This study investigated the extent to which class-specific parameter estimates are biased by the within-class normality assumption in nonnormal growth mixture modeling (GMM). Monte Carlo simulations for nonnormal GMM were conducted to analyze and compare two strategies for obtaining unbiased parameter estimates: relaxing the within-class normality…

Despite broad applications of growth curve models, few studies have dealt with a practical issue -- nonnormality of data. Previous studies have used Student's "t" distributions to remedy the nonnormal problems. In this study, robust distributional growth curve models are proposed from a semiparametric Bayesian perspective, in which…

Do schools reduce or perpetuate inequality by race and family income? Most studies conclude that schools play only a small role in explaining socioeconomic and racial disparities in educational outcomes, but they usually draw this conclusion based solely on test scores. We reconsider this finding using longitudinal data on test scores and…