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Psychometrika

, Volume 48, Issue 1, pp 85–97 | Cite as

A general framework for using latent class analysis to test hierarchical and nonhierarchical learning models

  • David Rindskopf
Article

Abstract

Several articles in the past fifteen years have suggested various models for analyzing dichotomous test or questionnaire items which were constructed to reflect an assumed underlying structure. This paper shows that many models are special cases of latent class analysis. A currently available computer program for latent class analysis allows parameter estimates and goodness-of-fit tests not only for the models suggested by previous authors, but also for many models which they could not test with the more specialized computer programs they developed. Several examples are given of the variety of models which may be generated and tested. In addition, a general framework for conceptualizing all such models is given. This framework should be useful for generating models and for comparing various models.

Key words

latent class analysis latent structure analysis Guttman models 

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Reference Notes

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    Clogg, C. C.Unrestricted and restricted maximum likelihood latent structure analysis: A manual for users. University Park, PA: Population Issues Research Office, 1978.Google Scholar
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    Haertel, E. Personal communication, 1979.Google Scholar

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Copyright information

© The Psychometric Society 1983

Authors and Affiliations

  • David Rindskopf
    • 1
  1. 1.Educational PsychologyCity University of New York Graduate CenterNew York

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