Robust Growth Curve Modeling Using Conditional Medians

Traditional growth curve modeling assumes that data are normally distributed. When the normality assumption is violated, model estimation results cannot be trusted. In this study, we propose a robust Bayesian approach for growth curve modeling using conditional medians. Monte Carlo simulations show that the proposed method outperforms the traditional method.