Some Progress and Problems in Bayesian SEM

Dr. Edgar Merkle - University of Missouri, Department of Psychological Sciences
1107 Benjamin Building

MONDAY SYMPOSIUM IN MEASUREMENT AND STATISTICS (MSMS)
Department of Human Development and Quantitative Methodology
Fall 2021

Some Progress and Problems in Bayesian SEM
Join via Zoom

The talk will involve a combination of research and software on Bayesian structural equation models, with some material being relevant to general Bayesian modeling in psychology. I will say some things about how the blavaan package was started and where it is going in the future. Then I will say some things about research that has stemmed from development of blavaan, including some problems that are not fully solved. Topics include speed/efficiency of model estimation, methods for computing Bayesian information criteria, and methods for specifying proper prior distributions. Finally, I will discuss the collaborative work that can arise from open source software.

Dr. Ed Merkle is a Professor of Psychological Sciences at the University of Missouri. His research involves a mix of psychometric modeling and the experimentation/modeling that arises from cognitive science and mathematical psychology. His specific research includes Bayesian latent variable models, forecasting and subjective probability, psychometric measurement, and statistical modeling.