Rasch Models in Latent Classes: An Integration of Two Approaches to Item Analysis.

Rost, Jurgen

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Peer reviewed

ERIC Number: EJ430697

Record Type: Journal

Publication Date: 1990

Pages: N/A

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ISSN: ISSN-0146-6216

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Rasch Models in Latent Classes: An Integration of Two Approaches to Item Analysis.

Rost, Jurgen

Applied Psychological Measurement, v14 n3 p271-82 Sep 1990

Combining Rasch and latent class models is presented as a way to overcome deficiencies and retain the positive features of both. An estimation algorithm is outlined, providing conditional maximum likelihood estimates of item parameters for each class. The model is illustrated with simulated data and real data (n=869 adults). (SLD)

Descriptors: Adults, Algorithms, Computer Simulation, Equations (Mathematics), Estimation (Mathematics), Item Analysis, Item Response Theory, Mathematical Models, Maximum Likelihood Statistics, Test Items

Publication Type: Journal Articles; Reports - Evaluative

Education Level: N/A

Audience: N/A

Language: English

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