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ERIC Number: EJ607467
Record Type: Journal
Publication Date: 1999
Pages: N/A
Abstractor: N/A
Reference Count: N/A
ISSN: ISSN-1076-9986
Applications and Extensions of MCMC in IRT: Multiple Item Types, Missing Data, and Rated Responses.
Patz, Richard J.; Junker, Brian W.
Journal of Educational and Behavioral Statistics, v24 n4 p342-66 Win 1999
Extends the basic Markov chain Monte Carlo (MCMC) strategy of R. Patz and B. Junker (1999) for Bayesian inference in complex Item Response Theory settings to address issues such as nonresponse, designed missingness, multiple raters, guessing behaviors, and partial credit (polytomous) test items. Applies the MCMC method to data from the National Assessment of Educational Progress. (SLD)
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A