A Bayesian Approach to Confirmatory Factor Analysis
Copyright policy )A Bayesian Approach to Confirmatory Factor Analysis
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.
- Chinese University of Hong Kong China (People's Republic of)
Numerical optimization and variational techniques, longitudinal data, conjugate family, Bayesian inference, Monte Carlo methods, maximum likelihood estimation, Factor analysis and principal components; correspondence analysis, prior distributions, simulation, posterior density function
Numerical optimization and variational techniques, longitudinal data, conjugate family, Bayesian inference, Monte Carlo methods, maximum likelihood estimation, Factor analysis and principal components; correspondence analysis, prior distributions, simulation, posterior density function
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