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

Chen, Daniel L., Cavaillé, Charlotte and Van Der Straeten, Karine (2019) A Decision-Theoretic Approach to Understanding Survey Response: Likert vs. Quadratic Voting for Attitudinal Research. University of Chicago Law Review. (In Press)

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Official URL: http://tse-fr.eu/pub/123285

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.

Item Type: Article
Language: English
Date: 2019
Refereed: Yes
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 20 Aug 2019 09:38
Last Modified: 08 Oct 2019 23:00
["eprint_fieldname_oai_identifier" not defined]: oai:tse-fr.eu:123285
URI: http://publications.ut-capitole.fr/id/eprint/32655

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