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Model Comparison of Bayesian Semiparametric and Parametric Structural Equation Models.
- Source :
-
Structural Equation Modeling . Jan-Mar2011, Vol. 18 Issue 1, p55-72. 18p. - Publication Year :
- 2011
-
Abstract
- Structural equation models have wide applications. One of the most important issues in analyzing structural equation models is model comparison. This article proposes a Bayesian model comparison statistic, namely the Lν-measure for both semiparametric and parametric structural equation models. For illustration purposes, we consider a Bayesian semiparametric approach for estimation and model comparison in the context of structural equation models with fixed covariates. A finite dimensional Dirichlet process is used to model the crucial latent variables, and a blocked Gibbs sampler is implemented for estimation. Empirical performance of the Lν-measure is evaluated through a simulation study. Results obtained indicate that the Lν-measure, which additionally requires very minor computational effort, gives satisfactory performance. Moreover, the methodologies are demonstrated through an example with a real data set on kidney disease. Finally, the application of the Lν-measure to Bayesian semiparametric nonlinear structural equation models is outlined. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10705511
- Volume :
- 18
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Structural Equation Modeling
- Publication Type :
- Academic Journal
- Accession number :
- 57226072
- Full Text :
- https://doi.org/10.1080/10705511.2011.532720