What is it about?
Conventional SEM used by frequentists are commonly used but BSEM is a more flexible approach in model estimation.
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Why is it important?
With BSEM approaches, researchers are not confined to the limited constraints in model fit. Additional BSEM using MCMC can train and optimize models to reflect a more representative results.
Perspectives
MCMC is a machine learning algorithm and using machine learning algorithms on SEM is very interesting and should be explored by social scientists.
Kok Wei Khong
University of Nottingham
Read the Original
This page is a summary of: A comparison between structural equation modelling (SEM) and Bayesian SEM approaches on in-store behaviour, Industrial Management & Data Systems, February 2018, Emerald,
DOI: 10.1108/imds-10-2016-0423.
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