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Public Opinion Quarterly 56:77-86 (1992)
© 1992 American Association for Public Opinion Research

LITTLE WHITE LIES AND SOCIAL SCIENCE MODELS CORRELATED RESPONSE ERRORS IN A PANEL STUDY OF VOTING

STANLEY PRESSER and MICHAEL TRAUGOTT

STANLEY PRESSER is professor of sociology and director of the Survey Research Center at the University of Maryland, MICHAEL TRAUGOTT is program director in the Center for Political Studies and professor of communication at the University of Michigan. We acknowledge the helpful comments of the anonymous referees and the statistical advice of Chris Achen and John Jackson. The data analyzed here were made available by the Inter-University Consortium for Political and Social Research and were originally collected by the University of Michigan's Institute for Social Research under a grant from the National Science Foundation. Neither the Institute nor the Consortium bears responsibility for the analyses and interpretations presented here.

One interpretation for the common survey finding that the background characteristics of vote overreporters resemble those of actual voters is that misreporters usually vote. This hypothesis—that misreporters regularly voted in earlier elections—is tested with data from the 1972–74–76 Michigan Election Panel. It receives no support: the 1972 and 1974 validated turnout of the 1976 misreporters was very low. Moreover, misreporting was a fairly stable respondent characteristic: misreporting about an election in one interview was correlated with misreporting about the remaining elections in each of the other two interviews. A comparison of regressions predicting turnout using the validated reports versus the self-reports shows that the respondent errors can distort conclusions about the correlates of voting. For example, controlling for three other variables, education was related to self-reported voting but not to validated voting. Here, as well as in surveys of other socially desirable or undesirable issues, respondent self-reports may bias survey data in favor of commonsense models of the world.


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