Model Selection Indices for Polytomous Items

Autor/inn/en	Kang, Taehoon; Cohen, Allan S.; Sung, Hyun-Jung
Titel	Model Selection Indices for Polytomous Items
Quelle	In: Applied Psychological Measurement, 33 (2009) 7, S.499-518 (20 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621608327800
Schlagwörter	Item Response Theory; Models; Selection; Simulation; Comparative Analysis; Bayesian Statistics + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Auslese; Simulation program; Simulationsprogramm
Abstract	This study examines the utility of four indices for use in model selection with nested and nonnested polytomous item response theory (IRT) models: a cross-validation index and three information-based indices. Four commonly used polytomous IRT models are considered: the graded response model, the generalized partial credit model, the partial credit model, and the rating scale model. In a simulation study, comparisons among the four indices suggest that model selection is dependent to some extent on the particular conditions simulated. Overall, the Bayesian information criterion index appears to be most accurate in selecting the correct polytomous IRT model. Results are presented from analysis of a real data set to illustrate the use of the four indices for selecting an appropriate model. (Contains 5 tables and 3 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10