBERNATORIAL RACE WAS HELD IN STATE OF RESIDENCE: IF R PREFERS A CANDIDATE FOR GOVERNOR: IF PRELOADED CANDIDATE NAMES FOR R’S ADDRESS ARE NOT IN USE:
Survey Question(s)	POSTVOTE_GOVPREFNOBC
Interviewer Instruction	{RECORD PARTY IF R DOES NOT KNOW OR REFUSES NAME}

V202104y	POST: WHOM DOES R PREFER FOR GOVERNOR (NO BALLOT CARD) [CODED]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable

V202105x	POST: SUMMARY - POST-ELECTION PRESIDENTIAL VOTE/PREFERENCE
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 10. Democratic candidate selected (vote) 11. Republican candidate selected (vote) 12. Other candidate selected (vote) 30. Democratic candidate selected (preference; nonvoter) 31. Republican candidate selected (preference; nonvoter) 32. Other candidate selected (preference; nonvoter)
Survey Question(s)	POSTVOTE_PRESVTWHO, POSTVOTE_PREFPRWHO

V202106x	POST: SUMMARY - PARTY OF POST-ELECTION U.S. HOUSE VOTE/PREFERENCE
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 10. Democratic candidate selected (vote) 11. Republican candidate selected (vote) 12. Other candidate selected (vote) 30. Democratic candidate selected (preference; nonvoter) 31. Republican candidate selected (preference; nonvoter) 32. Other candidate selected (preference; nonvoter)
Survey Question(s)	POSTVOTE_HSVTBC, POSTVOTE_HSVTNOBC, POSTVOTE_HSPREFBC, POSTVOTE_HSPREFNOBC

V202107x	POST: SUMMARY - PARTY OF POST-ELECTION U.S. SENATE VOTE/PREFERENCE
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 10. Democratic candidate selected (vote) 11. Republican candidate selected (vote) 12. Other candidate selected (vote) 30. Democratic candidate selected (preference; nonvoter) 31. Republican candidate selected (preference; nonvoter) 32. Other candidate selected (preference; nonvoter)
Survey Question(s)	POSTVOTE_VTSENBC, POSTVOTE_VTSENNOBC, POSTVOTE_SENPREFBC, POSTVOTE_SENPREFNOBC

V202108x	POST: SUMMARY - PARTY OF POST-ELECTION GUBERNATORIAL VOTE/PREFERENCE
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 10. Democratic candidate selected (vote) 11. Republican candidate selected (vote) 12. Other candidate selected (vote) 30. Democratic candidate selected (preference; nonvoter) 31. Republican candidate selected (preference; nonvoter) 32. Other candidate selected (preference; nonvoter)
Survey Question(s)	POSTVOTE_VTGOVBC, POSTVOTE_VTGOVNOBC, POSTVOTE_GOVPREFBC, POSTVOTE_GOVPREFNOBC

V202109x	PRE-POST: SUMMARY: VOTER TURNOUT IN 2020
Value Labels	-2. Not reported 0. Did not vote 1. Voted
Survey Question(s)	PREVOTE_HOWVOTE, POSTVOTE_RVOTE, POSTVOTE_REGIST

V202110x	PRE-POST: SUMMARY: 2020 PRESIDENTIAL VOTE
Value Labels	-9. Refused -8. Don’t know -1. Inapplicable 1. Joe Biden 2. Donald Trump 3. Jo Jorgensen 4. Howie Hawkins 5. Other candidate {SPECIFY}
Survey Question(s)	PREVOTE_PRESVTWHO, POSTVOTE_PRESVTWHO

V202111x	PRE-POST: SUMMARY: PARTY OF 2020 U.S. HOUSE VOTE
Value Labels	-9. Refused -8. Don’t Know -1. Inapplicable 1. Voted for Democratic candidate 2. Voted for Republican candidate 3. Voted for other candidate
Survey Question(s)	PREVOTE_HSVTBC, PREVOTE_HSVTNOBC, POSTVOTE_HSVTBC, POSTVOTE_HSVTNOBC

V202112x	PRE-POST: SUMMARY: PARTY OF 2020 U.S. SENATE VOTE
Value Labels	-9. Refused -8. Don’t Know -1. Inapplicable 1. Voted for Democratic candidate 2. Voted for Republican candidate 3. Voted for other candidate
Survey Question(s)	PREVOTE_VTSENBC, PREVOTE_VTSENNOBC, POSTVOTE_VTSENBC, POSTVOTE_VTSENNOBC

V202113x	PRE-POST: SUMMARY: PARTY OF 2020 GOVERNOR VOTE
Value Labels	-9. Refused -8. Don’t Know -1. Inapplicable 1. Voted for Democratic candidate 2. Voted for Republican candidate 3. Voted for other candidate
Survey Question(s)	PREVOTE_VTGOVBC, PREVOTE_VTGOVNOBC, POSTVOTE_VTGOVBC, POSTVOTE_VTGOVNOBC

V202114a	POST: REASON R IS NOT REGISTERED - DID NOT MEET REGISTATION DEADLINES
Question	What is the main reason you are not registered to vote? You can just give me the number or numbers of your choices.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R IS NOT REGISTERED TO VOTE: IF R HAS BOOKLET IN FTF / IF MODE IS WEB:
Survey Question(s)	NONREG_REASON
Interviewer Instruction	{ENTER ALL THAT APPLY}

V202114b	POST: REASON R IS NOT REGISTERED - DID NOT KNOW WHERE OR HOW TO REGISTER
Question	What is the main reason you are not registered to vote? You can just give me the number or numbers of your choices.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R IS NOT REGISTERED TO VOTE: IF R HAS BOOKLET IN FTF / IF MODE IS WEB:
Survey Question(s)	NONREG_REASON
Interviewer Instruction	{ENTER ALL THAT APPLY}

V202114c	POST: REASON R IS NOT REGISTERED - DID NOT MEET RESIDENCY REQUIREMENTS
Question	What is the main reason you are not registered to vote? You can just give me the number or numbers of your choices.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R IS NOT REGISTERED TO VOTE: IF R HAS BOOKLET IN FTF / IF MODE IS WEB:
Survey Question(s)	NONREG_REASON
Interviewer Instruction	{ENTER ALL THAT APPLY}

V202114d	POST: REASON R IS NOT REGISTERED - REGISTRATION FORM WAS NOT PROCESSED CORRECTLY
Question	What is the main reason you are not registered to vote? You can just give me the number or numbers of your choices.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R IS NOT REGISTERED TO VOTE: IF R HAS BOOKLET IN FTF / IF MODE IS WEB:
Survey Question(s)	NONREG_REASON
Interviewer Instruction	{ENTER ALL THAT APPLY}

V202114e	POST: REASON R IS NOT REGISTERED - DID NOT HAVE REQUIRED IDENTIFICATION
Question	What is the main reason you are not registered to vote? You can just give me the number or numbers of your choices.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R IS NOT REGISTERED TO VOTE: IF R HAS BOOKLET IN FTF / IF MODE IS WEB:
Survey Question(s)	NONREG_REASON
Interviewer Instruction	{ENTER ALL THAT APPLY}

V202114f	POST: REASON R IS NOT REGISTERED - NOT INTERESTED IN THE ELECTION
Question	What is the main reason you are not registered to vote? You can just give me the number or numbers of your choices.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R IS NOT REGISTERED TO VOTE: IF R HAS BOOKLET IN FTF / IF MODE IS WEB:
Survey Question(s)	NONREG_REASON
Interviewer Instruction	{ENTER ALL THAT APPLY}

V202114g	POST: REASON R IS NOT REGISTERED - MY VOTE WOULD NOT MAKE A DIFFERENCE
Question	What is the main reason you are not registered to vote? You can just give me the number or numbers of your choices.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R IS NOT REGISTERED TO VOTE: IF R HAS BOOKLET IN FTF / IF MODE IS WEB:
Survey Question(s)	NONREG_REASON
Interviewer Instruction	{ENTER ALL THAT APPLY}

V202114h	POST: REASON R IS NOT REGISTERED - PERMANENT ILLNESS OR DISABILITY
Question	What is the main reason you are not registered to vote? You can just give me the number or numbers of your choices.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R IS NOT REGISTERED TO VOTE: IF R HAS BOOKLET IN FTF / IF MODE IS WEB:
Survey Question(s)	NONREG_REASON
Interviewer Instruction	{ENTER ALL THAT APPLY}

V202114i	POST: REASON R IS NOT REGISTERED - DIFFICULTY WITH ENGLISH
Question	What is the main reason you are not registered to vote? You can just give me the number or numbers of your choices.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R IS NOT REGISTERED TO VOTE: IF R HAS BOOKLET IN FTF / IF MODE IS WEB:
Survey Question(s)	NONREG_REASON
Interviewer Instruction	{ENTER ALL THAT APPLY}

V202114j	POST: REASON R IS NOT REGISTERED - NOT ELIGIBLE TO VOTE
Question	What is the main reason you are not registered to vote? You can just give me the number or numbers of your choices.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R IS NOT REGISTERED TO VOTE: IF R HAS BOOKLET IN FTF / IF MODE IS WEB:
Survey Question(s)	NONREG_REASON
Interviewer Instruction	{ENTER ALL THAT APPLY}

V202114k	POST: REASON R IS NOT REGISTERED - OTHER
Question	What is the main reason you are not registered to vote? You can just give me the number or numbers of your choices.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R IS NOT REGISTERED TO VOTE: IF R HAS BOOKLET IN FTF / IF MODE IS WEB:
Survey Question(s)	NONREG_REASON
Interviewer Instruction	{ENTER ALL THAT APPLY}

V202114z	POST: REASON R IS NOT REGISTERED - OTHER {SPECIFY}
Question	You said there were other reasons you are not registered to vote. What are those reasons?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R IS NOT REGISTERED TO VOTE: IF R HAS BOOKLET IN FTF / IF MODE IS WEB: IF REASON R IS NOT REGISTERED WAS GIVEN AS ‘OTHER’:
Survey Question(s)	NONREG_OTHREASON

V202115	POST: MAIN REASON WHY R IS NOT REGISTERED (NO BOOKLET)
Question	What is the main reason you are not registered to vote?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R IS NOT REGISTERED TO VOTE: IF R DOES NOT HAVE BOOKLET IN FTF:
Survey Question(s)	NONREG_REASONNOBKLT
Interviewer Instruction	{TYPE VERBATIM AND READ BACK R’S ANSWER TO CONFIRM. PROBE “Was there any other reason you are not registered to vote?” UNTIL R SAYS NO.}

V202116	POST: WHEN R VOTED IN 2020 ELECTION
Question	When did you cast your vote in the 2020 general election?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. On election day 2. A few days before election day 3. A week or more before election day
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_WHENVOTE

V202117	POST: HOW R VOTED IN 2020 ELECTION
Question	How did you vote?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. In person, at the polling place 2. By mail or absentee ballot
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_HOWVOTE

V202118	POST: HOW DOES R USUALLY VOTE
Question	Thinking back to previous elections, how do you usually vote?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. In-person, at the polling place 2. By mail or absentee ballot 3. This is my first time voting
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_USUALVOTE

V202119	POST: HOW DIFFICULT WAS IT FOR R TO VOTE
Question	How difficult was it for you to vote in this election?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Not difficult at all 2. A little difficult 3. Moderately difficult 4. Very difficult 5. Extremely difficult
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_VOTEHARD
Response Order	Forward/Reverse order

V202120a	POST: DID R ENCOUNTER ANY PROBLEMS VOTING - REGISTRATION PROBLEM
Question	Did you encounter any of the following problems in trying to vote in this election?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_VOTEPROB
Interviewer Instruction	{IF R DOES NOT HAVE BOOKLET} READ LIST

V202120b	POST: DID R ENCOUNTER ANY PROBLEMS VOTING - CONCERN ABOUT IDENTIFICATION CARD
Question	Did you encounter any of the following problems in trying to vote in this election?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_VOTEPROB
Interviewer Instruction	{IF R DOES NOT HAVE BOOKLET} READ LIST

V202120c	POST: DID R ENCOUNTER ANY PROBLEMS VOTING - DIFFICULTY OBTAINING ABSENTEE BALLOT
Question	Did you encounter any of the following problems in trying to vote in this election?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_VOTEPROB
Interviewer Instruction	{IF R DOES NOT HAVE BOOKLET} READ LIST

V202120d	POST: DID R ENCOUNTER ANY PROBLEMS VOTING - CONFUSION ABOUT BALLOT OR MACHINE
Question	Did you encounter any of the following problems in trying to vote in this election?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_VOTEPROB
Interviewer Instruction	{IF R DOES NOT HAVE BOOKLET} READ LIST

V202120e	POST: DID R ENCOUNTER ANY PROBLEMS VOTING - DIFFICULTY GETTING TO POLLING PLACE
Question	Did you encounter any of the following problems in trying to vote in this election?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_VOTEPROB
Interviewer Instruction	{IF R DOES NOT HAVE BOOKLET} READ LIST

V202120f	POST: DID R ENCOUNTER ANY PROBLEMS VOTING - LONG WAIT TIMES
Question	Did you encounter any of the following problems in trying to vote in this election?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_VOTEPROB
Interviewer Instruction	{IF R DOES NOT HAVE BOOKLET} READ LIST

V202120g	POST: DID R ENCOUNTER ANY PROBLEMS VOTING - WORK SCHEDULE
Question	Did you encounter any of the following problems in trying to vote in this election?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_VOTEPROB
Interviewer Instruction	{IF R DOES NOT HAVE BOOKLET} READ LIST

V202120h	POST: DID R ENCOUNTER ANY PROBLEMS VOTING - BAD WEATHER
Question	Did you encounter any of the following problems in trying to vote in this election?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_VOTEPROB
Interviewer Instruction	{IF R DOES NOT HAVE BOOKLET} READ LIST

V202120i	POST: DID R ENCOUNTER ANY PROBLEMS VOTING - ISSUE MAILING BALLOT
Question	Did you encounter any of the following problems in trying to vote in this election?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_VOTEPROB
Interviewer Instruction	{IF R DOES NOT HAVE BOOKLET} READ LIST

V202120j	POST: DID R ENCOUNTER ANY PROBLEMS VOTING - OTHER PROBLEM
Question	Did you encounter any of the following problems in trying to vote in this election?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_VOTEPROB
Interviewer Instruction	{IF R DOES NOT HAVE BOOKLET} READ LIST

V202120k	POST: DID R ENCOUNTER ANY PROBLEMS VOTING - NONE AT ALL
Question	Did you encounter any of the following problems in trying to vote in this election?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_VOTEPROB
Interviewer Instruction	{IF R DOES NOT HAVE BOOKLET} READ LIST

V202120z	POST: DID R ENCOUNTER ANY PROBLEMS VOTING - OTHER {SPECIFY}
Question	Did you encounter any of the following problems in trying to vote in this election?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED:
Survey Question(s)	VOTEEXP_VOTEPROB
Interviewer Instruction	{IF R DOES NOT HAVE BOOKLET} READ LIST

V202121	POST: HOW LONG WAS WAIT TIME AT POLLING PLACE
Question	About how long was the wait time at your polling place?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. 0-15 minutes 2. 16-30 minutes 3. 31-59 minutes 4. 1-2 hours 5. More than 2 hours
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED: IF R VOTED IN-PERSON:
Survey Question(s)	VOTEEXP_WAITTIME

V202122	POST: HOW LONG DOES IT TAKE TO GET TO POLLING PLACE
Question	About how long does it take you to travel to your polling place?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. 0-15 minutes 2. 16-30 minutes 3. 31-59 minutes 4. 1-2 hours 5. More than 2 hours
Universe	IF R INDICATED IN THE PRE THAT R ALREADY VOTED / IF R REPORTED IN THE POST THAT R VOTED: IF R VOTED IN-PERSON:
Survey Question(s)	VOTEEXP_TRVLTIME

V202123	POST: MAIN REASON R DID NOT VOTE
Question	What is the main reason you did not vote?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. I forgot 2. I’m not interested 3. Too busy 4. Did not like the candidates 5. I am not registered 6. I did not have the correct form of identification 7. Out of town 8. Sick or disabled 9. Transportation 10. Bad weather 11. The line at the polls was too long 12. I was not allowed to vote at the polls, even though I tried 13. I requested but did not receive an absentee ballot 14. I did not know where to vote 15. I did not feel that I knew enough about the choices 16. Other {SPECIFY}
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF R HAS BOOKLET IN FTF / IF MODE IS WEB:
Survey Question(s)	VOTEEXP_NOVOTERSN

V202123z	POST: MAIN REASON R DID NOT VOTE - OTHER {SPECIFY}
Question	What is the main reason you did not vote?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF R HAS BOOKLET IN FTF / IF MODE IS WEB:
Survey Question(s)	VOTEEXP_NOVOTERSN

V202124	POST: ANY OTHER REASON R DID NOT VOTE
Question	Was there any other reason you did not vote?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. I forgot 2. I’m not interested 3. Too busy 4. Did not like the candidates 5. I am not registered 6. I did not have the correct form of identification 7. Out of town 8. Sick or disabled 9. Transportation 10. Bad weather 11. The line at the polls was too long 12. I was not allowed to vote at the polls, even though I tried 13. I requested but did not receive an absentee ballot 14. I did not know where to vote 15. I did not feel that I knew enough about the choices 16. Other {SPECIFY} 17. There were no other reasons {VOL}
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF R HAS BOOKLET IN FTF / IF MODE IS WEB: IF MAIN REASON R DID NOT VOTE WAS NOT DON’T KNOW:
Survey Question(s)	VOTEEXP_NOVOTEOTHRSN

V202124z	POST: ANY OTHER REASON R DID NOT VOTE - OTHER {SPECIFY}
Question	Was there any other reason you did not vote?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF R HAS BOOKLET IN FTF / IF MODE IS WEB: IF MAIN REASON R DID NOT VOTE WAS NOT DON’T KNOW:
Survey Question(s)	VOTEEXP_NOVOTEOTHRSN

V202125	POST: MAIN REASON R DID NOT VOTE (NO BOOKLET)
Question	What is the main reason you did not vote?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R DID NOT INDICATE IN THE PRE THAT R ALREADY VOTED: IF R DID NOT REPORT IN THE POST THAT R VOTED: IF R DOES NOT HAVE BOOKLET IN FTF:
Survey Question(s)	VOTEEXP_NOVOTERSNNOBKLT
Interviewer Instruction	{TYPE VERBATIM AND READ BACK R’S ANSWER TO CONFIRM. PROBE “Was there any other reason you did not vote?” UNTIL R SAYS NO.}

V202135	POST: OFFICE RECALL - COMMIT TO NOT LOOK UP ANSWERS
Question	We are interested in the guesses people make when they do not know the answer to a question. We will ask you several questions. Some may be easy, but others are meant to be so difficult that you will have to guess.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. I promise to try my best without looking up any answers 2. I do not want to make that promise 3. {CONTINUE} - video/phone only
Survey Question(s)	OFCREC_COMMIT
Interviewer Instruction	{DOUBLE-CHECK THAT SCREEN IS NOT WITHIN VIEW OF THE RESPONDENT}

V202136	POST: OFFICE RECALL: CATCH QUESTION - LEMANU PELETI MAUGA
Question	The first name is: Lemanu Peleti Mauga What job or political office does he now hold?
Value Labels	-2. Open-end responses available in separate file
Universe	IF MODE=WEB:
Survey Question(s)	OFCREC_CATCH

V202136y	POST: OFFICE RECALL: CATCH QUESTION - LEMANU PELETI MAUGA [CODED]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Incorrect 1. Correct

V202137	POST: OFFICE RECALL: FEEDBACK 1
Question	You are right! Did you look up the answer to that question, or did you already know it yourself?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. I looked it up 2. I already knew it
Universe	IF MODE=WEB / IF CATCH ANSWERED CORRECTLY = RESPONSE INCLUDES “SAMOA” OR “GOV”:
Survey Question(s)	OFCREC_FEEDBACK1

V202138	POST: OFFICE RECALL: VICE-PRESIDENT - MIKE PENCE
Question	The first name is: Mike Pence What job or political office does he now hold?
Value Labels	-2. Open-end responses available in separate file
Survey Question(s)	OFCREC_KNVP
Interviewer Instruction	{TYPE R’S EXACT RESPONSE, WORD-FOR-WORD} {PROBE ‘DON’T KNOW’ RESPONSE WITH: ‘WELL, WHAT’S YOUR BEST GUESS?’}

V202138y	POST: OFFICE RECALL: VICE-PRESIDENT - MIKE PENCE [CODED]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Incorrect 1. Correct

V202139	POST: OFFICE RECALL: SPEAKER OF THE HOUSE - NANCY PELOSI
Question	Nancy Pelosi What job or political office does she now hold?
Value Labels	-2. Open-end responses available in separate file
Survey Question(s)	OFCREC_KNSPK
Interviewer Instruction	{TYPE R’S EXACT RESPONSE, WORD-FOR-WORD} {PROBE ‘DON’T KNOW’ RESPONSE WITH: ‘WELL, WHAT’S YOUR BEST GUESS?’}

V202139y1	POST: OFFICE RECALL: SPEAKER OF THE HOUSE - NANCY PELOSI [CODED/SCHEME 1]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Incorrect 1. Correct

V202139y2	POST: OFFICE RECALL: SPEAKER OF THE HOUSE - NANCY PELOSI [CODED/SCHEME 2]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Incorrect 1. Partially correct 2. Correct

V202140	POST: OFFICE RECALL: GERMAN CHANCELLOR - ANGELA MERKEL
Question	Angela Merkel What job or political office does she now hold?
Value Labels	-2. Open-end responses available in separate file
Survey Question(s)	OFCREC_KNGMCH
Interviewer Instruction	{TYPE R’S EXACT RESPONSE, WORD-FOR-WORD} {PROBE ‘DON’T KNOW’ RESPONSE WITH: ‘WELL, WHAT’S YOUR BEST GUESS?’}

V202140y1	POST: OFFICE RECALL: GERMAN CHANCELLOR - ANGELA MERKEL [CODED/SCHEME 1]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Incorrect 1. Correct

V202140y2	POST: OFFICE RECALL: GERMAN CHANCELLOR - ANGELA MERKEL [CODED/SCHEME 2]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Incorrect 1. Correct

V202141	POST: OFFICE RECALL: RUSSIAN PRESIDENT - VLADIMIR PUTIN
Question	Vladimir Putin What job or political office does he now hold?
Value Labels	-2. Open-end responses available in separate file
Survey Question(s)	OFCREC_KNRUS
Interviewer Instruction	{TYPE R’S EXACT RESPONSE, WORD-FOR-WORD} {PROBE ‘DON’T KNOW’ RESPONSE WITH: ‘WELL, WHAT’S YOUR BEST GUESS?’}

V202141y1	POST: OFFICE RECALL: RUSSIAN PRESIDENT - VLADIMIR PUTIN [CODED/SCHEME 1]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Incorrect 1. Correct

V202141y2	POST: OFFICE RECALL: RUSSIAN PRESIDENT - VLADIMIR PUTIN [CODED/SCHEME 2]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Incorrect 1. Correct

V202142	POST: OFFICE RECALL: SCOTUS CHIEF JUSTICE - JOHN ROBERTS
Question	John Roberts What job or political office does he now hold?
Value Labels	-2. Open-end responses available in separate file
Survey Question(s)	OFCREC_KNCHJ
Interviewer Instruction	{TYPE R’S EXACT RESPONSE, WORD-FOR-WORD} {PROBE ‘DON’T KNOW’ RESPONSE WITH: ‘WELL, WHAT’S YOUR BEST GUESS?’}

V202142y1	POST: OFFICE RECALL: SCOTUS CHIEF JUSTICE - JOHN ROBERTS [CODED/SCHEME 1]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Incorrect 1. Partially correct 2. Correct

V202142y2	POST: OFFICE RECALL: SCOTUS CHIEF JUSTICE - JOHN ROBERTS [CODED/SCHEME 2]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Incorrect 1. Correct

INTRO POST-ELECTION POLITICAL FIGURE THERMOMETERS

I’d like to get your feelings toward some of our politicalleaders 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 thatperson using something we call the feeling thermometer.
Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the person. Ratings between 0 degrees and 50 degrees mean that you don’t feel favorable toward the person and that you don’t care too much for that person. You would rate the person at the 50 degree mark if you don’t feel particularly warm or cold toward the person.
If we come to a person whose name you don’t recognize, youdon’t need to rate that person. Just tell me and we’ll move on to the next one.

V202143	POST: FEELING THERMOMETER: DEMOCRATIC PRESIDENTIAL CANDIDATE: JOE BIDEN
Question	On the feeling thermometer scale from 0 to 100, how would you rate Joe Biden?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error
Survey Question(s)	THERMPO_THPODPC
Randomization	Order of Democratic and Republican Presidential cand thermometer ratings
Interviewer Instruction	{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? ENTER number 0-100}

V202144	POST: FEELING THERMOMETER: REPUBLICAN PRESIDENTIAL CANDIDATE: DONALD TRUMP
Question	How would you rate: Donald Trump
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error
Survey Question(s)	THERMPO_THPORPC
Randomization	Order of Democratic and Republican Presidential cand thermometer ratings
Interviewer Instruction	{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? ENTER number 0-100}

V202145	POST: FEELING THERMOMETER: HOUSE DEMOCRATIC CANDIDATE
Question	How would you rate: [Democratic candidate for respondent’s preloaded U.S. House district]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable 998. Don’t know 999. Don’t recognize
Universe	IF DEMOCRATIC CANDIDATE IN U.S. HOUSE RACE IN R’S CURRENT DISTRICT:
Survey Question(s)	THERMPO_THPOHDC
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202146	POST: FEELING THERMOMETER: HOUSE REPUBLICAN CANDIDATE
Question	How would you rate: [Republican candidate for respondent’s preloaded U.S. House district]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable 998. Don’t know 999. Don’t recognize
Universe	IF REPUBLICAN CANDIDATE IN U.S. HOUSE RACE IN R’S CURRENT DISTRICT:
Survey Question(s)	THERMPO_THPOHRC
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202147	POST: FEELING THERMOMETER: HOUSE IND/3RD-PARTY CANDIDATE
Question	How would you rate: [Independent candidate for respondent’s preloaded U.S. House district]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable 999. Don’t recognize
Universe	IF INDEPENDENT/3rd-PARTY CANDIDATE IN U.S. HOUSE RACE IN R’S CURRENT DISTRICT:
Survey Question(s)	THERMPO_THPOHOTH
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202148	POST: FEELING THERMOMETER: SENATE DEMOCRATIC CANDIDATE
Question	How would you rate: [Democratic Senate candidate for respondent’s preloaded state]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable 998. Don’t know 999. Don’t recognize
Universe	IF SENATE RACE IN R’S CURRENT STATE: IF DEMOCRATIC CANDIDATE IN SENATE RACE:
Survey Question(s)	THERMPO_THPOSDC
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202149	POST: FEELING THERMOMETER: SENATE REPUBLICAN CANDIDATE
Question	How would you rate: [Republican Senate candidate for respondent’s preloaded state]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable 998. Don’t know 999. Don’t recognize
Universe	IF SENATE RACE IN R’S CURRENT STATE: IF REPUBLICAN CANDIDATE IN SENATE RACE:
Survey Question(s)	THERMPO_THPOSRC
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202150	POST: FEELING THERMOMETER: SENATE IND/3RD-PARTY CANDIDATE
Question	How would you rate: [Independent Senate candidate for respondent’s preloaded state]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable 999. Don’t recognize
Universe	IF SENATE RACE IN R’S CURRENT STATE: IF INDEPENDENT CANDIDATE IN SENATE RACE:
Survey Question(s)	THERMPO_THPOSOTH
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202151	POST: FEELING THERMOMETER: SPECIAL SENATE DEMOCRATIC CANDIDATE
Question	How would you rate: [Democratic Special Senate candidate for respondent’s preloaded state]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable
Universe	IF SPECICAL SENATE RACE IN R’S CURRENT STATE: IF DEMOCRATIC CANDIDATE IN SPECIAL SENATE RACE: IF R’S CURRENT STATE IS ARIZONA:
Survey Question(s)	THERMPO_THPOSSDC
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202152	POST: FEELING THERMOMETER: SPECIAL SENATE REPUBLICAN CANDIDATE
Question	How would you rate: [Republican Special Senate candidate for respondent’s preloaded state]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable 998. Don’t know
Universe	IF SPECIAL SENATE RACE IN R’S CURRENT STATE: IF REPUBLICAN CANDIDATE IN SPECIAL SENATE RACE:
Survey Question(s)	THERMPO_THPOSSRC
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202152oth	POST: FEELING THERMOMETER: SPECIAL SENATE IND/OTHER CANDIDATE
Question	How would you rate: [Independent Special Senate candidate for respondent’s preloaded state]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable 998. Don’t know 999. Don’t recognize
Variable Note	The candidate name shown to a respondent was Douglas Allen “Doug” Collins.
Universe	IF SPECIAL SENATE RACE IN R’S CURRENT STATE: IF INDEPENDENT CANDIDATE IN SPECIAL SENATE RACE:
Survey Question(s)	THERMPO_THPOSSOTH
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202153	POST: FEELING THERMOMETER: SR. SENATOR IN STATE WITHOUT RACE
Question	How would you rate: [Senior senator for respondent’s preloaded state]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable 998. Don’t know 999. Don’t recognize
Universe	IF NO SENATE RACE IN R’s CURRENT STATE:
Survey Question(s)	THERMPO_THPOSENSR
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202154	POST: FEELING THERMOMETER: JR. SENATOR IN STATE WITHOUT RACE
Question	How would you rate: [Junior senator for respondent’s preloaded state]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable 998. Don’t know 999. Don’t recognize
Variable Note	Survey respondents in California weren’t asked about Kamala Harris although she was California’s junior U.S. Senator. This was because here name was used in V202156: POST: Feeling thermometer: Democratic Vice Presidential candidate: Kamala Harris.
Universe	IF NO SENATE RACE IN R’s CURRENT STATE:
Survey Question(s)	THERMPO_THPOSENJR
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202155	POST: FEELING THERMOMETER: NONRUNNING SENATOR IN STATE W/RACE
Question	How would you rate: [Senator not up for reelection in respondent’s preloaded state]
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable 998. Don’t know 999. Don’t recognize
Universe	IF SENATE RACE IN R’s CURRENT STATE:
Survey Question(s)	THERMPO_THPOSENNOT
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202156	POST: FEELING THERMOMETER: DEMOCRATIC VICE PRESIDENTIAL CANDIDATE: KAMALA HARRIS
Question	How would you rate: Kamala Harris
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMPO_THPODVPC
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202157	POST: FEELING THERMOMETER: REPUBLICAN VICE PRESIDENTIAL CANDIDATE: MIKE PENCE
Question	How would you rate: Mike Pence
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 999. Don’t recognize
Survey Question(s)	THERMPO_THPORVPC
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

V202158	POST: FEELING THERMOMETER: DR. ANTHONY FAUCI
Question	How would you rate: Dr. Anthony Fauci
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMPO_THFAUCI
Randomization	Order of thermometer names after major party Presidential candidate thermometers
Interviewer Instruction	{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? ENTER number 0-100}

INTRO POST-ELECTION GROUP THERMOMETERS

Still using the feeling thermometer scale from 0 to 100, how would you rate the following groups:

V202159	POST: FEELING THERMOMETER: CHRISTIAN FUNDAMENTALISTS
Question	How would you rate: Christian Fundamentalists
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_THGRFUND
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202160	POST: FEELING THERMOMETER: FEMINISTS
Question	How would you rate: Feminists
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_THGRFEM
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202161	POST: FEELING THERMOMETER: LIBERALS
Question	How would you rate: Liberals
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 999. Don’t recognize
Survey Question(s)	THERMGR_THGRLIB
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202162	POST: FEELING THERMOMETER: LABOR UNIONS
Question	How would you rate: Labor unions
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_THGRLAB
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202163	POST: FEELING THERMOMETER: BIG BUSINESS
Question	How would you rate: Big business
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_THGRBIGB
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202164	POST: FEELING THERMOMETER: CONSERVATIVES
Question	How would you rate: Conservatives
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 999. Don’t recognize
Survey Question(s)	THERMGR_THGRCONS
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202165	POST: FEELING THERMOMETER: U.S. SUPREME COURT
Question	How would you rate: The U.S. Supreme Court
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error
Survey Question(s)	THERMGR_THGRSCT
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202166	POST: FEELING THERMOMETER: GAY MEN AND LESBIANS
Question	How would you rate: Gay men and lesbians
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_THGRGAY
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202167	POST: FEELING THERMOMETER: CONGRESS
Question	How would you rate: Congress
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know
Survey Question(s)	THERMGR_THGRCONG
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202168	POST: FEELING THERMOMETER: MUSLIMS
Question	How would you rate: Muslims
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know
Survey Question(s)	THERMGR_THGRMUSL
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202169	POST: FEELING THERMOMETER: CHRISTIANS
Question	How would you rate: Christians
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know
Survey Question(s)	THERMGR_THGRXTIAN
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202170	POST: FEELING THERMOMETER: JEWS
Question	How would you rate: Jews
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know
Survey Question(s)	THERMGR_JEWS
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202171	POST: FEELING THERMOMETER: POLICE
Question	How would you rate: Police
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error
Survey Question(s)	THERMGR_POLICE
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202172	POST: FEELING THERMOMETER: TRANSGENDER PEOPLE
Question	How would you rate: Transgender people
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know
Survey Question(s)	THERMGR_TRANS
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202173	POST: FEELING THERMOMETER: SCIENTISTS
Question	How would you rate: Scientists
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know
Survey Question(s)	THERMGR_SCIENT
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202174	POST: FEELING THERMOMETER: BLACK LIVES MATTER
Question	How would you rate: Black Lives Matter movement
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_BLM
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202175	POST: FEELING THERMOMETER: JOURNALISTS
Question	How would you rate: Journalists
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_JOURN
Randomization	Set 1: Randomize the order of THGRFUND, THGRFEM, THGRLIB, THGRLAB, THGRBIGB, THGRCONS, THGRSCT, THGRGAY, THGRCONG, THGRMUSL, THGRXTIAN, JEWS, POLICE, TRANS, SCIENT, BLM, JOURN
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202176	POST: FEELING THERMOMETER: NORTH ATLANTIC TREATY ORGANIZATION (NATO)
Question	How would you rate: NATO
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_NATO
Randomization	Set 2: Randomize the order of NATO, UN, NRA, SOCIAL, CAPITAL, FBI, ICE, METOO, RURAL, PLANPARENT, WHO, CDC
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202177	POST: FEELING THERMOMETER: UNITED NATIONS (UN)
Question	How would you rate: The United Nations (UN)
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_UN
Randomization	Set 2: Randomize the order of NATO, UN, NRA, SOCIAL, CAPITAL, FBI, ICE, METOO, RURAL, PLANPARENT, WHO, CDC
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202178	POST: FEELING THERMOMETER: NATIONAL RIFLE ASSOCIATION (NRA)
Question	How would you rate: The National Rifle Association (NRA)
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_NRA
Randomization	Set 2: Randomize the order of NATO, UN, NRA, SOCIAL, CAPITAL, FBI, ICE, METOO, RURAL, PLANPARENT, WHO, CDC
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202179	POST: FEELING THERMOMETER: SOCIALISTS
Question	How would you rate: Socialists
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_SOCIAL
Randomization	Set 2: Randomize the order of NATO, UN, NRA, SOCIAL, CAPITAL, FBI, ICE, METOO, RURAL, PLANPARENT, WHO, CDC
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202180	POST: FEELING THERMOMETER: CAPITALISTS
Question	How would you rate: Capitalists
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_CAPITAL
Randomization	Set 2: Randomize the order of NATO, UN, NRA, SOCIAL, CAPITAL, FBI, ICE, METOO, RURAL, PLANPARENT, WHO, CDC
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202181	POST: FEELING THERMOMETER: FEDERAL BUREAU OF INVESTIGATION (FBI)
Question	How would you rate: The Federal Bureau of Investigation (FBI)
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_FBI
Randomization	Set 2: Randomize the order of NATO, UN, NRA, SOCIAL, CAPITAL, FBI, ICE, METOO, RURAL, PLANPARENT, WHO, CDC
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202182	POST: FEELING THERMOMETER: IMMIGRATION AND CUSTOMS ENFORCEMENT (ICE) AGENCY
Question	How would you rate: The Immigration and Customs Enforcement (ICE) agency
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_ICE
Randomization	Set 2: Randomize the order of NATO, UN, NRA, SOCIAL, CAPITAL, FBI, ICE, METOO, RURAL, PLANPARENT, WHO, CDC
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202183	POST: FEELING THERMOMETER: #METOO MOVEMENT
Question	How would you rate: The #MeToo movement
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_METOO
Randomization	Set 2: Randomize the order of NATO, UN, NRA, SOCIAL, CAPITAL, FBI, ICE, METOO, RURAL, PLANPARENT, WHO, CDC
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202184	POST: FEELING THERMOMETER: RURAL AMERICANS
Question	How would you rate: Rural Americans
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_RURAL
Randomization	Set 2: Randomize the order of NATO, UN, NRA, SOCIAL, CAPITAL, FBI, ICE, METOO, RURAL, PLANPARENT, WHO, CDC
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202185	POST: FEELING THERMOMETER: PLANNED PARENTHOOD
Question	How would you rate: Planned Parenthood
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_PLANPARENT
Randomization	Set 2: Randomize the order of NATO, UN, NRA, SOCIAL, CAPITAL, FBI, ICE, METOO, RURAL, PLANPARENT, WHO, CDC
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202186	POST: FEELING THERMOMETER: WORLD HEALTH ORGANIZATION (WHO)
Question	How would you rate: The World Health Organization (WHO)
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_WHO
Randomization	Set 2: Randomize the order of NATO, UN, NRA, SOCIAL, CAPITAL, FBI, ICE, METOO, RURAL, PLANPARENT, WHO, CDC
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202187	POST: FEELING THERMOMETER: CENTER FOR DISEASE CONTROL (CDC)
Question	How would you rate: The Centers for Disease Control (CDC)
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 998. Don’t know 999. Don’t recognize
Survey Question(s)	THERMGR_CDC
Randomization	Set 2: Randomize the order of NATO, UN, NRA, SOCIAL, CAPITAL, FBI, ICE, METOO, RURAL, PLANPARENT, WHO, CDC
Interviewer Instruction	{PROBE FOR DON’T KNOW RESPONSE: when you say don’t know, do you mean that you don’t know who this is or do you have something else in mind? ENTER number 0-100 }

V202200	POST: APPROVE OR DISAPPROVE OF HOUSE INCUMBENT
Question	In general, do you approve or disapprove of the way [Representative for Respondent’s preloaded district in the expiring Congress] has been handling [his/her] job?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Approve 2. Disapprove
Universe	IF NAME OF U.S. HOUSE REPRESENTATIVE IN OFFICE PRIOR TO THE ELECTION IS PRELOADED:
Survey Question(s)	INCUMBHS_HINCAPP

V202201	POST: HOW MUCH APPROVE HOUSE INCUMBENT
Question	Do you approve strongly or not strongly?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF NAME OF U.S. HOUSE REPRESENTATIVE IN OFFICE PRIOR TO THE ELECTION IS PRELOADED: IF R APPROVES HOUSE INCUMBENT JOB:
Survey Question(s)	INCUMBHS_HINCAPPSTR

V202202	POST: HOW MUCH DISAPPROVE HOUSE INCUMBENT
Question	Do you disapprove strongly or not strongly?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF NAME OF U.S. HOUSE REPRESENTATIVE IN OFFICE PRIOR TO THE ELECTION IS PRELOADED: IF R DISAPPROVES HOUSE INCUMBENT JOB:
Survey Question(s)	INCUMBHS_HINDISSTR

V202203x	POST: SUMMARY: APPROVE/DISAPPROVE HOUSE INCUMBENT
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202200, V202201, or V202202 -1. Inapplicable 1. Approve strongly 2. Approve not strongly 3. Disapprove not strongly 4. Disapprove strongly

V202204	POST: HOW GOOD A JOB DOES HOUSE INCUMBENT DO IN DISTRICT
Question	How good a job would you say U.S. Representative [Representative for Respondent’s preloaded district in the expiring Congress] 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?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Very good 2. Fairly good 3. Fairly poor 4. Very poor
Universe	IF NAME OF U.S. HOUSE REPRESENTATIVE IN OFFICE PRIOR TO THE ELECTION IS PRELOADED:
Survey Question(s)	INCUMBHS_HINCTOUCH
Response Order	Forward/Reverse order

V202205	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1 [TEXT]
Question	Switching to another topic. What do you think are the most important problems facing this country?If you think there are more than one, please briefly tell me one problem now.
Value Labels	-2. Open-end responses available in separate file
Survey Question(s)	MIP_PROB1
Interviewer Instruction	{CODE DK FOR DK. CODE RF FOR RF. PROBE IF THE ANSWER IS ONLY 1 OR TWO WORDS FOR A TOPIC SUCH AS ‘EDUCATION’ OR ‘NUCLEAR POWER’ BUT A PROBLEM RELATED TO THE TOPIC IS NOT SPECIFIED: Can you briefly tell me what is the problem with ______?’}

V202205y1	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 1 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Coding error -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y2	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 2 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Coding error -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y3	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 3 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y4	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 4 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y5	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 5 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y6	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 6 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y7	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 7 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y8	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 8 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y9	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 9 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y10	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 10 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y11	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 11 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y12	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 12 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y13	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 13 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y14	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 14 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y15	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 15 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202205y16	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 1, IDEA 16 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202206	POST: PARTY TO DEAL WITH MENTION 1 MIP
Question	Which political party do you think would be the most likely to get thegovernment to do a better job in dealing with this problem – the Democrats, the Republicans or wouldn’t there be much difference between them?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Democrats 2. Republicans 3. Wouldn’t be much difference
Universe	IF FIRST MENTION OF MOST IMPORTANT PROBLEM IS NOT DK, SK OR REFUSED:
Survey Question(s)	MIP_PROB1PTY
Randomization	Order of party names in question text (same order used for all mentions if R mentions more than 1 problem). Order of response options 1-2 (randomized same, do not use ballotcolor)
Response Order	Randomize 2 major parties

V202207	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2 [TEXT]
Question	Can you think of any other important problems facing this country? If so,please briefly mention one of them now.
Value Labels	-2. Open-end responses available in separate file
Universe	IF FIRST MENTION OF MOST IMPORTANT PROBLEM IS NOT DK, SK, OR REFUSED:
Survey Question(s)	MIP_PROB2
Interviewer Instruction	{CODE DK FOR DK. CODE RF FOR RF. PROBE IF THE ANSWER IS ONLY 1 OR TWO WORDS FOR A TOPIC SUCH AS ‘EDUCATION’ OR ‘NUCLEAR POWER’ BUT A PROBLEM RELATED TO THE TOPIC IS NOT SPECIFIED: Can you briefly tell me what is the problem with ______?’}

V202207y1	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2, IDEA 1 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202207y2	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2, IDEA 2 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Coding error -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202207y3	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2, IDEA 3 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202207y4	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2, IDEA 4 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202207y5	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2, IDEA 5 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202207y6	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2, IDEA 6 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202207y7	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2, IDEA 7 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202207y8	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2, IDEA 8 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202207y9	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2, IDEA 9 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202207y10	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2, IDEA 10 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202207y11	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2, IDEA 11 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202207y12	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2, IDEA 12 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202207y13	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 2, IDEA 13 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202208	POST: PARTY TO DEAL WITH MENTION 2 MIP
Question	Which political party do you think would be the most likely to get thegovernment to do a better job in dealing with this problem – the Democrats, the Republicans or wouldn’t there be much difference between them?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Democrats 2. Republicans 3. Wouldn’t be much difference
Universe	IF SECOND MENTION OF MOST IMPORTANT PROBLEM IS NOT DK, SK, OR REFUSED:
Survey Question(s)	MIP_PROB2PTY
Randomization	Order of party names in question text (same order used for all mentions if R mentions more than 1 problem). Order of response options 1-2 (randomized same, do not use ballotcolor)
Response Order	Randomize 2 major parties

V202209	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 3 [TEXT]
Question	Can you think of any other important problems facing this country? If so,please briefly mention one of them now.
Value Labels	-2. Open-end responses available in separate file
Universe	IF SECOND MENTION OF MOST IMPORTANT PROBLEM IS NOT DK, SK, OR REFUSED:
Survey Question(s)	MIP_PROB3
Interviewer Instruction	{CODE DK FOR DK. CODE RF FOR RF. PROBE IF THE ANSWER IS ONLY 1 OR TWO WORDS FOR A TOPIC SUCH AS ‘EDUCATION’ OR ‘NUCLEAR POWER’ BUT A PROBLEM RELATED TO THE TOPIC IS NOT SPECIFIED: Can you briefly tell me what is the problem with ______?’}

V202209y1	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 3, IDEA 1 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202209y2	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 3, IDEA 2 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202209y3	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 3, IDEA 3 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202209y4	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 3, IDEA 4 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202209y5	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 3, IDEA 5 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202209y6	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 3, IDEA 6 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202209y7	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 3, IDEA 7 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202209y8	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 3, IDEA 8 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202209y9	POST: MOST IMPORTANT PROBLEMS FACING THE COUNTRY - MENTION 3, IDEA 9 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202210	POST: PARTY TO DEAL WITH MENTION 3 MIP
Question	Which political party do you think would be the most likely to get thegovernment to do a better job in dealing with this problem – the Democrats, the Republicans or wouldn’t there be much difference between them?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Democrats 2. Republicans 3. Wouldn’t be much difference
Universe	IF THIRD MENTION OF MOST IMPORTANT PROBLEM IS NOT DK, SK, OR REFUSED:
Survey Question(s)	MIP_PROB3PTY
Randomization	Order of party names in question text (same order used for all mentions if R mentions more than 1 problem). Order of response options 1-2 (randomized same, do not use ballotcolor)
Response Order	Randomize 2 major parties

V202211	POST: WHICH AMONG MENTIONS IS THE MOST IMPORTANT PROBLEM [TEXT]
Question	Of those you’ve mentioned, what would you say is the single most important problem the country faces?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R HAS MENTIONED MORE THAN 1 IMPORTANT PROBLEM IN THE COUNTRY:
Survey Question(s)	MIP_MOSTPROB

V202211y1	POST: WHICH AMONG MENTIONS IS THE MOST IMPORTANT PROBLEM - IDEA 1 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202211y2	POST: WHICH AMONG MENTIONS IS THE MOST IMPORTANT PROBLEM - IDEA 2 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202211y3	POST: WHICH AMONG MENTIONS IS THE MOST IMPORTANT PROBLEM - IDEA 3 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202211y4	POST: WHICH AMONG MENTIONS IS THE MOST IMPORTANT PROBLEM - IDEA 4 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202211y5	POST: WHICH AMONG MENTIONS IS THE MOST IMPORTANT PROBLEM - IDEA 5 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202211y6	POST: WHICH AMONG MENTIONS IS THE MOST IMPORTANT PROBLEM - IDEA 6 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202211y7	POST: WHICH AMONG MENTIONS IS THE MOST IMPORTANT PROBLEM - IDEA 7 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202211y8	POST: WHICH AMONG MENTIONS IS THE MOST IMPORTANT PROBLEM - IDEA 8 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202211y9	POST: WHICH AMONG MENTIONS IS THE MOST IMPORTANT PROBLEM - IDEA 9 [CODED]
Value Labels	-9. Refused -8. Don’t know -7. No post data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable See APPENDIX C: “MOST IMPORTANT PROBLEM” CODES for codes 1-997.

V202212	POST: [STD] PUBLIC OFFICIALS DON’T CARE WHAT PEOPLE THINK
Question	For the following statements, please tell me how strongly you agree or disagree: ‘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?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	EFFICPO_CARESTD
Response Order	Forward/Reverse order

V202213	POST: [STD] HAVE NO SAY ABOUT WHAT GOVERMENT DOES
Question	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?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	EFFICPO_SAYSTD
Response Order	Forward/Reverse order

V202214	POST: [REV] POLITICS/GOVERNMENT TOO COMPLICATED TO UNDERSTAND
Question	How often do politics and government seem so complicated that you can’t really understand what’s going on?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 1. Always 2. Most of the time 3. About half the time 4. Some of the time 5. Never
Survey Question(s)	EFFICPO_COMPLICREV
Response Order	Forward/Reverse order

V202215	POST: [REV] HOW WELL DOES R UNDERSTAND IMPORTANT POLITICAL ISSUES
Question	How well do you understand the important political issues facing our country?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Extremely well 2. Very well 3. Moderately well 4. Slightly well 5. Not well at all
Survey Question(s)	EFFICPO_UNDREV
Response Order	Forward/Reverse order

V202216	POST: IMPORTANT DIFFERENCES IN WHAT MAJOR PARTIES STAND FOR
Question	Next, do you think there are any important differences in what the Republicans and Democrats stand for?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes, differences 2. No, no differences
Survey Question(s)	PTYDIFF_IMPDIFFPTY

V202217	POST: IS ONE OF THE PARTIES MORE CONSERVATIVE THAN THE OTHER
Question	Would you say that one of the parties is more conservative than the other at the national level?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes, one party more conservative 2. No, one party not more conservative
Survey Question(s)	PTYCONS_PTYCONS

V202218	POST: WHICH IS THE PARTY THAT IS MORE CONSERVATIVE
Question	Which party is more conservative?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Democrats 2. Republicans
Universe	IF R SAYS THAT ONE OF THE MAJOR PARTIES IS MORE CONSERVATIVE:
Survey Question(s)	PTYCONS_PTYCONSWH

V202219	POST: HOW OFTEN ARE VOTES COUNTED FAIRLY
Question	In your view, how often do the following things occur in this country’s elections: Votes are counted fairly?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. All of the time 2. Most of the time 3. About half of the time 4. Some of the time 5. Never
Survey Question(s)	ELECTINTPO_COUNTFAIR
Response Order	Forward/Reverse order

V202220	POST: HOW IMPORTANT THAT MORE HISPANICS GET ELECTED TO POLITICAL OFFICE
Question	How important is it that more Hispanics be elected to political office?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Survey Question(s)	ELECTMORE_HISP
Response Order	Forward/Reverse order

V202221	POST: HOW IMPORTANT THAT MORE BLACKS GET ELECTED TO POLITICAL OFFICE
Question	How important is it that more blacks be elected to political office?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Survey Question(s)	ELECTMORE_BLACK
Response Order	Forward/Reverse order

V202222	POST: HOW IMPORTANT THAT MORE ASIANS GET ELECTED TO POLITICAL OFFICE
Question	How important is it that more Asians be elected to political office?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Survey Question(s)	ELECTMORE_ASIAN
Response Order	Forward/Reverse order

V202223	POST: HOW IMPORTANT THAT MORE LGBT PEOPLE GET ELECTED TO POLITICAL OFFICE
Question	How important is it that more lesbian, gay, bisexual and transgender people be elected to political office?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Survey Question(s)	ELECTMORE_LGBT
Response Order	Forward/Reverse order

V202224	POST: HOW IMPORTANT THAT MORE WOMEN GET ELECTED TO POLITICAL OFFICE
Question	How important is it that more women be elected to political office?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Survey Question(s)	ELECTMORE_WOMEN
Response Order	Forward/Reverse order

V202225	POST: LIMITS ON CAMPAIGN SPENDING
Question	Do you favor, oppose, or neither favor nor oppose placing limits on political campaign spending?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	CAMPFIN_SPENDLIM
Randomization	Order of CAMPFIN questions in module, 8 possible orderings: 1) donate,spendlim,org,direct 2) donate,spendlim,direct,org 3) donate,org,direct,spendlim 4) donate,direct,org,spendlim 5) spendlim,org,direct,donate 6) spendlim,direct,org,donate 7) org,direct,spendlim,donate 8) direct,org,spendlim,donate

V202226	POST: CONGRESS PASS LAWS THAT BENEFIT CONTRIBUTOR ORGANIZATION
Question	When organizations spend [$2,500/$250,000] on advertising to support candidates for Congress, how much does Congress respond by passing laws to benefit those organizations?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. Not at all
Survey Question(s)	CAMPFIN_ORG
Randomization	Order of CAMPFIN questions in module, 8 possible orderings: 1) donate,spendlim,org,direct 2) donate,spendlim,direct,org 3) donate,org,direct,spendlim 4) donate,direct,org,spendlim 5) spendlim,org,direct,donate 6) spendlim,direct,org,donate 7) org,direct,spendlim,donate 8) direct,org,spendlim,donate
Response Order	Forward/Reverse order

V202227	POST: CONGRESS PASS LAWS THAT BENEFIT CONTRIBUTOR INDIVIDUALS
Question	When people give [$25/$250/$1,000/$2,500/$5,000] each to the election campaigns of Members of Congress, how much does Congress respond by passing laws to benefit people who gave them money?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. Not at all
Survey Question(s)	CAMPFIN_DIRECT
Randomization	Order of CAMPFIN questions in module, 8 possible orderings: 1) donate,spendlim,org,direct 2) donate,spendlim,direct,org 3) donate,org,direct,spendlim 4) donate,direct,org,spendlim 5) spendlim,org,direct,donate 6) spendlim,direct,org,donate 7) org,direct,spendlim,donate 8) direct,org,spendlim,donate
Response Order	Forward/Reverse order

V202228	POST: CONGRESS CHANGE VOTES BECAUSE OF DONATION TO CAMPAIGN
Question	How often do Members of Congress change their votes on legislation because someone donates money to their campaign?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Never 2. Rarely 3. A moderate amount of time 4. Very often 5. All the time
Survey Question(s)	CAMPFIN_DONATE
Randomization	Order of CAMPFIN questions in module, 8 possible orderings: 1) donate,spendlim,org,direct 2) donate,spendlim,direct,org 3) donate,org,direct,spendlim 4) donate,direct,org,spendlim 5) spendlim,org,direct,donate 6) spendlim,direct,org,donate 7) org,direct,spendlim,donate 8) direct,org,spendlim,donate
Response Order	Forward/Reverse order

V202229	POST: FAVOR OR OPPOSE PLACING NEW LIMITS ON IMPORTS
Question	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?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose
Survey Question(s)	IMPORTS_IMPORTLIM

V202230	POST: FAVOR OR OPPOSE PLACING NEW LIMITS ON IMPORTS (STRENGTH)
Question	Do you [favor/oppose] placing new limits on imports strongly or not strongly?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R FAVORS PLACING NEW LIMITS ON IMPORTS / IF R OPPOSES PLACING NEW LIMITS ON IMPORTS:
Survey Question(s)	IMPORTS_IMPORTLIMSTR

V202231x	POST: SUMMARY: FAVOR/OPPOSE NEW LIMITS ON IMPORTS
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202229 or V202230 1. Favor strongly 2. Favor not strongly 3. Oppose not strongly 4. Oppose strongly

V202232	POST: WHAT SHOULD IMMIGRATION LEVELS BE
Question	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?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Increased a lot 2. Increased a little 3. Left the same as it is now 4. Decreased a little 5. Decreased a lot
Survey Question(s)	IMMIGPO_IMMLEVEL
Response Order	Forward/Reverse order

V202233	POST: HOW LIKELY IMMIGRATION WILL TAKE AWAY JOBS
Question	Now I’d like to ask you about immigration in recent years. How likely is it that recent immigration levels will take jobs away from people already here – extremely likely, very likely, somewhat likely, or not at all likely?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Extremely likely 2. Very likely 3. Somewhat likely 4. Not at all likely
Survey Question(s)	IMMIGPO_IMMJOBS
Response Order	Forward/Reverse order

V202234	POST: FAVOR OR OPPOSE ALLOWING REFUGEES TO COME TO US
Question	Do you favor, oppose, or neither favor nor oppose allowing refugees who are fleeing war, persecution, or natural disasters in other countries to come to live in the U.S.?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	IMMIGPO_REFUGEES

V202235	POST: FAVOR OR OPPOSE ALLOWING REFUGEES TO COME TO US (STRENGTH)
Question	Do you [favor/oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R SAYS FAVOR ALLOWING REFUGEES IN THE U.S. / IF R SAYS OPPOSE ALLOWING REFUGEES IN THE U.S.:
Survey Question(s)	IMMIGPO_REFUGEESSTR
Response Order	Forward/Reverse order

V202236x	POST: SUMMARY: FAVOR/OPPOSE ALLOWING REFUGEES TO COME TO US
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in 202234 or V202235 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V202237	POST: EFFECT OF ILLEGAL IMMIGRATION ON CRIME RATE
Question	Does illegal immigration increase, decrease, or have no effect on the crime rate in the U.S.?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Increase 2. Decrease 3. Have no effect
Survey Question(s)	IMMIGPO_ILLIMCRIME

V202238	POST: EFFECT OF ILLEGAL IMMIGRATION ON CRIME RATE (STRENGTH)
Question	Does it [increase/decrease] the crime rate a lot, a moderate amount, or a little?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A lot 2. A moderate amount 3. A little
Universe	IF R SAYS INCREASES CRIME RATE / IF R SAYS DECREASES CRIME RATE:
Survey Question(s)	IMMIGPO_ILLIMCRIMESTR
Response Order	Forward/Reverse order

V202239x	POST: SUMMARY: EFFECT OF ILLEGAL IMMIRATION ON CRIME RATE
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in 202237 or V202238 1. Increase a lot 2. Increase a moderate amount 3. Increase a little 4. Have no effect 5. Decrease a little 6. Decrease a moderate amount 7. Decrease a lot

V202240	POST: FAVOR OR OPPOSE PROVIDING PATH TO CITIZENSHIP
Question	Do you favor, oppose, or neither favor nor oppose providing a path to citizenship for unauthorized immigrants who obey the law, pay a fine, and pass security checks?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	IMMIGPO_PATHWAY

V202241	POST: FAVOR OR OPPOSE PROVIDING PATH TO CITIZENSHIP (STRENGTH)
Question	Do you [favor/oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R FAVORS PROVIDING A PATH TO CITIZENSHIP / IF R OPPOSES PROVIDING A PATH TO CITIZENSHIP:
Survey Question(s)	IMMIGPO_PATHWAYSTR
Response Order	Forward/Reverse order

V202242x	POST: SUMMARY: FAVOR/OPPOSE PROVIDING PATH TO CITIZESHIP
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in 202240 or V202241 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V202243	POST: FAVOR OR OPPOSE RETURNING UNAUTHORIZED IMMIGRANTS TO NATIVE COUNTRY
Question	Do you favor, oppose, or neither favor nor oppose returning all unauthorized immigrants to their native countries?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	IMMIGPO_RETURN

V202244	POST: FAVOR OR OPPOSE RETURNING UNAUTH IMMIGRANTS TO NATIVE COUNTRY (STRENGTH)
Question	Do you [favor/oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R FAVORS RETURNING ALL UNAUTHORIZED IMMIGRANTS / IF R OPPOSES RETURNING ALL UNAUTHORIZED IMMIGRANTS:
Survey Question(s)	IMMIGPO_RETURNSTR
Response Order	Forward/Reverse order

V202245x	POST: SUMMARY: FAVOR/OPPOSE RETURNING UNAUTHORIZE IMMIGRANTS TO NATIVE COUNTRY
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in 202243 or V202244 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V202246	POST: FAVOR OR OPPOSE SEPARATING CHILDREN OF DETAINED IMMIGRANTS
Question	Do you favor, oppose, or neither favor nor oppose separating the children of detained immigrants, rather than keeping them with their parents in adult detention centers?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	IMMIGPO_FAMSEP

V202247	POST: FAVOR OR OPPOSE SEPARATING CHILDREN OF DETAINED IMMIGRANTS (STRENGTH)
Question	Do you [favor/oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R FAVORS SEPARATING THE CHILDREN OF DETAINED IMMIGRANTS / IF R OPPOSES SEPARATING THE CHILDREN OF DETAINED IMMIGRANTS:
Survey Question(s)	IMMIGPO_FAMSEPSTR
Response Order	Forward/Reverse order

V202248x	POST: SUMMARY: FAVOR/OPPOSE SEPARATING CHILDREN OF DETAINED IMMIGRANTS
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in 202246 or V202247 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V202249	POST: FOR OR AGAINST PREFERENTIAL HIRING/PROMOTION OF BLACKS
Question	What about your opinion – are you for or against preferential hiring and promotion of blacks?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. For preferential hiring and promotion of blacks 2. Against preferential hiring and promotion of blacks
Survey Question(s)	AFFIRM_AFFOPIN

V202250	POST: FAVOR PREFERENTIAL HIRING/PROMOTION OF BLACKS STRONGLY OR NOT STRONGLY
Question	Do you favor preference in hiring and promotion strongly or not strongly?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R IS FOR PREFERENTIAL HIRING AND PROMOTION FOR BLACKS:
Survey Question(s)	AFFIRM_AFFFAV

V202251	POST: OPPOSE PREFERENTIAL HIRING/PROMOTION BLACKS STRONGLY OR NOT STRONGLY
Question	Do you oppose preference in hiring and promotion strongly or not strongly?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Strongly 2. Not strongly
Universe	IF R IS AGAINST PREFERENTIAL HIRING AND PROMOTION FOR BLACKS:
Survey Question(s)	AFFIRM_AFFOPP

V202252x

POST: SUMMARY: FAVOR/OPPOSE PREFERENTIAL HIRING/PROMOTION OF BLACKS

Value Labels

-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF V202249, V202250, or V202251 1. Strongly for preferential hiring/promotion of blacks 2. Not strongly for preferential hiring/promotion of blacks 3. Not strongly against preferential hiring/promotion of blacks 4. Strongly against preferential hiring/promotion of blacks

V202253	POST: LESS GOVERNMENT BETTER OR MORE THAT GOVERNMENT SHOULD BE DOING
Question	Which of the following statements comes closer to your view?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. The less government the better 2. More things government should be doing
Survey Question(s)	LIMTGOV_LESSGOVT
Interviewer Instruction	{IF NECESSARY, PROBE ‘WHICH IS CLOSER’}

V202254	POST: LESS GOVERNMENT BETTER OR MORE THAT GOVERNMENT SHOULD BE DOING (STRENGTH)
Question	How strongly do you feel this way?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Very strongly 2. Somewhat strongly 3. Not strongly
Universe	IF R BELIEVES LESS GOVERNMENT IS BETTER / IF R BELIEVES THERE ARE MORE THINGS FOR THE GOVERNMENT TO DO:
Survey Question(s)	LIMTGOV_LESSGOVTSTR
Response Order	Forward/Reverse order

V202255x

POST:SUMMARY: LESS OR MORE GOVERNMENT

Value Labels

-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF V202253 or V202254 1. Feels strongly less government better 2. Feels somewhat strongly less government better 3. Feels not strongly less government better 4. Feels not strongly more things government should be doing 5. Feels somewhat stongly more things government should be doing 6. Feels strongly more things government should be doing

V202256	POST: WOULD IT BE GOOD FOR SOCIETY TO HAVE MORE OR LESS GOVERNMENT REGULATION
Question	Would it be good for society to have more government regulation, about the same amount of regulation as there is now, or less government regulation?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Much more 2. Somewhat more 3. A little more 4. About the same amount 5. A little less 6. Somewhat less 7. Much less
Survey Question(s)	LIMTGOV_REGULATE
Response Order	Forward/Reverse order

V202257	POST: FAVOR OR OPPOSE GOVERNMENT TRYING TO REDUCE INCOME INEQUALITY
Question	Next, do you favor, oppose, or neither favor nor oppose the governmenttrying to reduce the difference in incomes between the richest and poorest households?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	LIMTGOV_INEQRED

V202258	POST: FAVOR OR OPPOSE GOVERNMENT TRYING TO REDUCE INCOME INEQUALITY (STRENGTH)
Question	Do you [favor/oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R FAVORS GOVT REDUCING DIFFERENCES / IF R OPPOSES GOVT REDUCING DIFFERENCE:
Survey Question(s)	LIMTGOV_INEQREDSTR
Response Order	Forward/Reverse order

V202259x	POST: SUMMARY: FAVOR/OPPOSE GOVERNMENT TRYING TO REDUCE INCOME INEQUALITY
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in 202257 or V202258 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

INTRO - EGALITARIANISM

I am going to read several more statements.
After each one, I would like you to tell me how strongly you agree or disagree. The first statement is:

V202260	POST: SOCIETY SHOULD MAKE SURE EVERYONE HAS EQUAL OPPORTUNITY
Question	‘Our society should do whatever is necessary to make sure that everyone has an equal opportunity to succeed.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	EGAL_DONECESS
Response Order	Forward/Reverse order

V202261	POST: WE’D BE BETTER OFF IF WORRIED LESS ABOUT EQUALITY
Question	‘This country would be better off if we worried less about how equal people are.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	EGAL_WORRYLESS
Response Order	Forward/Reverse order

V202262	POST: NOT A BIG PROBLEM IF SOME HAVE MORE CHANCE IN LIFE
Question	‘It is not really that big a problem if some people have more of a chance in life than others.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	EGAL_NOTBIGPROB
Response Order	Forward/Reverse order

V202263	POST: IF PEOPLE WERE TREATED MORE FAIRLY WE WOULD HAVE FEWER PROBLEMS
Question	‘If people were treated more equally in this country we would have many fewer problems.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	EGAL_FEWERPROBS
Response Order	Forward/Reverse order

V202264	POST: THE WORLD IS CHANGING & WE SHOULD ADJUST VIEW OF MORAL BEHAVIOR
Question	‘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?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	MORALTRAD_ADJMORAL
Response Order	Forward/Reverse order

V202265	POST: FEWER PROBLEMS IF THERE WAS MORE EMPHASIS ON TRADITIONAL FAMILY VALUES
Question	‘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?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	MORALTRAD_MORETRAD
Response Order	Forward/Reverse order

INTRO - AUTHORITARIANISM

On another topic.
Although there are a number of qualities that people feel that children should have, every person thinks that some are more important than others. I am going to read you pairs of desirable qualities.

V202266	POST: WHICH CHILD TRAIT MORE IMPORTANT: INDEPENDENCE OR RESPECT
Question	Please tell me which one you think is more important for a child to have: Independence or respect for elders
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Independence 2. Respect for elders 3. Both {VOL - video/phone only}
Survey Question(s)	AUTH_CHILDIND

V202267	POST: WHICH CHILD TRAIT MORE IMPORTANT: CURIOSITY OR GOOD MANNERS
Question	Which one is more important for a child to have: Curiosity or good manners
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Curiosity 2. Good manners 3. Both {VOL - video/phone only}
Survey Question(s)	AUTH_CHILDCUR

V202268	POST: WHICH CHILD TRAIT MORE IMPORTANT: OBEDIENCE OR SELF-RELIANCE
Question	Which one is more important for a child to have: Obedience or self-reliance
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Obedience 2. Self-reliance 3. Both {VOL} 4. Neither {VOL - video/phone only}
Survey Question(s)	AUTH_CHILDOBED

V202269	POST: WHICH CHILD TRAIT MORE IMPORTANT: CONSIDERATE OR WELL-BEHAVED
Question	Which one is more important for a child to have: Being considerate or well behaved
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Being considerate 2. Well behaved 3. Both {VOL - video/phone only}
Survey Question(s)	AUTH_CHILDCONSID

V202270	POST: BETTER IF REST OF WORLD MORE LIKE AMERICA
Question	‘The world would be a better place if people from other countries were more like Americans.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	NATLSM_AMWORLD
Response Order	Forward/Reverse order

V202271	POST: IS THE US BETTER OR WORSE THAN MOST OTHER COUNTRIES
Question	Generally speaking, is the United States better, worse, or about the same as most other countries?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Better 2. Worse 3. The same
Survey Question(s)	NATLSM_USOTHCNTRY

V202272	POST: IS THE US BETTER OR WORSE THAN MOST OTHER COUNTRIES (STRENGTH)
Question	Is that a lot [better/worse] or somewhat [better/worse]?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A lot 2. Somewhat
Universe	IF R THINKS US IS BETTER / IF R THINKS US IS WORSE:
Survey Question(s)	NATLSM_USOTHCNTRYSTR
Response Order	Forward/Reverse order

V202273x	POST: SUMMARY: US BETTER OR WOSE THAN MOST OTHER COUNTRIES
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202271 or V202272 1. A lot better 2. Somewhat better 3. The same 4. Somewhat worse 5. A lot worse

V202274	POST: PEOPLE IN RURAL AREAS GET MORE OR LESS FROM GOVERNMENT
Question	Compared to people living in cities, do people living in small towns and rural areas get more, the same, or less than they deserve from the government?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. More 2. The same 3. Less
Survey Question(s)	RURALRES_DESGOVT

V202275	POST: PEOPLE IN RURAL AREAS GET MORE OR LESS FROM GOVERNMENT (STRENGTH)
Question	Do they get a great deal [more/less], moderately [more/less], or a little [more/less] than they deserve from the government?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. Moderately 3. A little
Universe	IF R THINKS RURAL AREAS GET MORE THAN THEY DESERVE / IF R THINKS RURAL AREAS GET LESS THAN THEY DESERVE:
Survey Question(s)	RURALRES_DESGOVTSTR
Response Order	Forward/Reverse order

V202276x	POST: SUMMARY: PEOPLE IN RURAL AREAS GET MORE/LESS FROM GOVERNMENT
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202274 or V202275 1. A great deal more 2. Moderately more 3. A little more 4. The same 5. A little less 6. Moderately less 7. A great deal less

V202277	POST: PEOPLE IN RURAL AREAS HAVE TOO MUCH OR TOO LITTLE INFLUENCE
Question	Compared to people living in cities, do people living in small towns and rural areas have too much influence, too little influence, or about the right amount of influence on government?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Too much 2. Too little 3. About the right amount
Survey Question(s)	RURALRES_INFGOVT

V202278	POST: PEOPLE IN RURAL AREAS HAVE TOO MUCH OR TOO LITTLE INFLUENCE (STRENGTH)
Question	Do they have much too [much/little], somewhat too [much/little], or a bit too [much/little] influence on government?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Much 2. Somewhat 3. A bit
Universe	IF R THINKS RURAL AREAS HAVE TOO MUCH INFLUENCE / IF R THINKS RURAL AREAS HAVE TOO LITTLE INFLUENCE:
Survey Question(s)	RURALRES_INFGOVTSTR
Response Order	Forward/Reverse order

V202279x	POST: SUMMARY: PEOPLE IN RURAL AREAS HAVE TOO MUCH/TOO LITTLE INFLUENCE
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202277 or V202278 1. Much too much 2. Somewhat too much 3. A little too much 4. About the right amount 5. A little too little 6. Somewhat too little 7. Much too little

V202280	POST: PEOPLE IN RURAL AREAS GET TOO MUCH OR TOO LITTLE RESPECT
Question	Do people living in small towns and rural areas get too much respect, too little respect, or about the right amount of respect from people living in cities?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Too much 2. Too little 3. About the right amount
Survey Question(s)	RURALRES_RESPECT

V202281	POST: PEOPLE IN RURAL AREAS GET TOO MUCH OR TOO LITTLE RESPECT (STRENGTH)
Question	Do they get much too [much/little], somewhat too [much/little], or a bit too [much/little] respect from people living in cities?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Much 2. Somewhat 3. A bit
Universe	IF R THINKS RURAL AREAS GET TOO MUCH RESPECT / IF R THINKS RURAL AREAS GET TOO LITTLE RESPECT:
Survey Question(s)	RURALRES_RESPECTSTR
Response Order	Forward/Reverse order

V202282x	POST: SUMMARY: PEOPLE IN RURAL AREAS GET TOO MUCH/TOO LITTLE RESPECT
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202280 or V202281 1. Much too much 2. Somewhat too much 3. A little too much 4. About the right amount 5. A little too little 6. Somewhat too little 7. Much too little

V202283	POST: EASIER OR HARDER FOR WORKING MOTHER TO BOND WITH CHILD
Question	Do you think it is easier, harder, or neither easier nor harder for mothers who work outside the home to establish a warm and secure relationship with their children than it is for mothers who stay at home?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Easier 2. Harder 3. Neither easier nor harder
Survey Question(s)	GENROLES_WKMOTH

V202284	POST: HOW MUCH EASIER FOR WORKING MOTHER TO BOND WITH CHILD
Question	Is it a great deal easier, somewhat easier, or slightly easier for mothers who work outside the home to establish a warm and secure relationship with their children?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. Somewhat 3. Slightly
Universe	IF R SAYS IT IS EASIER FOR WORKING MOTHERS TO ESTABLISH RELATIONSHIP WITH CHILDREN:
Survey Question(s)	GENROLES_WKEAS
Response Order	Forward/Reverse order

V202285	POST: HOW MUCH HARDER FOR WORKING MOTHER TO BOND WITH CHILD
Question	Is it a great deal harder, somewhat harder, or slightly harder for mothers who work outside the home to establish a warm and secure relationship with their children?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. Somewhat 3. Slightly
Universe	IF R SAYS IT IS HARDER FOR WORKING MOTHERS TO ESTABLISH RELATIONSHIP WITH CHILDREN:
Survey Question(s)	GENROLES_WKHARD
Response Order	Forward/Reverse order

V202286x	POST: SUMMARY: EASIER/HARDER FOR WORKING MOTHER TO BOND WITH CHILD
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202283, V202284, or V202285 1. A great deal easier 2. Somewhat easier 3. Slightly easier 4. Niether easier nor harder 5. Slightly harder 6. Somewhat harder 7. A great deal harder

V202287	POST: BETTER OR WORSE IF MAN WORKS AND WOMAN TAKES CARE OF HOME
Question	Do you think it is better, worse, or makes no difference for the family as a whole if the man works outside the home and the woman takes care of the home and family?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Better 2. Worse 3. Makes no difference
Survey Question(s)	GENROLES_WKWIFE

V202288	POST: HOW MUCH BETTER IF MAN WORKS AND WOMAN TAKES CARE OF HOME
Question	Is it much better, somewhat better, or slightly better?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Much 2. Somewhat 3. Slightly
Universe	IF R SAYS IT IS BETTER FOR THE MAN TO WORK AND THE WOMAN TO STAY AT HOME:
Survey Question(s)	GENROLES_WKWBETT
Response Order	Forward/Reverse order

V202289	POST: HOW MUCH WORSE IF MAN WORKS AND WOMAN TAKES CARE OF HOME
Question	Is it much worse, somewhat worse, or slightly worse?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Much 2. Somewhat 3. Slightly
Universe	IF R SAYS IT IS WORSE FOR THE MAN TO WORK AND THE WOMAN TO STAY AT HOME:
Survey Question(s)	GENROLES_WKWWRS
Response Order	Forward/Reverse order

V202290x	POST: SUMMARY: BETTER/WORSE IF MAN WORKS AND WOMAN TAKES CARE OF HOME
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202287, V202288 or V202289 1. Much better 2. Somewhat better 3. Slightly better 4. Makes no difference 5. Slightly worse 6. Somewhat worse 7. Much worse

V202291	POST: DO WOMEN DEMANDING EQUALITY SEEK SPECIAL FAVORS
Question	When women demand equality these days, how often are they actually seeking special favors?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Always 2. Most of the time 3. About half the time 4. Some of the time 5. Never
Survey Question(s)	MODSEXM_SPECFAV
Response Order	Forward/Reverse order

V202292	POST: DO WOMEN COMPLAINING ABOUT DISCRIMINATION CAUSE MORE PROBLEMS
Question	When women complain about discrimination, how often do they cause more problems than they solve?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Always 2. Most of the time 3. About half the time 4. Some of the time 5. Never
Survey Question(s)	MODSEXM_COMDISC
Response Order	Forward/Reverse order

INTRO - POSITION OF BLACKS IN SOCIETY

Now I’m going to read several more statements. After each one, I would like you to tell me how strongly you agree or disagree.

V202300	POST: AGREE/DISAGREE: BLACKS SHOULD WORK THEIR WAY UP WITHOUT SPECIAL FAVORS
Question	‘Irish, Italian, 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?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	RESENT_WORKWAY
Response Order	Forward/Reverse order

V202301	POST: AGREE/DISAGREE: PAST SLAVERY & DISCRIMINATION MAKE IT DIFFICULT FOR BLACKS
Question	‘Generations of slavery and discrimination have created conditions that make it difficult for blacks to work their way out of the lower class.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	RESENT_GENRTNS
Response Order	Forward/Reverse order

V202302	POST: AGREE/DISAGREE: BLACKS HAVE GOTTEN LESS THAN THEY DESERVE
Question	‘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?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	RESENT_DESERVE
Response Order	Forward/Reverse order

V202303	POST: AGREE/DISAGREE: IF BLACKS TRIED HARDER THEY’D BE AS WELL OFF AS WHITES
Question	‘It’s really a matter of some people not trying hard enough; if blacks would only try harder they could be just as well off as whites.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Survey Question(s)	RESENT_TRYHARD
Response Order	Forward/Reverse order

V202304	POST: OUR POLITICAL SYSTEM ONLY WORKS FOR INSIDERS WITH MONEY AND POWER
Question	How well does the following statement describe your view? ‘Our political system only works for the insiders with money and power.’
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Not at all well 2. Not very well 3. Somewhat well 4. Very well 5. Extremely well
Survey Question(s)	ANTIELITE_ELITEINSIDER
Response Order	Forward/Reverse order

V202305	POST: BECAUSE OF RICH AND POWERFUL IT’S DIFFICULT FOR THE REST TO GET AHEAD
Question	How well does the following statement describe your view? ‘Because of the rich and powerful, it becomes difficult for the rest of us to get ahead.’
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Not at all well 2. Not very well 3. Somewhat well 4. Very well 5. Extremely well
Survey Question(s)	ANTIELITE_ELITEAHEAD
Response Order	Forward/Reverse order

V202306	POST: TRUST ORDINARY PEOPLE OR EXPERTS FOR PUBLIC POLICY
Question	When it comes to public policy decisions, whom do you tend to trust more: ordinary people, experts, or trust both the same?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Trust ordinary people more 2. Trust experts more 3. Trust both the same
Survey Question(s)	EXPERTS_EXPTRUST

V202307	POST: TRUST ORDINARY PEOPLE OR EXPERTS FOR PUBLIC POLICY (STRENGTH)
Question	Do you trust [ordinary people/experts] much more or somewhat more?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Much more 2. Somewhat more
Universe	IF R TRUSTS ORDINARY PEOPLE MORE / IF R TRUSTS EXPERTS MORE:
Survey Question(s)	EXPERTS_EXPTRUSTSTR
Response Order	Forward/Reverse order

V202308x	POST: SUMMARY: TRUST ORDINARY PEOPLE/EXPERTS FOR PUBLIC POLICY
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202306 or V202307 1. Trust ordinary people much more 2. Trust ordinary people somewhat more 3. Trust both the same 4. Trust experts somwhat more 5. Trust experts much more

V202309	POST: HOW MUCH DO PEOPLE NEED HELP FROM EXPERTS TO UNDERSTAND SCIENCE
Question	How much do ordinary people need the help of experts to understand complicated things like science and health?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Not at all 2. A little 3. A moderate amount 4. A lot 5. A great deal
Survey Question(s)	EXPERTS_EXPHELP
Response Order	Forward/Reverse order

V202310	POST: HOW IMPORTANT SHOULD SCIENCE BE FOR DECISIONS ABOUT COVID-19
Question	In general, how important should science be for making government decisions about COVID-19?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Not at all important 2. A little important 3. Moderately important 4. Very important 5. Extremely important
Survey Question(s)	EXPERTS_EXPSCIENCE
Response Order	Forward/Reverse order

V202311	POST: BUSINESS AND POLITICS CONTROLLED BY FEW POWERFUL PEOPLE
Question	How well does the following statement describe your view? “Most business and politics in this country are secretly controlled by the same few powerful people.”
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Not at all 2. Not very well 3. Somewhat well 4. Very well 5. Extremely well
Survey Question(s)	CONSPIR_SECRETCON
Response Order	Forward/Reverse order

V202312	POST: MUCH OF WHAT PEOPLE HEAR IN SCHOOLS AND MEDIA ARE LIES BY THOSE IN POWER
Question	How well does the following statement describe your view? “Much of what people hear in schools and the media are lies designed to keep people from learning the real truth about those in power.”
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Not at all 2. Not very well 3. Somewhat well 4. Very well 5. Extremely well
Survey Question(s)	CONSPIR_MEDIALIES
Response Order	Forward/Reverse order

V202313	POST: POST MATERIALISM MOST IMPORTANT 1A
Question	Which of these do you consider to be the most important? You can just tell me the number of the option you choose.
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A high level of economic growth 2. Making sure this country has strong defense forces 3. Seeing that people have more say about how things are done at their jobs/in their communities 4. Trying to make our cities and countryside more beautiful
Survey Question(s)	POSTMAT_MOSTIMP1A

V202314	POST: POST MATERIALISM NEXT MOST IMPORTANT 1B
Question	And which would be the next most important? You can just tell me the number ofthe option you choose.
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A high level of economic growth 2. Making sure this country has strong defense forces 3. Seeing that people have more say about how things are done at their jobs/in their communities 4. Trying to make our cities and countryside more beautiful
Survey Question(s)	POSTMAT_MOSTIMP1B

V202315	POST: POST MATERIALISM MOST IMPORTANT 2A
Question	Here is another list. Which one of these do you consider most important? You can just tell me the number of the option you choose.
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Maintaining order in the nation 2. Giving people more say in important government decisions 3. Fighting rising prices 4. Protecting freedom of speech
Survey Question(s)	POSTMAT_MOSTIMP2A

V202316	POST: POST MATERIALISM NEXT MOST IMPORTANT 2B
Question	And which would be the next most important? You can just tell me the number of the option you choose.
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Maintaining order in the nation 2. Giving people more say in important government decisions 3. Fighting rising prices 4. Protecting freedom of speech
Survey Question(s)	POSTMAT_MOSTIMP2B

V202317	POST: HOW MUCH OPPORTUNITY IN AMERICA FOR AVERAGE PERSON TO GET AHEAD
Question	How much opportunity is there in America today for the average person to get ahead?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. None
Survey Question(s)	ECONMOBIL_INEQOPP
Response Order	Forward/Reverse order

V202318	POST: ECONOMIC MOBILITY COMPARED TO 20 YEARS AGO
Question	When it comes to people trying to improve their financial well-being, do you think it is now easier, harder, or the same as it was 20 years ago?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Easier 2. Harder 3. The same
Survey Question(s)	ECONMOBIL_INEQRED

V202319	POST: HOW MUCH EASIER OR HARDER IS ECONOMIC MOBILITY COMPARED TO 20 YEARS AGO
Question	How much [easier/harder]?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R SAYS ECONOMIC MOBILITY IN U.S. IS EASIER THAN 20 YEARS AGO / IF R SAYS ECONOMIC MOBILITY IN U.S. IS HARDER THAN 20 YEARS AGO:
Survey Question(s)	ECONMOBIL_INEQREDAMT
Response Order	Forward/Reverse order

V202320x	POST: SUMMARY: ECONOMIC MOBILITY
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202318 or V202319 1. A great deal easier 2. A moderate amount easier 3. A little easier 4. The same 5. A litte harder 6. A moderate amount harder 7. A great deal harder

V202321	POST: IMPORTANCE OF REDUCING DEFICIT
Question	When the U.S. federal government spends more money than it collects, the difference is called the federal budget deficit. The federal government currently has a deficit. How important is it to reduce the deficit?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Survey Question(s)	BUDGET_DEFIMP
Response Order	Forward/Reverse order

V202322	POST: WEB ONLY: DEFIMP SPEEDING INTERVENTION - GENTLE PROMPT
Question	You seem to have responded very quickly. Please be sure you have given the question sufficient thought to provide an accurate answer. Do you want to go back and reconsider your answer?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Yes, go back 2. No, continue
Universe	IF R DESIGNATED FOR GENTLE PROMPT / IF R DESIGNATED FOR FAST THRESHOLD AND RMOB ANSWERED IN < 10 SECONDS / IF R DESIGNATED FOR SLOW THRESHOLD AND RMOB ANSWERED IN < 16.45 SECONDS:
Survey Question(s)	BUDGET_DEFIMP2

V202323	POST: WEB ONLY: DEFIMP SPEEDING INTERVENTION - REDISPLAY DEFIMP
Question	When the U.S. federal government spends more money than it collects, the difference is called the federal budget deficit. The federal government currently has a deficit. How important is it to reduce the deficit?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Universe	IF R DECIDES TO RECONSIDER ANSWER:
Survey Question(s)	BUDGET_DEFIMP3
Response Order	Forward/Reverse order

V202324	POST: WEB ONLY: DEFIMP SPEEDING INTERVENTION - PEREMPTORY PROMPT
Question	You seem to have responded very quickly. Please be sure you have given the question sufficient thought to provide an accurate answer. When the U.S. federal government spends more money than it collects, the difference is called the federal budget deficit. The federal government currently has a deficit. How important is it to reduce the deficit?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Universe	IF R DESIGNATED FOR PEREMPTORY PROMPT / IF R DESIGNATED FOR FAST THRESHOLD AND RMOB ANSWERED IN < 10 SECONDS / IF R DESIGNATED FOR SLOW THRESHOLD AND RMOB ANSWERED IN < 16.45 SECONDS:
Survey Question(s)	BUDGET_DEFIMP4
Response Order	Forward/Reverse order

V202325	POST: FAVOR OR OPPOSE TAX ON MILLIONAIRES
Question	Do you favor, oppose, or neither favor nor oppose increasing incometaxes on people making over one million dollars per year?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	TAX_MILLTAX

V202326	POST: APPROVE OR DISAPPROVE OF THE AFFORDABLE CARE ACT
Question	Do you approve, disapprove, or neither approve nor disapprove of the Affordable Care Act of 2010, sometimes called Obamacare?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Approve 2. Disapprove 3. Neither approve nor disapprove
Survey Question(s)	HEALCARE_ACA

V202327	POST: APPROVE OR DISAPPROVE OF THE AFFORDABLE CARE ACT (STRENGTH)
Question	Do you [approve/disapprove] of that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R APPROVES OF AFFORDABLE CARE ACT / IF R DISAPPROVES OF AFFORDABLE CARE ACT:
Survey Question(s)	HEALCARE_ACASTR
Response Order	Forward/Reverse order

V202328x	POST: SUMMARY: APPROVE/DISAPPROVE AFFORDABLE CARE ACT
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202326 or V202327 1. Approve a great deal 2. Approve a moderate amount 3. Approve a little 4. Neither approve nor disapprove 5. Disapprove a little 6. Disapprove a moderate amount 7. Disapprove a great deal

V202329	POST: FAVOR OR OPPOSE REQUIRING VACCINES IN SCHOOLS
Question	Do you favor, oppose, or neither favor nor oppose requiring children to be vaccinated in order to attend public schools?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	VACCINE1_SCHL

V202330	POST: FAVOR OR OPPOSE REQUIRING VACCINES IN SCHOOLS (STRENGTH)
Question	Do you [favor/oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R FAVORS REQUIRING VACCINATION IN ORDER FOR CHILDREN TO ATTEND SCHOOL / IF R OPPOSES REQUIRING VACCINATION IN ORDER FOR CHILDREN TO ATTEND SCHOOL:
Survey Question(s)	VACCINE1_SCHLSTR
Response Order	Forward/Reverse order

V202331x	POST: SUMMARY: FAVOR/OPPOSE REQUIRING VACCINES IN SCHOOLS
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202329 or V202330 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neiter favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V202332	POST: HOW MUCH IS CLIMATE CHANGE AFFECTING SEVERE WEATHER/TEMPERATURES IN US
Question	How much, if at all, do you think climate change is currently affecting severe weather events or temperature patterns in the United States?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Not at all 2. A little 3. A moderate amount 4. A lot 5. A great deal
Survey Question(s)	ENVIRPO_WARMUS
Response Order	Forward/Reverse order

V202333	POST: HOW IMPORTANT IS ISSUE OF CLIMATE CHANGE TO R
Question	How important is the issue of climate change to you personally?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Not at all important 2. A little important 3. Moderately important 4. Very important 5. Extremely important
Survey Question(s)	ENVIRPO_WARMIMP
Response Order	Forward/Reverse order

V202334	POST: FAVOR OR OPPOSE INCREASED REGULATION ON GREENHOUSE EMISSIONS
Question	Do you favor, oppose, or neither favor nor oppose increased government regulation on businesses that produce a great deal of greenhouse emissions linked to climate change?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	ENVIRPO_REGGREEN

V202335	POST: FAVOR OR OPPOSE INCREASED REGULATION ON GREENHOUSE EMISSIONS (STRENGTH)
Question	Do you [favor/oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R FAVORS INCREASED GOVERNMENT REGULATION / IF R OPPOSES INCREASED GOVERNMENT REGULATION:
Survey Question(s)	ENVIRPO_REGGREENSTR
Response Order	Forward/Reverse order

V202336x	POST: SUMMARY: FAVOR/OPPOSE INCREASED REGULATION ON GREENHOUSE EMISSIONS
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202334 or V202335 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neiter favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V202337	POST: SHOULD FEDERAL GOVERNMENT MAKE IT MORE DIFFICULT OR EASIER TO BUY A GUN
Question	Do you think the federal government should make it more difficult for people to buy a gun than it is now, make it easier for people to buy a gun, or keep these rules about the same as they are now?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. More difficult 2. Easier 3. Keep these rules about the same
Survey Question(s)	GUN_GUNDIFF

V202338	POST: HOW IMPORTANT IS ISSUE OF GUN ACCESS TO R
Question	How important is this issue to you personally?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important at all
Survey Question(s)	GUN_GUNIMP
Response Order	Forward/Reverse order

V202339	POST: FAVOR OR OPPOSE BACKGROUND CHECKS FOR GUN PURCHASES
Question	Do you favor, oppose, or neither favor nor oppose requiring background checks for gun purchases at gun shows or other private sales?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	GUN_BACKCHECK

V202340	POST: FAVOR OR OPPOSE BACKGROUND CHECKS FOR GUN PURCHASES (STRENGTH)
Question	Do you [favor/oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R FAVORS REQUIRING BACKGROUND CHECKS / IF R OPPOSES REQUIRING BACKGROUND CHECKS:
Survey Question(s)	GUN_BACKCHECKSTR
Response Order	Forward/Reverse order

V202341x	POST: SUMMARY: FAVOR/OPPOSE BACKGROUND CHECKS FOR GUN PUCHASES
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202339 or V202340 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V202342	POST: FAVOR OR OPPOSE BANNING ‘ASSAULT-STYLE’ RIFLES
Question	Do you favor, oppose, or neither favor nor oppose banning the sale of semi-automatic “assault-style” rifles?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	GUN_BANAR

V202343	POST: FAVOR OR OPPOSE BANNING ‘ASSAULT-STYLE RIFLES’ (STRENGTH)
Question	Do you [favor/oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R FAVORS BANNING ASSAULT-STYLE RIFLES / IF R OPPOSES BANNING ASSAULT-STYLE RIFLES:
Survey Question(s)	GUN_BANARSTR
Response Order	Forward/Reverse order

V202344x	POST: SUMMARY: FAVOR/OPPOSE BANNING ‘ASSAULT-STYLE’ RIFLES
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202342 or V202343 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V202345	POST: FAVOR OR OPPOSE MANDATORY BUY BACK OF ‘ASSAULT-STYLE’ RIFLES
Question	Do you favor, oppose, or neither favor nor oppose a mandatory program where the government would buy back semi-automatic assault-style rifles from citizens who currently own them?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	GUN_BUYBACK

V202346	POST: FAVOR OR OPPOSE MANDATORY BUY BACK OF ‘ASSAULT-STYLE’ RIFLES (STRENGTH)
Question	Do you [favor/oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R FAVORS BUY BACK PROGRAMS / IF R OPPOSES BUY BACK PROGRAMS:
Survey Question(s)	GUN_BUYBACKSTR
Response Order	Forward/Reverse order

V202347x	POST: FAVOR/OPPOSE GOVERNMENT BUY BACK OF ‘ASSAULT-STYLE’ RIFLES
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202345 or V202346 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V202348	POST: SHOULD FEDERAL GOVERNMENT DO MORE OR LESS ABOUT OPIOID DRUG ADDICTION
Question	Do you think the federal government should be doing more about the opioid drug addiction issue, should be doing less, or is it currently doing the right amount?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Should be doing more 2. Should be doing less 3. Is doing the right amount
Survey Question(s)	OPIOID_OPIOID

V202349	POST: SHOULD FED GOVT DO MORE OR LESS ABOUT OPIOID DRUG ADDICTION (STRENGTH)
Question	How much [more/less]?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R SAID GOVT SHOULD DO MORE / IF R SAID GOVT SHOULD DO LESS:
Survey Question(s)	OPIOID_OPIOIDSTR
Response Order	Forward/Reverse order

V202350x

POST: SUMMARY SHOULD FEDERAL GOVT DO MORE/LESS ABOUT OPIOID DRUG ADDICTION

Value Labels

-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202348 or V202349 1. Should be doing a great deal more 2. Should be doing a moderate amount more 3. Should be doing a little more 4. Is doing the right amount 5. Should be doing a little less 6. Should be doing a moderate amount less 7. Should be doing a lot less

V202351	POST: HOW OFTEN DO POLICE OFFICERS USE MORE FORCE THAN NECESSARY
Question	How often do you think police officers use more force than is necessary?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Never 2. Rarely 3. About half the time 4. Most of the time 5. All the time
Survey Question(s)	POLICE_MOREFORCE
Response Order	Forward/Reverse order

V202352	POST: HOW WOULD R DESCRIBE SOCIAL CLASS [EGSS]
Question	How would you describe your social class? Are you in the lower class, the working class, the middle class, or the upper class?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Lower class 2. Working class 3. Middle class 4. Upper class
Survey Question(s)	DEMPO_CLASSREV

V202353	POST: IS R LOWER MIDDLE CLASS, MIDDLE CLASS, UPPER MIDDLE CLASS? [EGSS]
Question	Are you in the lower middle class, the middle class, or the upper middle class?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Lower middle class 2. Middle class 3. Upper middle class
Universe	IF R HAS INDICATED SOCIAL CLASS AS MIDDLE CLASS:
Survey Question(s)	DEMPO_MIDDLECLASS

V202354	POST: (IF R IS HISPANIC) DOES R GET NEWS IN SPANISH OR ENGLISH
Question	For information about politics would you say you get the most information from Spanish-language television, radio, and newspapers, or from English-language TV, radio, and newspapers?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. English more 2. Spanish more 3. Both equally (bilingual) {VOL - video/phone only} 5. Other
Variable Note	Due to a programming error, the respondents selecting ‘Other’ were not asked to specify their answer.
Universe	IF R IS IDENTIFIED AS HISPANIC IN PRE-ELECTION IW:
Survey Question(s)	POHISP_HISPNEWS

V202355	POST: DOES R CURRENTLY LIVE IN A RURAL OR URBAN AREA
Question	Do you currently live in a rural area, small town, suburb, or a city?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Rural area 2. Small town 3. Suburb 4. City
Survey Question(s)	URBAN_LIVEURBAN

V202356	POST: DOES R USUALLY THINK OF SELF AS A RURAL OR URBAN PERSON
Question	Regardless of where you currently live, do you usually think of yourself as a city person, a suburb person, a small-town person, a country or rural person, or something else?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. City person 2. Suburb person 3. Small-town person 4. Country (or rural) person 5. Something else {SPECIFY}
Survey Question(s)	URBAN_PLACEID

V202356z	POST: DOES R USUALLY THINK OF SELF AS A RURAL OR URBAN PERSON - OTHER SPECIFY
Question	Regardless of where you currently live, do you usually think of yourself as a city person, a suburb person, a small-town person, a country or rural person, or something else?
Value Labels	-2. Open-end responses available in separate file
Survey Question(s)	URBAN_PLACEID

V202357	POST: HOW IMPORTANT IS URBAN OR RURAL TO R’S IDENTITY
Question	How important is being a [city person/suburb person/small-town person/country or rural person] to your identity?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Not at all important 2. A little important 3. Moderately important 4. Very important 5. Extremely important
Universe	IF R IS CITY PERSON / IF R IS SUBURB PERSON / IF R IS SMALL-TOWN PERSON / IF R COUNTRY OR RURAL PERSON
Survey Question(s)	URBAN_PLACEIDIMP
Response Order	Forward/Reverse order

V202358	POST: DHS: HOW WORRIED ABOUT TERRORIST ATTACK IN NEAR FUTURE
Question	Now for some other questions. How worried are you that the United States will experience a terroristattack in the near future?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Extremely worried 2. Very worried 3. Moderately worried 4. Slightly worried 5. Not at all worried
Survey Question(s)	TERROR_TERRWORRY
Response Order	Forward/Reverse order

V202359	POST: FAVOR OR OPPOSE FREE TRADE AGREEMENTS WITH OTHER COUNTRIES
Question	Do you favor, oppose, or neither favor nor oppose the U.S. making free tradeagreements with other countries?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	FREETRADE_AGRMT

V202360	POST: FAVOR OR OPPOSE FREE TRADE AGREEMENTS WITH OTHER COUNTRIES (STRENGTH)
Question	How strongly do you [favor/oppose] it?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. Moderately 3. A little
Universe	IF R FAVORS U.S FREE TRADE AGREEMENTS WITH OTHER COUNTRIES/ IF R OPPOSES U.S. FREE TRADE AGREEMENTS WITH OTHER COUNTRIES:
Survey Question(s)	FREETRADE_AGRMTSTR
Response Order	Forward/Reverse order

V202361x	POST: SUMMARY: FAVOR/OPPOSE FREE TRADE AGREEMENTS
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202359 or V202361 1. Favor a great deal 2. Favor moderately 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose moderately 7. Oppose a great deal

V202362	POST: IS INCREASING TRADE GOOD OR BAD FOR INTERNATIONAL RELATIONSHIPS
Question	Is increasing the amount of international trade good, bad, or neither good nor bad for our relationships with other countries?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Good 2. Bad 3. Neither good nor bad
Survey Question(s)	FREETRADE_RELCNTRY

V202363	POST: IS INCREASING TRADE GOOD OR BAD FOR INTERNATIONAL RELATIONSHIPS (STRENGTH)
Question	Is it very [good/bad] or somewhat [good/bad]?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Very 2. Somewhat
Universe	IF R SAYS INCREASING TRADE IS GOOD / IF R SAYS INCREASED TRADE IS BAD:
Survey Question(s)	FREETRADE_RELCNTRYSTR
Response Order	Forward/Reverse order

V202364x	POST: SUMMARY: INCREASING TRADE GOOD/BAD FOR INTERNATIONAL RELATIONSHIPS
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202362 or V202363 1. Very good 2. Somewhat good 3. Neither good nor bad 4. Somewhat bad 5. Very bad

V202365	POST: HAS INTERNATIONAL TRADE INCREASED OR DECREASED JOBS IN US
Question	Has international trade increased, decreased, or neither increased nor decreased the number of jobs available in the United States?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Increased 2. Decreased 3. Neither increased nor decreased
Survey Question(s)	FREETRADE_NUMJOBSUS

V202366	POST: HAS INTERNATIONAL TRADE INCREASED OR DECREASED JOBS IN US (STRENGTH)
Question	Has it [increased/decreased] the number of jobs in the U.S. a lot or somewhat?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A lot 2. Somewhat
Universe	IF R SAYS TRADE INCREASED JOBS IN US / IF R SAYS TRADE DECREASED JOBS IN US:
Survey Question(s)	FREETRADE_NUMJOBSUSSTR
Response Order	Forward/Reverse order

V202367x	POST: SUMMARY: INTERNATIONAL TRADE INCREASED/DECREASED JOBS IN US
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202365 or V202366 1. Increased a lot 2. Increased somewhat 3. Neiter increased nor decreased 4. Decreased somewhat 5. Increased a lot

V202368	POST: HAS INTERNATIONAL TRADE INCREASED OR DECREASED JOBS ABROAD
Question	Has international trade increased, decreased, or neither increased nor decreased the number of jobs available in other countries?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Increased 2. Decreased 3. Neither increased nor decreased
Survey Question(s)	FREETRADE_NUMJOBSOTH

V202369	POST: HAS INTERNATIONAL TRADE INCREASED OR DECREASED JOBS ABROAD (STRENGTH)
Question	Has it [increased/decreased] the number of jobs in other countries a lot or somewhat?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A lot 2. Somewhat
Universe	IF R SAYS TRADE INCREASED JOBS IN OTHER COUNTRIES / IF R SAYS TRADE DECREASED JOBS IN OTHER COUNTRIES:
Survey Question(s)	FREETRADE_NUMJOBSOTHSTR
Response Order	Forward/Reverse order

V202370x	POST: SUMMARY: INTERNATIONAL TRADE INCREADED/DECREASED JOBS ABROAD
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202368 or V202369 1. Increased a lot 2. Increased somewhat 3. Neither increased nor decreased 4. Decreased somewhat 5. Increased a lot

V202371	POST: DOES INCREASING DIVERSITY MADE US BETTER OR WORSE PLACE TO LIVE
Question	Does the increasing number of people of many different races and ethnic groups in the United States make this country a better place to live, a worse place to live, or does it make no difference?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Better 2. Worse 3. Makes no difference
Survey Question(s)	DIVERSITY_INCREASE

V202372	POST: DOES INCREASING DIVERSITY MADE US BETTER OR WORSE PLACE TO LIVE (STRENGTH)
Question	Does it make it a lot [better/worse] or a little [better/worse]?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A lot 2. A little
Universe	IF R SAYS DIVERSITY MAKES US BETTER / IF R SAYS DIVERSITY MAKES US WORSE:
Survey Question(s)	DIVERSITY_INCREASESTR
Response Order	Forward/Reverse order

V202373x	POST: SUMMARY: INCREASING DIVERSITY MADE US BETTER/WORSE PLACE TO LIVE
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202371 or V202372 1. A lot better 2. A little better 3. Makes no difference 4. A little worse 5. A lot worse

V202374	POST: FAVOR OR OPPOSE FEDERAL PROGRAM GIVING ALL CITIZENS $12K/YEAR
Question	Do you favor, oppose, or neither favor nor oppose establishing a federal program that gives all citizens $12,000 per year, provided they meet certain conditions? This program would be paid for with higher taxes.
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	ECONEQ_GUARINC

V202375	POST: FAVOR OR OPPOSE FEDERAL PROGRAM GIVING ALL CITIZENS $12K/YEAR (STRENGTH)
Question	Do you [favor/oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R FAVORS GUARANTEED INCOME/ IF R OPPOSES GUARANTEED INCOME:
Survey Question(s)	ECONEQ_GUARINCSTR
Response Order	Forward/Reverse order

V202376x	POST: SUMMARY: FAVOR/OPPOSE FEDERAL PROGRAM GIVING CITIZENS $12K/YEAR
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202374 or V202375 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V202377	POST: SHOULD THE MINIMUM WAGE BE RAISED, KEPT THE SAME, OR LOWERED
Question	Should the federal minimum wage be raised, kept the same, lowered but not eliminated, or eliminated altogether?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Raised 2. Kept the same 3. Lowered 4. Eliminated
Survey Question(s)	ECONEQ_MINWAGE
Response Order	Forward/Reverse order

V202378	POST: INCREASE/DECREASE GOVERNMENT SPENDING TO HELP PEOPLE PAY FOR HEALTH CARE
Question	Do you favor an increase, decrease, or no change in government spending tohelp people pay for health insurance when they can’t pay for it all themselves?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Increase 2. Decrease 3. No change
Survey Question(s)	ECONEQ_GOVHLTHHLP

V202379	POST: HOW MUCH INCREASE/DECREASE IN GOVERMENT HELP PAYING FOR HEALTH CARE
Question	Should it [increase/decrease] a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R SAYS GOVT HELP FOR PEOPLE TO PAY FOR HEALTH CARE SHOULD INCREASE / IF R SAYS GOVT HELP FOR PEOPLE TO PAY FOR HEALTH CARE SHOULD DECREASE:
Survey Question(s)	ECONEQ_GOVHLTHHLPAMT
Response Order	Forward/Reverse order

V202380x	POST: SUMMARY: INCREASE/DECREASE GOVERNMENT SPENDING TO HELP PAY FOR HEALTH CARE
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202378 or V202379 1. Increase a great deal 2. Increase a moderate amount 3. Increase a little 4. No change 5. Decrease a little 6. Decrease a moderate amount 7. Decrease a great deal

V202381	POST: DO HEALTH BENEFITS OF VACCINATIONS OUTWEIGHT THE RISKS
Question	Now for questions on different topics. Do the health benefits of vaccinations generally outweigh the risks, do the risks outweigh the benefits, or is there no difference?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Benefits outweigh risks 2. Risks outweigh benefits 3. No difference
Survey Question(s)	VACCINE2_RISKS

V202382	POST: DO HEALTH BENEFITS OF VACCINATIONS OUTWEIGHT THE RISKS (STRENGTH)
Question	Are the [health benefits/risks] of vaccinations much greater, moderately greater, or slightly greater?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Much greater 2. Moderately greater 3. Slightly greater
Universe	IF R SAYS HEALTH BENEFITS OF VACCINES OUTWEIGH RISKS / IF R SAYS HEALTH RISKS OF VACCINES OUTWEIGHT BENEFITS:
Survey Question(s)	VACCINE2_RISKSSTR
Response Order	Forward/Reverse order

V202383x

POST: SUMMARY: HEALTH BENEFITS OF VACCINATIONS OUTWEIGH RISKS

Value Labels

-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202381 or V202382 1. Health benefits much greater than risks 2. Health benefits moderately greater than risks 3. Health benefits slightly greater than risks 4. No difference 5. Risks slightly greather than health benefits 6. Risks moderately greater than health benefits 7. Risks much greater than health benefits

V202384	POST: ATTENTION TO SEXUAL HARRASSMENT HAS GONE TOO FAR OR NOT FAR ENOUGH
Question	Do you think attention to sexual harassment has gone too far, has not gone far enough, or has been about right?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Has gone too far 2. Has not gone far enough 3. Has been about right
Survey Question(s)	HARASS_ATTN
Response Order	Forward/Reverse order

V202385	POST: ATTENTION TO SEXUAL HARRASSMENT HAS GONE TOO FAR (STRENGTH)
Question	Has it gone much too far or a little too far?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Much too far 2. A little too far
Universe	IF R THINKS ATTENTION HAS GONE TOO FAR:
Survey Question(s)	HARASS_ATTNFAR
Response Order	Forward/Reverse order

V202386	POST: ATTENTION TO SEXUAL HARRASSMENT HAS NOT GONE FAR ENOUGH (STRENGTH)
Question	Has it not gone nearly far enough or not gone quite far enough?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Not nearly far enough 2. Not quite far enough
Universe	IF R THINKS ATTENTION HAS NOT GONE FAR ENOUGH:
Survey Question(s)	HARASS_ATTNNOTFAR
Response Order	Forward/Reverse order

V202387x	POST: SUMMARY: ATTENTION TO SEXUAL HARRASSMENT AS GONE TOO FAR/NOT FAR ENOUGH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202384, V202385, or V202386 1. Has gone much too far 2. Has gone a little too far 3. Has been about right 4. Has not gone quite far enough 5. Has not gone nearly far enough

V202388	POST: FAVOR/OPPOSE ALLOWING TRANSGENDER PEOPLE TO SERVE IN MILITARY
Question	Do you favor, oppose, or neither favor nor oppose allowing transgender people to serve in the United States Armed Forces?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Favor 2. Oppose 3. Neither favor nor oppose
Survey Question(s)	TRANSMIL_ALLOWMIL

V202389	POST: FAVOR/OPPOSE ALLOWING TRANSGENDER PEOPLE TO SERVE IN MILITARY (STRENGTH)
Question	Do you [favor/oppose] that a great deal, a moderate amount, or a little?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A great deal 2. A moderate amount 3. A little
Universe	IF R ALLOWING TRANSGENDER PPL IN MILITARY/ IF R OPPOSES ALLOWING TRANSGENDER PPL IN MILITARY:
Survey Question(s)	TRANSMIL_ALLOWMILSTR
Response Order	Forward/Reverse order

V202390x	POST: SUMMARY: FAVOR/OPPOSE TRANSENDER PEOPLE SERVE IN MILITARY
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202388 or V202398 1. Favor a great deal 2. Favor a moderate amount 3. Favor a little 4. Neither favor nor oppose 5. Oppose a little 6. Oppose a moderate amount 7. Oppose a great deal

V202400	POST: HOW MUCH IS CHINA A THREAT TO THE UNITED STATES
Question	Next, we’ll ask you the same question for several countries: How much is China a threat to the United States?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 1. Not at all 2. A little 3. A moderate amount 4. A lot 5. A great deal
Survey Question(s)	FRGNTHRT_CHINA
Randomization	Randomize order of all items in FRGNTHRT submodule: CHINA, RUSSIA, MEXICO, IRAN, JAPAN, GERMANY
Response Order	Forward/Reverse order

V202401	POST: HOW MUCH IS RUSSIA A THREAT TO THE UNITED STATES
Question	How much is Russia a threat to the United States?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 1. Not at all 2. A little 3. A moderate amount 4. A lot 5. A great deal
Survey Question(s)	FRGNTHRT_RUSSIA
Randomization	Randomize order of all items in FRGNTHRT submodule: CHINA, RUSSIA, MEXICO, IRAN, JAPAN, GERMANY
Response Order	Forward/Reverse order

V202402	POST: HOW MUCH IS MEXICO A THREAT TO THE UNITED STATES
Question	How much is Mexico a threat to the United States?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error 1. Not at all 2. A little 3. A moderate amount 4. A lot 5. A great deal
Survey Question(s)	FRGNTHRT_MEXICO
Randomization	Randomize order of all items in FRGNTHRT submodule: CHINA, RUSSIA, MEXICO, IRAN, JAPAN, GERMANY
Response Order	Forward/Reverse order

V202403	POST: HOW MUCH IS IRAN A THREAT TO THE UNITED STATES
Question	How much is Iran a threat to the United States?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Not at all 2. A little 3. A moderate amount 4. A lot 5. A great deal
Survey Question(s)	FRGNTHRT_IRAN
Randomization	Randomize order of all items in FRGNTHRT submodule: CHINA, RUSSIA, MEXICO, IRAN, JAPAN, GERMANY
Response Order	Forward/Reverse order

V202404	POST: HOW MUCH IS JAPAN A THREAT TO THE UNITED STATES
Question	How much is Japan a threat to the United States?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Not at all 2. A little 3. A moderate amount 4. A lot 5. A great deal
Survey Question(s)	FRGNTHRT_JAPAN
Randomization	Randomize order of all items in FRGNTHRT submodule: CHINA, RUSSIA, MEXICO, IRAN, JAPAN, GERMANY
Response Order	Forward/Reverse order

V202405	POST: HOW MUCH IS GERMANY A THREAT TO THE UNITED STATES
Question	How much is Germany a threat to the United States?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Not at all 2. A little 3. A moderate amount 4. A lot 5. A great deal
Survey Question(s)	FRGNTHRT_GERMANY
Randomization	Randomize order of all items in FRGNTHRT submodule: CHINA, RUSSIA, MEXICO, IRAN, JAPAN, GERMANY
Response Order	Forward/Reverse order

V202406	POST: CSES5-Q01: HOW INTERESTED IN POLITICS IS R
Question	How interested would you say you are in politics? Are you very interested, somewhat interested, not very interested, or not at all interested?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Very interested 2. Somewhat interested 3. Not very interested 4. Not at all interested
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_INTPOL
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202407	POST: CSES5-Q02: HOW CLOSELY DOES R FOLLOW POLITICS IN MEDIA
Question	And how closely do you follow politics on TV, radio, newspapers, or the Internet?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Very closely 2. Fairly closely 3. Not very closely 4. Not at all
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_MEDPOL
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202408	POST: CSES5-Q03: AGREE/DISAGREE: R UNDERSTANDS MOST IMPORTANT POLITICAL ISSUES
Question	Please tell me whether you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with each of the following statements: You feel you understand the most important political issues of this country. Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_UNDISS
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202409	POST: CSES5-Q04A: ATTITUDES ABOUT ELITES: COMPROMISE IN POLITICS IS SELLING OUT
Question	‘What people call compromise in politics is really just selling out on one’s principles.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_COMPROM
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202410	POST: CSES5-Q04B: ATTITUDES ABOUT ELITES: POLITICIANS DO NOT CARE ABOUT PEOPLE
Question	‘Most politicians do not care about the people.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_POLCARE
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202411	POST: CSES5-Q04C: ATTITUDES ABOUT ELITES: MOST POLITICIANS ARE TRUSTWORTHY
Question	‘Most politicians are trustworthy.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_POLTRUST
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202412	POST: CSES5-Q04D: ATTITUDES ABOUT ELITES: POLITICIANS ARE MAIN PROBLEM IN US
Question	‘Politicians are the main problem in the United States.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_POLPROB
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202413	POST: CSES5-Q04E: ATTITUDES ABOUT ELITES: STRONG LEADER IN GOVERNMENT IS GOOD
Question	‘Having a strong leader in government is good for the United States even if the leader bends the rules to get things done.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_STRLEAD
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202414	POST: CSES5-Q04F: ATTITUDES ABOUT ELITES: PEOPLE SHOULD MAKE POLICY DECISIONS
Question	‘The people, and not politicians, should make our most important policy decisions.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_PEOPLE
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202415	POST: CSES5-Q04G: ATTITUDES ABOUT ELITES: POLITICIANS ONLY CARE ABOUT THE RICH
Question	‘Most politicians care only about the interests of the rich and powerful.’ Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_POLRICH
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202416	POST: CSES5-Q05A: OUT-GROUP ATTITUDES: MINORITIES SHOULD ADAPT
Question	Now thinking about minorities in the United States. Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with the following statement? ‘Minorities should adapt to the customs and traditions of the United States.’
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_MINADAPT
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202417	POST: CSES5-Q05B: OUT-GROUP ATTITUDES: WILL OF MAJORITY SHOULD ALWAYS PREVAIL
Question	Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with the following statement? ‘The will of the majority should always prevail, even over the rights of minorities.’
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_MAJWILL
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202418	POST: CSES5-Q05C: OUT-GROUP ATTITUDES: IMMIGRANTS GOOD FOR AMERICA’S ECONOMY
Question	And now thinking specifically about immigrants. Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with the following statement? ‘Immigrants are generally good for America’s economy.’
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_IMMECON
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202419	POST: CSES5-Q05C: OUT-GROUP ATTITUDES: AMERICA’S CULTURE HARMED BY IMMIGRANTS
Question	Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with the following statement? ‘America’s culture is generally harmed by immigrants.’
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_IMMCULT
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202420	POST: CSES5-Q05C: OUT-GROUP ATTITUDES: IMMIGRANTS INCREASE CRIME RATES IN US
Question	Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with the following statement? ‘Immigrants increase crime rates in the United States.’
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_IMMCRIME
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202421	POST: CSES5-Q06A: NATIONAL IDENTITY: HOW IMPORTANT TO HAVE BEEN BORN IN US
Question	Some people say that the following things are important for being truly American. Others says they are not important. How important do you think the following is for being truly American: very important, fairly important, not very important, or not important at all? To have been born in the United States.
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Very important 2. Fairly important 3. Not very important 4. Not important at all
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_AMERBORN
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202422	POST: CSES5-Q06B: NATIONAL IDENTITY: HOW IMPORTANT TO HAVE AMERICAN ANCESTRY
Question	How important do you think the following is for being truly American: very important, fairly important, not very important, or not important at all? To have American ancestry.
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Very important 2. Fairly important 3. Not very important 4. Not important at all
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_AMERANCEST
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202423	POST: CSES5-Q06C: NATIONAL IDENTITY: HOW IMPORTANT TO BE ABLE TO SPEAK ENGLISH
Question	How important do you think the following is for being truly American: very important, fairly important, not very important, or not important at all? To be able to speak English.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Very important 2. Fairly important 3. Not very important 4. Not important at all
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_AMERENG
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202424	POST: CSES5-Q06D: NATIONAL IDENTITY: HOW IMPORTANT TO FOLLOW AMERICA’S CUSTOMS
Question	How important do you think the following is for being truly American: very important, fairly important, not very important, or not important at all? To follow America’s customs and traditions.
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Very important 2. Fairly important 3. Not very important 4. Not important at all
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_AMERCUST
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202425	POST: CSES5-Q07: HOW WIDESPREAD IS CORRUPTION AMONG POLITICIANS IN US
Question	How widespread do you think corruption such as bribe taking is among politicians in the United States:
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Very widespread 2. Quite widespread 3. Not very widespread 4. Hardly happens at all
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_POLCORRUPT
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202426	POST: CSES5-Q08: GOVERNMENT SHOULD REDUCE DIFFERENCES IN INCOME LEVELS
Question	Please say to what extent you agree or disagree with the following statement: ‘The government should take measures to reduce differences in income levels’. Do you agree strongly, agree somewhat, neither agree nordisagree, disagree somewhat, or disagree strongly?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_DIFFINC
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202427	POST: CSES5-Q09: HOW GOOD/BAD A JOB HAS GOVERNMENT DONE IN LAST 4 YEARS
Question	Now thinking about the performance of the government in Washington in general, how good or bad a job do you think the government has done in the last 4 years? Has it done a very good job? a good job? a bad job? a very bad job?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Very good job 2. Good job 3. Bad job 4. Very bad job
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_PERFGOV
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202428	POST: CSES5-Q10A: IS THERE A PARTY THAT REPRESENTS R’S VIEWS
Question	Would you say that any of the parties in the United States represent your views reasonably well?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_PTYVIEWS
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202429	POST: CSES5-Q10B: PARTY THAT REPRESENTS R’S VIEWS BEST
Question	Which party represents your views best?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Democratic 5. Republican 7. Other {SPECIFY}
Universe	IF R NOT IN GSS SAMPLE / IF R THINKS ANY PARTY REPRESENTS THEIR VIEWS:
Survey Question(s)	CSES5_PTYBEST
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202429z	POST: CSES5-Q10B: PARTY THAT REPRESENTS R’S VIEWS BEST - OTHER SPECIFY
Question	Which party represents your views best?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R NOT IN GSS SAMPLE / IF R THINKS ANY PARTY REPRESENTS THEIR VIEWS:
Survey Question(s)	CSES5_PTYBEST
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202430	POST: CSES5-Q11: STATE OF ECONOMY BETTER OR WORSE OVER PAST 12 MONTHS
Question	Would you say that over the past twelve months, the state of the economy in the United States has gotten much better, gotten somewhat better, stayed about the same, gotten somewhat worse, or gotten much worse?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Gotten much better 2. Gotten somewhat better 3. Stayed about the same 4. Gotten somewhat worse 5. Gotten much worse
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_ECON
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202431	POST: CSES5-Q14A: 5PT SCALE: DOES IT MAKE A DIFFERENCE WHO IS IN POWER
Question	Some people say that it doesn’t make any difference who is in power. Others say that it makes a big difference who is in power. Using the scale, where ONE means that it doesn’t make any difference who is in power and FIVE means that it makes a big difference who is in power, where would you place yourself?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. It doesn’t make any difference who is in power 5. It makes a big difference who is in power
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_DIFFPOWER
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202432	POST: CSES5-Q14B: WHO PEOPLE VOTE FOR MAKES A BIG DIFFERENCE
Question	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 big difference to what happens. Using the scale, where ONE means that voting won’t make any difference to what happens and FIVE means that voting can make a big difference, where would you place yourself?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Who people vote for won’t make any difference 5. Who people vote for can make a big difference
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_VOTEDIFF
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202433	POST: CSES5-Q15A: LIKE-DISLIKE-DEMOCRATIC PARTY
Question	I’d like to know what you think about each of our political parties. After I read the name of a political party, please rate it on a scale from 0 to 10, where 0 means you strongly dislike that party and 10 means that you strongly like that party. If I come to a party you haven’t heard of or you feel you do not know enough about, just say so. The first party is: the Democratic Party
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Strongly dislike 10. Strongly like
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_LDDEMPTY
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202434	POST: CSES5-Q15B: LIKE-DISLIKE-REPUBLICAN PARTY
Question	Using the same scale, where would you place: the Republican Party
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Strongly dislike 10. Strongly like
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_LDREPPTY
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202435	POST: CSES5-Q16A: LIKE-DISLIKE-DEMOCRATIC PRESIDENTIAL CANDIDATE
Question	Using the same scale, where would you place: Joe Biden
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Strongly dislike 10. Strongly like
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_LDDPC
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202436	POST: CSES5-Q16B: LIKE-DISLIKE-REPUBLICAN PRESIDENTIAL CANDIDATE
Question	Using the same scale, where would you place: Donald Trump
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Strongly dislike 10. Strongly like
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_LDRPC
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202437	POST: CSES5-Q17A: LEFT-RIGHT-DEMOCRATIC PARTY
Question	In politics people sometimes talk of left and right. Where would you place the Democratic Party on a scale from 0 to 10 where 0 means the left and 10 means the right?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Left 10. Right
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_LRDPC
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202438	POST: CSES5-Q17B: LEFT-RIGHT-REPUBLICAN PARTY
Question	Using the same scale, where would you place the Republican Party?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Left 10. Right
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_LRRPC
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202439	POST: CSES5-Q18: LEFT-RIGHT-SELF
Question	Where would you place yourself on this scale?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Left 10. Right
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_LRSELF
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202440	POST: CSES5-Q21: SATISFACTION WITH DEMOCRATIC PROCESS
Question	On the whole, are you very satisfied, fairly satisfied, not very satisfied, or not at all satisfied with the way democracy works in the United States?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Very satisfied 2. Fairly satisfied 4. Not very satisfied 5. Not at all satisfied
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_DEMSATIS
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202441	POST: CSES5-Q22A: IS R CLOSE TO ANY POLITICAL PARTY
Question	Do you usually think of yourself as close to any particular party?
Value Labels	-9. Refused -8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 5. No
Universe	IF R NOT IN GSS SAMPLE:
Survey Question(s)	CSES5_PTYCLOSE
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202442	POST: CSES5-Q22B: DOES R FEEL CLOSER TO ONE PARTY
Question	Do you feel yourself a little closer to one of the political parties than the others?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Yes 5. No
Universe	IF R NOT IN GSS SAMPLE / IF R DOES NOT FEEL CLOSE TO ANY PARTICULAR PARTY:
Survey Question(s)	CSES5_PTYCLOSER
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202443	POST: CSES5-Q22C: WHICH PARTY DOES R FEEL CLOSEST TO
Question	Which party do you feel closest to?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Democratic 3. Republican 7. Other {SPECIFY}
Universe	IF R NOT IN GSS SAMPLE / IF R FEELS CLOSE TO ANY PARTICULAR PARTY:
Survey Question(s)	CSES5_WHPTY
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202443z	POST: CSES5-Q22C: WHICH PARTY DOES R FEEL CLOSEST TO - OTHER SPECIFY
Question	Which party do you feel closest to?
Value Labels	-2. Open-end responses available in separate file
Universe	IF R NOT IN GSS SAMPLE / IF R FEELS CLOSE TO ANY PARTICULAR PARTY:
Survey Question(s)	CSES5_WHPTY
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202444	POST: CSES5-Q22D: DEGREE OF CLOSENESS TO THIS PARTY
Question	Do you feel very close to this party, somewhat close, or not very close?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Very close 2. Somewhat close 3. Not very close
Universe	IF R NOT IN GSS SAMPLE / IF R HAS NAMED A PARTY TO WHICH HE/SHE FEELS CLOSEST:
Survey Question(s)	CSES5_HOWCLOSE
Response Order	Forward/Reverse order
Interviewer Instruction	{DO NOT PROBE DON’T KNOW}

V202450a	POST: DOES R HAVE ANY SONS OR DAUGHTERS - ONE OR MORE SONS
Question	On another topic: Do you have any living sons or daughters of any age? Mark all that apply.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Not mentioned 1. Mentioned
Survey Question(s)	RCHILD_ANYCHILD

V202450b	POST: DOES R HAVE ANY SONS OR DAUGHTERS - ONE OR MORE DAUGHTERS
Question	On another topic: Do you have any living sons or daughters of any age? Mark all that apply.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Not mentioned 1. Mentioned
Survey Question(s)	RCHILD_ANYCHILD

V202450c	POST: DOES R HAVE ANY SONS OR DAUGHTERS - NO SONS AND NO DAUGHTERS
Question	On another topic: Do you have any living sons or daughters of any age? Mark all that apply.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Not mentioned 1. Mentioned
Survey Question(s)	RCHILD_ANYCHILD

V202451	POST: HOW MUCH HAVE POLITICAL DIFFERENCES HURT RELATIONSHIPS W/FAMILY
Question	In the past four years, how much have political differences hurt your relationships with family members?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. Not at all
Survey Question(s)	FAMPOL_DIFFHURT
Response Order	Forward/Reverse order

V202452	POST: HOW OFTEN DOES R HAVE CONCERNED FEELINGS FOR OTHER RACIAL/ETHNIC GROUPS
Question	How often would you say that you have tender, concerned feelings for people from another racial or ethnic group who are less fortunate than you?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Extremely often 2. Very often 3. Somewhat often 4. Not too often 5. Not often at all
Survey Question(s)	EMPATHY_CONCERN
Response Order	Forward/Reverse order

V202453	POST: HOW OFTEN DOES R TRY TO UNDERSTAND PERPECTIVE OF OTHER RACIAL/ETHNIC GROUPS
Question	How often would you say you try to better understand people of other racial or ethnic groups by imagining how things look from their perspective?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Extremely often 2. Very often 3. Somewhat often 4. Not too often 5. Not often at all
Survey Question(s)	EMPATHY_PERSP
Response Order	Forward/Reverse order

V202454	POST: HOW OFTEN R IMAGINES HOW THEY WOULD FEEL BEFORE CRITICIZING OTHER GROUPS
Question	Before criticizing somebody from another racial or ethnic group, how often do you try to imagine how you would feel if you were in their place?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Extremely often 2. Very often 3. Somewhat often 4. Not too often 5. Not often at all
Survey Question(s)	EMPATHY_PLACE
Response Order	Forward/Reverse order

V202455	POST: HOW OFTEN R FEELS PROTECTIVE OF SOMEONE DUE TO RACE OR ETHNICITY
Question	When you see someone being taken advantage of due to their race or ethnicity, how often do you feel protective towards them?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Extremely often 2. Very often 3. Somewhat often 4. Not too often 5. Not often at all
Survey Question(s)	EMPATHY_ADVANT
Response Order	Forward/Reverse order

V202456	POST: DURING PAST 12 MONTHS, R OR ANY FAMILY MEMBERS STOPPED BY POLICE
Question	During the past 12 months, were you or any of your family members stopped orquestioned by a police officer, or did this not happen in the past 12 months?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Was stopped or questioned in the past 12 months 2. Was not stopped or questioned in the past 12 months
Survey Question(s)	OWNPOLICE_STOPQUES

V202457	POST: HAS R EVER BEEN ARRESTED
Question	Have you ever been arrested, or has that never happened to you?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Have been arrested 2. Never arrested
Survey Question(s)	OWNPOLICE_ARRESTED

V202458	RESTRICTED: POST: TOTAL INCOME AMOUNT
Question	The next question is about [the total combined income of all members of your family / your total income] during the past 12 months. This includes money from jobs, net income from business, farm or rent, pensions, dividends, interest, Social Security payments and any other money income received by members of your family who are 15 years of age or older. What was the total income of your family during the past 12 months? TYPE THE NUMBER. YOUR BEST GUESS IS FINE.
Value Labels	-3. Restricted
Universe	IF R DID NOT PROVIDE INCOME IN THE PRE: IF R IS NOT ONLY MEMBER OF R’S FAMILY IN RESIDENCE IN R’S HOUSEHOLD / IF R IS ONLY MEMBER OF R’S FAMILY IN RESIDENCE IN R’S HOUSEHOLD:
Survey Question(s)	INCPO_TOTINC

V202459	RESTRICTED: POST: INCOME AMT MISSING - GE OR LT 40K
Question	Was it $40,000 or more, or less than that?
Value Labels	-3. Restricted
Universe	IF R DID NOT PROVIDE INCOME IN THE PRE: IF TOTAL INCOME NUMBER GIVEN BY R WAS MISSING:
Survey Question(s)	INCPO_TOTMISS40

V202460	RESTRICTED: POST: INCOME AMT MISSING - GE OR LT 20K
Question	Was it $20,000 or more, or less than that?
Value Labels	-3. Restricted
Universe	IF R DID NOT PROVIDE INCOME IN THE PRE: IF TOTAL INCOME NUMBER GIVEN BY R WAS MISSING: IF R INDICATED INCOME LESS THAN $40,000:
Survey Question(s)	INCPO_TOTMISS20

V202461	RESTRICTED: POST: INCOME AMT MISSING - CATEGORIES LT 20K
Question	Please mark the answer that includes the income of all members of your family during the past 12 months before taxes.
Value Labels	-3. Restricted
Universe	IF R DID NOT PROVIDE INCOME IN THE PRE: IF TOTAL INCOME NUMBER GIVEN BY R WAS MISSING: IF R INDICATED INCOME LESS THAN $40,000: IF R INDICATED INCOME LESS THAN $20,000:
Survey Question(s)	INCPO_TOTL20

V202462	RESTRICTED: POST: INCOME AMT MISSING - CATEGORIES 20-40K
Question	Please mark the answer that includes the income of all members of your family during the past 12 months before taxes.
Value Labels	-3. Restricted
Universe	IF R DID NOT PROVIDE INCOME IN THE PRE: IF TOTAL INCOME NUMBER GIVEN BY R WAS MISSING: IF R INDICATED INCOME LESS THAN $40,000: IF R INDICATED INCOME $20,000 OR MORE:
Survey Question(s)	INCPO_TOTG20L40

V202463	RESTRICTED: POST: INCOME AMT MISSING - GE OR LT 70K
Question	Was it $70,000 or more, or less than that?
Value Labels	-3. Restricted
Universe	IF R DID NOT PROVIDE INCOME IN THE PRE: IF TOTAL INCOME NUMBER GIVEN BY R WAS MISSING: IF R INDICATED INCOME $40,000 OR MORE:
Survey Question(s)	INCPO_TOTMISS70

V202464	RESTRICTED: POST: INCOME AMT MISSING - CATEGORIES 40-70K
Question	Please mark the answer that includes the income of all members of your family during the past 12 months before taxes.
Value Labels	-3. Restricted
Universe	IF R DID NOT PROVIDE INCOME IN THE PRE: IF TOTAL INCOME NUMBER GIVEN BY R WAS MISSING: IF R INDICATED INCOME $40,000 OR MORE: IF R INDICATED INCOME LESS THAN $70,000:
Survey Question(s)	INCPO_TOTG40L70

V202465	RESTRICTED: POST: INCOME AMT MISSING - GE OR LT 100K
Question	Was it $100,000 or more, or less than that?
Value Labels	-3. Restricted
Universe	IF R DID NOT PROVIDE INCOME IN THE PRE: IF TOTAL INCOME NUMBER GIVEN BY R WAS MISSING: IF R INDICATED INCOME $40,000 OR MORE: IF R INDICATED INCOME $70,000 OR MORE:
Survey Question(s)	INCPO_TOTMISS100

V202466	RESTRICTED: POST: INCOME AMT MISSING - CATEGORIES 70-100K
Question	Please mark the answer that includes the income of all members of your family during the past 12 months before taxes.
Value Labels	-3. Restricted
Universe	IF R DID NOT PROVIDE INCOME IN THE PRE: IF TOTAL INCOME NUMBER GIVEN BY R WAS MISSING: IF R INDICATED INCOME $40,000 OR MORE: IF R INDICATED INCOME $70,000 OR MORE: IF R INDICATED INCOME LESS THAN $100,000:
Survey Question(s)	INCPO_TOTG70L100

V202467	RESTRICTED: POST: INCOME AMT MISSING - CATEGORIES 100+K
Question	Please mark the answer that includes the income of all members of your family during the past 12 months before taxes.
Value Labels	-3. Restricted
Universe	IF R DID NOT PROVIDE INCOME IN THE PRE: IF TOTAL INCOME NUMBER GIVEN BY R WAS MISSING: IF R INDICATED INCOME $40,000 OR MORE: IF R INDICATED INCOME $70,000 OR MORE: IF R INDICATED INCOME $100,000 OR MORE:
Survey Question(s)	INCPO_TOTG100

V202468x	PRE-POST: SUMMARY: TOTAL (FAMILY) INCOME
Value Labels	-9. Refused -5. Breakoff, sufficient partial IW 1. Under $9,999 2. $10,000-14,999 3. $15,000-19,999 4. $20,000-24,999 5. $25,000-29,999 6. $30,000-34,999 7. $35,000-39,999 8. $40,000-44,999 9. $45,000-49,999 10. $50,000-59,999 11. $60,000-64,999 12. $65,000-69,999 13. $70,000-74,999 14. $75,000-79,999 15. $80,000-89,999 16. $90,000-99,999 17. $100,000-109,999 18. $110,000-124,999 19. $125,000-149,999 20. $150,000-174,999 21. $175,000-249,999 22. $250,000 or more
Survey Question(s)	INCPO_TOTINC, INCPO_TOTL20, INCPO_TOTG20L40, INCPO_TOTG40L70, INCPO_TOTG70L100, INCPO_TOTG100

V202469	POST: R SMOKED 100 CIGARETTES IN LIFE
Question	Have you smoked at least 100 cigarettes in your entire life?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	HLTHPO_SMOKELIFE

V202470	POST: R CURRENTLY SMOKING
Question	Do you now smoke cigarettes every day, some days, or not at all?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Every day 2. Some days 3. Not at all
Universe	IF R HAS SMOKED AT LEAST 100 CIGARETTES:
Survey Question(s)	HLTHPO_SMOKECURR

V202471	POST: R HAS FAMILY/NEIGHBORS/COWORKERS/FRIENDS WHO ARE GAY, LESBIAN OR BISEXUAL
Question	Among your immediate family members, relatives, neighbors, co-workers, or close friends, are any of them gay, lesbian, or bisexual as far as you know?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	KNOWLGBT_KNOWGAY

V202472a	POST: WHAT IS R’S RELATIONSHIP TO THAT PERSON (OR PEOPLE) - IMMEDIATE FAMILY
Question	What is your relationship to that person or people? Mark any that apply
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HAS GAY FAMILY MEMBER, RELATIVE, NEIGHBOR, CO-WORKER, CLOSE FRIEND:
Survey Question(s)	KNOWLGBT_RELGAY

V202472b	POST: WHAT IS R’S RELATIONSHIP TO THAT PERSON (OR PEOPLE) - OTHER RELATIVE
Question	What is your relationship to that person or people? Mark any that apply
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HAS GAY FAMILY MEMBER, RELATIVE, NEIGHBOR, CO-WORKER, CLOSE FRIEND:
Survey Question(s)	KNOWLGBT_RELGAY

V202472c	POST: WHAT IS R’S RELATIONSHIP TO THAT PERSON (OR PEOPLE) - NEIGHBOR
Question	What is your relationship to that person or people? Mark any that apply
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HAS GAY FAMILY MEMBER, RELATIVE, NEIGHBOR, CO-WORKER, CLOSE FRIEND:
Survey Question(s)	KNOWLGBT_RELGAY

V202472d	POST: WHAT IS R’S RELATIONSHIP TO THAT PERSON (OR PEOPLE) - CO-WORKER
Question	What is your relationship to that person or people? Mark any that apply
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HAS GAY FAMILY MEMBER, RELATIVE, NEIGHBOR, CO-WORKER, CLOSE FRIEND:
Survey Question(s)	KNOWLGBT_RELGAY

V202472e	POST: WHAT IS R’S RELATIONSHIP TO THAT PERSON (OR PEOPLE) - CLOSE FRIEND
Question	What is your relationship to that person or people? Mark any that apply
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HAS GAY FAMILY MEMBER, RELATIVE, NEIGHBOR, CO-WORKER, CLOSE FRIEND:
Survey Question(s)	KNOWLGBT_RELGAY

V202472f	POST: WHAT IS R’S RELATIONSHIP TO THAT PERSON (OR PEOPLE) - OTHER RELATIONSHIP
Question	What is your relationship to that person or people? Mark any that apply
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HAS GAY FAMILY MEMBER, RELATIVE, NEIGHBOR, CO-WORKER, CLOSE FRIEND:
Survey Question(s)	KNOWLGBT_RELGAY

V202473	POST: R HAS FAMILY/NEIGHBORS/COWORKERS/FRIENDS WHO ARE TRANSGENDER
Question	Among your immediate family members, relatives, neighbors, co-workers, or close friends, are any of them transgender as far as you know?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	KNOWLGBT_KNOWTRANS

V202474a	POST: WHAT IS R’S RELATIONSHIP TO THAT PERSON (OR PEOPLE) - IMMEDIATE FAMILY
Question	What is your relationship to that person or people? Mark any that apply
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HAS TRANSGENDER FAMILY MEMBER, RELATIVE, NEIGHBOR, CO-WORKER, CLOSE FRIEND:
Survey Question(s)	KNOWLGBT_RELTRANS

V202474b	POST: WHAT IS R’S RELATIONSHIP TO THAT PERSON (OR PEOPLE) - OTHER RELATIVE
Question	What is your relationship to that person or people? Mark any that apply
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HAS TRANSGENDER FAMILY MEMBER, RELATIVE, NEIGHBOR, CO-WORKER, CLOSE FRIEND:
Survey Question(s)	KNOWLGBT_RELTRANS

V202474c	POST: WHAT IS R’S RELATIONSHIP TO THAT PERSON (OR PEOPLE) - NEIGHBOR
Question	What is your relationship to that person or people? Mark any that apply
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HAS TRANSGENDER FAMILY MEMBER, RELATIVE, NEIGHBOR, CO-WORKER, CLOSE FRIEND:
Survey Question(s)	KNOWLGBT_RELTRANS

V202474d	POST: WHAT IS R’S RELATIONSHIP TO THAT PERSON (OR PEOPLE) - CO-WORKER
Question	What is your relationship to that person or people? Mark any that apply
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HAS TRANSGENDER FAMILY MEMBER, RELATIVE, NEIGHBOR, CO-WORKER, CLOSE FRIEND:
Survey Question(s)	KNOWLGBT_RELTRANS

V202474e	POST: WHAT IS R’S RELATIONSHIP TO THAT PERSON (OR PEOPLE) - CLOSE FRIEND
Question	What is your relationship to that person or people? Mark any that apply
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HAS TRANSGENDER FAMILY MEMBER, RELATIVE, NEIGHBOR, CO-WORKER, CLOSE FRIEND:
Survey Question(s)	KNOWLGBT_RELTRANS

V202474f	POST: WHAT IS R’S RELATIONSHIP TO THAT PERSON (OR PEOPLE) - OTHER RELATIONSHIP
Question	What is your relationship to that person or people? Mark any that apply
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF R HAS TRANSGENDER FAMILY MEMBER, RELATIVE, NEIGHBOR, CO-WORKER, CLOSE FRIEND:
Survey Question(s)	KNOWLGBT_RELTRANS

V202475	POST: DOES R CONSIDER THEMSELF A FEMINIST OR ANTI-FEMINIST
Question	Do you consider yourself a feminist, an anti-feminist, or neither of these?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Feminist 2. Anti-feminist 3. Neither
Survey Question(s)	FEMINISM_RFEMREV

V202476	POST: HOW IMPORTANT IS BEING A FEMINIST
Question	How important is it to you to be a feminist?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Extremely important 2. Very important 3. Somewhat important 4. A little important 5. Not at all important
Universe	IF R CONSIDERS THEMSELF A FEMINIST:
Survey Question(s)	FEMINISM_IMPFEM
Response Order	Forward/Reverse order

V202477	POST: FEELING THERMOMETER: ASIAN-AMERICANS
Question	The next set of questions uses the same thermometer scale which you used earlier in the interview. Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the group. Ratings between 0 degrees and 50 degrees mean that you don’t feel favorable toward the group and that you don’t care too much for that group. You would rate the group at the 50 degree mark if you don’t feel particularly warm or cold toward the group. On the feeling thermometer scale of 0 to 100, how would you rate Asian-Americans?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable
Universe	IF FIRST CASI THERMOMETER RATING / IF NOT FIRST CASI THERMOMETER RATING / IF R SELECTED FOR THGRASIAN:
Survey Question(s)	THCASI_THGRASIAN
Randomization	Order of CASI group thermometers

V202478	POST: FEELING THERMOMETER: ASIANS
Question	How would you rate Asians?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable
Universe	IF FIRST CASI THERMOMETER RATING / IF NOT FIRST CASI THERMOMETER RATING / IF R SELECTED FOR THGRASIANREV:
Survey Question(s)	THCASI_THGRASIANREV
Randomization	Order of CASI group thermometers

V202479	POST: FEELING THERMOMETER: HISPANICS
Question	How would you rate Hispanics?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error
Universe	IF FIRST CASI THERMOMETER RATING / IF NOT FIRST CASI THERMOMETER RATING:
Survey Question(s)	THCASI_THGRHISP
Randomization	Order of CASI group thermometers

V202480	POST: FEELING THERMOMETER: BLACKS
Question	How would you rate blacks?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error
Universe	IF FIRST CASI THERMOMETER RATING / IF NOT FIRST CASI THERMOMETER RATING:
Survey Question(s)	THCASI_THGRBLACK
Randomization	Order of CASI group thermometers

V202481	POST: FEELING THERMOMETER: ILLEGAL IMMIGRANTS
Question	How would you rate illegal immigrants?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error
Universe	IF FIRST CASI THERMOMETER RATING / IF NOT FIRST CASI THERMOMETER RATING:
Survey Question(s)	THCASI_THGRILLEG
Randomization	Order of CASI group thermometers

V202482	POST: FEELING THERMOMETER: WHITES
Question	How would you rate whites?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error
Universe	IF FIRST CASI THERMOMETER RATING / IF NOT FIRST CASI THERMOMETER RATING:
Survey Question(s)	THCASI_THGRWHITE
Randomization	Order of CASI group thermometers

V202483	POST: HOW IMPORTANT WHITES WORK TOGETHER TO CHANGE LAWS UNFAIR TO WHITES
Question	How important is it that whites work together to change laws that are unfairto whites?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Universe	IF R SELF-IDENTIFIED RACE IN PRE AS WHITE ONLY:
Survey Question(s)	GRPCONSC_WHITEWORK
Response Order	Forward/Reverse order

V202484	POST: HOW IMPORTANT BLACKS WORK TOGETHER TO CHANGE LAWS UNFAIR TO BLACKS
Question	How important is it that blacks work together to change laws that are unfair to blacks?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technica error -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Variable Note	Due to a programming error, respondents who identified themselves as Hispanic were erroneously asked to answer BLACKWORK.
Universe	IF R SELF-IDENTIFIED RACE IN PRE AS BLACK OR AFRICAN AMERICAN ONLY:
Survey Question(s)	GRPCONSC_BLACKWORK
Response Order	Forward/Reverse order

V202485	POST: HOW IMPORTANT HISPANICS WORK TOGETHER TO CHANGE LAWS UNFAIR TO HISPANICS
Question	How important is it that Hispanics work together to change laws that are unfair to Hispanics?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Universe	IF R SELF-IDENTIFIED RACE IN PRE AS HSPANIC ONLY:
Survey Question(s)	GRPCONSC_HISPWORK
Response Order	Forward/Reverse order

V202486	POST: HOW IMPORTANT ASIANS WORK TOGETHER TO CHANGE LAWS UNFAIR TO ASIANS
Question	How important is it that Asians work together to change laws that are unfair to Asians?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -4. Technical error -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Variable Note	Due to a programming error, some respondents erroneously were asked ASIANWORK. Their responses were recoded to -4.
Universe	IF R SELF-IDENTIFIED RACE IN PRE AS ASIAN OR ASIAN AMERICAN ONLY:
Survey Question(s)	GRPCONSC_ASIANWORK
Response Order	Forward/Reverse order

V202487	POST: HOW LIKELY WHITES UNABLE TO FIND JOBS BECAUSE EMPLOYERS HIRING MINORITIES
Question	How likely is it that many whites are unable to find a job because employers are hiring minorities instead?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Extremely likely 2. Very likely 3. Moderately likely 4. Slightly likely 5. Not at all likely
Survey Question(s)	GRPCONSC_WHITEJOB
Response Order	Forward/Reverse order

V202488	POST: DOES FEDERAL GOVERNMENT TREAT BLACKS OR WHITES BETTER
Question	In general, does the federal government treat whites better than blacks, treat them both the same, or treat blacks better than whites?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Treat whites better 2. Treat both the same 3. Treat blacks better
Survey Question(s)	TREATBLACK_DISCFED
Response Order	Forward/Reverse order

V202489	POST: HOW MUCH BETTER DOES FEDERAL GOVERNMENT TREAT BLACKS OR WHITES
Question	Does the federal government treat [whites/blacks] much better, moderately better, or a little better?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Much 2. Moderately 3. A little
Universe	IF R SAYS FEDERAL GOVT TREATS WHITES BETTER THAN BLACKS / IF R SAYS FEDERAL GOVT TREATS BLACKS BETTER THAN WHITES:
Survey Question(s)	TREATBLACK_DISCFEDAMT
Response Order	Forward/Reverse order

V202490x	POST: SUMMARY: FEDERAL GOVERNMENT TREATS BLACKS OR WHITES BETTER
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202488 or V202489 1. Treat whites much better 2. Treat whites moderately better 3. Treat whites a little better 4. Treat both the same 5. Treat blacks a little better 6. Treat blacks moderately better 7. Treat blacks much better

V202491	POST: DO POLICE TREAT BLACKS OR WHITES BETTER
Question	In general, do the police treat whites better than blacks, treat them both thesame, or treat blacks better than whites?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Treat whites better 2. Treat both the same 3. Treat blacks better
Survey Question(s)	TREATBLACK_DISCPOLICE
Response Order	Forward/Reverse order

V202492	POST: HOW MUCH BETTER DO POLICE TREAT BLACKS OR WHITES
Question	Do the police treat [whites/blacks] much better, moderately better, or a little better?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Much 2. Moderately 3. A little
Universe	IF R SAYS POLICE TREAT WHITES BETTER THAN BLACKS / IF R SAYS POLICE TREAT BLACKS BETTER THAN WHITES:
Survey Question(s)	TREATBLACK_DISCPOLICEAMT
Response Order	Forward/Reverse order

V202493x	POST: SUMMARY: POLICE TREAT BLACKS OR WHITES BETTER
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -2. DK/RF in V202491 or V202492 1. Treat whites much better 2. Treat whites moderately better 3. Treat whites a little better 4. Treat both the same 5. Treat blacks a little better 6. Treat blacks moderately better 7. Treat blacks much better

V202494	POST: HOW MUCH INFLUENCE DO WHITES HAVE IN US POLITICS
Question	Would you say that whites have too much influence in American politics, just about the right amount of influence in American politics, or too little influence in American politics?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Too much influence 2. Just about the right amount of influence 3. Too little influence
Survey Question(s)	RACEGENPO_INFLWHITE
Response Order	Forward/Reverse order

V202495	POST: HOW MUCH INFLUENCE DO BLACKS HAVE IN US POLITICS
Question	Would you say that blacks have too much influence in American politics, just about the right amount of influence in American politics, or too little influence in American politics?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Too much influence 2. Just about the right amount of influence 3. Too little influence
Survey Question(s)	RACEGENPO_INFLBLACKS
Response Order	Forward/Reverse order

V202496	POST: HOW MUCH INFLUENCE DO HISPANICS HAVE IN US POLITICS
Question	Would you say that Hispanics have too much influence in American politics, just about the right amount of influence in American politics, or too little influence in American politics?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Too much influence 2. Just about the right amount of influence 3. Too little influence
Survey Question(s)	RACEGENPO_INFLHISP
Response Order	Forward/Reverse order

V202497	POST: HOW MUCH INFLUENCE DO ASIANS HAVE IN US POLITICS
Question	Would you say that Asians have too much influence in American politics, just about the right amount of influence in American politics, or too little influence in American politics?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Too much influence 2. Just about the right amount of influence 3. Too little influence
Survey Question(s)	RACEGENPO_INFLAS
Response Order	Forward/Reverse order

V202498	RESTRICTED: POST: HOW IMPORTANT IS BEING HISPANIC TO R’S IDENTITY
Question	How important is being Hispanic to your identity?
Value Labels	-3. Restricted
Universe	IF R IDENTIFIED AS HISPANIC IN THE PRE:
Survey Question(s)	IDENT_HISPID
Response Order	Forward/Reverse order

V202498x	POST: SUMMARY: HOW IMPORTANT IS BEING HISPANIC TO R’S IDENTITY
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -3. Restricted -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important

V202499	RESTRICTED: POST: HOW IMPORTANT IS BEING WHITE TO R’S IDENTITY
Question	How important is being white to your identity?
Value Labels	-3. Restricted
Universe	IF R MENTIONS WHITE IN PRE RACE SELF-IDENTIFICATION:
Survey Question(s)	IDENT_WHITEID
Response Order	Forward/Reverse order

V202499x	POST: SUMMARY: HOW IMPORTANT IS BEING WHITE TO R’S IDENTITY
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -3. Restricted -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important

V202500	RESTRICTED: POST: HOW IMPORTANT IS BEING BLACK TO R’S IDENTITY
Question	How important is being black or African-American to your identity?
Value Labels	-3. Restricted
Universe	IF R MENTIONS BLACK IN PRE RACE SELF-IDENTIFICATION:
Survey Question(s)	IDENT_BLACKID
Response Order	Forward/Reverse order

V202500x	POST: SUMMARY: HOW IMPORTANT IS BEING BLACK TO R’S IDENTITY
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -3. Restricted -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important

V202501	RESTRICTED: POST: HOW IMPORTANT IS BEING NATIVE AMERICAN TO R’S IDENTITY
Question	How important is being American Indian or Alaska Native to your identity?
Value Labels	-3. Restricted
Universe	IF R MENTIONS NATIVE AMERICAN IN PRE RACE SELF-IDENTIFICATION:
Survey Question(s)	IDENT_NATIVEID
Response Order	Forward/Reverse order

V202501x	POST: SUMMARY: HOW IMPORTANT IS BEING NATIVE AMERICAN TO R’S IDENTITY
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -3. Restricted -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important

V202502_asian	RESTRICTED: POST: HOW IMPORTANT IS BEING ASIAN TO R’S IDENTITY
Question	How important is being Asian to your identity?
Value Labels	-3. Restricted
Universe	IF R MENTIONS ASIAN IN PRE RACE SELF-IDENTIFICATION:
Survey Question(s)	IDENT_ASIANID
Response Order	Forward/Reverse order

V202502_pacific	RESTRICTED: POST: HOW IMPORTANT IS BEING PACIFIC ISLANDER TO R’S IDENTITY
Question	How important is being Native Hawaiian or other Pacific Islander to your identity?
Value Labels	-3. Restricted
Universe	IF R MENTIONS NATIVE HAWAIIAN OR OTHER PACIFIC ISLANDER IN PRE RACE SELF-IDENTIFICATION:
Survey Question(s)	IDENT_PACIFID
Response Order	Forward/Reverse order

V202502x	POST: SUMMARY: HOW IMPORTANT IS BEING ASIAN OR PACIFIC ISLANDER TO R’S IDENTITY
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -3. Restricted -1. Inapplicable 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important

V202504	POST: HOW IMPORTANT IS BEING AMERICAN TO R’S IDENTITY
Question	How important is being American to your identity?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Extremely important 2. Very important 3. Moderately important 4. A little important 5. Not at all important
Survey Question(s)	IDENT_AMERID
Response Order	Forward/Reverse order

V202505	POST: WHITE R: WHAT HAPPENS TO WHITE PEOPLE WILL AFFECT R’S LIFE
Question	How much do you think that what happens generally to white people in this country will affect what happens in your life?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A lot 2. Some 3. Not very much 4. Not at all
Universe	IF R IS IDENTIFIED AS WHITE IN PRE-ELECTION INTERVIEW:
Survey Question(s)	LINK_AFFWHITES
Response Order	Forward/Reverse order

V202506	POST: HISPANIC R: WHAT HAPPENS TO HISPANIC PEOPLE WILL AFFECT R’S LIFE
Question	How much do you think that what happens generally to Hispanic people in this country will affect what happens in your life?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A lot 2. Some 3. Not very much 4. Not at all
Universe	IF R IS IDENTIFIED AS HISPANIC IN PRE-ELECTION INTERVIEW:
Survey Question(s)	LINK_AFFHISP
Response Order	Forward/Reverse order

V202507	POST: BLACK R: WHAT HAPPENS TO BLACK PEOPLE WILL AFFECT R’S LIFE
Question	How much do you think that what happens generally to black people in this country will affect what happens in your life?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A lot 2. Some 3. Not very much 4. Not at all
Universe	IF R IS IDENTIFIED AS BLACK OR AFRICAN-AMERICAN IN PRE-ELECTION INTERVIEW:
Survey Question(s)	LINK_AFFBLACKS
Response Order	Forward/Reverse order

V202508	POST: ASIAN R: WHAT HAPPENS TO ASIAN PEOPLE WILL AFFECT R’S LIFE
Question	How much do you think that what happens generally to Asian people in this country will affect what happens in your life?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. A lot 2. Some 3. Not very much 4. Not at all
Universe	IF R IS IDENTIFIED AS ASIAN IN PRE-ELECTION INTERVIEW:
Survey Question(s)	LINK_AFFASIAN
Response Order	Forward/Reverse order

INTRO STEREOTYPE HARDWORKING

Now we have some questions about different groups in our society. We’re going to describe a seven-point scale on which the characteristics of the people in a group can be rated. In the first statement a score of ‘1’ means that you think almost all of the people in that group tend to be ‘hard-working.’ A score of ‘7’ means that you think most people in the group are ‘lazy.’ A score of ‘4’ means that you think that most people in the group are not closer to one end or the other, and of course, you may choose any number in between.

V202515	POST: STEREOTYPE: WHITES HARDWORKING
Question	On this scale from 1 to 7, where 1 means hard-working and 7 means lazy, where would you rate Whites in general on this scale?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Hard-working 7. Lazy
Survey Question(s)	STYPEPO_HWKWHITE

V202516	POST: STEREOTYPE: BLACKS HARDWORKING
Question	On this scale from 1 to 7, where 1 means hard-working and 7 means lazy, where would you rate blacks in general on this scale?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Hard-working 7. Lazy
Survey Question(s)	STYPEPO_HWKBLACK
Randomization	Order of hardworking stereotype groups after Whites

V202517	POST: STEREOTYPE: HISPANIC-AMERICANS HARDWORKING
Question	On this scale from 1 to 7, where 1 means hard-working and 7 means lazy, where would you rate Hispanic-Americans in general on this scale?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Hard-working 7. Lazy
Universe	IF R SELECTED FOR HWKHISP:
Survey Question(s)	STYPEPO_HWKHISP
Randomization	Order of hardworking stereotype groups after Whites

V202518	POST: STEREOTYPE: HISPANICS HARDWORKING
Question	On this scale from 1 to 7, where 1 means hard-working and 7 means lazy, where would you rate Hispanics in general on this scale?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Hard-working 7. Lazy
Universe	IF R SELECTED FOR HWKHISPREV:
Survey Question(s)	STYPEPO_HWKHISPREV
Randomization	Order of hardworking stereotype groups after Whites

V202519	POST: STEREOTYPE: ASIAN-AMERICANS HARDWORKING
Question	On this scale from 1 to 7, where 1 means hard-working and 7 means lazy, where would you rate Asian-Americans in general on this scale?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Hard-working 7. Lazy
Universe	IF R SELECTED FOR HWKASIAN:
Survey Question(s)	STYPEPO_HWKASIAN
Randomization	Order of hardworking stereotype groups after Whites

V202520	POST: STEREOTYPE: ASIANS HARDWORKING
Question	On this scale from 1 to 7, where 1 means hard-working and 7 means lazy, where would you rate Asians in general on this scale?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Hard-working 7. Lazy
Universe	IF R SELECTED FOR HWKASIANREV:
Survey Question(s)	STYPEPO_HWKASIANREV
Randomization	Order of hardworking stereotype groups after Whites

INTRO STEREOTYPE VIOLENT

The next set asks if people in each group tend to be ‘peaceful’ or ‘violent’.

V202521	POST: STEREOTYPE: WHITES VIOLENT
Question	On this scale from 1 to 7, where 1 means peaceful and 7 means violent, where would you rate whites in general on this scale?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Peaceful 7. Violent
Survey Question(s)	STYPEPO_VIOLWHITE

V202522	POST: STEREOTYPE: BLACKS VIOLENT
Question	On this scale from 1 to 7, where 1 means peaceful and 7 means violent, where would you rate blacks in general on this scale?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Peaceful 7. Violent
Survey Question(s)	STYPEPO_VIOLBLACK
Randomization	Order of peaceful stereotype groups after Whites

V202523	POST: STEREOTYPE: HISPANIC-AMERICANS VIOLENT
Question	On this scale from 1 to 7, where 1 means peaceful and 7 means violent, where would you rate Hispanic-Americans in general on this scale?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Peaceful 7. Violent
Universe	IF R SELECTED FOR VIOLHISP:
Survey Question(s)	STYPEPO_VIOLHISP
Randomization	Order of peaceful stereotype groups after Whites

V202524	POST: STEREOTYPE: HISPANICS VIOLENT
Question	On this scale from 1 to 7, where 1 means peaceful and 7 means violent, where would you rate Hispanics in general on this scale?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Peaceful 7. Violent
Universe	IF R SELECTED FOR VIOLHISPREV:
Survey Question(s)	STYPEPO_VIOLHISPREV
Randomization	Order of peaceful stereotype groups after Whites

V202525	POST: STEREOTYPE: ASIAN-AMERICANS VIOLENT
Question	On this scale from 1 to 7, where 1 means peaceful and 7 means violent, where would you rate Asian-Americans in general on this scale?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Peaceful 7. Violent
Universe	IF R SELECTED FOR VIOLASIAN:
Survey Question(s)	STYPEPO_VIOLASIAN
Randomization	Order of peaceful stereotype groups after Whites

V202526	POST: STEREOTYPE: ASIANS VIOLENT
Question	On this scale from 1 to 7, where 1 means peaceful and 7 means violent, where would you rate Asians in general on this scale?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Peaceful 7. Violent
Universe	IF R SELECTED FOR VIOLASIANREV:
Survey Question(s)	STYPEPO_VIOLASIANREV
Randomization	Order of peaceful stereotype groups after Whites

INTRO DISCRIMINATION IN THE U.S.

For each of the following groups, how much discrimination is there in the United States today?

V202527	POST: DISCRIMINATION IN THE US AGAINST BLACKS
Question	Blacks
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. None at all
Survey Question(s)	DISCRIM_DISCBLCK
Randomization	Items divided into two groups to display in two grids. Order of items in each grid randomized. Group 1: DISCBLCK, DISCHISP, DISCASIAN, DISCWHT, DISCMUSL, DISCTIAN; Group 2: DISCGAY, DISCWOM, DISCMEN, DISCTRANS.
Response Order	Forward/Reverse order

V202528	POST: DISCRIMINATION IN THE US AGAINST HISPANICS
Question	Hispanics
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. None at all
Survey Question(s)	DISCRIM_DISCHISP
Randomization	Items divided into two groups to display in two grids. Order of items in each grid randomized. Group 1: DISCBLCK, DISCHISP, DISCASIAN, DISCWHT, DISCMUSL, DISCTIAN; Group 2: DISCGAY, DISCWOM, DISCMEN, DISCTRANS.
Response Order	Forward/Reverse order

V202529	POST: DISCRIMINATION IN THE US AGAINST ASIANS
Question	Asians
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. None at all
Survey Question(s)	DISCRIM_DISCASIAN
Randomization	Items divided into two groups to display in two grids. Order of items in each grid randomized. Group 1: DISCBLCK, DISCHISP, DISCASIAN, DISCWHT, DISCMUSL, DISCTIAN; Group 2: DISCGAY, DISCWOM, DISCMEN, DISCTRANS.
Response Order	Forward/Reverse order

V202530	POST: DISCRIMINATION IN THE US AGAINST WHITES
Question	Whites
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. None at all
Survey Question(s)	DISCRIM_DISCWHT
Randomization	Items divided into two groups to display in two grids. Order of items in each grid randomized. Group 1: DISCBLCK, DISCHISP, DISCASIAN, DISCWHT, DISCMUSL, DISCTIAN; Group 2: DISCGAY, DISCWOM, DISCMEN, DISCTRANS.
Response Order	Forward/Reverse order

V202531	POST: DISCRIMINATION IN THE US AGAINST MUSLIMS
Question	Muslims
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. None at all
Variable Note	This variable has been renamed. In the preliminary release, the discrimination against Muslims variable was V202534.
Survey Question(s)	DISCRIM_DISCMUSL
Randomization	Items divided into two groups to display in two grids. Order of items in each grid randomized. Group 1: DISCBLCK, DISCHISP, DISCASIAN, DISCWHT, DISCMUSL, DISCTIAN; Group 2: DISCGAY, DISCWOM, DISCMEN, DISCTRANS.
Response Order	Forward/Reverse order

V202532	POST: DISCRIMINATION IN THE US AGAINST CHRISTIANS
Question	Christians
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. None at all
Variable Note	This variable has been renamed. In the preliminary release, the discrimination against Christians variable was V202535.
Survey Question(s)	DISCRIM_DISCXTIAN
Randomization	Items divided into two groups to display in two grids. Order of items in each grid randomized. Group 1: DISCBLCK, DISCHISP, DISCASIAN, DISCWHT, DISCMUSL, DISCTIAN; Group 2: DISCGAY, DISCWOM, DISCMEN, DISCTRANS.
Response Order	Forward/Reverse order

V202533	POST: DISCRIMINATION IN THE US AGAINST GAYS AND LESBIANS
Question	Gays and lesbians
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. None at all
Variable Note	This variable has been renamed. In the preliminary release, the discrimination against Gays and Lesbians variable was V202531.
Survey Question(s)	DISCRIM_DISCGAY
Randomization	Items divided into two groups to display in two grids. Order of items in each grid randomized. Group 1: DISCBLCK, DISCHISP, DISCASIAN, DISCWHT, DISCMUSL, DISCTIAN; Group 2: DISCGAY, DISCWOM, DISCMEN, DISCTRANS.
Response Order	Forward/Reverse order

V202534	POST: DISCRIMINATION IN THE US AGAINST WOMEN
Question	Women
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. None at all
Variable Note	This variable has been renamed. In the preliminary release, the discrimination against women variable was V202532.
Survey Question(s)	DISCRIM_DISCWOM
Randomization	Items divided into two groups to display in two grids. Order of items in each grid randomized. Group 1: DISCBLCK, DISCHISP, DISCASIAN, DISCWHT, DISCMUSL, DISCTIAN; Group 2: DISCGAY, DISCWOM, DISCMEN, DISCTRANS.
Response Order	Forward/Reverse order

V202535	POST: DISCRIMINATION IN THE US AGAINST MEN
Question	Men
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. None at all
Variable Note	This variable has been renamed. In the preliminary release, the discrimination against men variable was V202533.
Survey Question(s)	DISCRIM_DISCMEN
Randomization	Items divided into two groups to display in two grids. Order of items in each grid randomized. Group 1: DISCBLCK, DISCHISP, DISCASIAN, DISCWHT, DISCMUSL, DISCTIAN; Group 2: DISCGAY, DISCWOM, DISCMEN, DISCTRANS.
Response Order	Forward/Reverse order

V202536	POST: DISCRIMINATION IN THE US AGAINST TRANSGENDER PEOPLE
Question	Transgender people
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. None at all
Survey Question(s)	DISCRIM_DISCTRANS
Randomization	Items divided into two groups to display in two grids. Order of items in each grid randomized. Group 1: DISCBLCK, DISCHISP, DISCASIAN, DISCWHT, DISCMUSL, DISCTIAN; Group 2: DISCGAY, DISCWOM, DISCMEN, DISCTRANS.
Response Order	Forward/Reverse order

V202537	POST: HOW MUCH DISCRIMINATION HAS R FACED PERSONALLY BECAUSE OR RACE/ETHNICITY
Question	How much discrimination have you personally faced because of yourethnicity or race?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. None at all
Survey Question(s)	DISCRIM_DISCPERS
Response Order	Forward/Reverse order

V202538	POST: HOW MUCH DISCRIMINATION HAS R FACED BECAUSE OF GENDER
Question	How much discrimination have you personally experienced because of your sex or gender?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. A great deal 2. A lot 3. A moderate amount 4. A little 5. None at all
Survey Question(s)	DISCRIM_SELFGENDER

V202539	POST: HAS R EXPERIENCED HARRASSMENT AT WORK
Question	Have you ever personally experienced sexual harassment at work, or not?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Have 2. Have not
Survey Question(s)	DISCRIM_SEXHARASS

V202540	POST: HOW OFTEN HAS R EXPERIENCED HARRASSMENT AT WORK
Question	How often have you personally experienced sexual harassment at work?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Once 2. A few times 3. Many times
Universe	IF R EXPERIENCED SEXUAL HARASSMENT AT WORK:
Survey Question(s)	DISCRIM_SEXHARASSAMT

V202541a	POST: WHICH SOCIAL MEDIA PLATFORMS R VISITED - FACEBOOK
Question	Which social media platforms have you visited in the past year? Please tell me any that apply.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Not mentioned 1. Mentioned
Survey Question(s)	SOCMEDIA_SOCMEDTYPE

V202541b	POST: WHICH SOCIAL MEDIA PLATFORMS R VISITED - TWITTER
Question	Which social media platforms have you visited in the past year? Please tell me any that apply.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Not mentioned 1. Mentioned
Survey Question(s)	SOCMEDIA_SOCMEDTYPE

V202541c	POST: WHICH SOCIAL MEDIA PLATFORMS R VISITED - INSTAGRAM
Question	Which social media platforms have you visited in the past year? Please tell me any that apply.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Not mentioned 1. Mentioned
Survey Question(s)	SOCMEDIA_SOCMEDTYPE

V202541d	POST: WHICH SOCIAL MEDIA PLATFORMS R VISITED - REDDIT
Question	Which social media platforms have you visited in the past year? Please tell me any that apply.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Not mentioned 1. Mentioned
Survey Question(s)	SOCMEDIA_SOCMEDTYPE

V202541e	POST: WHICH SOCIAL MEDIA PLATFORMS R VISITED - YOUTUBE
Question	Which social media platforms have you visited in the past year? Please tell me any that apply.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Not mentioned 1. Mentioned
Survey Question(s)	SOCMEDIA_SOCMEDTYPE

V202541f	POST: WHICH SOCIAL MEDIA PLATFORMS R VISITED - SNAPCHAT
Question	Which social media platforms have you visited in the past year? Please tell me any that apply.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Not mentioned 1. Mentioned
Survey Question(s)	SOCMEDIA_SOCMEDTYPE

V202541g	POST: WHICH SOCIAL MEDIA PLATFORMS R VISITED - TIKTOK
Question	Which social media platforms have you visited in the past year? Please tell me any that apply.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Not mentioned 1. Mentioned
Survey Question(s)	SOCMEDIA_SOCMEDTYPE

V202541h	POST: WHICH SOCIAL MEDIA PLATFORMS R VISITED - OTHER {SPECIFY}
Question	Which social media platforms have you visited in the past year? Please tell me any that apply.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Not mentioned 1. Mentioned
Survey Question(s)	SOCMEDIA_SOCMEDTYPE

V202541i	POST: WHICH SOCIAL MEDIA PLATFORMS R VISITED - NONE OF THESE
Question	Which social media platforms have you visited in the past year? Please tell me any that apply.
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 0. Not mentioned 1. Mentioned
Survey Question(s)	SOCMEDIA_SOCMEDTYPE

V202542	POST: HOW OFTEN USE FACEBOOK
Question	How often do you use Facebook?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Many times every day 2. A few times every day 3. About once a day 4. A few times each week 5. About once a week 6. Once or twice a month 7. Less than once a month
Universe	IF R HAS VISITED FACEBOOK IN PAST YEAR:
Survey Question(s)	SOCMEDIA_FBFREQ

V202543	POST: HOW OFTEN POST POLITICAL CONTENT ON FACEBOOK
Question	When using Facebook, how often do you post information about political issues or candidates?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Always 2. Most of the time 3. About half of the time 4. Sometimes 5. Never
Universe	IF R HAS VISITED FACEBOOK IN PAST YEAR:
Survey Question(s)	SOCMEDIA_FBPOSTPOL
Response Order	Forward/Reverse order

V202544	POST: HOW OFTEN USE TWITTER
Question	How often do you use Twitter?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Many times every day 2. A few times every day 3. About once a day 4. A few times each week 5. About once a week 6. Once or twice a month 7. Less than once a month
Universe	IF R HAS VISITED TWITTER IN PAST YEAR:
Survey Question(s)	SOCMEDIA_TWITFREQ

V202545	POST: HOW OFTEN POST POLITICAL CONTENT ON TWITTER
Question	When using Twitter, how often do you post information about political issues or candidates?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Always 2. Most of the time 3. About half of the time 4. Sometimes 5. Never
Universe	IF R HAS VISITED TWITTER IN PAST YEAR:
Survey Question(s)	SOCMEDIA_TWITPOSTPOL
Response Order	Forward/Reverse order

V202546	POST: HOW OFTEN USE REDDIT
Question	How often do you use Reddit?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Many times every day 2. A few times every day 3. About once a day 4. A few times each week 5. About once a week 6. Once or twice a month 7. Less than once a month
Universe	IF R HAS VISITED REDDIT IN PAST YEAR:
Survey Question(s)	SOCMEDIA_REDFREQ

V202547	POST: HOW OFTEN POST POLITICAL CONTENT ON REDDIT
Question	When using Reddit, how often do you post information about political issues or candidates?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Always 2. Most of the time 3. About half of the time 4. Sometimes 5. Never
Universe	IF R HAS VISITED REDDIT IN PAST YEAR:
Survey Question(s)	SOCMEDIA_REDPOSTPOL
Response Order	Forward/Reverse order

V202548	POST: WHAT IS THE CURRENT UNEMPLOYMENT RATE
Question	Now we have a few questions about issues in the news recently.What was the current unemployment rate in the United States as of October 2, 2020 – 5.9%, 7.9%, 9.9%, or 11.9%?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. 4.9% 2. 6.9% (correct) 3. 8.9% 4. 10.9%
Survey Question(s)	KNOWL_EMPRATE

V202549	POST: DID RUSSIA TRY TO INTERFERE IN 2016 PRESIDENTIAL ELECTION OR NOT
Question	Which of these two statements do you think is most likely to be true?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Russia tried to interfere in the 2016 presidential election 2. Russia did not try to interfere in the 2016 presidential election
Survey Question(s)	MISINFO_INTERFERE

V202550	POST: HOW CONFIDENT IS R ABOUT THAT
Question	How confident are you about that?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Not at all 2. A little 3. Moderately 4. Very 5. Extremely
Universe	IF R THINKS RUSSIA TRIED TO INTERFERE IN 2016 ELECTION / IF R THINKS RUSSIA DID NOT TRY TO INTERFERE IN 2016 ELECTION:
Survey Question(s)	MISINFO_INTERFCONF
Response Order	Forward/Reverse order

V202551	POST: DID TRUMP ADMINISTRATION DEPORT MORE IMMIGRANTS OR DID OBAMA
Question	Whose administration deported more unauthorized immigrants during the first three years?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Donald Trump’s administration 2. Barack Obama’s administration
Survey Question(s)	MISINFO_DEPORT

V202552	POST: HOW CONFIDENT IS R ABOUT THAT
Question	How confident are you about that?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Not at all 2. A little 3. Moderately 4. Very 5. Extremely
Universe	IF R THINKS OBAMA ADMINISTRATION DEPORTED MORE / IF R THINKS TRUMP ADMINISTRATION DEPORTED MORE:
Survey Question(s)	MISINFO_DEPORTCONF
Response Order	Forward/Reverse order

V202553	POST: DOES MOST SCIENTIFIC EVIDENCE SHOW VACCINES CAUSE AUTISM OR NOT
Question	Which of these two statements do you think is most likely to be true?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Most scientific evidence shows childhood vaccines cause autism 2. Most scientific evidence shows childhood vaccines do not cause autism
Survey Question(s)	MISINFO_AUTISM

V202554	POST: HOW CONFIDENT IS R ABOUT THAT
Question	How confident are you about that?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Not at all 2. A little 3. Moderately 4. Very 5. Extremely
Universe	IF R THINKS VACCINES CAUSE AUTISM / IF R DOES NOT THINK VACCINES CAUSE AUTISM:
Survey Question(s)	MISINFO_AUTISMCONF
Response Order	Forward/Reverse order

V202555	POST: HAVE WORLD TEMPERATUERS HAVE RISEN ON AVERAGE OR LAST 100 YEARS OR NOT
Question	Which of these two statements do you think is most likely to be true?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. World temperatures have risen on average over the last 100 years 2. World temperatures have not risen on average over the last 100 years
Survey Question(s)	MISINFO_WARM

V202556	POST: HOW CONFIDENT IS R ABOUT THAT
Question	How confident are you about that?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Not at all 2. A little 3. Moderately 4. Very 5. Extremely
Universe	IF R THINKS WORLD TEMPERATURES ARE RISING IN LAST 100 YEARS / IF R DOES NOT THINK WORLD TEMPERATURES ARE RISING IN LAST 100 YEARS
Survey Question(s)	MISINFO_WARMCONF
Response Order	Forward/Reverse order

V202557	POST: WAS THE CORONAVIRUS (COVID-19) WAS DEVELOPED INTENTIONALLY IN A LAB OR NOT
Question	Which of these two statements do you think is most likely to be true?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. The novel coronavirus (COVID-19) was developed intentionally in a lab 2. The novel coronavirus (COVID-19) was not developed intentionally in a lab
Survey Question(s)	MISINFO_CVDLAB

V202558	POST: HOW CONFIDENT IS R ABOUT THAT
Question	How confident are you about that?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Not at all 2. A little 3. Moderately 4. Very 5. Extremely
Universe	IF R THINKS COVID-19 DEVELOPED INTENTIONALLY IN LAB / IF R DOES NOT THINK COVID-19 DEVELOPED INTENTIONALL IN LAB:
Survey Question(s)	MISINFO_CVDLABCONF
Response Order	Forward/Reverse order

V202559	POST: EVIDENCE THAT HYDROXYCHLOROQUINE IS EFFECTIVE TREATMENT FOR COVID-19 OR NOT
Question	Which of these two statements do you think is most likely to be true?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Scientific evidence that hydroxychloroquine is a safe and effective treatment for COVID-19 2. No scientific evidence that hydroxychloroquine is a safe and effective treatment for COVID-19
Survey Question(s)	MISINFO_CVDDRUG

V202560	POST: HOW CONFIDENT IS R ABOUT THAT
Question	How confident are you about that?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Not at all 2. A little 3. Moderately 4. Very 5. Extremely
Universe	IF R THINKS THERE IS SCIENTIFIC EVIDENCE THAT HYDROXYCHLOROQUINE IS SAFE COVID TREATMENT / IF R DOES NOT THINK THERE IS SCIENTIFIC EVIDENCE THAT HYDROXYCHLOROQUINE IS SAFE COVID TREATMENT:
Survey Question(s)	MISINFO_CVDDRUGCONF
Response Order	Forward/Reverse order

V202561	POST: LIFE EXPERIENCE: DOES R KNOW SOMEONE MOVED TO U.S. FROM ANOTHER COUNTRY
Question	Next, we have a few questions about your personal experiences. Do you personally know someone who moved to the U.S. from another country, or not?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	LIFEEXP_KNOWNIMMIG

V202562	POST: LIFE EXPERIENCE: DOES R CURRENTLY OWE MONEY ON STUDENT LOANS
Question	Do you currently owe money on student loans, or not?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	LIFEEXP_COLLDEBT

V202563	POST: LIFE EXPERIENCE: HAS R EVER RECEIVED FOOD STAMPS OR OTHER PUBLIC ASSISTANCE
Question	Have you ever received food stamps or another form of public assistance, or not?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	LIFEEXP_PUBASST

V202564	POST: LIFE EXPERIENCE: DOES R A HAVE PENSION OR RETIREMENT ACCOUNT
Question	Do you have a pension or a retirement account, such as an IRA, 401k, or similar, or not?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	LIFEEXP_RETIRE

V202565	POST: LIFE EXPERIENCE: DOES R CHOOSE PRODUCTS BECAUSE THEY ARE MADE IN AMERICA
Question	Do you regularly choose products because they are made in America, or not?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	LIFEEXP_BUYUSA

V202566	POST: LIFE EXPERIENCE: HAS R DISPLAYED AMERICAN FLAG ON HOUSE IN PAST YEAR
Question	Have you displayed an American flag on your house or in your yard in the past year, or not?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	LIFEEXP_DISPFLAG

V202567	POST: LIFE EXPERIENCE: HAS R GONE HUNTING OR FISHING IN PAST YEAR
Question	Have you gone hunting or fishing in the past year, or not?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	LIFEEXP_HUNT

V202568	POST: LIFE EXPERIENCE: HAS R USED PUBLIC TRANSPORTATION IN PAST YEAR
Question	Have you used public transportation in the past year, or not?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	LIFEEXP_PUBTRANS

V202569	POST: LIFE EXPERIENCE: HAS R EVER BEEN BITTEN BY A SHARK
Question	Have you ever been bitten by a shark, or not?
Value Labels	-9. Refused -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) 1. Yes 2. No
Survey Question(s)	LIFEEXP_SHARK

V202575	POST: GSS: HOW OFTEN DOES R PAY ATTENTION TO POLITICS AND ELECTIONS
Question	How often do you pay attention to what’s going on in government and politics?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_POLATTREVGSS
Response Order	Forward/Reverse order

V202576	POST: GSS: CSES5- Q21: SATISFACTION WITH DEMOCRATIC PROCESS
Question	On the whole, are you very satisfied, fairly satisfied, not very satisfied, or not at all satisfied with the way democracy works in the United States?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_DEMSATISGSS
Response Order	Forward/Reverse order

V202577	POST: GSS: REV HOW OFTEN TRUST GOVERNMENT IN WASHINGTON TO DO WHAT IS RIGHT
Question	How often can you trust the federal government in Washington to do what is right?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_TRUSTGREVGSS
Response Order	Forward/Reverse order

V202578	POST: GSS: DO ELECTIONS MAKE GOVERNMENT PAY ATTENTION
Question	How much do you feel that having elections makes the government pay attention to what the people think?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_ELECTCAREGSS
Response Order	Forward/Reverse order

V202579	POST: GSS: IS IT JUSTIFIED FOR PEOPLE TO USE VIOLENCE TO PURSUE POLITICAL GOALS
Question	How much do you feel it is justified for people to use violence to pursue their political goals in this country?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_JUSTIFIEDGSS

INTRO HEALTH INSURANCE ISSUE

There is much concern about the rapid rise in medical and hospital costs.
Some people feel there should be a government insurance plan which would cover all medical and hospital expenses for everyone. Suppose these people are at one end of a scale, at point 1.
Others feel that all medical expenses should be paid by individuals through private insurance plans like Blue Cross or other company paid plans. 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.

V202580	POST: GSS: 7PT SCALE GOVERMENT-PRIVATE MEDICAL INSURANCE SCALE: SELF-PLACEMENT
Question	Where would you place yourself on this scale, or haven’t you thought much about this? Click below to make your choice.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_INSSELFGSS

V202581	POST: GSS: NATIONAL ECONOMY BETTER OR WORSE IN LAST YEAR
Question	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?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_ECPASTGSS

V202582	POST: GSS: HOW MUCH NATIONAL ECONOMY BETTER OR WORSE IN LAST YEAR
Question	Much [better/worse] or somewhat [better/worse]?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE / IF R THINKS THE ECONOMY HAS GOTTEN BETTER IN THE PAST YEAR / IF R THINKS THE ECONOMY HAS GOTTEN WORSE IN THE PAST YEAR:
Survey Question(s)	GSS_ECPASTAMTGSS

V202583x	POST: GSS: SUMMARY: NATIONAL ECONOMY BETTER/WORSE IN LAST YEAR
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable

V202584	POST: GSS: ECONOMY BETTER OR WORSE IN NEXT 12 MONTHS
Question	What about the next 12 months? Do you expect the economy, in the country as a whole, to get better, stay about the same, or get worse?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_ECNEXTGSS

V202585	POST: GSS: ECONOMY HOW MUCH BETTER OR WORSE NEXT 12 MONTHS
Question	Much [better/worse] or somewhat [better/worse]?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE / IF R THINKS ECONOMY WILL BE BETTER IN NEXT 12 MONTHS / IF R THINKS ECONOMY WILL BE WORSE IN NEXT 12 MONTHS:
Survey Question(s)	GSS_ECNEXTAMTGSS

V202586x	POST: GSS: SUMMARY: ECONOMY BETTER/WORSE IN NEXT 12 MONTHS
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable

V202587	POST: GSS: R HOW MUCH BETTER OR WORSE OFF THAN ONE YEAR AGO
Question	We are interested in how people are getting along financially these days. Would you say that [you/you and your family living here] are much better off financially, somewhat better off, about the same, somewhat worse off, or much worse off than you were a year ago?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE / IF R IS NOT LIVING AT HOME WITH FAMILY MEMBERS / IF R IS LIVING AT HOME WITH 1 OR MORE FAMILY MEMBERS:
Survey Question(s)	GSS_FINRETROGSS
Response Order	Forward/Reverse order

V202588	POST: GSS: R HOW MUCH BETTER OR WORSE OFF NEXT YEAR
Question	Now looking ahead, do you think that a year from now [you/you and your family living here] will be much better off financially, somewhat better off, about the same, somewhat worse off, or much worse off than now?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE / IF R IS NOT LIVING AT HOME WITH FAMILY MEMBERS / IF R IS LIVING AT HOME WITH 1 OR MORE FAMILY MEMBERS:
Survey Question(s)	GSS_FINPROSPGSS
Response Order	Forward/Reverse order

V202589	POST: GSS: HOW WORRIED IS R ABOUT CURRENT FINANCIAL SITUATION
Question	So far as you and your family are concerned, how worried are you about your current financial situation?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_WORRYFINGSS
Response Order	Forward/Reverse order

V202590	POST: GSS: HOW IMPORTANT NEWS ORGANIZATIONS ARE FREE TO CRITICIZE POLITICAL LEADERS
Question	For the next few items, we would like to know how important you think each one is to the United States maintaining a strong democracy. First, how important is it that news organizations are free to criticize political leaders?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_DEMCRITGSS
Response Order	Forward/Reverse order

V202591	POST: GSS: HOW IMPORTANT BRANCHES OF GOVT KEEP ONE ANOTHER FROM TOO MUCH POWER
Question	How important is it that the executive, legislative, and judicial branches of government keep one another from having too much power?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_DEMBRANCHGSS
Response Order	Forward/Reverse order

V202592	POST: GSS: HOW IMPORTANT ELECTED OFFICIALS FACE SERIOUS CONSEQUENCES FOR MISCONDUCT
Question	How important is it that elected officials face serious consequences if they engage in misconduct?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_DEMCONSEQGSS
Response Order	Forward/Reverse order

V202593	POST: GSS: HOW IMPORTANT PEOPLE AGREE ON BASIC FACTS EVEN IF THEY DISAGREE POLITICALLY
Question	How important is it that people agree on basic facts even if they disagree politically?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_DEMFACTSGSS
Response Order	Forward/Reverse order

V202594	POST: GSS: HELPFUL OR HARMFUL IF PRESIDENT COULD WORK W/O CONGRESS OR COURTS
Question	Would it be helpful, harmful, or neither helpful nor harmful if U.S. presidents could work on the country’s problems without paying attention to what Congress and the courts say?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_STRPRESGSS

V202595	POST: GSS: HELPFUL OR HARMFUL IF PRESIDENT COULD WORK W/O CONGRESS OR COURTS (STRENGTH)
Question	How [helpful/harmful]?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE / IF R SAID HELPFUL / IF R SAID HARMFUL:
Survey Question(s)	GSS_STRPRESSTRGSS
Response Order	Forward/Reverse order

V202596x	POST: GSS: SUMMARY: HELPFUL/HARMFUL PRESIDENT COULD WORK W/O CONGRESS OR COURTS
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable

V202597	POST: GSS: CSES5- Q04F: ATTITUDES ABOUT ELITES: PEOPLE SHOULD MAKE POLICY DECISIONS
Question	Please tell us whether you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with the following statement: ‘The people, and not politicians, should make our most important policy decisions.’
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_PEOPLEGSS
Response Order	Forward/Reverse order

V202598	POST: GSS: CSES5- Q05C: OUT-GROUP ATTITUDES: IMMIGRANTS GOOD FOR ECONOMY
Question	And now thinking specifically about immigrants. Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with the following statement? ‘Immigrants are generally good for America’s economy.’
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_IMMECONGSS
Response Order	Forward/Reverse order

V202599	POST: GSS: CSES5- Q05C: OUT-GROUP ATTITUDES: IMMIGRANTS HARM CULTURE
Question	Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with the following statement?‘America’s culture is generally harmed by immigrants.’
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_IMMCULTGSS
Response Order	Forward/Reverse order

V202600	POST: GSS: CSES5- Q05C: OUT-GROUP ATTITUDES: IMMIGRANTS INCREASE CRIME
Question	Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with the following statement?‘Immigrants increase crime rates in the United States.’
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_IMMCRIMEGSS
Response Order	Forward/Reverse order

V202601	POST: GSS: APPROVE OR DISAPPROVE PRESIDENT HANDLING COVID-19
Question	Do you approve or disapprove of the way Donald Trump has handled the coronavirus, or COVID-19, pandemic?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_COVIDPRESGSS

V202602	POST: GSS: HOW MUCH APPROVE OR DISAPPROVE PRESIDENT HANDLING OF COVID-19
Question	Do you [approve/disapprove] strongly or not strongly?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE / IF R APPROVES PRESIDENT HANDLING OF COVID-19 / IF R DISAPPROVES PRESIDENT HANDLING OF COVID-19:
Survey Question(s)	GSS_COVIDPRESSTGSS

V202603x	POST: GSS: SUMMARY: APPROVE/DISAPPROVE PRESIDENT HANDLING OF COVID-19
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable

V202604	POST: GSS: APPROVE OR DISAPPROVE R’S GOVERNOR HANDLING OF COVID-19
Question	Do you approve or disapprove of the way [Governor of Respondent’s preloaded state] has handled the COVID-19 pandemic?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE / IF R’S STATE IS KNOWN / IF R’S STATE IS UNKNOWN:
Survey Question(s)	GSS_GOVERNORGSS

V202605	POST: GSS: HOW MUCH APPROVE OR DISAPPROVE R’S GOVERNOR HANDLING OF COVID-19
Question	Do you [approve/disapprove] strongly or not strongly?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE / IF R APPROVES GOVERNOR HANDLING OF COVID-19: IF R DISAPPROVES GOVERNOR HANDLING OF COVID-19:
Survey Question(s)	GSS_GOVERNORSTRGSS

V202606x	POST: GSS: SUMMARY: APPROVE/DISAPPROVE R’S GOVERNOR HANDLING OF COVID-19
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable

V202607	POST: GSS: APPROVE OR DISAPPROVE LOCAL GOVERNMENT HANDLING OF COVID-19
Question	Do you approve or disapprove of the way your local government, for example, municipal and county government, has handled the COVID-19 pandemic?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_LOCALGOVGSS

V202608	POST: GSS: HOW MUCH APPROVE OR DISAPPROVE LOCAL GOVERNMENT HANDLING OF COVID-19
Question	Do you [approve/disapprove] strongly or not strongly?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE / IF R APPROVES LOCAL GOVERNMENT HANDLING OF COVID-19 / IF R DISAPPROVES LOCAL GOVERNMENT HANDLING OF COVID-19:
Survey Question(s)	GSS_LOCALGOVSTRGSS

V202609x	POST: GSS: SUMMARY: APPROVE/DISAPPOVE LOCAL GOVERNMENT HANDLING OF COVID-19
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable

V202610	POST: GSS: FEDERAL GOVERNMENT RESPONSE TO COVID-19 TOO QUICK OR TOO SLOW
Question	Do you think the federal government’s response to the COVID-19 outbreak earlier this year was too quick, too slow, or about right?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_FEDRESPGSS

V202611	POST: GSS: FEDERAL GOVERNMENT RESPONSE TO COVID-19 TOO QUICK OR TOO SLOW (STRENGTH)
Question	Do you think it was much too [quick/slow] or somewhat too [quick/slow]?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE / IF R THINKS RESPONSE WAS TOO QUICK / IF R THINKS RESPONSE WAS TOO SLOW:
Survey Question(s)	GSS_FEDRESPSTRGSS
Response Order	Forward/Reverse order

V202612x	POST: GSS: SUMMARY: FEDERAL GOVERNMENT RESPONSE TO COVID-19 TOO QUICK/TOO SLOW
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable

V202613	POST: GSS: LIMITS ON PUBLIC ACTIVITY DUE TO COVID-19 TOO STRICT OR NOT STRICT ENOUGH
Question	Do you think the limits your state placed on public activity because of the COVID-19 pandemic were far too strict, somewhat too strict, about right, not quite strict enough, or not nearly strict enough?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_LIMITSGSS
Response Order	Forward/Reverse order

V202614	POST: GSS: STATE MOVED TO RE-OPEN TOO QUICKLY OR TOO SLOWLY
Question	Do you think your state has moved too quickly, too slowly, or the right speed in relaxing “stay at home” orders and re-opening businesses?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_REOPENGSS

V202615	POST: GSS: STATE MOVED TO RE-OPEN TOO QUICKLY OR TOO SLOWLY (STRENGTH)
Question	Do you think it was much too [quickly/slowly] or somewhat too [quickly/slowly]?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE / IF R THINKS TOO QUICKLY / IF R THINKS TOO SLOWLY:
Survey Question(s)	GSS_REOPENSTRGSS

V202616x	POST: GSS: SUMMARY: STATE MOVED TO RE-OPEN TOO QUICKLY/TOO SLOWLY
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable

V202617	POST: GSS: INCOME GAP TODAY MORE OR LESS THAN 20 YEARS AGO
Question	Do you think the difference in incomes between rich people and poor people in the United States today is larger, smaller, or about the same as it was 20 years ago?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_INCGAPGSS

V202618	POST: GSS: HOW MUCH LARGER IS INCOME GAP TODAY
Question	Would you say the difference in incomes is much larger or somewhat larger?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE / IF INCOME GAP TODAY IS LARGER THAN IT WAS 20 YEARS AGO:
Survey Question(s)	GSS_GAPMOREGSS

V202619	POST: GSS: HOW MUCH SMALLER IS INCOME GAP TODAY
Question	Would you say the difference in incomes is much smaller or somewhat smaller?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE / IF INCOME GAP TODAY IS SMALLER THAN IT WAS 20 YEARS AGO:
Survey Question(s)	GSS_GAPLESSGSS

V202620x	POST: GSS: SUMMARY: INCOME GAP LARGER/SMALLER THAN 20 YEARS AGO
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable

V202621	POST: GSS: WHAT IS THE BEST WAY TO DEAL WITH URBAN UNREST AND RIOTING
Question	What is the best way to deal with the problem of urban unrest and rioting? Some say it is more important to use all available force to maintain law and order, no matter what results. Others say it is more important to correct the problems of racism and police violence that give rise to the disturbances. And, of course, other people have opinions in between. Where would you place yourself on this scale, or haven’t you thought much about this? Click below to make your choice.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_UNRESTGSS

V202622	POST: GSS: SPENDING TOO MUCH OR TOO LITTLE ON SPACE PROGRAM
Question	We are faced with many problems in this country, none of which can be solved easily or inexpensively. We are going to name some of these problems, and for each one we’d like you to say whether you think we’re spending too much money on it, too little money, or about the right amount. First the space program. Are we spending too much, too little, or about the right amount on the space program?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_NATSPAC

V202623	POST: GSS: SPENDING TOO MUCH OR TOO LITTLE ON ENVIRONMENT
Question	The environment. Are we spending too much, too little, or about the right amount on the environment?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_NATENVIR

V202624	POST: GSS: SPENDING TOO MUCH OR TOO LITTLE ON HEALTH
Question	Health. Are we spending too much, too little, or about the right amount on health?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_NATHEAL

V202625	POST: GSS: SPENDING TOO MUCH OR TOO LITTLE ON CITIES
Question	Cities. Are we spending too much, too little, or about the right amount on cities?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_NATCITY

V202626	POST: GSS: SPENDING TOO MUCH OR TOO LITTLE ON CRIME
Question	Crime control. Are we spending too much, too little, or about the right amount on crime control?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_NATCRIME

V202627	POST: GSS: SPENDING TOO MUCH OR TOO LITTLE ON DRUG ABUSE
Question	Drug abuse. Are we spending too much, too little, or about the right amount on drug abuse?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_NATDRUG

V202628	POST: GSS: SPENDING TOO MUCH OR TOO LITTLE ON EDUCATION
Question	Education. Are we spending too much, too little, or about the right amount on education?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_NATEDUC

V202629	POST: GSS: IN PAST SEVEN DAYS HAS R BEEN BOTHERED BY EMOTIONAL PROBLEMS
Question	In the past seven days, how often have you been bothered by emotional problems such as feeling anxious, depressed or irritable?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_EMOPROBS

V202630	POST: GSS: TAKEN ALL TOGETHER HOW HAPPY IS R THESE DAYS
Question	Taken all together, how would you say things are these days – would you say that you are very happy, pretty happy, or not too happy?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_HAPPY

V202631	POST: GSS: DOES R FEEL CONNECTED TO THE WORLD AROUND THEM
Question	Some people say they have experiences of being personally moved, touched, or inspired, while others say they do not have these experiences at all. How often, if at all, do you experience the following? Felt particularly connected to the world around you.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_SPRTCONNCT

V202632	POST: GSS: DOES R FEEL PART OF SOMETHING MUCH LARGER THAN THEMSELVES
Question	How often, if at all, do you experience the following? Felt like you were part of something much larger than yourself.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_SPRTLRGR

V202633	POST: GSS: DOES R FEEL A SENSE OF LARGER MEANING OR PURPOSE IN LIFE
Question	How often, if at all, do you experience the following? Felt a sense of a larger meaning or purpose in life.
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_SPRTPURP

V202634	POST: GSS: HOW CONFIDENT IS R IN MEDICAL INSTITUTIONS
Question	We are going to name some institutions in this country. As far as the people running these institutions are concerned, would you say you have a great deal of confidence, only some confidence, or hardly any confidence at all in them? Medicine
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_CONMEDIC

V202635	POST: GSS: HOW CONFIDENT IS R IN SCIENTIFIC COMMUNITY
Question	As far as the people running these institutions are concerned, would you say you have a great deal of confidence, only some confidence, or hardly any confidence at all in them? Scientific community
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF R IS IN GSS SAMPLE:
Survey Question(s)	GSS_CONSCI

V202636a	POST: IWR OBS: OTHERS PRESENT AT TIME OF IW - NOBODY OTHER THAN RESPONDENT
Question	Others present at time of interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_OTHPRES
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202636b	POST: IWR OBS: OTHERS PRESENT AT TIME OF IW - CHILDREN UNDER 6
Question	Others present at time of interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_OTHPRES
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202636c	POST: IWR OBS: OTHERS PRESENT AT TIME OF IW - OLDER CHILDREN
Question	Others present at time of interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_OTHPRES
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202636d	POST: IWR OBS: OTHERS PRESENT AT TIME OF IW - UNKNOWN PERSON
Question	Others present at time of interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_OTHPRES
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202636e	POST: IWR OBS: OTHERS PRESENT AT TIME OF IW - OTHER RELATIVES
Question	Others present at time of interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_OTHPRES
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202636f	POST: IWR OBS: OTHERS PRESENT AT TIME OF IW - OTHER ADULTS
Question	Others present at time of interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_OTHPRES
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202636g	POST: IWR OBS: OTHERS PRESENT AT TIME OF IW - SPOUSE
Question	Others present at time of interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_OTHPRES
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202637	POST: IWR OBS: RESPONDENT’S GENDER
Question	Is R male or female?
Value Labels	-8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Male 2. Female
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_GENDER

V202638	POST: IWR OBS: RESPONDENT’S ESTIMATED AGE
Question	What would you estimate R’s age to be?
Value Labels	-8. Don’t know -7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_ESTAGE
Interviewer Instruction	{CODE 97 FOR 97 OR OLDER.}

V202639	POST: IWR OBS: RESPONDENT’S COOPERATION
Question	R’s cooperation was:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Very good 2. Good 3. Fair 4. Poor
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_COOP

V202640	POST: IWR OBS: RESPONDENT’S LEVEL OF INFORMATION
Question	R’s general level of information about politics and public affairs seemed:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Very high 2. Fairly high 3. Average 4. Fairly low 5. Very low
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_LEVINF

V202641	POST: IWR OBS: RESPONDENT’S INTELLIGENCE
Question	R’s apparent intelligence:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Very high 2. Fairly high 3. Average 4. Fairly low 5. Very low
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_INTELL

V202642	POST: IWR OBS: RESPONDENT SEEMED SUSPICIOUS
Question	How suspicious did R seem to be about the study before the interview?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Not at all suspicious 2. Somewhat suspicious 3. Very suspicious
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_SUSPIC

V202643	POST: IWR OBS: RESPONDENT’S INTEREST IN INTERVIEW
Question	Overall, how great was R’s interest in the interview?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Very high 2. Fairly high 3. Average 4. Fairly low 5. Very low
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_INTIW

V202644	POST: IWR OBS: RESPONDENT’S HONESTY
Question	How honest did R seem to be in his or her answers?
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 1. Completely honest 2. Usually honest 3. Often seemed to be dishonest
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_HONEST

V202645a	POST: IWR OBS: R REACTIONS TO INTERVIEW - NEGATIVE (GENERAL)
Question	R’s reaction to interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_REACT
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202645b	POST: IWR OBS: R REACTIONS TO INTERVIEW - NEGATIVE (TOO LONG)
Question	R’s reaction to interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_REACT
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202645c	POST: IWR OBS: R REACTIONS TO INTERVIEW - NEGATIVE (TOO COMPLICATED)
Question	R’s reaction to interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_REACT
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202645d	POST: IWR OBS: R REACTIONS TO INTERVIEW - NEGATIVE (BORING/TEDIOUS/REPETITIOUS)
Question	R’s reaction to interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_REACT
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202645e	POST: IWR OBS: R REACTIONS TO INTERVIEW - R WANTED TO STOP BEFORE INTERVIEW COMPLETE
Question	R’s reaction to interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_REACT
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202645f	POST: IWR OBS: R REACTIONS TO INTERVIEW - R WAS ILL/DEEAF/TIRED/HAD BAD EYESIGHT
Question	R’s reaction to interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_REACT
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202645g	POST: IWR OBS: R REACTIONS TO INTERVIEW - R EXPRESSED LACK OF KNOWLEDGE
Question	R’s reaction to interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_REACT
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202645h	POST: IWR OBS: R REACTIONS TO INTERVIEW - R STRESSED/AGITATED BY INTERVIEW PROCESS
Question	R’s reaction to interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_REACT
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202645i	POST: IWR OBS: R REACTIONS TO INTERVIEW - R BECAME ANGRY AT INTERVIEW CONTENT
Question	R’s reaction to interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_REACT
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202645j	POST: IWR OBS: R REACTIONS TO INTERVIEW - R CONCERNED WITH SAMPLING PURPOSE/BIAS
Question	R’s reaction to interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_REACT
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202645k	POST: IWR OBS: R REACTIONS TO INTERVIEW - R COULD NOT READ RESPONDENT BOOKLET
Question	R’s reaction to interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_REACT
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202645m	POST: IWR OBS: R REACTIONS TO INTERVIEW - R APPEARED TO ENJOY INTERVIEW
Question	R’s reaction to interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_REACT
Interviewer Instruction	{CHECK ALL THAT APPLY}

V202645n	POST: IWR OBS: R REACTIONS TO INTERVIEW - NEUTRAL OR NO FEEDBACK
Question	R’s reaction to interview:
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -5. Interview breakoff (sufficient partial IW) -1. Inapplicable 0. Not mentioned 1. Mentioned
Universe	IF MODE IS FTF:
Survey Question(s)	IWROBSPO_REACT
Interviewer Instruction	{CHECK ALL THAT APPLY}

SAMPLE VARIABLES

V203000

SAMPLE: SAMPLE LOCATION FIPS STATE

Value Labels

1. Alabama  2. Alaska  4. Arizona 5. Arkansas  6. California  8. Colorado 9. Connecticut  10. Delaware 11. Washington DC 12. Florida  13. Georgia   15. Hawaii 16. Idaho   17. Illinois   18. Indiana 19. Iowa   20. Kansas   21. Kentucky 22. Louisiana   23. Maine   24. Maryland 25. Massachusetts   26. Michigan   27. Minnesota 28. Mississippi   29. Missouri   30. Montana 31. Nebraska   32. Nevada   33. New Hampshire 34. New Jersey   35. New Mexico   36. New York 37. North Carolina   38. North Dakota   39. Ohio 40. Oklahoma   41. Oregon   42. Pennsylvania 44. Rhode Island   45. South Carolina   46. South Dakota 47. Tennessee   48. Texas   49. Utah 50. Vermont   51. Virginia   53. Washington 54. West Virginia   55. Wisconsin   56. Wyoming

V203001

SAMPLE: SAMPLE LOCATION STATE POSTAL ABBREVIATION

V203002

SAMPLE: SAMPLE LOCATION CONGRESSIONAL DISTRICT (117TH CONGRESS)

V203003	SAMPLE: CENSUS REGION
Value Labels	1. Northeast 2. Midwest 3. South 4. West

V203004	SAMPLE: TIME ZONE (MAJORITY OF STATE)
Value Labels	1. Eastern 2. Central 3. Mountain 4. Pacific 5. Alaska 6. Hawaii-Aleutian

V203005	SAMPLE: RESTRICTED: COUNTY FIPS CODE
Value Labels	-3. Restricted

V203006	SAMPLE: RESTRICTED: COUNTY NAME
Value Labels	-3. Restricted

V203007	SAMPLE: RESTRICTED: ZIP CODE
Value Labels	-3. Restricted

V203008	SAMPLE: RESTRICTED: CENSUS TRACT
Value Labels	-3. Restricted

ADMINISTRATIVE VARIABLES

V203050	PRE ADMIN: PRE WEB DEVICE LOGINS: PHONE
Value Labels	0. Did not log in with phone 1. Logged in with phone

V203051	PRE ADMIN: PRE WEB DEVICE LOGINS: TABLET
Value Labels	0. Did not log in with tablet 1. Logged in with tablet

V203052	PRE ADMIN: PRE WEB DEVICE LOGINS: DESKTOP/LAPTOP
Value Labels	0. Did not log in with desktop/laptop 1. Logged in with desktop/laptop

V203053

PRE ADMIN: BEGINNING DATE OF PRE IW (YYYYMMDD)

V203054

PRE ADMIN: BEGINNING TIME OF PRE IW (HHMMSS)

V203055

PRE ADMIN: ENDING DATE OF PRE IW (YYYYMMDD)

V203056

PRE ADMIN: ENDING TIME OF PRE IW (HHMMSS)

V203057	PRE ADMIN: PRE-ELECTION INTERVIEW LENGTH (MINUTES)
Value Labels	-4. Technical error
Variable Note	The interview length was calculated from the interview session and audit trail data provided by our data collection vendor. However, the source data from the vendor did not contain complete records for all interview cases, and thus the interview length could not be calculated (“-4. Technical error”) or was very short in several cases. See also ANES 2020 Time Series Study: Question-Level Timing Data.

V203059	PRE ADMIN: VISIBLE CASH EXPERIMENT IN INVITATION LETTER
Value Labels	0. Cash not visible 1. Cash visible

V203060	PRE ADMIN: SCREENER INCENTIVE AMOUNT PAID IF SCREENER R NOT SELECTED
Value Labels	-1. Inapplicable

V203061

PRE ADMIN: PRE INCENTIVE AMOUNT PAID

V203075	POST ADMIN: POST WEB DEVICE LOGINS: PHONE
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 0. Not mentioned 1. Mentioned

V203076	POST ADMIN: POST WEB DEVICE LOGINS: TABLET
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 0. Not mentioned 1. Mentioned

V203077	POST ADMIN: POST WEB DEVICE LOGINS: DESKTOP/LAPTOP
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 0. Not mentioned 1. Mentioned

V203078

POST ADMIN: BEGINNING DATE OF POST IW (YYYYMMDD)

V203079

POST ADMIN: BEGINNING TIME OF POST IW (HHMMSS)

V203080

POST ADMIN: ENDING DATE OF POST IW (YYYYMMDD)

V203081

POST ADMIN: ENDING TIME OF POST IW (HHMMSS)

V203082	POST ADMIN: POST-ELECTION INTERVIEW LENGTH (MINUTES)
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview
Variable Note	The interview length was calculated from the interview session and audit trail data provided by our data collection vendor. However, the source data from the vendor did not contain complete records for all interview cases, and thus the interview length could be very short in some cases. See also ANES 2020 Time Series Study: Question-Level Timing Data.

V203084	POST ADMIN: POST INCENTIVE AMOUNT PAID
Value Labels	-1. Inapplicable

SCREENER VARIABLES

V203100	SCREENER: NUMBER OF ADULTS IN HH [TOPCODED]
Value Labels	-1. Inapplicable 4. Four or more adults

V203101	SCREENER: NUMBER OF ELIGIBLE U.S. CITIZEN ADULTS IN HH [TOPCODED]
Value Labels	-1. Inapplicable 4. Four or more eligile adults

V203102	SCREENER: SCREENER R SELECTED FOR PRE
Value Labels	-1. Inapplicable 1. Screener R selected for Pre 2. Screener R not selected for Pre

V203150	RANDOM: ASSIGNMENT TO FORWARD OR REVERSE RESPONSE OPTIONS FOR SELECTED QUESTIONS
Value Labels	1. Forward 2. Reverse

RANDOMIZATION VARIABLES

V203151	RANDOM: ORDER OF MAJOR PARTY NAMES IN VOTE SECTIONS
Value Labels	1. Democratic party/Republican party 2. Republican party/Democratic party

V203152	RANDOM: ASSIGNMENT OF PRESVTLAST/PRESVTLASTREV
Value Labels	1. PRESVTLAST 2. PRESVTLASTREV

V203153	RANDOM: ASSIGNMENT OF DUTYCHOICE/CHOICEDUTY
Value Labels	1. DUTYCHOICE 2. CHOICEDUTY

V203154	RANDOM: RPTYID PARTY ORDER - DEMOCRATIC/REPUBLICAN OR REPUBLICAN/DEMOCRATIC
Value Labels	1. Democratic party/Republican party 2. Republican party/Democratic party

V203155	RANDOM: SPLITTICKET PARTY ORDER - DEMOCRATIC/REPUBLICAN OR REPUBLICAN/DEMOCRATIC
Value Labels	1. Democratic party/Republican party 2. Republican party/Democratic party

V203156	RANDOM: ABORTPRE CANDIDATE ORDER - DEMOCRAT/REPUBLICAN OR REPUBLICAN/DEMOCRAT
Value Labels	1. Democrat candidate/Republican candidate 2. Republican candidate/Democratic candidate

V203157	RANDOM: AIDBPR CANDIDATE ORDER - DEMOCRAT/REPUBLICAN OR REPUBLICAN/DEMOCRAT
Value Labels	1. Democrat candidate/Republican candidate 2. Republican candidate/Democratic candidate

V203158	RANDOM: CTRAIT CANDIDATE ORDER - DEMOCRAT/REPUBLICAN OR REPUBLICAN/DEMOCRAT
Value Labels	1. Democrat candidate/Republican candidate 2. Republican candidate/Democratic candidate

V203159	RANDOM: CLIKE CANDIDATE ORDER - DEMOCRAT/REPUBLICAN OR REPUBLICAN/DEMOCRAT
Value Labels	1. Democrat candidate/Republican candidate 2. Republican candidate/Democratic candidate

V203160	RANDOM: PTYLIK PARTY ORDER - DEMOCRATIC/REPUBLICAN OR REPUBLICAN/DEMOCRATIC
Value Labels	1. Democratic party/Republican party 2. Republican party/Democratic party

V203161	RANDOM: DEFSPPR CANDIDATE ORDER - DEMOCRAT/REPUBLICAN OR REPUBLICAN/DEMOCRAT
Value Labels	1. Democrat candidate/Republican candidate 2. Republican candidate/Democratic candidate

V203162	RANDOM: CTRAIT ITEM ORDER - FIRST
Value Labels	1. PCCARE 2. PCHONST 3. PCKNOW 4. PCLEAD

V203163	RANDOM: CTRAIT ITEM ORDER - SECOND
Value Labels	1. PCCARE 2. PCHONST 3. PCKNOW 4. PCLEAD

V203164	RANDOM: CTRAIT ITEM ORDER - THIRD
Value Labels	1. PCCARE 2. PCHONST 3. PCKNOW 4. PCLEAD

V203165	RANDOM: CTRAIT ITEM ORDER - FOURTH
Value Labels	1. PCCARE 2. PCHONST 3. PCKNOW 4. PCLEAD

V203166	RANDOM: EMOTION ITEM ORDER - FIRST
Value Labels	1. EMOTHOPE 2. EMOTAFRAID 3. EMOTRAGE 4. EMOTANGRY 5. EMOTHAPPY 6. EMOTWORRY 7. EMOTPROUD 8. EMOTIRRIT 9. EMOTNERV

V203167	RANDOM: EMOTION ITEM ORDER - SECOND
Value Labels	1. EMOTHOPE 2. EMOTAFRAID 3. EMOTRAGE 4. EMOTANGRY 5. EMOTHAPPY 6. EMOTWORRY 7. EMOTPROUD 8. EMOTIRRIT 9. EMOTNERV

V203168	RANDOM: EMOTION ITEM ORDER - THIRD
Value Labels	1. EMOTHOPE 2. EMOTAFRAID 3. EMOTRAGE 4. EMOTANGRY 5. EMOTHAPPY 6. EMOTWORRY 7. EMOTPROUD 8. EMOTIRRIT 9. EMOTNERV

V203169	RANDOM: EMOTION ITEM ORDER - FOURTH
Value Labels	1. EMOTHOPE 2. EMOTAFRAID 3. EMOTRAGE 4. EMOTANGRY 5. EMOTHAPPY 6. EMOTWORRY 7. EMOTPROUD 8. EMOTIRRIT 9. EMOTNERV

V203170	RANDOM: EMOTION ITEM ORDER - FIFTH
Value Labels	1. EMOTHOPE 2. EMOTAFRAID 3. EMOTRAGE 4. EMOTANGRY 5. EMOTHAPPY 6. EMOTWORRY 7. EMOTPROUD 8. EMOTIRRIT 9. EMOTNERV

V203171	RANDOM: EMOTION ITEM ORDER - SIXTH
Value Labels	1. EMOTHOPE 2. EMOTAFRAID 3. EMOTRAGE 4. EMOTANGRY 5. EMOTHAPPY 6. EMOTWORRY 7. EMOTPROUD 8. EMOTIRRIT 9. EMOTNERV

V203172	RANDOM: EMOTION ITEM ORDER - SEVENTH
Value Labels	1. EMOTHOPE 2. EMOTAFRAID 3. EMOTRAGE 4. EMOTANGRY 5. EMOTHAPPY 6. EMOTWORRY 7. EMOTPROUD 8. EMOTIRRIT 9. EMOTNERV

V203173	RANDOM: EMOTION ITEM ORDER - EIGHTH
Value Labels	1. EMOTHOPE 2. EMOTAFRAID 3. EMOTRAGE 4. EMOTANGRY 5. EMOTHAPPY 6. EMOTWORRY 7. EMOTPROUD 8. EMOTIRRIT 9. EMOTNERV

V203174	RANDOM: EMOTION ITEM ORDER - NINETH
Value Labels	1. EMOTHOPE 2. EMOTAFRAID 3. EMOTRAGE 4. EMOTANGRY 5. EMOTHAPPY 6. EMOTWORRY 7. EMOTPROUD 8. EMOTIRRIT 9. EMOTNERV

V203175	RANDOM: ENVBUS CANDIDATE ORDER - DEMOCRAT/REPUBLICAN OR REPUBLICAN/DEMOCRAT
Value Labels	1. Democrat candidate/Republican candidate 2. Republican candidate/Democratic candidate

V203176	RANDOM: FEDSPEND ITEM ORDER - FIRST
Value Labels	1. FSSS 2. FSPUBS 3. FSBRDR 4. FSCRM 5. FSWELF 6. FSHIGH 7. FSPR 8. FSENV

V203177	RANDOM: FEDSPEND ITEM ORDER - SECOND
Value Labels	1. FSSS 2. FSPUBS 3. FSBRDR 4. FSCRM 5. FSWELF 6. FSHIGH 7. FSPR 8. FSENV

V203178	RANDOM: FEDSPEND ITEM ORDER - THIRD
Value Labels	1. FSSS 2. FSPUBS 3. FSBRDR 4. FSCRM 5. FSWELF 6. FSHIGH 7. FSPR 8. FSENV

V203179	RANDOM: FEDSPEND ITEM ORDER - FOURTH
Value Labels	1. FSSS 2. FSPUBS 3. FSBRDR 4. FSCRM 5. FSWELF 6. FSHIGH 7. FSPR 8. FSENV

V203180	RANDOM: FEDSPEND ITEM ORDER - FIFTH
Value Labels	1. FSSS 2. FSPUBS 3. FSBRDR 4. FSCRM 5. FSWELF 6. FSHIGH 7. FSPR 8. FSENV

V203181	RANDOM: FEDSPEND ITEM ORDER - SIXTH
Value Labels	1. FSSS 2. FSPUBS 3. FSBRDR 4. FSCRM 5. FSWELF 6. FSHIGH 7. FSPR 8. FSENV

V203182	RANDOM: FEDSPEND ITEM ORDER - SEVENTH
Value Labels	1. FSSS 2. FSPUBS 3. FSBRDR 4. FSCRM 5. FSWELF 6. FSHIGH 7. FSPR 8. FSENV

V203183	RANDOM: FEDSPEND ITEM ORDER - EIGHTH
Value Labels	1. FSSS 2. FSPUBS 3. FSBRDR 4. FSCRM 5. FSWELF 6. FSHIGH 7. FSPR 8. FSENV

V203184	RANDOM: GUARPR CANDIDATE ORDER - DEMOCRAT/REPUBLICAN OR REPUBLICAN/DEMOCRAT
Value Labels	1. Democrat candidate/Republican candidate 2. Republican candidate/Democratic candidate

V203185	RANDOM: INSPRE CANDIDATE ORDER - DEMOCRAT/REPUBLICAN OR REPUBLICAN/DEMOCRAT
Value Labels	1. Democrat candidate/Republican candidate 2. Republican candidate/Democratic candidate

V203186	RANDOM: LIBCPRE CANDIDATE ORDER - DEMOCRAT/REPUBLICAN OR REPUBLICAN/DEMOCRAT
Value Labels	1. Democrat candidate/Republican candidate 2. Republican candidate/Democratic candidate

V203187	RANDOM: LEASTSP ITEM ORDER - FIRST
Value Labels	1. Foreign aid 2. Medicare 3. National defense 4. Social Security

V203188	RANDOM: LEASTSP ITEM ORDER - SECOND
Value Labels	1. Foreign aid 2. Medicare 3. National defense 4. Social Security

V203189	RANDOM: LEASTSP ITEM ORDER - THIRD
Value Labels	1. Foreign aid 2. Medicare 3. National defense 4. Social Security

V203190	RANDOM: LEASTSP ITEM ORDER - FOURTH
Value Labels	1. Foreign aid 2. Medicare 3. National defense 4. Social Security

V203191	RANDOM: SPSRVPR CANDIDATE ORDER - DEMOCRAT/REPUBLICAN OR REPUBLICAN/DEMOCRAT
Value Labels	1. Democrat candidate/Republican candidate 2. Republican candidate/Democratic candidate

V203192	RANDOM: THERMPRE PRES CAND ORDER - DEMOCRAT/REPUBLICAN OR REPUBLICAN/DEMOCRAT
Value Labels	1. Democrat candidate/Republican candidate 2. Republican candidate/Democratic candidate

V203193	RANDOM: THERMPRE PARTY ORDER - DEMOCRATIC/REPUBLICAN OR REPUBLICAN/DEMOCRATIC
Value Labels	1. Democratic party/Republican party 2. Republican party/Democratic party

V203194	RANDOM: THERMPRE ORDER DEM VP CAND, REP VP CANDID, PREVIOUS PRESIDENT - FIRST
Value Labels	1. THDVPC 2. THRVPC 3. THPREVPRES

V203195	RANDOM: THERMPRE ORDER DEM VP CAND, REP VP CANDID, PREVIOUS PRESIDENT - SECOND
Value Labels	1. THDVPC 2. THRVPC 3. THPREVPRES

V203196	RANDOM: THERMPRE ORDER DEM VP CAND, REP VP CANDID, PREVIOUS PRESIDENT - THIRD
Value Labels	1. THDVPC 2. THRVPC 3. THPREVPRES

V203197	RANDOM: RADPROGS RESPONSE OPTION ORDER - FIRST
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203198	RANDOM: RADPROGS RESPONSE OPTION ORDER - SECOND
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203199	RANDOM: RADPROGS RESPONSE OPTION ORDER - THIRD
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203200	RANDOM: RADPROGS RESPONSE OPTION ORDER - FOURTH
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203201	RANDOM: RADPROGS RESPONSE OPTION ORDER - FIFTH
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203202	RANDOM: RADPROGS RESPONSE OPTION ORDER - SIXTH
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203203	RANDOM: RADPROGS RESPONSE OPTION ORDER - SEVENTH
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203204	RANDOM: RADPROGS RESPONSE OPTION ORDER - EIGHTH
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203205	RANDOM: RADPROGS RESPONSE OPTION ORDER - NINETH
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203206	RANDOM: RADPROGS RESPONSE OPTION ORDER - TENTH
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203207	RANDOM: RADPROGS RESPONSE OPTION ORDER - ELEVENTH
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203208	RANDOM: RADPROGS RESPONSE OPTION ORDER - TWELFTH
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203209	RANDOM: RADPROGS RESPONSE OPTION ORDER - THIRTEENTH
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203210	RANDOM: RADPROGS RESPONSE OPTION ORDER - FOURTEENTH
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203211	RANDOM: RADPROGS RESPONSE OPTION ORDER - FIFTEENTH
Value Labels	-1. Inapplicable 1. Rush Limbaugh 2. The Sean Hannity Show 3. Marketplace (NPR) 4. All Things Considered (NPR) 5. The Dave Ramsey Show 6. Morning Edition (NPR) 7. The Mark Levin Show 8. The Glenn Beck Program 9. The Mike Gallagher Show 10. The Hugh Hewitt Show 11. The Savage Nation (Michael Savage) 12. The Dana Show 13. The Thom Hartmann Program 14. The Jim Bohannon Show 15. Fresh Air (NPR)

V203212

RANDOM: WEBSITES RESPONSE OPTION ORDER - FIRST

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203213

RANDOM: WEBSITES RESPONSE OPTION ORDER - SECOND

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203214

RANDOM: WEBSITES RESPONSE OPTION ORDER - THIRD

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203215

RANDOM: WEBSITES RESPONSE OPTION ORDER - FOURTH

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203216

RANDOM: WEBSITES RESPONSE OPTION ORDER - FIFTH

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203217

RANDOM: WEBSITES RESPONSE OPTION ORDER - SIXTH

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203218

RANDOM: WEBSITES RESPONSE OPTION ORDER - SEVENTH

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203219

RANDOM: WEBSITES RESPONSE OPTION ORDER - EIGHTH

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203220

RANDOM: WEBSITES RESPONSE OPTION ORDER - NINETH

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203221

RANDOM: WEBSITES RESPONSE OPTION ORDER - TENTH

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203222

RANDOM: WEBSITES RESPONSE OPTION ORDER - ELEVENTH

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203223

RANDOM: WEBSITES RESPONSE OPTION ORDER - TWELFTH

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203224

RANDOM: WEBSITES RESPONSE OPTION ORDER - THIRTEENTH

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203225

RANDOM: WEBSITES RESPONSE OPTION ORDER - FOURTEENTH

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203226

RANDOM: WEBSITES RESPONSE OPTION ORDER - FIFTEENTH

Value Labels

-1. Inapplicable 1. Yahoo News (www.yahoo.com/news) 2. CNN.com 3. Huffington Post (www.huffingtonpost.com) 4. New York Times (nytimes.com) 5. Breitbart News Network (breitbart.com) 6. Fox News (www.foxnews.com) 7. Washington Post (washingtonpost.com) 8. The Guardian (theguardian.com) 9. USA Today (usatoday.com) 10. BBC News (news.bbc.co.uk) 11. NPR News (npr.org) 12. Daily Caller (dailycaller.com) 13. Bloomberg (bloomberg.com) 14. Buzzfeed (buzzfeed.com) 15. NBC News (www.nbcnews.com)

V203227

RANDOM: INET RESPONSE OPTION ORDER - FIRST

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203228

RANDOM: INET RESPONSE OPTION ORDER - SECOND

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203229

RANDOM: INET RESPONSE OPTION ORDER - THIRD

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203230

RANDOM: INET RESPONSE OPTION ORDER - FOURTH

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203231

RANDOM: INET RESPONSE OPTION ORDER - FIFTH

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203232

RANDOM: INET RESPONSE OPTION ORDER - SIXTH

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203233

RANDOM: INET RESPONSE OPTION ORDER - SEVENTH

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203234

RANDOM: INET RESPONSE OPTION ORDER - EIGHTH

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203235

RANDOM: INET RESPONSE OPTION ORDER - NINETH

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203236

RANDOM: INET RESPONSE OPTION ORDER - TENTH

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203237

RANDOM: INET RESPONSE OPTION ORDER - ELEVENTH

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203238

RANDOM: INET RESPONSE OPTION ORDER - TWELFTH

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203239

RANDOM: INET RESPONSE OPTION ORDER - THIRTEENTH

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203240

RANDOM: INET RESPONSE OPTION ORDER - FOURTEENTH

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203241

RANDOM: INET RESPONSE OPTION ORDER - FIFTEENTH

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203242

RANDOM: INET RESPONSE OPTION ORDER - SIXTEENTH

Value Labels

-1. Inapplicable 1. www.nytimes.com (New York Times) 2. www.usatoday.com (USA Today) 3. online.wsj.com (Wall Street Journal) 4. www.washingtonpost.com (Washington Post) 5. online newspaper - 1st 6. online newspaper - 2nd 7. online newspaper - 3rd 8. online newspaper - 4th 9. online newspaper - 5th 10. online newspaper - 6th 11. online newspaper - 7th 12. online newspaper - 8th 13. online newspaper - 9th 14. online newspaper - 10th 15. online newspaper - 11th 16. online newspaper - 12th

V203243

RANDOM: PRINT RESPONSE OPTION ORDER - FIRST

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203244

RANDOM: PRINT RESPONSE OPTION ORDER - SECOND

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203245

RANDOM: PRINT RESPONSE OPTION ORDER - THIRD

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203246

RANDOM: PRINT RESPONSE OPTION ORDER - FOURTH

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203247

RANDOM: PRINT RESPONSE OPTION ORDER - FIFTH

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203248

RANDOM: PRINT RESPONSE OPTION ORDER - SIXTH

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203249

RANDOM: PRINT RESPONSE OPTION ORDER - SEVENTH

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203250

RANDOM: PRINT RESPONSE OPTION ORDER - EIGHTH

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203251

RANDOM: PRINT RESPONSE OPTION ORDER - NINETH

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203252

RANDOM: PRINT RESPONSE OPTION ORDER - TENTH

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203253

RANDOM: PRINT RESPONSE OPTION ORDER - ELEVENTH

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203254

RANDOM: PRINT RESPONSE OPTION ORDER - TWELFTH

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203255

RANDOM: PRINT RESPONSE OPTION ORDER - THIRTEENTH

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203256

RANDOM: PRINT RESPONSE OPTION ORDER - FOURTEENTH

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203257

RANDOM: PRINT RESPONSE OPTION ORDER - FIFTEENTH

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203258

RANDOM: PRINT RESPONSE OPTION ORDER - SIXTEENTH

Value Labels

-1. Inapplicable 1. The New York Times 2. USA Today 3. The Wall Street Journal 4. The Washington Post 5. print newspaper - 1st 6. print newspaper - 2nd 7. print newspaper - 3rd 8. print newspaper - 4th 9. print newspaper - 5th 10. print newspaper - 6th 11. print newspaper - 7th 12. print newspaper - 8th 13. print newspaper - 9th 14. print newspaper - 10th 15. print newspaper - 11th 16. print newspaper - 12th

V203259	RANDOM: SPEEDING INTERVENTION - SPEEDSET GROUPS
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Group one 2. Group two 3. Group three 4. Group four 5. Group five 6. Group six 7. Group seven 8. Group eight 9. Group nine

V203260	RANDOM: SPEEDING INTERVENTION - SPEED GROUPS
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Group one 2. Group two 3. Group three 4. Group four 5. Group five 6. Group six 7. Group seven 8. Group eight 9. Group nine

V203261	RANDOM: ASSIGNMENT OF PTYMOB/PTYMOBREV
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. PTYMOB 2. PTYMOBREV

V203262	RANDOM: MIP PARTY ORDER - DEMOCRATIC/REPUBLICAN OR REPUBLICAN/DEMOCRATIC
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Democratic party/Republican party 2. Republican party/Democratic party

V203263	RANDOM: ASSIGNMENT OF THGRASIAN/THGRASIANREV
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRASIAN 2. THGRASIANREV

V203264	RANDOM: ASSIGNMENT OF HWKHISP/HWKHISPREV
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. HWKHISP 2. HWKHISPREV

V203265	RANDOM: ASSIGNMENT OF HWKASIAN/HWKASIANREV
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. HWKASIAN 2. HWKASIANREV

V203266	RANDOM: ASSIGNMENT OF VIOLHISP/VIOLHISPREV
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. VIOLHISP 2. VIOLHISPREV

V203267	RANDOM: ASSIGNMENT OF VIOLASIAN/VIOLASIANREV
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. VIOLASIAN 2. VIOLASIANREV

V203268	RANDOM: ORDER OF CAMPFIN ITEMS
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. DONATE, SPENDLIM, ORG, DIRECT 2. DONATE, SPENDLIM, DIRECT, ORG 3. DONATE, ORG, DIRECT, SPENDLIM 4. DONATE, DIRECT, ORG, SPENDLIM 5. SPENDLIM, ORG, DIRECT, DONATE 6. SPENDLIM, DIRECT, ORG, DONATE 7. ORG, DIRECT, SPENDLIM, DONATE 8. DIRECT, ORG, SPENDLIM, DONATE

V203269	RANDOM: ORDER OF DISCRIM ITEMS (GROUP 1) - FIRST
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. DISCBLCK 2. DISCHISP 3. DISCASIAN 4. DISCWHT 5. DISCMUSL 6. DISCXTIAN

V203270	RANDOM: ORDER OF DISCRIM ITEMS (GROUP 1) - SECOND
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. DISCBLCK 2. DISCHISP 3. DISCASIAN 4. DISCWHT 5. DISCMUSL 6. DISCXTIAN

V203271	RANDOM: ORDER OF DISCRIM ITEMS (GROUP 1) - THIRD
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. DISCBLCK 2. DISCHISP 3. DISCASIAN 4. DISCWHT 5. DISCMUSL 6. DISCXTIAN

V203272	RANDOM: ORDER OF DISCRIM ITEMS (GROUP 1) - FOURTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. DISCBLCK 2. DISCHISP 3. DISCASIAN 4. DISCWHT 5. DISCMUSL 6. DISCXTIAN

V203273	RANDOM: ORDER OF DISCRIM ITEMS (GROUP 1) - FIFTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. DISCBLCK 2. DISCHISP 3. DISCASIAN 4. DISCWHT 5. DISCMUSL 6. DISCXTIAN

V203274	RANDOM: ORDER OF DISCRIM ITEMS (GROUP 1) - SIXTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. DISCBLCK 2. DISCHISP 3. DISCASIAN 4. DISCWHT 5. DISCMUSL 6. DISCXTIAN

V203275	RANDOM: ORDER OF DISCRIM ITEMS (GROUP 2) - FIRST
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. DISCGAY 2. DISCWOM 3. DISCMEN 4. DISCTRANS

V203276	RANDOM: ORDER OF DISCRIM ITEMS (GROUP 2) - SECOND
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. DISCGAY 2. DISCWOM 3. DISCMEN 4. DISCTRANS

V203277	RANDOM: ORDER OF DISCRIM ITEMS (GROUP 2) - THIRD
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. DISCGAY 2. DISCWOM 3. DISCMEN 4. DISCTRANS

V203278	RANDOM: ORDER OF DISCRIM ITEMS (GROUP 2) - FOURTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. DISCGAY 2. DISCWOM 3. DISCMEN 4. DISCTRANS

V203279	RANDOM: ORDER OF FRGNTHRT ITEMS - FIRST
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. CHINA 2. RUSSIA 3. MEXICO 4. IRAN 5. JAPAN 6. GERMANY

V203280	RANDOM: ORDER OF FRGNTHRT ITEMS - SECOND
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. CHINA 2. RUSSIA 3. MEXICO 4. IRAN 5. JAPAN 6. GERMANY

V203281	RANDOM: ORDER OF FRGNTHRT ITEMS - THIRD
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. CHINA 2. RUSSIA 3. MEXICO 4. IRAN 5. JAPAN 6. GERMANY

V203282	RANDOM: ORDER OF FRGNTHRT ITEMS - FOURTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. CHINA 2. RUSSIA 3. MEXICO 4. IRAN 5. JAPAN 6. GERMANY

V203283	RANDOM: ORDER OF FRGNTHRT ITEMS - FIFTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. CHINA 2. RUSSIA 3. MEXICO 4. IRAN 5. JAPAN 6. GERMANY

V203284	RANDOM: ORDER OF FRGNTHRT ITEMS - SIXTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. CHINA 2. RUSSIA 3. MEXICO 4. IRAN 5. JAPAN 6. GERMANY

V203285	RANDOM: ORDER OF STYPEPO_HWK ITEMS (AFTER HWKWHITE) - FIRST
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. HWKBLACK 2. HWKHISP/HWKHISPREV 3. HWKASIAN/HWKASIANREV

V203286	RANDOM: ORDER OF STYPEPO_HWK ITEMS (AFTER HWKWHITE) - SECOND
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. HWKBLACK 2. HWKHISP/HWKHISPREV 3. HWKASIAN/HWKASIANREV

V203287	RANDOM: ORDER OF STYPEPO_HWK ITEMS (AFTER HWKWHITE) - THIRD
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. HWKBLACK 2. HWKHISP/HWKHISPREV 3. HWKASIAN/HWKASIANREV

V203288	RANDOM: ORDER OF STYPEPO_VIOL ITEMS (AFTER VIOLWHITE) - FIRST
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. VIOLBLACK 2. VIOLHISP/VIOLHISPREV 3. VIOLASIAN/VIOLASIANREV

V203289	RANDOM: ORDER OF STYPEPO_VIOL ITEMS (AFTER VIOLWHITE) - SECOND
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. VIOLBLACK 2. VIOLHISP/VIOLHISPREV 3. VIOLASIAN/VIOLASIANREV

V203290	RANDOM: ORDER OF STYPEPO_VIOL ITEMS (AFTER VIOLWHITE) - THIRD
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. VIOLBLACK 2. VIOLHISP/VIOLHISPREV 3. VIOLASIAN/VIOLASIANREV

V203291	RANDOM: ORDER OF THCASI ITEMS - FIRST
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRASIAN 2. THGRASIANREV 3. THGRHISP 4. THGRBLACK 5. THGRILLEG 6. THGRWHITE

V203292	RANDOM: ORDER OF THCASI ITEMS - SECOND
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRASIAN 2. THGRASIANREV 3. THGRHISP 4. THGRBLACK 5. THGRILLEG 6. THGRWHITE

V203293	RANDOM: ORDER OF THCASI ITEMS - THIRD
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRASIAN 2. THGRASIANREV 3. THGRHISP 4. THGRBLACK 5. THGRILLEG 6. THGRWHITE

V203294	RANDOM: ORDER OF THCASI ITEMS - FOURTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRASIAN 2. THGRASIANREV 3. THGRHISP 4. THGRBLACK 5. THGRILLEG 6. THGRWHITE

V203295	RANDOM: ORDER OF THCASI ITEMS - FIFTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRASIAN 2. THGRASIANREV 3. THGRHISP 4. THGRBLACK 5. THGRILLEG 6. THGRWHITE

V203296	RANDOM: ORDER OF THCASI ITEMS - SIXTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRASIAN 2. THGRASIANREV 3. THGRHISP 4. THGRBLACK 5. THGRILLEG 6. THGRWHITE

V203297	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - FIRST
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203298	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - SECOND
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203299	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - THIRD
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203300	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - FOURTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203301	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - FIFTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203302	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - SIXTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203303	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - SEVENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203304	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - EIGHTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203305	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - NINETH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203306	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - TENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203307	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - ELEVENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203308	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - TWELFTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203309	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - THIRTEENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203310	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - FOURTEENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203311	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - FIFTEENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203312	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - SIXTEENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203313	RANDOM: ORDER OF THERMGR (GROUP 1) ITEMS - SEVENTEENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THGRFUND 2. THGRFEM 3. THGRLIB 4. THGRLAB 5. THGRBIGB 6. THGRCONS 7. THGRSCT 8. THGRGAY 9. THGRCONG 10. THGRMUSL 11. THGRXTIAN 12. JEWS 13. POLICE 14. TRANS 15. SCIENT 16. BLM 17. JOURN

V203314	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - FIRST [VIDEO/PHONE]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203315	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - SECOND [VIDEO/PHONE]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203316	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - THIRD [VIDEO/PHONE]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203317	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - FOURTH [VIDEO/PHONE]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203318	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - FIFTH [VIDEO/PHONE]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203319	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - SIXTH [VIDEO/PHONE]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203320	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - SEVENTH [VIDEO/PHONE]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203321	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - EIGHTH [VIDEO/PHONE]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203322	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - NINETH [VIDEO/PHONE]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203323	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - TENTH [VIDEO/PHONE]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203324	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - ELEVENTH [VIDEO/PHONE]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203325	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - TWELFTH [VIDEO/PHONE]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203326	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - FIRST [WEB]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203327	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - SECOND [WEB]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203328	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - THIRD [WEB]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203329	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - FOURTH [WEB]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203330	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - FIFTH [WEB]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203331	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - SIXTH [WEB]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203332	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - SEVENTH [WEB]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203333	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - EIGHTH [WEB]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203334	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - NINETH [WEB]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203335	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - TENTH [WEB]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203336	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - ELEVENTH [WEB]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203337	RANDOM: ORDER OF THERMGR (GROUP 2) ITEMS - TWELFTH [WEB]
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview -1. Inapplicable 1. NATO 2. UN 3. NRA 4. SOCIAL 5. CAPITAL 6. FBI 7. ICE 8. METOO 9. RURAL 10. PLANPARENT 11. WHO 12. CDC

V203338	RANDOM: ORDER OF THERMPO PRES CAND - DEMOCRAT/REPUBLICAN OR REPUBLICAN/DEMOCRAT
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. Democrat candidate/Republican candidate 2. Republican candidate/Democratic candidate

V203339	RANDOM: ORDER OF THERMPO ITEMS - FIRST
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203340	RANDOM: ORDER OF THERMPO ITEMS - SECOND
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203341	RANDOM: ORDER OF THERMPO ITEMS - THIRD
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203342	RANDOM: ORDER OF THERMPO ITEMS - FOURTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203343	RANDOM: ORDER OF THERMPO ITEMS - FIFTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203344	RANDOM: ORDER OF THERMPO ITEMS - SIXTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203345	RANDOM: ORDER OF THERMPO ITEMS - SEVENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203346	RANDOM: ORDER OF THERMPO ITEMS - EIGHTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203347	RANDOM: ORDER OF THERMPO ITEMS - NINETH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203348	RANDOM: ORDER OF THERMPO ITEMS - TENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203349	RANDOM: ORDER OF THERMPO ITEMS - ELEVENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203350	RANDOM: ORDER OF THERMPO ITEMS - TWELFTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203351	RANDOM: ORDER OF THERMPO ITEMS - THIRTEENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203352	RANDOM: ORDER OF THERMPO ITEMS - FOURTEENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

V203353	RANDOM: ORDER OF THERMPO ITEMS - FIFTEENTH
Value Labels	-7. No post-election data, deleted due to incomplete interview -6. No post-election interview 1. THPOHDC 2. THPOHRC 3. THPOHOTH 4. THPOSDC 5. THPOSRC 6. THPOSOTH 7. THPOSSDC 8. THPOSSRC 9. THPOSSOTH 10. THPOSENSR 11. THPOSENJR 12. THPOSENNOT 13. THPODVPC 14. THPORVPC 15. THFAUCI

INTERVIEWER DESCRIPTION VARIABLES

V203400	PRE: IWR DESCR: INTERVIEWER ID
Value Labels	-1. Inapplicable

V203401	PRE: IWR DESCR: AGE
Value Labels	-2. Missing - information not provided -1. Inapplicable 1. Age 18-34 2. Age 35-50 3. Age 51-64 4. Age 65+

V203402	PRE: IWR DESCR: RACE/ETHNICITY
Value Labels	-2. Missing - information not provided -1. Inapplicable 1. White 2. Black 3. Hispanic

V203403	PRE: IWR DESCR: GENDER
Value Labels	-2. Missing - information not provided -1. Inapplicable 1. Male 2. Female

V203404	PRE: IWR DESCR: EDUCATION
Value Labels	-2. Missing - information not provided -1. Inapplicable 1. High school/GED 2. Some college, no degree 3. Associate/Bachelor’s degree 4. Graduate degree 5. Other

V203405	PRE: IWR DESCR: SPANISH SPOKEN
Value Labels	-2. Missing - information not provided -1. Inapplicable 1. Yes 2. No

V203406	PRE: IWR DESCR: NUMBER OF YEARS WORKING AT WESTAT
Value Labels	-2. Missing - information not provided -1. Inapplicable 1. 0-5 years 2. 6-10 years 3. 11 or more years

V203410	POST: IWR DESCR: INTERVIEWER ID
Value Labels	-1. Inapplicable

V203411	POST: IWR DESCR: AGE
Value Labels	-2. Missing - information not provided -1. Inapplicable 1. Age 18-34 2. Age 35-50 3. Age 51-64 4. Age 65+

V203412	POST: IWR DESCR: RACE/ETHNICITY
Value Labels	-2. Missing - information not provided -1. Inapplicable 1. White 2. Black 3. Hispanic

V203413	POST: IWR DESCR: GENDER
Value Labels	-2. Missing - information not provided -1. Inapplicable 1. Male 2. Female

V203414	POST: IWR DESCR: EDUCATION
Value Labels	-2. Missing - information not provided -1. Inapplicable 1. High school/GED 2. Some college, no degree 3. Associate/Bachelor’s degree 4. Graduate degree 5. Other

V203415	POST: IWR DESCR: SPANISH SPOKEN
Value Labels	-2. Missing - information not provided -1. Inapplicable 1. Yes 2. No

V203416	POST: IWR DESCR: NUMBER OF YEARS WORKING AT WESTAT
Value Labels	-2. Missing - information not provided -1. Inapplicable 1. 0-5 years 2. 6-10 years 3. 11 or more years

CANDIDATES AND RACES VARIABLES

V203500

CAND: TYPE OF SENATE RACE

Value Labels

-1. Inapplicable 12. Democratic incumbent - Republican challenger 13. Democratic incumbent - other challenger 14. Democratic incumbent - unopposed 19. Democratic incumbent - Republican and other challengers 21. Republican incumbent - Democratic challenger 23. Republican incumbent - other challenger 24. Republican incumbent - unopposed 29. Republican incumbent - Democratic and other challengers 51. Democratic Cand unopposed - Dem incumbent not running 52. Republican Cand unopposed - Dem incumbent not running 55. Democratic and Republican cands - Dem incumbent not running 59. Democratic and Republican and other cands - Dem incumbent not running 61. Democratic Cand unopposed - Repub incumbent not running 62. Republican Cand unopposed - Repub incumbent not running 65. Democratic and Republican cands -Repub incumbent not running 69. Democratic, Republican and other cands - Repub incumbent not running 75. Democratic and Republican cands - other incumbent not running 81. No race in state: 2 Democratic senators 82. No race in state: 2 Republican senators 83. No race in state: 1 Democratic and 1 other senator 84. No race in state: 1 Republican and 1 other senator 85. No race in state: 1 Democratic and 1 Republican senator

V203501	CAND: NAME OF SENIOR SENATOR (STATE WITHOUT SENATE RACE)
Value Labels	-1. Inapplicable

V203502	CAND: GENDER OF SENIOR SENATOR (STATE WITHOUT SENATE RACE)
Value Labels	-1. Inapplicable 1. Male 2. Female

V203503	CAND: PARTY OF SENIOR SENATOR (STATE WITHOUT SENATE RACE)
Value Labels	-1. Inapplicable 1. Democrat 2. Republican

V203504	CAND: NAME OF JUNIOR SENATOR (STATE WITHOUT SENATE RACE)
Value Labels	-1. Inapplicable

V203505	CAND: GENDER OF JUNIOR SENATOR (STATE WITHOUT SENATE RACE)
Value Labels	-1. Inapplicable 1. Male 2. Female

V203506	CAND: PARTY OF JUNIOR SENATOR (STATE WITHOUT SENATE RACE)
Value Labels	-1. Inapplicable 1. Democrat 2. Republican 3. Independent

V203508	CAND: NAME OF DEMOCRATIC SENATE CANDIDATE (STATE WITH SENATE RACE)
Value Labels	-1. Inapplicable

V203509	CAND: GENDER OF DEMOCRATIC SENATE CANDIDATE (STATE WITH SENATE RACE)
Value Labels	-1. Inapplicable 1. Male 2. Female

V203510	CAND: NAME OF REPUBLICAN SENATE CANDIDATE (STATE WITH SENATE RACE)
Value Labels	-1. Inapplicable

V203511	CAND: GENDER OF REPUBLICAN SENATE CANDIDATE (STATE WITH SENATE RACE)
Value Labels	-1. Inapplicable 1. Male 2. Female

V203512	CAND: NAME OF OTHER SENATE CANDIDATE (STATE WITH SENATE RACE)
Value Labels	-1. Inapplicable

V203513	CAND: GENDER OF OTHER SENATE CANDIDATE (STATE WITH SENATE RACE)
Value Labels	-1. Inapplicable 1. Male 2. Female

V203514	CAND: PARTY OF OTHER SENATE CANDIDATE (STATE WITH SENATE RACE)
Value Labels	-1. Inapplicable 1. Democrat 2. Republican 3. Libertarian

V203515

CAND: TYPE OF HOUSE RACE

Value Labels

-1. Inapplicable 12. Democratic incumbent running–Republican challenger 13. Democratic incumbent–other challenger 14. Democratic incumbent running–unopposed 19. Democratic incumbent running–Republican challenger and others 21. Republican incumbent running–Democratic challenger 23. Republican incumbent–other challenger 24. Republican incumbent running–unopposed 29. Republican incumbent running–Democratic challenger and others 31. Other incumbent running–Democratic challenger 32. Other incumbent running–Republican challenger 34. Other incumbent running–unopposed 35. Other incumbent running–Democratic and Republican challengers 36. Other incumbent running–Republican and other challengers 37. Other incumbent running–Democratic and other challengers 39. Other incumbent running – Democratic, Republican, other challengers 51. No incumbent Repr. running–Democratic candidate unopposed 52. No incumbent Repr. running–Republican candidate unopposed 53. No incumbent Repr. running–other candidate unopposed 55. No incumbent Repr. running–Democratic and Republican candidates 56. No incumbent Repr. running–Republican and other candidates 57. No incumbent Repr. running–Democratic and other candidates 59. No incumbent Repr. running–Democratic and Republican and other candidates

V203516	CAND: NAME OF DEMOCRATIC HOUSE CANDIDATE
Value Labels	-1. Inapplicable

V203517	CAND: GENDER OF DEMOCRATIC HOUSE CANDIDATE
Value Labels	-1. Inapplicable 1. Male 2. Female

V203518	CAND: NAME OF REPUBLICAN HOUSE CANDIDATE
Value Labels	-1. Inapplicable

V203519	CAND: GENDER OF REPUBLICAN HOUSE CANDIDATE
Value Labels	-1. Inapplicable 1. Male 2. Female

V203520	CAND: NAME OF OTHER (3RD) HOUSE CANDIDATE
Value Labels	-1. Inapplicable

V203521	CAND: GENDER OF OTHER (3RD) HOUSE CANDIDATE
Value Labels	-1. Inapplicable 1. Male 2. Female

V203522	CAND: PARTY OF OTHER (3RD) HOUSE CANDIDATE
Value Labels	-1. Inapplicable 1. Democrat 2. Republican

V203523

CAND: TYPE OF GUBERNATORIAL RACE

Value Labels

-1. Inapplicable 12. Democratic incumbent - Republican challenger 13. Democratic incumbent - other challenger 14. Democratic incumbent - unopposed 19. Democratic incumbent - Republican and other challengers 21. Republican incumbent - Democratic challenger 23. Republican incumbent - other challenger 24. Republican incumbent - unopposed 29. Republican incumbent - Democratic and other challengers 51. Democratic cand unopposed - Dem incumbent not running 52. Republican cand unopposed - Dem incumbent not running 55. Democratic and Republican cands - Dem incumbent not running 59. Democratic and Republican and other cands - Dem incumbent not running 61. Democratic cand unopposed - Repub incumbent not running 62. Republican cand unopposed - Repub incumbent not running 65. Democratic and Republican cands - Repub incumbent not running 69. Democratic, Republican and other cands - Repub incumbent not running 75. Democratic and Republican cands - other incumbent not running 81. No race in state: Democratic governor 82. No race in state: Republican governor 83. No race in state: other governor

V203524	CAND: NAME OF DEMOCRATIC GUBERNATORIAL CANDIDATE
Value Labels	-1. Inapplicable

V203525	CAND: GENDER OF DEMOCRATIC GUBERNATORIAL CANDIDATE
Value Labels	-1. Inapplicable 1. Male 2. Female

V203526	CAND: NAME OF REPUBLICAN GUBERNATORIAL CANDIDATE
Value Labels	-1. Inapplicable

V203527	CAND: GENDER OF REPUBLICAN GUBERNATORIAL CANDIDATE
Value Labels	-1. Inapplicable 1. Male 2. Female

APPENDIX A: PROGRAMMING CODE

This SPSS/Stata/R code is provided for reference to show how some of summary variables were created.

The code here was executed on the raw survey data to create the variables on the public-use ANES data file.

Occupation - V201533x & V201534x

*Occupation summary vars

gen workingnow=0
replace workingnow=1 if V201517==1 
replace workingnow=1 if (V201517==2 & V201518==1)
replace workingnow=1 if V201524==1 
replace workingnow=-2 if (V201517==-9 | V201518==-8 | V201518==-9 | ///
   V201524==-8 | V201524==-9)

*Based on spec logic: Ask if DEM_JOB30A = 1 OR ask if DEM_JOB30A = 2 ///
                      and DEMJ_JOB30B = 1 OR ask if DEM_JOB39 = 1

/*
V201517=DEM_JOB30A
V201518=DEMJ_JOB30B
V201524=DEM_JOB39
*/

  
*gen V201533x=-2
replace V201533x=10 if workingnow==1 /*working now*/
replace V201533x=15 if V201537==2 & V201527>=20 /*working now and ///
   retired, working >=20 hrs per week*/
replace V201533x=16 if V201537==3 & V201527>=20 /*working now and ///
   permanently disabled, working >=20 hrs per week*/
replace V201533x=17 if V201537==1 & V201527>=20 /*working now and ///
   homemaker, working >=20 hrs per week*/
replace V201533x=18 if V201537==4 & V201527>=20 /*working now and ///
   student, working >=20 hrs per week*/
replace V201533x=20 if V201519==1 /*last week on layoff from a job*/ 
replace V201533x=40 if workingnow==0 & V201537==5 /*have to be looking ///
   for job????*/
replace V201533x=50 if V201537==2 & workingnow==0 /*retired, ///
   no other occupation*/
replace V201533x=51 if V201537==2 & (inrange(V201527,1,19) | ///
   V201527==-8 | V201527==-9)  /*retired, working less than 20 hrs ///
      per week or DK/RF*/
replace V201533x=60 if V201537==3 & workingnow==0 /*disabled, ///
   no other occupation*/
replace V201533x=61 if V201537==3 & (inrange(V201527,1,19) | ///
   V201527==-8 | V201527==-9)  /*disabled, working less than 20 hrs ///
      per week or DK/RF*/
replace V201533x=70 if V201537==1 & workingnow==0 /*homemaker, ///
   no other occupation*/
replace V201533x=71 if V201537==1 & (inrange(V201527,1,19) | ///
   V201527==-8 | V201527==-9)  /*homemaker, working less than 20 hrs ///
      per week or DK/RF*/
replace V201533x=80 if V201537==4 & workingnow==0 /*student, ///
   no other occupation*/
replace V201533x=81 if V201537==4 & (inrange(V201527,1,19) | V201527==-8 | V201527==-9)  /*student, working less than 20 hrs per week or DK/RF*/


#delimit ;
lab def V201533x 
10 "10. Working now only"
15 "15. Working now and retired, working >=20 hours per wk"
16 "16. Working now and perm. Disabled, working >=20 hours per wk" 
17 "17. Working now and homemaker, working >=20 hours per wk"
18 "18. Working now and student, working >=20 hours per wk"
20 "20. Temporarily laid off" 
40 "40. Unemployed, no mention of retired, disabled, homemaker or student" 
50 "50. Retired, no other occupation" 
51 "51. Retired and working now, working <20 hours per wk or DK/RF hours" 
60 "60. Permanently disabled, not working" 
61 "61. Perm disabled and working now, working <20 hours per wk or DK/RF hours" 
70 "70. Homemaker, no other occupation" 
71 "71. Homemaker and working now, working <20 hours per wk or DK/RF hours" 
80 "80. Student, no other occupation" 
81 "81. Student and working now, working <20 hours per wk or DK/RF hours" 
-2 "-2. Refused/Don't know/Inapplicable", modify
;

#delimit cr

lab val V201533x V201533x
lab var V201533x "PRE SUMMARY: R occupation status 2 digit"

*1-digit summary
replace V201534x=V201533x
recode V201534x (10=1) (15/18=1)
recode V201534x (20=2)
recode V201534x (40=4)
recode V201534x (50/51=5)
recode V201534x (60/61=6)
recode V201534x (70/71=7)
recode V201534x (80/81=8)

#delimit ;
lab def V201534x
1 "1. R working now (if also retired, disabled, homemaker or student, ///
      working 20 or more hrs/wk)" 
2 "2. R temporarily laid off"
4 "4. R unemployed" 
5 "5. R retired (if also working, working <20 hrs/wk)" 
6 "6. R permanently disabled (if also working, working <20 hrs/wk)" 
7 "7. R homemaker (if also working, working <20 hrs/wk/incl nonworkg ///
      rs both homemaker and student)" 
8 "8. R student (if also working, working <20 hrs/wk)" 
-2 "-2. Refused/Don't know/Inapplicable", modify
;

#delimit cr

lab val V201534x V201534x
lab var V201534x "PRE SUMMARY: R occupation status 1 digit"

Party ID - V201231x

do if RPTYID = 1 and STRPTYID = 1. 
compute pid = 1.
else if RPTYID = 1 and STRPTYID = 2. 
compute pid = 2.
else if RPTYID = 0 and LEANPTY = 3.
compute pid = 3.
else if RPTYID = 0 and LEANPTY = 2.
compute pid = 4.
else if RPTYID = 0 and LEANPTY = 1.
compute pid = 5.
else if RPTYID = 5 and LEANPTY = 3.
compute pid = 3.
else if RPTYID = 5 and LEANPTY = 2.
compute pid = 4.
else if RPTYID = 5 and LEANPTY = 1.
compute pid = 5.
else if RPTYID = 3 and LEANPTY = 3.
compute pid = 3.
else if RPTYID = 3 and LEANPTY = 2.
compute pid = 4.
else if RPTYID = 3 and LEANPTY = 1.
compute pid = 5.
else if RPTYID = 2 and STRPTYID = 2. 
compute pid = 6. 
else if RPTYID = 2 and STRPTYID = 1. 
compute pid = 7. 
else if RPTYID = -9 and LEANPTY = 1.
compute pid = 5.
else if RPTYID = -9 and LEANPTY = 2.
compute pid = 4.
else if RPTYID = -9. and LEANPTY = 3.
compute pid = 3.
else if RPTYID = -8 and LEANPTY = 1.
compute pid = 5.
else if RPTYID = -8 and LEANPTY = 2.
compute pid = 4.
else if RPTYID = -8. and LEANPTY = 3.
compute pid = 3.
else if LEANPTY = -9.
compute pid = -9.
else if LEANPTY = -8.
compute pid = -8.
else if STRPTYID = -9.
compute pid = -9.
end if.
execute.

rename variables (pid = V201231x).
execute.

add value labels pid
 1 "1. Strong Democrat"
 2 "2. Not very strong Democrat"
 3 "3. Independent-Democrat"
 4 "4. Independent"
 5 "5. Independent-Republican"
 6 "6. Not very strong Republican"
 7 "7. Strong Republican"
 -9 "-9. Refused"
 -8 "-8. Don't know".
execute.

Education: Respondent - V201511x

*R: 5 category education.

do if EDUCR >=1 and EDUCR < 9.
compute education = 1.
else if EDUCR = 9.
compute education = 2.
else if EDUCR = 10.
compute education = 3.
else if EDUCR = 11.
compute education = 3.
else if EDUCR = 12.
compute education = 3.
else if EDUCR = 13.
compute education = 4.
else if EDUCR >= 14 and EDUCR <= 16.
compute education = 5.
else if EDUCR = -9.
compute education = -9.
else if EDUCR = -8.
compute education = -8.
else if EDUCR = 95.
compute education = -2. 
end if.
execute.

rename variables (education = V201511x).
execute.

add value labels education
 1 "1. Less than high school credential"
 2 "2. High school credential"
 3 "3. Some post-high school, no bachelor's degree"
 4 "4. Bachelor's degree"
 5 "5. Graduate degree"
 -9 "-9. Refused" 
 -8 "-8. Don't know"
 -2 "-2. Missing, other specify not coded for preliminary release".
execute.

Education: Spouse/Partner - V201514x

*R spouse/partner: 5 category education.

do if EDUCSP >=1 and EDUCSP < 9.
compute speducation = 1.
else if EDUCSP = 9.
compute speducation = 2.
else if EDUCSP = 10.
compute speducation = 3.
else if EDUCSP = 11.
compute speducation = 3.
else if EDUCSP = 12.
compute speducation = 3.
else if EDUCSP = 13.
compute speducation = 4.
else if EDUCSP >= 14 and EDUCSP <= 16.
compute speducation = 5.
else if EDUCSP = -9.
compute speducation = -9.
else if EDUCSP = -8.
compute speducation = -8.
else if EDUCSP = 95.
compute speducation = -2. 
else if EDUCSP = -1.
compute speducation = -1. 
end if.
execute.

rename variables (speducation = V201514x).
execute.

add value labels V201514x
 1 "1. Less than high school credential"
 2 "2. High school credential"
 3 "3. Some post-high school, no bachelor's degree"
 4 "4. Bachelor's degree"
 5 "5. Graduate degree"
 -9 "-9. Refused" 
 -8 "-8. Don't know"
 -2 "-2. Missing, other specify not coded for preliminary release"
 -1 "-1. Inapplicable".
execute.

Income - V201617x

*code cases for which R gave full income.

do if TOTINC = -5.
compute inc1 = -5.    
else if TOTINC = -9.
compute inc1 = -9.    
else if TOTINC >= 0 and TOTINC < 5000.
compute inc1 = 1.
else if TOTINC >= 5000 and TOTINC < 10000.
compute inc1 = 2.
else if TOTINC >= 10000 and TOTINC < 12500.
compute inc1 = 3.
else if TOTINC >= 12500 and TOTINC < 15000.
compute inc1 = 4.
else if TOTINC >= 15000 and TOTINC < 17500.
compute inc1 = 5.
else if TOTINC >= 17500 and TOTINC < 20000.
compute inc1 = 6.
else if TOTINC >= 20000 and TOTINC < 22500.
compute inc1 = 7.
else if TOTINC >= 22500 and TOTINC < 25000.
compute inc1 = 8.
else if TOTINC >= 25000 and TOTINC < 27500.
compute inc1 = 9.
else if TOTINC >= 27500 and TOTINC < 30000.
compute inc1 = 10.
else if TOTINC >= 30000 and TOTINC < 35000.
compute inc1 = 11.
else if TOTINC >= 35000 and TOTINC < 40000.
compute inc1 = 12.
else if TOTINC >= 40000 and TOTINC < 45000.
compute inc1 = 13.
else if TOTINC >= 45000 and TOTINC < 50000.
compute inc1 = 14.
else if TOTINC >= 50000 and TOTINC < 55000.
compute inc1 = 15.
else if TOTINC >= 55000 and TOTINC < 60000.
compute inc1 = 16.
else if TOTINC >= 60000 and TOTINC < 65000.
compute inc1 = 17.
else if TOTINC >= 65000 and TOTINC < 70000.
compute inc1 = 18.
else if TOTINC >= 70000 and TOTINC < 75000.
compute inc1 = 19.
else if TOTINC >= 75000 and TOTINC < 80000.
compute inc1 = 20.
else if TOTINC >= 80000 and TOTINC < 90000.
compute inc1 = 21.
else if TOTINC >= 90000 and TOTINC < 100000.
compute inc1 = 22.
else if TOTINC >= 100000 and TOTINC < 110000.
compute inc1 = 23.
else if TOTINC >= 110000 and TOTINC < 125000.
compute inc1 = 24.
else if TOTINC >= 125000 and TOTINC < 150000.
compute inc1 = 25.
else if TOTINC >= 150000 and TOTINC < 175000.
compute inc1 = 26.
else if TOTINC >= 175000 and TOTINC < 250000.
compute inc1 = 27.
else if TOTINC >= 250000.
compute inc1 = 28.
end if.
execute.

*add cases for which R selected income categories.

do if TOTL20 = 1.
compute inc1 = 1. 
else if TOTL20 = 2.
compute inc1 = 2.
else if TOTL20 = 3. 
compute inc1 = 3. 
else if TOTL20 = 4.
compute inc1 = 4.
else if TOTL20 = 5.
compute inc1 = 5.
else if TOTL20 = 6.
compute inc1 = 6.
else if TOTG20L40 = 7.
compute inc1 = 7.
else if TOTG20L40 = 8.
compute inc1 = 8.
else if TOTG20L40 = 9.
compute inc1 = 9.
else if TOTG20L40 = 10.
compute inc1 = 10.
else if TOTG20L40 = 11.
compute inc1 = 11.
else if TOTG20L40 = 12.
compute inc1 = 12.
else if TOTG40L70 = 13.
compute inc1 = 13.
else if TOTG40L70 = 14.
compute inc1 = 14.
else if TOTG40L70 = 15.
compute inc1 = 15.
else if TOTG40L70 = 16.
compute inc1 = 16.
else if TOTG40L70 = 17.
compute inc1 = 17.
else if TOTG40L70 = 18.
compute inc1 = 18.
else if TOTG70L100 = 19.
compute inc1 = 19.
else if TOTG70L100 = 20.
compute inc1 = 20.
else if TOTG70L100 = 21.
compute inc1 = 21.
else if TOTG70L100 = 22.
compute inc1 = 22.
else if TOTG100 = 23.
compute inc1 = 23.
else if TOTG100 = 24.
compute inc1 = 24.
else if TOTG100 = 25.
compute inc1 = 25.
else if TOTG100 = 26.
compute inc1 = 26.
else if TOTG100 = 27.
compute inc1 = 27.
else if TOTG100 = 28.
compute inc1 = 28.
end if.
execute.

add value labels inc1
 1 "1. Under $5,000"
 2 "2. $5,000-9,999"
 3 "3. $10,000-12,499"
 4 "4. $12,500-14,999"
 5 "5. $15,000-17,499"
 6 "6. $17,500-19,999"
 7 "7. $20,000-22,499"
 8 "8. $22,500-24,999"
 9 "9. $25,000-27,499"
 10 "10. $27,500-29,999"
 11 "11. $30,000-34,999"
 12 "12. $35,000-39,999"
 13 "13. $40,000-44,999"
 14 "14. $45,000-49,999"
 15 "15. $50,000-54,999"
 16 "16. $55,000-59,999"
 17 "17. $60,000-64,999"
 18 "18. $65,000-69,999"
 19 "19. $70,000-74,999"
 20 "20. $75,000-79,999"
 21 "21. $80,000-89,999"
 22 "22. $90,000-99,999"
 23 "23. $100,000-109,999"
 24 "24. $110,000-124,999"
 25 "25. $125,000-149,999"
 26 "26. $150,000-174,999"
 27 "27. $175,000-249,999"
 28 "28. $250,000 or more".
execute.    

*recode to new categories for final summary. 

do if inc1 = -9.
compute inc_x = -9.
else if inc1 = -5.    
compute inc_x = -5.    
else if inc1 = 1.
compute inc_x = 1.
else if inc1 = 2.
compute inc_x = 1.
else if inc1 = 3.
compute inc_x = 2.
else if inc1 = 4.
compute inc_x = 2.
else if inc1 = 5.
compute inc_x = 3.
else if inc1 = 6.
compute inc_x = 3.
else if inc1 = 7.
compute inc_x = 4.
else if inc1 = 8. 
compute inc_x = 4.
else if inc1 = 9.
compute inc_x = 5.
else if inc1 = 10.
compute inc_x = 5.
else if inc1 = 11.
compute inc_x = 6.
else if inc1 = 12.
compute inc_x = 7.
else if inc1 = 13.
compute inc_x = 8.
else if inc1 = 14.
compute inc_x = 9.
else if inc1 = 15.
compute inc_x = 10.
else if inc1 = 16.
compute inc_x = 10.
else if inc1 = 17.
compute inc_x = 11.
else if inc1 = 18.
compute inc_x = 12.
else if inc1 = 19.
compute inc_x = 13.
else if inc1 = 20.
compute inc_x = 14.
else if inc1 = 21.
compute inc_x = 15.
else if inc1 = 22.
compute inc_x = 16.
else if inc1 = 23.
compute inc_x = 17.
else if inc1 = 24.
compute inc_x = 18.
else if inc1 = 25.
compute inc_x = 19.
else if inc1 = 26. 
compute inc_x = 20.
else if inc1 = 27.
compute inc_x = 21.
else if inc1 = 28.
compute inc_x = 22.
end if.
execute.

rename variables (inc_x = V201617x).
execute.

add value labels V201617x
 -9 "-9. Refused"
 -5. "-5. Breakoff, sufficient partial IW"
 1 "1. Under $9,999"
 2 "2. $10,000-14,999"
 3 "3. $15,000-19,999"
 4 "4. $20,000-24,999"
 5 "5. $25,000-29,999"
 6 "6. $30,000-34,999"
 7 "7. $35,000-39,999"
 8 "8. $40,000-44,999"
 9 "9. $45,000-49,999"
 10 "10. $50,000-59,999"
 11 "11. $60,000-64,999"
 12 "12. $65,000-69,999"
 13 "13. $70,000-74,999"
 14 "14. $75,000-79,999"
 15 "15. $80,000-89,999"
 16 "16. $90,000-99,999"
 17 "17. $100,000-109,999"
 18 "18. $110,000-124,999"
 19 "19. $125,000-149,999"
 20 "20. $150,000-174,999"
 21 "21. $175,000-249,999"
 22 "22. $250,000 or more".
execute. 

Race/Ethnicity: Respondent - V201549x

*** RACE/ETHNICITY FOR R ***

*create indicators of mention of each race
gen white = 0
gen black = 0 
gen nativeam = 0
gen asian = 0
gen pacislander = 0
gen otherrace95 = 0
*Hispanic indicator already provided: HISP 
lab def hispanic 1 "1. Yes" 2 "2. No" -8 "-8. Don't know" -9 "-9. Refused"
lab val HISP hispanic 

*value labels
lab def racecps 1 "1. White" 2 "2. Black" 3 "3. Amer Indian Alaska Native" ///
  4 "4. Asian" 5 "5. Native Hawaiian Pacific Islander" 95 "95. Other"
lab def raceindicator 0 "0. Not selected" 1 "1. Selected" ///
  -8 "-8. Don't know" -9 "-9. Refused"

*code indicators for each race
foreach var in RACECPS RACECPS_2 RACECPS_3 RACECPS_4 RACECPS_5 RACECPS_6 {
    lab val `var' racecps
    replace white=1 if `var'==1
    replace black=1 if `var'==2
    replace nativeam=1 if `var'==3
    replace asian=1 if `var'==4
    replace pacislander=1 if `var'==5
    replace otherrace95=1 if `var'==95
}

*variable labels
lab var white "PRE: R race - White mentioned"
lab var black "PRE: R race - Black/African-American mentioned"
lab var nativeam "PRE: R race - American Indian/Alaska Native mentioned"
lab var asian "PRE: R race - Asian mentioned"
lab var pacislander "PRE: R race - Native Hawaiian/Other Pacific ///
  Islander mentioned"
lab var otherrace95 "PRE: R race - Other mentioned"

*number of races mentioned
gen numrace = white + black + asian + nativeam + pacislander + otherrace95

*add refused/don't know
foreach var in white black nativeam asian pacislander otherrace95  {
    lab val `var' raceindicator
    replace `var'=-8 if RACECPS==-8
    replace `var'=-9 if RACECPS==-9
}

*summary race/ethnicity variable
*if race is missing but Hispanic==1, code raceeth as Hispanic
*if race is not missing but Hispanic is missing, code raceeth as missing
gen raceeth=.
replace raceeth=1 if (numrace==1 & white==1 & HISP==2) /*White non-Hispanic*/
replace raceeth=2 if (numrace==1 & black==1 & HISP==2) /*Black non-Hispanic*/
/*Asian or Nat Hawaiian/Oth Pac Islnder, non-Hispanic*/
replace raceeth=4 if (numrace==1 & (asian==1 | pacislander==1) & HISP==2) 
/*other or American Indian/Alaska Native non-Hispanic*/
replace raceeth=5 if (numrace==1 & (nativeam==1 | otherrace95==1) & HISP==2) 
replace raceeth=6 if (inrange(numrace,2,6) & HISP==2) /*multiple races*/
replace raceeth=3 if HISP==1 /*Hispanic, any race or missing race*/
recode raceeth (.=-9) if (RACECPS==-9 | HISP==-9)
recode raceeth (.=-8) if (RACECPS==-8 | HISP==-8)
 
lab def raceeth 1 "1. White, non-Hispanic alone" ///
  2 "2. Black, non-Hispanic alone" ///
  3 "3. Hispanic" ///
  4 "4. Asian or Native Hawaiian/Oth Pac Islndr, non-Hispanic alone" ///
    5 "5. Amer Indian/Alaska Native or other race, non-Hispanic alone" ///
    6 "6. Multiple races, non-Hispanic" ///
    -8 "-8. Don't know" ///
    -9 "-9. Refused", modify
lab val raceeth raceeth
lab var raceeth "PRE: SUMMARY - R self-identified race/ethnicity"
fre white black asian pacislander HISP otherrace95 raceeth

Race/Ethnicity: Spouse/Partner - V201565x

*** SPOUSE RACE/ETHNICITY ***

*create indicators of mention of each race
gen spwhite = 0
gen spblack = 0 
gen spnativeam = 0
gen spasian = 0
gen sppacislander = 0
*Hispanic indicator already provided: HISPSP
lab def sphispanic 1 "1. Yes" 2 "2. No" ///
  -8 "-8. Don't know" -9 "-9. Refused" ///
  -1 "-1. Inapplicable"
lab val HISPSP sphispanic 

*variable and value labels
lab var spwhite "PRE: R spouse race - White mentioned"
lab var spblack "PRE: R spouse race - Black/African-American mentioned"
lab var spasian "PRE: R spouse race - Asian mentioned"
lab var spnativeam ///
  "PRE: R spouse race - American Indian/Alaska Native mentioned"
lab var sppacislander ///
  "PRE: R spouse race - Native Hawaiian/Oth Pac Islndr mentioned"
lab def spracecps 1 "1. White" 2 "2. Black" ///
  3 "3. Amer Indian Alaska Native" ///
  4 "4. Asian" 5 "5. Native Hawaiian Pacific Islander", modify 
lab def spraceindicator 0 "0. Not selected" 1 "1. Selected" ///
  -8 "-8. Don't know" ///
  -9 "-9. Refused" ///
  -1 "-1. Not applicable", modify

*code indicators for each race
foreach var in RACECPSSP RACECPSSP_2 RACECPSSP_3 RACECPSSP_4 RACECPSSP_5 {
    lab val `var' spracecps
    replace spwhite=1 if `var'==1
    replace spblack=1 if `var'==2
    replace spnativeam=1 if `var'==3 
    replace spasian=1 if `var'==4
    replace sppacislander=1 if `var'==5
    }

*number of races mentioned
gen spnumrace = spwhite + spblack + spnativeam + spasian + sppacislander 

*add refused/don't know
foreach var in spwhite spblack spnativeam spasian sppacislander {
    lab val `var' spraceindicator
    replace `var'=-1 if RACECPSSP==-1
    replace `var'=-8 if RACECPSSP==-8
    replace `var'=-9 if RACECPSSP==-9
}

*summary spouse race/ethnicity variable
*if race is missing but Hispanic==1, code raceeth as Hispanic
*if race is not missing but Hispanic is missing, code raceeth as missing
gen spraceeth=.
/*White non-Hispanic*/
replace spraceeth=1 if (spnumrace==1 & spwhite==1 & HISPSP==2) 
/*Black non-Hispanic*/
replace spraceeth=2 if (spnumrace==1 & spblack==1 & HISPSP==2) 
/*All other non-Hispanic*/
replace spraceeth=4 
  if ((inrange(spnumrace,2,5) | ///
    (spasian==1 | sppacislander==1 | spnativeam==1)) & HISPSP==2) 
replace spraceeth=3 if HISPSP==1 /*Hispanic, any race or missing race*/
recode spraceeth (.=-1) if (RACECPSSP==-1 | HISPSP==-1)
recode spraceeth (.=-9) if (RACECPSSP==-9 | HISPSP==-9)
recode spraceeth (.=-8) if (RACECPSSP==-8 | HISPSP==-8)
 
lab def spraceeth 1 "1. White, non-Hispanic alone" ///
  2 "2. Black, non-Hispanic alone" ///
  3 "3. Hispanic" ///
  4 "4. Asian, Native Hawaiian/Oth Pac Islndr, Amer Indian/Alaska Native, ///
    or multiple races, non-Hispanic" ///
    -8 "-8. Don't know" ///
    -9 "-9. Refused" ///
    -1 "-1. Inapplicable", modify
lab val spraceeth spraceeth
lab var spraceeth "PRE: SUMMARY - R spouse race/ethnicity"
fre spraceeth

Age - V201507x

*** AGE ***

*recode missing data
gen dob_year = BIRTHYR
gen dob_month = BIRTHMO
gen dob_day = BIRTHDY
recode dob_year dob_month dob_day (min/-1=.) /*recode missing data*/

*reproduce imputation
set seed 456456456 
*randomly impute birth month with uniform distribution
replace dob_month = runiformint(1,12) if !inrange(dob_month,1,12)
fre dob_month if BIRTHMO<0 /*frequency of imputed values*/
/*day was not missing but month was, ///
check that imputed month created a realistic birthday*/
list dob_month dob_day if (BIRTHMO<0 & BIRTHDY>0) 
*randomly impute birth day with uniform distribution if birth month is November
replace dob_day = runiformint(1,30) if (!inrange(dob_day,1,30) & dob_month==11)

*create age
/*subtract year of birth from 2020*/
gen age = 2020 - dob_year 
/*subtract 1 year if person's bday after election*/
replace age = age - 1 ///
  if ((dob_month==11 & inrange(dob_day,4,30)) | dob_month==12) 
replace age = -9 if BIRTHYR==-9
fre age

*topcode to 80+ for release
gen age_staff = age /*save var for staff without topcoding*/
lab def age_staff -9 "-9. RF (year of birth)", modify
lab val age_staff age_staff
recode age (80/120=80)
lab def age 80 "80. Age 80 or older" -9 "-9. RF (year of birth)", modify
lab val age age
lab var age "PRE: Respondent age"
fre age

Income - V202468x

*****************************
*****create post summary*****
*****************************

*code cases where R gave full income.

do if TOTINC_PO = -5.
compute incpo1 = -5.    
else if TOTINC_PO = -9.
compute incpo1 = -9.    
else if TOTINC_PO >= 0 and TOTINC_PO < 5000.
compute incpo1 = 1.
else if TOTINC_PO >= 5000 and TOTINC_PO < 10000.
compute incpo1 = 2.
else if TOTINC_PO >= 10000 and TOTINC_PO < 12500.
compute incpo1 = 3.
else if TOTINC_PO >= 12500 and TOTINC_PO < 15000.
compute incpo1 = 4.
else if TOTINC_PO >= 15000 and TOTINC_PO < 17500.
compute incpo1 = 5.
else if TOTINC_PO >= 17500 and TOTINC_PO < 20000.
compute incpo1 = 6.
else if TOTINC_PO >= 20000 and TOTINC_PO < 22500.
compute incpo1 = 7.
else if TOTINC_PO >= 22500 and TOTINC_PO < 25000.
compute incpo1 = 8.
else if TOTINC_PO >= 25000 and TOTINC_PO < 27500.
compute incpo1 = 9.
else if TOTINC_PO >= 27500 and TOTINC_PO < 30000.
compute incpo1 = 10.
else if TOTINC_PO >= 30000 and TOTINC_PO < 35000.
compute incpo1 = 11.
else if TOTINC_PO >= 35000 and TOTINC_PO < 40000.
compute incpo1 = 12.
else if TOTINC_PO >= 40000 and TOTINC_PO < 45000.
compute incpo1 = 13.
else if TOTINC_PO >= 45000 and TOTINC_PO < 50000.
compute incpo1 = 14.
else if TOTINC_PO >= 50000 and TOTINC_PO < 55000.
compute incpo1 = 15.
else if TOTINC_PO >= 55000 and TOTINC_PO < 60000.
compute incpo1 = 16.
else if TOTINC_PO >= 60000 and TOTINC_PO < 65000.
compute incpo1 = 17.
else if TOTINC_PO >= 65000 and TOTINC_PO < 70000.
compute incpo1 = 18.
else if TOTINC_PO >= 70000 and TOTINC_PO < 75000.
compute incpo1 = 19.
else if TOTINC_PO >= 75000 and TOTINC_PO < 80000.
compute incpo1 = 20.
else if TOTINC_PO >= 80000 and TOTINC_PO < 90000.
compute incpo1 = 21.
else if TOTINC_PO >= 90000 and TOTINC_PO < 100000.
compute incpo1 = 22.
else if TOTINC_PO >= 100000 and TOTINC_PO < 110000.
compute incpo1 = 23.
else if TOTINC_PO >= 110000 and TOTINC_PO < 125000.
compute incpo1 = 24.
else if TOTINC_PO >= 125000 and TOTINC_PO < 150000.
compute incpo1 = 25.
else if TOTINC_PO >= 150000 and TOTINC_PO < 175000.
compute incpo1 = 26.
else if TOTINC_PO >= 175000 and TOTINC_PO < 250000.
compute incpo1 = 27.
else if TOTINC_PO >= 250000.
compute incpo1 = 28.
end if.
execute.

*add cases where R selected income categories.

do if TOTL20_PO = 1.
compute incpo1 = 1. 
else if TOTL20_PO = 2.
compute incpo1 = 2.
else if TOTL20_PO = 3. 
compute incpo1 = 3. 
else if TOTL20_PO = 4.
compute incpo1 = 4.
else if TOTL20_PO = 5.
compute incpo1 = 5.
else if TOTL20_PO = 6.
compute incpo1 = 6.
else if TOTG20L40_PO = 7.
compute incpo1 = 7.
else if TOTG20L40_PO = 8.
compute incpo1 = 8.
else if TOTG20L40_PO = 9.
compute incpo1 = 9.
else if TOTG20L40_PO = 10.
compute incpo1 = 10.
else if TOTG20L40_PO = 11.
compute incpo1 = 11.
else if TOTG20L40_PO = 12.
compute incpo1 = 12.
else if TOTG40L70_PO = 13.
compute incpo1 = 13.
else if TOTG40L70_PO = 14.
compute incpo1 = 14.
else if TOTG40L70_PO = 15.
compute incpo1 = 15.
else if TOTG40L70_PO = 16.
compute incpo1 = 16.
else if TOTG40L70_PO = 17.
compute incpo1 = 17.
else if TOTG40L70_PO = 18.
compute incpo1 = 18.
else if TOTG70L100_PO = 19.
compute incpo1 = 19.
else if TOTG70L100_PO = 20.
compute incpo1 = 20.
else if TOTG70L100_PO = 21.
compute incpo1 = 21.
else if TOTG70L100_PO = 22.
compute incpo1 = 22.
else if TOTG100_PO = 23.
compute incpo1 = 23.
else if TOTG100_PO = 24.
compute incpo1 = 24.
else if TOTG100_PO = 25.
compute incpo1 = 25.
else if TOTG100_PO = 26.
compute incpo1 = 26.
else if TOTG100_PO = 27.
compute incpo1 = 27.
else if TOTG100_PO = 28.
compute incpo1 = 28.
end if.
execute.  

*recode to new categories for final summary. 

do if incpo1 = -9.
compute poinc_x = -9.
else if incpo1 = -5.    
compute poinc_x = -5.    
else if incpo1 = 1.
compute poinc_x = 1.
else if incpo1 = 2.
compute poinc_x = 1.
else if incpo1 = 3.
compute poinc_x = 2.
else if incpo1 = 4.
compute poinc_x = 2.
else if incpo1 = 5.
compute poinc_x = 3.
else if incpo1 = 6.
compute poinc_x = 3.
else if incpo1 = 7.
compute poinc_x = 4.
else if incpo1 = 8. 
compute poinc_x = 4.
else if incpo1 = 9.
compute poinc_x = 5.
else if incpo1 = 10.
compute poinc_x = 5.
else if incpo1 = 11.
compute poinc_x = 6.
else if incpo1 = 12.
compute poinc_x = 7.
else if incpo1 = 13.
compute poinc_x = 8.
else if incpo1 = 14.
compute poinc_x = 9.
else if incpo1 = 15.
compute poinc_x = 10.
else if incpo1 = 16.
compute poinc_x = 10.
else if incpo1 = 17.
compute poinc_x = 11.
else if incpo1 = 18.
compute poinc_x = 12.
else if incpo1 = 19.
compute poinc_x = 13.
else if incpo1 = 20.
compute poinc_x = 14.
else if incpo1 = 21.
compute poinc_x = 15.
else if incpo1 = 22.
compute poinc_x = 16.
else if incpo1 = 23.
compute poinc_x = 17.
else if incpo1 = 24.
compute poinc_x = 18.
else if incpo1 = 25.
compute poinc_x = 19.
else if incpo1 = 26. 
compute poinc_x = 20.
else if incpo1 = 27.
compute poinc_x = 21.
else if incpo1 = 28.
compute poinc_x = 22.
end if.
execute.

*create prepost inc.

compute prepost_inc = inc_x.
execute.

do if poinc_x > 0.
compute prepost_inc = poinc_x.
end if.
execute.

Vote and Turnout Variables

- Pre-Election Presidential/House/Senate/Gubernatorial vote/intent/preference:
      V201075x, V201076x, V201077x, V201078x
- Post-Election Presidential/House/Senate/Gubernatorial vote/preference:
      V202105x, V202106x, V202107x, V202108x
- PRE-POST Summary: Presidential/House/Senate/Gubernatorial vote:
      V202110x, V202111x, V202112x, V202113x
- PRE-POST Summary: Turnout and Registration/Turnout:
      V202109x

rawsurveydata %>% 
  mutate(
    V201075x = case_when(
      PRESVTWHO_rec_final %in% c(1,6) ~ 10, #vote Dem
      PRESVTWHO_rec_final %in% c(2,7) ~ 11, #vote Rep
      PRESVTWHO_rec_final %in% c(3,4,5,8,9,10) ~ 12, #vote Oth
      INTPRESWHO_rec_final %in% c(1,6) ~ 20, #intend to vote Dem
      INTPRESWHO_rec_final %in% c(2,7) ~ 21, #intend to vote Rep
      INTPRESWHO_rec_final %in% c(3,4,5,8,9,10) ~ 22, #intend to vote Oth
      PREFPRWHO_rec_final %in% c(1,6) ~ 30, #prefer to vote Dem
      PREFPRWHO_rec_final %in% c(2,7) ~ 31, #prefer to vote Rep
      PREFPRWHO_rec_final %in% c(3,4,5,8,9,10) ~ 32, #prefer to vote Oth
      TRUE ~ -1), #inap; no vote/intent/pref    

    V201076x = case_when(
      HSVTBC_rec_final %in% c(1,6,8) | 
        HSVTNOBC_rec_final %in% c(1,6,8) ~ 10, #vote Dem
      HSVTBC_rec_final %in% c(2,7,9) | 
        HSVTNOBC_rec_final %in% c(2,7,9) ~ 11, #vote Rep
      HSVTBC_rec_final %in% c(3,5,10) | 
        HSVTNOBC_rec_final %in% c(3,5,10) ~ 12, #vote Oth
      INTHSBC_rec_final %in% c(1,6,8) | 
        INTHSNOBC_final %in% c(1,6,8) ~ 20, #intend to vote Dem
      INTHSBC_rec_final %in% c(2,7,9) | 
        INTHSNOBC_final %in% c(2,7,9) ~ 21, #intend to vote Rep
      INTHSBC_rec_final %in% c(3,5,10) | 
        INTHSNOBC_final %in% c(3,5,10) ~ 22, #intend to vote Oth
      HSPREFBC_rec_final %in% c(1,6,8) | 
        HSPREFNOBC_rec_final %in% c(1,6,8) ~ 30, #prefer to vote Dem
      HSPREFBC_rec_final %in% c(2,7,9) | 
        HSPREFNOBC_rec_final %in% c(2,7,9) ~ 31, #prefer to vote Rep
      HSPREFBC_rec_final %in% c(3,5,10) | 
        HSPREFNOBC_rec_final %in% c(3,5,10) ~ 32, #prefer to vote Oth      
      TRUE ~ -1), #inap; no vote/intent/pref   
    
    V201077x = case_when(
      VTSENBC_final %in% c(1,6,8) | 
        VTSENNOBC_rec_final %in% c(1,6,8) ~ 10, #vote Dem
      VTSENBC_final %in% c(2,7,9) | 
        VTSENNOBC_rec_final %in% c(2,7,9) ~ 11, #vote Rep
      VTSENBC_final %in% c(3,95,10) | 
        VTSENNOBC_rec_final %in% c(3,5,10) ~ 12, #vote Oth
      INTSENBC_rec_final %in% c(1,6,8) | 
        INTSENNOBC_rec_final %in% c(1,6,8) ~ 20, #vote Dem
      INTSENBC_rec_final %in% c(2,7,9) | 
        INTSENNOBC_rec_final %in% c(2,7,9) ~ 21, #vote Rep
      INTSENBC_rec_final %in% c(3,95,10) | 
        INTSENNOBC_rec_final %in% c(3,5,10) ~ 22, #vote Oth
      SENPREFBC_rec_final %in% c(1,6,8) | 
        SENPREFNOBC_rec_final %in% c(1,6,8) ~ 30, #vote Dem
      SENPREFBC_rec_final %in% c(2,7,9) | 
        SENPREFNOBC_rec_final %in% c(2,7,9) ~ 31, #vote Rep
      SENPREFBC_rec_final %in% c(3,95,10) | 
        SENPREFNOBC_rec_final %in% c(3,5,10) ~ 32, #vote Oth
      TRUE ~ -1), #inap; no vote/intent/pref    
    
    V201078x = case_when(
      VTGOVBC_rec_final %in% c(1,6,8) ~ 10, #vote Dem
      VTGOVBC_rec_final %in% c(2,7,9) ~ 11, #vote Rep
      VTGOVBC_rec_final %in% c(3,5,10) ~ 12, #vote Oth
      INTGOVBC_rec_final %in% c(1,6,8) | 
        INTGOVNOBC_rec_final %in% c(1,6,8) ~ 20, #intend to vote Dem
      INTGOVBC_rec_final %in% c(2,7,9) | 
        INTGOVNOBC_rec_final %in% c(2,7,9) ~ 21, #intend to vote Rep
      INTGOVBC_rec_final %in% c(3,5,10) | 
        INTGOVNOBC_rec_final %in% c(3,5,10) ~ 22, #intend to vote Oth      
      GOVPREFBC_final %in% c(1,6,8) | 
        GOVPREFNOBC_rec_final %in% c(1,6,8) ~ 30, #prefer to vote Dem
      GOVPREFBC_final %in% c(2,7,9) | 
        GOVPREFNOBC_rec_final %in% c(2,7,9) ~ 31, #prefer to vote Rep
      GOVPREFBC_final %in% c(3,5,10) | 
        GOVPREFNOBC_rec_final %in% c(3,5,10) ~ 32, #prefer to vote Oth 
      TRUE ~ -1), #inap; no vote/intent/pref    
    
    V202105x = case_when(
      PRESVTWHO_rec_final_po %in% c(1,6) ~ 10, #vote D
      PRESVTWHO_rec_final_po %in% c(2,7) ~ 11, #vote R
      PRESVTWHO_rec_final_po %in% c(3,4,5,8,9,10) ~ 12, #vote Oth
      PREFPRWHO_rec_final_po %in% c(1,6)  ~ 30, #pref D
      PREFPRWHO_rec_final_po %in% c(2,7) ~ 31, #pref R
      PREFPRWHO_rec_final_po %in% c(3,4,5,8,9,10) ~ 32, #pref Oth
      TRUE ~ -1), #inap; no vote/intent/pref    

    V202106x = case_when(
      HSVTBC_rec_final_po %in% c(1,6,8) | 
        HSVTNOBC_rec_final_po %in% c(1,6,8) ~ 10, #vote Dem
      HSVTBC_rec_final_po %in% c(2,7,9) | 
        HSVTNOBC_rec_final_po %in% c(2,7,9) ~ 11, #vote Rep
      HSVTBC_rec_final_po %in% c(3,5,10) | 
        HSVTNOBC_rec_final_po %in% c(3,5,10) ~ 12, #vote Oth
      HSPREFBC_rec_final_po %in% c(1,6,8) | 
        HSPREFNOBC_rec_final_po %in% c(1,6,8) ~ 30, #prefer to vote Dem
      HSPREFBC_rec_final_po %in% c(2,7,9) | 
        HSPREFNOBC_rec_final_po %in% c(2,7,9) ~ 31, #prefer to vote Rep
      HSPREFBC_rec_final_po %in% c(3,5,10) | 
        HSPREFNOBC_rec_final_po %in% c(3,5,10) ~ 32, #prefer to vote Oth  
      TRUE ~ -1),    
    
    V202107x = case_when(
      VTSENBC_rec_final_po %in% c(1,6,8) | 
        VTSENNOBC_rec_final_po %in% c(1,6,8) ~ 10, #vote Dem
      VTSENBC_rec_final_po %in% c(2,7,9) | 
        VTSENNOBC_rec_final_po %in% c(2,7,9) ~ 11, #vote Rep
      VTSENBC_rec_final_po %in% c(3,5,10) | 
        VTSENNOBC_rec_final_po %in% c(3,5,10) ~ 12, #vote Oth
      SENPREFBC_rec_final_po %in% c(1,6,8) | 
        SENPREFNOBC_rec_final_po %in% c(1,6,8) ~ 30, #vote Dem
      SENPREFBC_rec_final_po %in% c(2,7,9) | 
        SENPREFNOBC_rec_final_po %in% c(2,7,9) ~ 31, #vote Rep
      SENPREFBC_rec_final_po %in% c(3,5,10) | 
        SENPREFNOBC_rec_final_po %in% c(3,5,10) ~ 32, #vote Oth      
      TRUE ~ -1),    
    
    V202108x = case_when(
      VTGOVBC_rec_final_po %in% c(1,6,8) | 
        VTGOVNOBC_rec_final_po %in% c(1,6,8) ~ 10, #vote Dem
      VTGOVBC_rec_final_po %in% c(2,7,9) | 
        VTGOVNOBC_rec_final_po %in% c(2,7,9) ~ 11, #vote Rep
      VTGOVBC_rec_final_po %in% c(3,5,10) | 
        VTGOVNOBC_rec_final_po %in% c(3,5,10) ~ 12, #vote Oth
      GOVPREFBC_rec_final_po %in% c(1,6,8) | 
        GOVPREFNOBC_rec_final_po %in% c(1,6,8) ~ 30, #vote Dem
      GOVPREFBC_rec_final_po %in% c(2,7,9) | 
        GOVPREFNOBC_rec_final_po %in% c(2,7,9) ~ 31, #vote Rep
      GOVPREFBC_rec_final_po %in% c(3,5,10) | 
        GOVPREFNOBC_rec_final_po %in% c(3,5,10) ~ 32, #vote Oth
      TRUE ~ -1),    
    
    V202110x = case_when(
      PRESVTWHO_rec_final %in% c(1,6) | 
        PRESVTWHO_rec_final_po %in% c(1,6) ~ 1, #Vote D
      PRESVTWHO_rec_final %in% c(2,7) | 
        PRESVTWHO_rec_final_po %in% c(2,7) ~ 2, #Vote R
      PRESVTWHO_rec_final %in% c(3,8) | 
        PRESVTWHO_rec_final_po %in% c(3,8) ~ 3, #Vote Jo Jorgensen
      PRESVTWHO_rec_final %in% c(4,9) | 
        PRESVTWHO_rec_final_po %in% c(4,9) ~ 4, #Vote Howie Hawkins
      PRESVTWHO_rec_final %in% c(5,10) | 
        PRESVTWHO_rec_final_po %in% c(5,10) ~ 5, #Vote Oth
      PRESVTWHO_rec_final %in% c(-8, 11) | 
        PRESVTWHO_rec_final_po %in% c(-8, 11) ~ -8, #Don't Know
      PRESVTWHO_rec_final %in% c(-9, 12) | 
        PRESVTWHO_rec_final_po %in% c(-9, 12) ~ -9, #Refused
      TRUE ~ -1), #inap; no vote    

    V202111x = case_when(
      HSVTBC_rec_final %in% c(1,6,8) | 
        HSVTBC_rec_final_po %in% c(1,6,8) | 
        HSVTNOBC_rec_final %in% c(1,6,8) | 
        HSVTNOBC_rec_final_po %in% c(1,6,8) ~ 1,
      HSVTBC_rec_final %in% c(2,7,9) | 
        HSVTBC_rec_final_po %in% c(2,7,9) | 
        HSVTNOBC_rec_final %in% c(2,7,9) | 
        HSVTNOBC_rec_final_po %in% c(2,7,9) ~ 2,
      HSVTBC_rec_final %in% c(3,5,10) | 
        HSVTBC_rec_final_po %in% c(3,5,10) | 
        HSVTNOBC_rec_final %in% c(3,5,10) | 
        HSVTNOBC_rec_final_po %in% c(3,5,10)  ~ 3, #vote Oth
      HSVTBC_rec_final %in% c(-8,11) | 
        HSVTBC_rec_final_po %in% c(-8,11) | 
        HSVTNOBC_rec_final %in% c(-8,11) | 
        HSVTNOBC_rec_final_po %in% c(-8,11) ~ -8, #Don't Know
      HSVTBC_rec_final %in% c(-9,12) | 
        HSVTBC_rec_final_po %in% c(-9,12) | 
        HSVTNOBC_rec_final %in% c(-9,12) | 
        HSVTNOBC_rec_final_po %in% c(-9,12) ~ -9, #Refused
      TRUE ~ -1), #inap; no vote    
    
    V202112x = case_when(
      VTSENBC_final %in% c(1,6,8) | 
        VTSENBC_rec_final_po %in% c(1,6,8) | 
        VTSENNOBC_rec_final %in% c(1,6,8) | 
        VTSENNOBC_rec_final_po %in% c(1,6,8) ~ 1,
      VTSENBC_final %in% c(2,7,9) | 
        VTSENBC_rec_final_po %in% c(2,7,9) | 
        VTSENNOBC_rec_final %in% c(2,7,9) | 
        VTSENNOBC_rec_final_po %in% c(2,7,9) ~ 2,
      VTSENBC_final %in% c(3,95,10) | 
        VTSENBC_rec_final_po %in% c(3,5,10) | 
        VTSENNOBC_rec_final %in% c(3,5,10) | 
        VTSENNOBC_rec_final_po %in% c(3,5,10) ~ 3, #vote Oth
      VTSENBC_final %in% c(-8,11) | 
        VTSENBC_rec_final_po %in% c(-8,11) | 
        HSVTNOBC_rec_final %in% c(-8,11) | 
        VTSENNOBC_rec_final_po %in% c(-8,11) ~ -8, #Don't Know
      VTSENBC_final %in% c(-9,12) | 
        VTSENBC_rec_final_po %in% c(-9,12) | 
        HSVTNOBC_rec_final %in% c(-9,12) | 
        VTSENNOBC_rec_final_po %in% c(-9,12) ~ -9, #Refused
      TRUE ~ -1), #inap; no vote    

    V202113x = case_when(
      VTGOVBC_rec_final %in% c(1,6,8) | 
        VTGOVBC_rec_final_po %in% c(1,6,8) | 
        VTGOVNOBC_rec_final_po %in% c(1,6,8) ~ 1,
      VTGOVBC_rec_final %in% c(2,7,9) | 
        VTGOVBC_rec_final_po %in% c(2,7,9) | 
        VTGOVNOBC_rec_final_po %in% c(2,7,9) ~ 2,
      VTGOVBC_rec_final %in% c(3,5,10) | 
        VTGOVBC_rec_final_po %in% c(3,5,10) | 
        VTGOVNOBC_rec_final_po %in% c(3,5,10) ~ 3, #vote Oth
      VTGOVBC_rec_final %in% c(-8,11) | 
        VTGOVBC_rec_final_po %in% c(-8,11) | 
        VTGOVNOBC_rec_final_po %in% c(-8,11) ~ -8, #Don't Know
      VTGOVBC_rec_final %in% c(-9,12) | 
        VTGOVBC_rec_final_po %in% c(-9,12) | 
        VTGOVNOBC_rec_final_po %in% c(-9,12) ~ -9, #Refused
      TRUE ~ -1), #inap; no vote    

    V202109x = case_when(
      HOWVOTE %in% c(1,2,3,-9) | RVOTE_PO == 4 ~ 1, #Voted
      RVOTE_PO %in% 1:3 ~ 0, #Did not vote
      TRUE ~ -2), #Not reported
    
    V202068x = case_when(
      # voted regardless of registration status
      HOWVOTE %in% c(1,2,3,-9) | RVOTE_PO == 4 ~ 2, 
      # Registered but did not vote
      ( reg_pre == 1 | REGIST_PO %in% 1:2 ) & ( RVOTE_PO %in% 1:3 ) ~ 1,
      # Did not register and did not vote
      ( REGIST_PO == 3 ) & (RVOTE_PO %in% 1:3 ) ~ 0, 
      #Not reported
      TRUE ~ -2) 
  )

APPENDIX B: RELIGION CODES

These are numeric codes used in V201457x - PRE: SUMMARY: Full religion summary.

010. Protestant, NFS, other, unknown, inter-, or non-denominational
099. Christian, NFS, unknown, inter-, or non-denominational
100. 7th Day Adventist
101. Sabbatarian
109. Adventist (NFS)
110. Episcopalian; Anglican
120. American Baptist Association
121. American Baptist Churches USA (wrongly aka 'Northern Baptist')
122. Baptist Bible Fellowship
123. Baptist General Conference
124. Missionary Baptist; Baptist Missionary Association of America
125. Conservative Baptist Association of America
126. General Association of Regular Baptist Churches; GARB
127. National Association of Free Will Baptists; United Free Will Baptist Church
128. Primitive Baptist
129. National Baptist Convention in the USA
130. National Baptist Convention of America
131. National Primitive Baptist Convention of the USA
132. Progressive National Baptist Convention
133. National Baptist Convention NFS
134. Reformed Baptist (Calvinist)
135. Southern Baptist Convention
136. Full Gospel Baptist Church Fellowship
149. Baptist (NFS or other Baptist group not in codes 120-135)
150. United Church of Christ; UCC; Congregational; Congregationalist;
     Evangelical and Reformed Church
155. Congregational Christian
160. Church of the Brethren
161. Brethren (NFS)
162. Mennonite Church
163. Moravian Church
164. Old Order Amish
165. Quakers; Friends
166. Evangelical Covenant Church (not Anabaptist in tradition)
167. Evangelical Free Church, EFC, or EFCA (not Anabaptist in tradition)
168. Brethren in Christ
169. Apostolic Christian Church of America
170. Mennonite Brethren
171. Apostolic Christian Church Nazarene
180. Christian and Missionary Alliance; CMA; Alliance
181. Church of God (Anderson, IN)
182. Church of the Nazarene
183. Free Methodist Church
184. Salvation Army
185. Wesleyan Church
186. Church of God of Findlay, OH
199. Pentecostal (NFS); Church of God (NFS); Holiness (NFS); not ascertained
     whether R Pentecostal or Charismatic (Holin
200. Plymouth Brethren
201. Independent Fundamental Churches of America; IFCA
219. Independent-Fundamentalist (NFS)
220. Evangelical Lutheran Church in America (formerly Lutheran Church in 
     America and The American Lutheran Church); ELCA
221. Lutheran Church, Missouri Synod; LC-MS
222. Wisconsin Evangelical Lutheran Synod; WELS
224. Lutheran Free Church, Association of Free Lutheran Churches, AFLC
225. Church of the Lutheran Brethren
229. Lutheran (other or NFS)
230. United Methodist Church; Evangelical United Brethren
231. African Methodist Episcopal Church; AME
232. African Methodist Episcopal Zion Church
233. Christian Methodist Episcopal Church
234. Primitive Methodist
235. Congregational Methodist (fundamentalist)
240. Fire-Baptized Holiness
242. Assemblies of the Lord Jesus Christ; AJLC
243. Church of Our Lord Jesus Christ of the Apostolic Faith; COOLJC
244. Church of the Lord Jesus Christ of the Apostolic Faith; CLJC
245. Bible Way Church of Our Lord Jesus Christ
246. International Bible Way Church of Our Lord Jesus Christ
249. Methodist (other or NFS)
250. Assemblies of God; Assembly of God
251. Church of God (Cleveland, TN)
252. Church of God (Huntsville, AL)
253. International Church of the Four Square Gospel
254. Pentecostal Church of God
255. Pentecostal Holiness Church
256. United Pentecostal Church International
257. Church of God in Christ (incl. not ascertained whether 258)
258. Church of God in Christ International
260. Church of God of the Apostolic Faith
261. Church of God of Prophecy
262. Vineyard Fellowship
263. Open Bible Standard Churches
264. Full Gospel
267. Apostolic Pentecostal
270. Presbyterian Church in the U.S.A.
271. Cumberland Presbyterian Church
272. Presbyterian Church in America; PCA
275. Evangelical Presbyterian
276. Reformed Presbyterian
279. Presbyterian (other or NFS)
280. Christian Reformed Church (inaccurately known as 'Dutch Reformed')
281. Reformed Church in America
289. Reformed (other or NFS)
290. Christian Church; Disciples of Christ
291. Christian Churches and Churches of Christ
292. Churches of Christ; Church of Christ (NFS)
293. Christian Congregation
300. Christian Scientists
301. Mormons; Latter Day Saints; Community of Christ
303. Unitarian; Universalist
304. Jehovah's Witnesses
305. Unity; Unity Church; Christ Church Unity
306. Fundamentalist Adventist; Worldwide Church of God; United Church of God
400. Roman Catholic
501. Orthodox
502. Conservative
503. Reform
524. Jewish, other, no preference, or NFS
600. Catholic and  Protestant
650. Messianic Judaism; Jews for Jesus
695. More than 1 major religion (e.g., Christian, Jewish, Muslim, etc.)
700. Greek Rite Catholic
701. Greek Orthodox
702. Russian Orthodox
703. Rumanian Orthodox
704. Serbian Orthodox
705. Syrian Orthodox
706. Armenian Orthodox
707. Georgian Orthodox
708. Ukrainian Orthodox
719. Eastern Orthodox (NFS or other specific Orthodox church)
720. Muslim; Islam
721. Buddhist
722. Hindu
723. Baha'i; Bahai
724. American Indian religions; Native American religions
725. New Age
726. Wicca; Wiccan
727. Pagan
730. Sikh
732. Konko Church
735. Spiritualists (not 'spiritual; must refer specifically to 'Spiritualism' 
     or 'Spiritualists')
736. Religious Science; Science of Mind (not Scientology; not Christian
     Scientists); Centers for Spiritual Living
740. Other non-Christian /non-Jewish
750. Scientology
790. Religious /ethical cults
870. Other tradition not codeable to 010-790
879. R indicates having an affiliation but does not specify one
880. None
888. DK whether considers self as part of a particular religion
889. RF to say if considers self as part of a particular religion

APPENDIX C: “MOST IMPORTANT PROBLEM” CODES

These are numeric codes used in V202205y1-y16, V202207y1-y13, V202209y1-y9, and V202211y1-y9.

1. Defense spending
2. Middle East
3. Iraq
4. War
5. Terrorism
6. Veterans
7. National defense (all other)
8. Foreign aid
9. Foreign Trade
10. Protection of US jobs
11. Serbia /Balkans
12. China
13. International affairs (all other)
14. Energy crisis
15. Energy prices
16. Energy (all other)
17. Environment
18. Natural Resources (all other)
19. Education and training
20. School funding
21. Education (all other)
22. AIDS
23. Medicare
24. Health (all other)
25. Welfare
26. Poverty
27. Employment
28. Housing
29. Social security
30. Income (all other)
31. Crime
32. Race relations
33. Illegal drugs
34. Police problems
35. Guns
36. Corporate Corruption
37. Justice (all other)
38. Budget
39. Size of government
40. Taxes
41. Immigration
42. Campaign finance
43. Political corruption
44. Ethics
45. Government power
46. Budget priorities
47. Partisan politics
48. Politicians
49. Government (all other)
50. The economy
51. Stock market
52. Economic inequality
53. Recession
54. Inflation
55. Economics (all other)
56. Agriculture
57. Science
58. Commerce
59. Transportation
60. Community development
61. Abortion
62. Child care
63. Overpopulation
64. Public morality
65. Domestic violence
66. Family
67. Young people
68. Sexual identity /LGBT+ issues
69. The media
75. Sexism /Gender issues
76. Afghanistan
77. Syria
78. Elections
79. Religion
80. Civility
81. Unity /division
82. Health care
700. Everything
750. All of them
800. Other problem
990. Answer not interpretable
997. Other comment not matching any description

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1. The post-election survey also included respondents from the General Social Survey, details of which will be provided in a future data product.↩︎