Growth curve modeling provides a general framework for analyzing longitudinal data from social, behavioral, and educational sciences. Bayesian methods have been used to estimate growth curve models, in which priors need to be specified for unknown parameters. For the covariance parameter matrix, the inverse Wishart prior is most commonly used due…

In order to shed more light on why referred girls are less likely to be diagnosed with autism spectrum disorder than boys, this study examined whether behavioral characteristics influence the probability of an autism spectrum disorder diagnosis differently in girls versus boys derived from a multicenter sample of consecutively referred children…

This article reconsiders the association between childhood arts participation and cognitive and developmental outcomes. Using data from a large, nationally representative sample with extensive covariates, we employ propensity score weighting to adjust comparisons of children who do and do not participate in arts education (music and performing…