Using SAS PROC MCMC for Item Response Theory Models

Autor/inn/en	Ames, Allison J.; Samonte, Kelli
Titel	Using SAS PROC MCMC for Item Response Theory Models
Quelle	In: Educational and Psychological Measurement, 75 (2015) 4, S.585-609 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164414551411
Schlagwörter	Item Response Theory; Bayesian Statistics; Computation; Computer Software; Models; Monte Carlo Methods + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Monte-Carlo-Methode
Abstract	Interest in using Bayesian methods for estimating item response theory models has grown at a remarkable rate in recent years. This attentiveness to Bayesian estimation has also inspired a growth in available software such as WinBUGS, R packages, BMIRT, MPLUS, and SAS PROC MCMC. This article intends to provide an accessible overview of Bayesian methods in the context of item response theory to serve as a useful guide for practitioners in estimating and interpreting item response theory (IRT) models. Included is a description of the estimation procedure used by SAS PROC MCMC. Syntax is provided for estimation of both dichotomous and polytomous IRT models, as well as a discussion on how to extend the syntax to accommodate more complex IRT models. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01