Recovery of Item Parameters in the Nominal Response Model: A Comparison of Marginal Maximum Likelihood Estimation and Markov Chain Monte Carlo Estimation.

Wollack, James A.; Bolt, Daniel M.; Cohen, Allan S.; Lee, Young-Sun

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Peer reviewed

ERIC Number: EJ660253

Record Type: Journal

Publication Date: 2002

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ISSN: ISSN-0146-6216

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Recovery of Item Parameters in the Nominal Response Model: A Comparison of Marginal Maximum Likelihood Estimation and Markov Chain Monte Carlo Estimation.

Wollack, James A.; Bolt, Daniel M.; Cohen, Allan S.; Lee, Young-Sun

Applied Psychological Measurement, v26 n3 p339-52 Sep 2002

Compared the quality of item parameter estimates for marginal maximum likelihood (MML) and Markov Chain Monte Carlo (MCMC) with the nominal response model using simulation. The quality of item parameter recovery was nearly identical for MML and MCMC, and both methods tended to produce good estimates. (SLD)

Descriptors: Estimation (Mathematics), Markov Processes, Monte Carlo Methods, Simulation

Publication Type: Journal Articles; Reports - Research

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Audience: N/A

Language: English

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