Bayesian Estimation and Model Selection in Ordered Latent Class Models for Polytomous Items.

van Onna, M. J. H.

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Peer reviewed

ERIC Number: EJ669054

Record Type: Journal

Publication Date: 2002

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ISSN: ISSN-0033-3123

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Bayesian Estimation and Model Selection in Ordered Latent Class Models for Polytomous Items.

van Onna, M. J. H.

Psychometrika, v67 n4 p519-38 Dec 2002

Studied whether ordered latent class models can be used as nonparametric item response theory (NIRT) models to scale polytomous models. Simulation findings show that the Bayesian estimation method presented can handle the inequality restrictions on the parameters and the sparseness of the data quite well. (SLD)

Descriptors: Bayesian Statistics, Equations (Mathematics), Estimation (Mathematics), Item Response Theory, Models, Selection, Simulation

Publication Type: Journal Articles; Reports - Research

Education Level: N/A

Audience: N/A

Language: English

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