A Multilevel Mixture IRT Model with an Application to DIF

Autor/inn/en	Cho, Sun-Joo; Cohen, Allan S.
Titel	A Multilevel Mixture IRT Model with an Application to DIF
Quelle	In: Journal of Educational and Behavioral Statistics, 35 (2010) 3, S.336-370 (35 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998609353111
Schlagwörter	Simulation; Mathematics Tests; Item Response Theory; Student Behavior; Models; Evaluation Methods; Regression (Statistics); Equations (Mathematics); Comparative Analysis + Suchen Sie Ihr Suchwort? Simulation program; Simulationsprogramm; Item-Response-Theorie; Student behaviour; Schülerverhalten; Analogiemodell; Regression; Regressionsanalyse; Equations; Mathematics; Gleichungslehre
Abstract	Mixture item response theory models have been suggested as a potentially useful methodology for identifying latent groups formed along secondary, possibly nuisance dimensions. In this article, we describe a multilevel mixture item response theory (IRT) model (MMixIRTM) that allows for the possibility that this nuisance dimensionality may function differently at different levels. A MMixIRT model is described that enables simultaneous detection of differences in latent class composition at both examinee and school levels. The MMixIRTM can be viewed as a combination of an IRT model, an unrestricted latent class model, and a multilevel model. A Bayesian estimation of the MMixIRTM is described including analysis of label switching, use of priors, and model selection strategies. Results of a simulation study indicated that the generated parameters were recovered very well for the conditions considered. Use of MMixIRTM also was illustrated with the standardized mathematics test. (Contains 10 tables and 3 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10