A bayesian approach to confirmatory factor analysis |
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Authors: | Sik-Yum Lee |
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Institution: | (1) Department of Mathematics, The Chinese University of Hong Kong, Shatin, N.T., HONG KONG |
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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.Computer facilities were provided by the Computer Services Center, The Chinese University of Hong Kong. |
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Keywords: | conjugate family prior distributions posterior density function maximum likelihood estimation longitudinal data simulation study |
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