Evaluation of the Bayesian and maximum likelihood approaches in analyzing structural equation models with small sample sizes
Publication in refereed journal


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摘要The main objective of this article is to investigate the empirical performances of the Bayesian approach in analyzing structural equation models with small sample sizes. The traditional maximum likelihood (ML) is also included for comparison. In the context of a confirmatory factor analysis model and a structural equation model, simulation studies are conducted with the different magnitudes of parameters and sample sizes n = da, where d = 2, 3, 4 and 5, and a is the number of unknown parameters. The performances are evaluated in terms of the goodness-of-fit statistics, and various measures on the accuracy of the estimates. The conclusion is: for data that are normally distributed, the Bayesian approach can be used with small sample sizes, whilst ML cannot.
著者Lee SY, Song XY
期刊名稱Multivariate Behavioral Research
出版年份2004
月份1
日期1
卷號39
期次4
出版社LAWRENCE ERLBAUM ASSOC INC
頁次653 - 686
國際標準期刊號0027-3171
語言英式英語
Web of Science 學科類別Mathematical Methods In Social Sciences; Mathematics; Mathematics, Interdisciplinary Applications; MATHEMATICS, INTERDISCIPLINARY APPLICATIONS; Psychology; Psychology, Experimental; PSYCHOLOGY, EXPERIMENTAL; Social Sciences, Mathematical Methods; SOCIAL SCIENCES, MATHEMATICAL METHODS; Statistics & Probability; STATISTICS & PROBABILITY

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