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ERIC Number: EJ1067649
Record Type: Journal
Publication Date: 2015-Aug
Pages: 25
Abstractor: As Provided
ISSN: ISSN-0013-1644
Using SAS PROC MCMC for Item Response Theory Models
Ames, Allison J.; Samonte, Kelli
Educational and Psychological Measurement, v75 n4 p585-609 Aug 2015
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.
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A