APS
2024 APS Annual Convention
Model Fit Assessment of Bayesian Structural Equation Modeling
This symposium explores the critical aspect of Bayesian SEM by delving into model fit and selection indices, addressing challenges of under-fitting, over-fitting, measurement error, and missing data. Attendees will gain guidance on the trade-off between accuracy and simplicity, contributing to the refinement of Bayesian SEM methodologies.
Chairs & Discussants
- Haiyan LiuChair
University of California, Merced - Sarah DepaoliDiscussant
University of California, Merced
Presentations
- Evaluating Bayesian SEM Selection and Fit Indices in the Presence of Under- or over-FittingSonja Winter
- Advances in Detecting Misfit in Bayesian Piecewise Growth Curve ModelsIhnwhi Heo
- Misspecification in Bayesian Latent Mediation Analysis: An Exploration of Bayesian Fit and Comparison Fit Indices Haiyan Liu