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A Generalized Partial Credit Model

  • Eiji Muraki
Chapter

Abstract

A generalized partial credit model (GPCM) was formulated by Muraki (1992) based on Masters’ (1982, this volume) partial credit model (PCM) by relaxing the assumption of uniform discriminating power of test items. However, the difference between these models is not only the parameterization of item characteristics but also the basic assumption about the latent variable. An item response model is viewed here as a member of a family of latent variable models which also includes the linear or nonlinear factor analysis model, the latent class model, and the latent profile model (Bartholomew, 1987).

Keywords

Item Parameter Quadrature Point Latent Variable Model Item Response Model Partial Credit Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1997

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  • Eiji Muraki

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