The Asymptotic Posterior Normality of the Latent Trait for Polytomous IRT Models.

Chang, Hua-Hua

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Peer reviewed

ERIC Number: EJ535129

Record Type: Journal

Publication Date: 1996

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ISSN: ISSN-0033-3123

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The Asymptotic Posterior Normality of the Latent Trait for Polytomous IRT Models.

Chang, Hua-Hua

Psychometrika, v61 n3 p445-63 Sep 1996

H. H. Chang and W. F. Stout (1993) presented a derivation of the asymptotic posterior normality of the latent trait given examinee responses under nonrestrictive nonparametric assumptions for dichotomous item response (IRT) theory models. This paper presents an extension of their results to polytomous IRT models and defines a global information function. (SLD)

Descriptors: Classification, Equations (Mathematics), Item Response Theory, Mathematical Models, Nonparametric Statistics, Reliability

Publication Type: Reports - Evaluative; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

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