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A Straightforward Approach to Markov Chain Monte Carlo Methods for Item Response Models.
- Source :
-
Journal of Educational and Behavioral Statistics . Sum 1999 24(2):146-178. - Publication Year :
- 1999
-
Abstract
- Demonstrates Markov chain Monte Carlo (MCMC) techniques that are well-suited to complex models with Item Response Theory (IRT) assumptions. Develops an MCMC methodology that can be routinely implemented to fit normal IRT models, and compares the approach to approaches based on Gibbs sampling. Contains 64 references. (SLD)
Details
- Language :
- English
- ISSN :
- 1076-9986
- Volume :
- 24
- Issue :
- 2
- Database :
- ERIC
- Journal :
- Journal of Educational and Behavioral Statistics
- Publication Type :
- Academic Journal
- Accession number :
- EJ590625
- Document Type :
- Journal Articles<br />Reports - Descriptive