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Beta Regression Finite Mixture Models of Polarization and Priming

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dc.contributor.authorSmithson, Michael
dc.contributor.authorMerkle, Edgar
dc.contributor.authorVerkuilen, Jay
dc.date.accessioned2015-12-07T22:27:40Z
dc.date.issued2011
dc.date.updated2016-02-24T11:34:46Z
dc.description.abstractThis 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.
dc.identifier.issn1076-9986
dc.identifier.urihttp://hdl.handle.net/1885/21998
dc.publisherSage Publications Inc
dc.sourceJournal of Educational and Behavioral Statistics
dc.subjectKeywords: anchoring; beta distribution; mixture model; polarization; priming
dc.titleBeta Regression Finite Mixture Models of Polarization and Priming
dc.typeJournal article
local.bibliographicCitation.issue6
local.bibliographicCitation.lastpage831
local.bibliographicCitation.startpage804
local.contributor.affiliationSmithson, Michael, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationMerkle, Edgar, Wichita State University
local.contributor.affiliationVerkuilen, Jay, City University of New York
local.contributor.authoruidSmithson, Michael, u9700675
local.description.notesImported from ARIES
local.identifier.absfor179999 - Psychology and Cognitive Sciences not elsewhere classified
local.identifier.absseo970117 - Expanding Knowledge in Psychology and Cognitive Sciences
local.identifier.ariespublicationu5139959xPUB19
local.identifier.citationvolume36
local.identifier.doi10.3102/1076998610396893
local.identifier.scopusID2-s2.0-82455186429
local.identifier.thomsonID000297560900006
local.type.statusPublished Version

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