An intermediate 4-day course introducing and practicing the concepts of Advanced Structural Equation Modeling: Bayesian SEM. The goal of the Bayesian SEM is to provide instruction in the application SEM from the Bayesian paradigm. It will cover the application of models commonly implemented in frequentist SEM, and in models that are complicate or impossible to estimate in the frequentist paradigm. This seminar is design to portray the advantages of the Bayesian paradigm, both philosophical and practical, within the application of SEM.
A comprehensive 5-day Stats Camp seminar on Advanced Structural Equation Modeling: Bayesian SEM.You have a good to great understanding of structural equation modeling (SEM), maybe you have been doing traditional SEM for years, but you’ve began a project where your observations are not normally distributed, you have a small sample size, or even worse – your model is not converging! What do you do now? Bayesian SEM is your next step!