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A Bayesian Approach to Confirmatory Factor Analysis

Published online by Cambridge University Press:  01 January 2025

Sik-Yum Lee
Sik-Yum Lee*
Affiliation:
The Chinese University of Hong Kong
*
Requests for reprints should be sent to S. Y. Lee, 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.

Keywords

conjugate familyprior distributionsposterior density functionmaximum likelihood estimationlongitudinal datasimulation study

Information

Type
Original Paper
Information
Psychometrika , Volume 46 , Issue 2 , June 1981 , pp. 153 - 160
Copyright
Copyright © 1981 The Psychometric Society

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Footnotes

Computer facilities were provided by the Computer Services Center, The Chinese University of Hong Kong.

References

Reference Note

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