Dear Colleagues,
I'm looking for a good book, which will teach me to do Bayesian SEM in R. So far, I've found two:
https://www.amazon.com/Bayesian-Structural-Equation-Modeling-Methodology/dp/1462547745
and
https://www.amazon.com/Advanced-Bayesian-Structural-Equation-Modeling/dp/0470669527
I'm not very familiar with SEM (I know a thing or two, but I've never performed an analysis by myself), and I'm a psychologist, not a mathematician, so I'd prefer the book to be mostly written in Latin alphabet, not Greek letters and numbers ;)
cheers,
Maciek
Hi, Maciek,
Here are some papers about Bayesian SEM. I hope these papers will help you understand it more simply. The purpose of these papers is to provide an accessible introduction to Bayesian structural equation modeling (SEM) as an important alternative to conventional frequents approaches to SEM.
Kaplan, D., & Depaoli, S. (2012). Bayesian structural equation modeling.
Muthén, B., & Asparouhov, T. (2012). Bayesian structural equation modeling: a more flexible representation of substantive theory. Psychological methods, 17(3), 313.
MacCallum, R. C., Edwards, M. C., & Cai, L. (2012). Hopes and cautions in implementing Bayesian structural equation modeling.
Merkle, E. C., Fitzsimmons, E., Uanhoro, J., & Goodrich, B. (2021). Efficient Bayesian structural equation modeling in Stan. Journal of Statistical Software, 100(6), 1–22.
Merkle, E. C., & Rosseel, Y. (2018). blavaan: Bayesian structural equation models via parameter expansion. Journal of Statistical Software, 85(4), 1–30.