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Bayesian Estimation of Circumplex Models Subject to Prior Theory Constraints and Scale-Usage Bias
dc.contributor.authorLenk, Peter J.en_US
dc.contributor.authorWedel, Michelen_US
dc.contributor.authorBöckenholt, Ulfen_US
dc.date.accessioned2006-09-08T21:33:30Z
dc.date.available2006-09-08T21:33:30Z
dc.date.issued2006-03-16en_US
dc.identifier.citationLenk, Peter; Wedel, Michel; Böckenholt, Ulf; (2006). "Bayesian Estimation of Circumplex Models Subject to Prior Theory Constraints and Scale-Usage Bias." Psychometrika (): -. <http://hdl.handle.net/2027.42/43547>en_US
dc.identifier.issn0033-3123en_US
dc.identifier.issn1860-0980en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/43547
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=20046841&dopt=citationen_US
dc.description.abstractThis paper presents a hierarchical Bayes circumplex model for ordinal ratings data. The circumplex model was proposed to represent the circular ordering of items in psychological testing by imposing inequalities on the correlations of the items. We provide a specification of the circumplex, propose identifying constraints and conjugate priors for the angular parameters, and accommodate theory-driven constraints in the form of inequalities. We investigate the performance of the proposed MCMC algorithm and apply the model to the analysis of value priorities data obtained from a representative sample of Dutch citizens.en_US
dc.format.extent227482 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; The Psychometric Society ; Springer Science+Business Mediaen_US
dc.subject.otherPsychologyen_US
dc.subject.otherPsychometricsen_US
dc.subject.otherStatistical Theory and Methodsen_US
dc.subject.otherAssessment, Testing and Evaluationen_US
dc.subject.otherStatistics for Social Science, Behavorial Science, Education, Public Policy, and Lawen_US
dc.subject.otherBayesian Inferenceen_US
dc.subject.otherCircumplex Correlationsen_US
dc.subject.otherInequality Constraintsen_US
dc.subject.otherLatent Variablesen_US
dc.subject.otherOrdinal Scalesen_US
dc.titleBayesian Estimation of Circumplex Models Subject to Prior Theory Constraints and Scale-Usage Biasen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, Michigan; The University of Michigan, 701 Tappan Street, Ann Arbor, MI, 48109-1234, USAen_US
dc.contributor.affiliationumUniversity of Michigan, Michiganen_US
dc.contributor.affiliationotherMcGill University, Montrealen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid20046841en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/43547/1/11336_2001_Article_958.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s11336-001-0958-4en_US
dc.identifier.sourcePsychometrikaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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