Maximum Likelihood Estimation in Generalized Rasch Models.

de Leeuw, Jan; Verhelst, Norman

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Peer reviewed

ERIC Number: EJ351714

Record Type: Journal

Publication Date: 1986

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Maximum Likelihood Estimation in Generalized Rasch Models.

de Leeuw, Jan; Verhelst, Norman

Journal of Educational Statistics, v11 n3 p183-96 Fall 1986

Maximum likelihood procedures are presented for a general model to unify the various models and techniques that have been proposed for item analysis. Unconditional maximum likelihood estimation, proposed by Wright and Haberman, and conditional maximum likelihood estimation, proposed by Rasch and Andersen, are shown as important special cases. (JAZ)

Descriptors: Algorithms, Estimation (Mathematics), Item Analysis, Latent Trait Theory, Mathematical Models, Maximum Likelihood Statistics, Statistical Studies

Publication Type: Journal Articles; Reports - Research

Education Level: N/A

Audience: N/A

Language: English

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