Robust Bayesian growth curve modeling: A tutorial using JAGS
Keywords:Robust Growth Curve Modeling, Bayesian Estimation, Structural Equation Modeling, JAGS
Latent growth curve models (LGCM) are widely used in longitudinal data analysis, and robust methods can be used to model error distributions for non-normal data. This tutorial introduces how to model
linear, non-linear, and quadratic growth curve models under the Bayesian framework and uses examples to illustrate how to model errors using t, exponential power, and skew-normal distributions. The code of JAGS models is provided and implemented by the R package runjags. Model diagnostics and comparisons are briefly discussed.