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A bayesian approach to confirmatory factor analysis

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Abstract

Confirmatory factor analysis is considered from a Bayesian viewpoint, in which prior information on parameter is incorporated in the analysis. An iterative algorithm is developed to obtain the Bayes estimates. A numerical example based on longitudinal data is presented. A simulation study is designed to compare the Bayesian approach with the maximum likelihood method.

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Authors and Affiliations

  1. Department of Mathematics, The Chinese University of Hong Kong, Shatin, N.T., HONG KONG

    Sik-Yum Lee

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  1. Sik-Yum Lee
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Computer facilities were provided by the Computer Services Center, The Chinese University of Hong Kong.

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Lee, SY. A bayesian approach to confirmatory factor analysis. Psychometrika 46, 153–160 (1981). https://doi.org/10.1007/BF02293896

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  • DOI: https://doi.org/10.1007/BF02293896

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