Hypothesis Testing and Model Comparison in Two-level Structural Equation Models

Multivariate Behavioral Research
Sik-Yum Lee, X Y Song

Abstract

One basic and important problem in two-level structural equation modeling is to find a good model for the observed sample data. This article demonstrates the use of the well-known Bayes factor in the Bayesian literature for hypothesis testing and model comparison in general two-level structural equation models. It is shown that the proposed methodology is flexible, and can be applied to situations with a wide variety of nonnested models. Moreover, some problems encountered in using existing methods for goodness-of-fit assessment of the proposed model can be alleviated. An illustrative example with some real data from an AIDS care study is presented.

References

May 1, 1992·The British Journal of Mathematical and Statistical Psychology·S Y Lee, W Y Poon
Jan 31, 2002·The British Journal of Mathematical and Statistical Psychology·X Y Song, S Y Lee

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Citations

Apr 1, 2005·Multivariate Behavioral Research·Xin-Yuan Song, Sik-Yum Lee
Oct 1, 2002·Multivariate Behavioral Research·Xin-Yuan Song, Sik-Yum Lee
Jan 1, 2003·Multivariate Behavioral Research·Xin-Yuan Song, Sik-Yum Lee

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