DSpace at EWHA: Comparison of Scale Identification Methods in Mixture IRT Models

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DC Field	Value	Language
dc.contributor.author	최윤정	*
dc.date.accessioned	2021-08-12T16:32:20Z	-
dc.date.available	2021-08-12T16:32:20Z	-
dc.date.issued	2020	*
dc.identifier.issn	1538-9472	*
dc.identifier.other	OAK-29915	*
dc.identifier.uri	https://dspace.ewha.ac.kr/handle/2015.oak/258769	-
dc.description.abstract	The effects of three scale identification constraints in mixture IRT models were studied. A simulation study found no constraint effect on the mixture Rasch and mixture 2PL models, but the item anchoring constraint was the only one that worked well on selecting correct model with the mixture 3PL model.	*
dc.language	English	*
dc.publisher	Wayne State University	*
dc.subject	Bayesian estimation	*
dc.subject	Item response theory	*
dc.subject	MCMC	*
dc.subject	mixture models	*
dc.subject	scale identification	*
dc.title	Comparison of Scale Identification Methods in Mixture IRT Models	*
dc.type	Article	*
dc.relation.issue	1	*
dc.relation.volume	18	*
dc.relation.index	SCOPUS	*
dc.relation.startpage	1	*
dc.relation.lastpage	26	*
dc.relation.journaltitle	Journal of Modern Applied Statistical Methods	*
dc.identifier.doi	10.22237/jmasm/1556669700	*
dc.identifier.scopusid	2-s2.0-85096532241	*
dc.author.google	Choi Y.J.	*
dc.author.google	Cohen A.S.	*
dc.contributor.scopusid	최윤정(57203943483)	*
dc.date.modifydate	20240315112734	*