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The Mixed-Coefficients Multinomial Logit Model: A Generalized Form of the Rasch Model

  • Raymond J. Adams
  • Margaret L. Wu
Chapter
Part of the Statistics for Social and Behavioral Sciences book series (SSBS)

Abstract

Since Rasch’s introduction of his item response models (Rasch, 1960), there has been a proliferation of extensions and alternatives, each of which has a different name and different matching software package. As Adams, Wilson, & Wang (1997) pointed out, the proliferation of models has, in some ways, been a hindrance to practitioners. This paper presents a generalized item response model that provides a unifying framework for a large class of Rasch-type models. The advantages of a single framework include mathematical elegance, generality in a single software package, and a facilitation of the development, testing, and comparison of new models.

Keywords

Item Parameter Multivariate Normal Distribution Design Matrice Multinomial Logit Model Item Response 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, LLC 2007

Authors and Affiliations

  • Raymond J. Adams
    • 1
  • Margaret L. Wu
    • 1
  1. 1.University of MelbourneMelbourneAustralia

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