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A Decision-Theoretic Approach to Understanding Survey Response: Likert vs. Quadratic Voting for Attitudinal Research

Author

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  • Charlotte Cavaillé

    (GU - Georgetown University [Washington])

  • Daniel L. Chen

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Karine van Der Straeten

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

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.

Suggested Citation

  • Charlotte Cavaillé & Daniel L. Chen & Karine van Der Straeten, 2019. "A Decision-Theoretic Approach to Understanding Survey Response: Likert vs. Quadratic Voting for Attitudinal Research," Post-Print hal-03162149, HAL.
    • Handle: RePEc:hal:journl:hal-03162149
    Note: View the original document on HAL open archive server: https://hal.science/hal-03162149
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    Cited by:

    1. Cavaillé, Charlotte & Chen, Daniel L. & Van Der Straeten, Karine, 2022. "Who Cares? Measuring Preference Intensity in a Polarized Environment," TSE Working Papers 22-1297, Toulouse School of Economics (TSE).
    2. Cavaillé, Charlotte & Chen, Daniel L. & Van Der Straeten, Karine, 2022. "Who Cares? Measuring Preference Intensity in a Polarized Environment," IAST Working Papers 22-130, Institute for Advanced Study in Toulouse (IAST).
    3. Charlotte Cavaillé & Daniel L. Chen & Karine van Der Straeten, 2022. "Who cares? Measuring preference intensity in a polarized environment," Working Papers hal-03624597, HAL.

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