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Applications and Extensions of MCMC in IRT: Multiple Item Types, Missing Data, and Rated Responses.
- Source :
-
Journal of Educational and Behavioral Statistics . Win 1999 24(4):342-366. - Publication Year :
- 1999
-
Abstract
- 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)
Details
- Language :
- English
- ISSN :
- 1076-9986
- Volume :
- 24
- Issue :
- 4
- Database :
- ERIC
- Journal :
- Journal of Educational and Behavioral Statistics
- Publication Type :
- Academic Journal
- Accession number :
- EJ607467
- Document Type :
- Journal Articles<br />Reports - Evaluative