An Evaluation of a Markov Chain Monte Carlo Method for the Two-Parameter Logistic Model [electronic resource] / Seock-Ho Kim and Allan S. Cohen.

The accuracy of the Markov Chain Monte Carlo (MCMC) procedure Gibbs sampling was considered for estimation of item parameters of the two-parameter logistic model. Data for the Law School Admission Test (LSAT) Section 6 were analyzed to illustrate the MCMC procedure. In addition, simulated data sets...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Author:	Kim, Seock-Ho
Other Authors:	Cohen, Allan S.
Format:	Electronic eBook
Language:	English
Published:	[S.l.] : Distributed by ERIC Clearinghouse, 1998.
Subjects:	Bayesian Statistics. Estimation (Mathematics) Higher Education. Markov Processes. Maximum Likelihood Statistics. Monte Carlo Methods.