Beta Regression Finite Mixture Models of Polarization and Priming

Michael Smithson, Edgar C. Merkle and Jay Verkuilen
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Michael Smithson: The Australian National University
Edgar C. Merkle: Wichita State University
Jay Verkuilen: Graduate Center, City University of New York

Journal of Educational and Behavioral Statistics, 2011, vol. 36, issue 6, 804-831

Abstract: This paper describes the application of finite-mixture general linear models based on the beta distribution to modeling response styles, polarization, anchoring, and priming effects in probability judgments. These models, in turn, enhance our capacity for explicitly testing models and theories regarding the aforementioned phenomena. The mixture model approach is superior in this regard to popular methods such as extremity scores, due to its incorporation of three submodels (location, dispersion, and relative composition), each of which can diagnose specific kinds of polarization and related effects. Three examples are elucidated using real data sets.

Keywords: beta distribution; mixture model; polarization; priming; anchoring (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:36:y:2011:i:6:p:804-831

DOI: 10.3102/1076998610396893

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