ANES Correct Voting
Principal Investigator(s): View help for Principal Investigator(s) Richard R. Lau, Rutgers University New Brunswick
Version: View help for Version V1
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application/vnd.openxmlformats-officedocument.wordprocessingml.document | 30.2 KB | 10/24/2024 07:12:AM |
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text/x-spss-syntax | 2.4 KB | 10/24/2024 06:54:AM |
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application/x-spss-sav | 896.2 KB | 07/12/2024 01:24:PM |
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application/x-spss-sav | 42 KB | 07/10/2024 08:48:AM |
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Project Citation:
Lau, Richard R. ANES Correct Voting. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-10-24. https://doi.org/10.3886/E209844V1
Project Description
Summary:
View help for Summary
This 2024 announcement
updates prior releases of Lau and Redlawsk’s operationalization of “correct
voting” in U.S. presidential elections utilizing the quadrennial ANES surveys,
now extending available data to the 2020 election. This folder contains 13
relatively small spss system files (e.g., CorVt72.sav, CorVt76.sav, etc.), one for
each presidential year election study from 1972 through 2020 – plus one big
combined system file including data from all 13 elections. Each file contains
11 variables:
(Election) Year, CaseID (from the ANES survey),
(survey) Mode,
four slightly different estimates of which
candidate we calculate is the correct choice for each respondent (USCorCand,
UMCorCand, WSCorCand, and WMCorCand),
and four slightly different estimates of whether
the respondent reported voting for that “correct” candidate (CorrVtUS,
CorrVtUM, CorrVtWS, and CorrVtWM).
The US, UM, WS, and WM prefixes and suffixes refer to
Unweighted Sums, Unweighted Means, Weighted Sums, and Weighted Means,
respectively. As in the past, we only provide estimates for respondents with
both pre- and post-election surveys. Unlike past releases, however, the data
now includes an indicator of survey mode, and we now provide estimates for
respondents interviewed with all available survey modes, not just the tradition
face-to-face mode. This greatly increases the number of respondents with correct
voting estimates from the 2000, 2012, 2016, and of course 2020 studies (when
because of covid no face-to-face interviews were conducted). Fortunately,
eyeballing this new data (see Correct Voting Summary Data.docx), there
do not appear to be any significant mode differences beyond what can be
explained by sampling error.
Scope of Project
Subject Terms:
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Correct Voting
Related Publications
Published Versions
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