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Towards a General Theory of Survey Response: Likert Scales Vs. Quadratic Voting for Attitudinal Research

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  • Cavaillé, Charlotte
  • Chen, Daniel L.
  • Van Der Straeten, Karine

Abstract

"Likert scales" are the most standard and widespread instrument in survey research when measuring public opinion on political and economic issues. In this simple approach, respondents are given the opportunity to voice their agreement or disagreement on a set of issues by placing their attitudes on a scale that runs from ìstrongly disagreeîto ìstrongly agree.î One assumption commonly made by social scientists using such scales is that they provide faithful - if noisy - measures of respondentsíviews. We challenge this assumption, highlighting several reasons why respondents may be expected to sysmatically exaggerate their views in political surveys using Likert scales. We propose a simple decision-theoretic model of survey answers to discuss whether Quadratic Voting might overcome these pathologies. We provide conditions under which one might expect Quadratic Voting to outperform Likert scales.

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  • Cavaillé, Charlotte & Chen, Daniel L. & Van Der Straeten, Karine, 2018. "Towards a General Theory of Survey Response: Likert Scales Vs. Quadratic Voting for Attitudinal Research," IAST Working Papers 18-93, Institute for Advanced Study in Toulouse (IAST), revised Jan 2019.
  • Handle: RePEc:tse:iastwp:33162
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    1. E. Glen Weyl, 2017. "The robustness of quadratic voting," Public Choice, Springer, vol. 172(1), pages 75-107, July.
    2. Carlos Berdejó & Daniel L. Chen, 2017. "Electoral Cycles among US Courts of Appeals Judges," Journal of Law and Economics, University of Chicago Press, vol. 60(3), pages 479-496.
    3. Bullock, John G. & Gerber, Alan S. & Hill, Seth J. & Huber, Gregory A., 2015. "Partisan Bias in Factual Beliefs about Politics," Quarterly Journal of Political Science, now publishers, vol. 10(4), pages 519-578, December.
    4. Achen, Christopher H., 1975. "Mass Political Attitudes and the Survey Response," American Political Science Review, Cambridge University Press, vol. 69(4), pages 1218-1231, December.
    5. Ansolabehere, Stephen & Rodden, Jonathan & Snyder, James M., 2008. "The Strength of Issues: Using Multiple Measures to Gauge Preference Stability, Ideological Constraint, and Issue Voting," American Political Science Review, Cambridge University Press, vol. 102(2), pages 215-232, May.
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