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ERIC Number: EJ633924
Record Type: Journal
Publication Date: 2001
Pages: N/A
Abstractor: N/A
Reference Count: N/A
ISSN: ISSN-0146-6216
An Evaluation of a Markov Chain Monte Carlo Method for the Rasch Model.
Kim, Seock-Ho
Applied Psychological Measurement, v25 n2 p163-76 Jun 2001
Examined the accuracy of the Gibbs sampling Markov chain Monte Carlo procedure for estimating item and person (theta) parameters in the one-parameter logistic model. Analyzed four empirical datasets using the Gibbs sampling, conditional maximum likelihood, marginal maximum likelihood, and joint maximum likelihood methods. Discusses the conditions under which Gibbs sampling is useful. (SLD)
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A