Comparing Bayesian and Maximum Likelihood Predictors in Structural Equation Modeling of Children’s Lifestyle Index

Comparing Bayesian and Maximum Likelihood Predictors in Structural Equation Modeling of Children’s Lifestyle Index

Several factors may influence children’s lifestyle. The main purpose of this study is to introduce a children’s lifestyle index framework and model it based on structural equation modeling (SEM) with Maximum likelihood (ML) and Bayesian predictors. This framework includes parental socioeconomic stat...

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Bibliographic Details
Main Authors: Che Wan Jasimah bt Wan Mohamed Radzi, Huang Hui, Hashem Salarzadeh Jenatabadi
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:Symmetry
Subjects:
Bayesian structural equation modeling
public health
maximum likelihood structural equation modeling
Gibbs sampler algorithm
Online Access:http://www.mdpi.com/2073-8994/8/12/141

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