A Bayesian Method for Model Optimization in Structural Equation Models with Mixed Continuous and Ordered Categorical Data

Abstract:

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In this paper, a Bayesian criterion-based method called the Lv measure, as well as its calibration distribution, is introduced and applied to model optimization of structural equation models with mixed continuous and categorical data. A simulation study is presented to illustrate the satisfactory performance of the Lv measure in model optimization.

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Periodical:

Edited by:

Wu Fan

Pages:

2655-2661

DOI:

10.4028/www.scientific.net/AMM.110-116.2655

Citation:

Y. X. Li "A Bayesian Method for Model Optimization in Structural Equation Models with Mixed Continuous and Ordered Categorical Data", Applied Mechanics and Materials, Vols. 110-116, pp. 2655-2661, 2012

Online since:

October 2011

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$35.00

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