Detecting Model Misspecification in Bayesian Piecewise Growth Models with Missing Data: Sensitivity of Model Fit and Selection Indices

We examined the performance of Bayesian model fit and selection indices (PPP, BCFI, BTLI, BRMSEA, BIC, and DIC) to evaluate the performance of these indices in the context of model misspecification and missing data. We discuss results across various conditions of sample size, missing data, knot location, and prior specification.