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