Posterior Predictive Model Checking for Multidimensionality in Item Response Theory

Autor/inn/en	Levy, Roy; Mislevy, Robert J.; Sinharay, Sandip
Titel	Posterior Predictive Model Checking for Multidimensionality in Item Response Theory
Quelle	In: Applied Psychological Measurement, 33 (2009) 7, S.519-537 (19 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621608329504
Schlagwörter	Item Response Theory; Models; Methods; Simulation; Influences; Statistical Analysis + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Method; Methode; Simulation program; Simulationsprogramm; Influence; Einfluss; Einflussfaktor; Statistische Analyse
Abstract	If data exhibit multidimensionality, key conditional independence assumptions of unidimensional models do not hold. The current work pursues posterior predictive model checking, a flexible family of model-checking procedures, as a tool for criticizing models due to unaccounted for dimensions in the context of item response theory. Factors hypothesized to influence dimensionality and dimensionality assessment are couched in conditional covariance theory and conveyed via geometric representations of multidimensionality. A simulation study investigates the performance of the model-checking tools for dichotomous observables. Key findings include support for the hypothesized effects of the manipulated factors with regard to their influence on dimensionality assessment and the superiority of certain discrepancy measures for conducting posterior predictive model checking for dimensionality assessment. (Contains 4 figures, 3 tables and 3 notes.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10