NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
ERIC Number: EJ633924
Record Type: Journal
Publication Date: 2001
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: ISSN-0146-6216
EISSN: N/A
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)
Descriptors: Ability, Estimation (Mathematics), Item Response Theory, Markov Processes, Maximum Likelihood Statistics, Monte Carlo Methods
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A