Loglinear Multidimensional IRT Models for Polytomously Scored Items.

Kelderman, Henk; Rijkes, Carl P. M.

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Peer reviewed

ERIC Number: EJ488855

Record Type: Journal

Publication Date: 1994

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0033-3123

EISSN: N/A

Loglinear Multidimensional IRT Models for Polytomously Scored Items.

Kelderman, Henk; Rijkes, Carl P. M.

Psychometrika, v59 n2 p149-76 Jun 1994

A loglinear item response theory (IRT) model is proposed that relates polytomously scored item responses to a multidimensional latent space. The analyst may specify a response function for each response, and each item may have a different number of response categories. Conditional maximum likelihood estimates are derived. (SLD)

Descriptors: Equations (Mathematics), Estimation (Mathematics), Goodness of Fit, Item Response Theory, Maximum Likelihood Statistics, Multidimensional Scaling, Scores, Statistical Studies, Test Items

Publication Type: Reports - Research; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A