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The Growing Family of Rasch Models

  • Jürgen Rost
Part of the Lecture Notes in Statistics book series (LNS, volume 157)

Abstract

A family of Rasch models is defined in terms of the prominent properties of all Rasch models, that is, separability, sufficiency, specific objectivity, and latent additivity. It is argued that concepts such as item homogeneity, person homogeneity, and unidimensionality do not hold for all generalizations of the Rasch model (RM). Four directions of generalizing the model are discussed: the multidimensional, the ordinal polytomous, the linear logistic, and the mixture distribution generalization. A hierarchical system of generalized Rasch models is presented. Four out of these eight models are discussed in the literature and can be applied by means of reliable computer software.

Keywords

Item Response Theory Latent Trait Item Parameter Latent Class 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 2001

Authors and Affiliations

  • Jürgen Rost
    • 1
  1. 1.Institute for Science EducationUniversity of KielKielFederal Republic of Germany

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