Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…

Background/Context: State-funded prekindergarten has expanded rapidly in the U.S., and there are expectations that it will have longer-term positive effects on later academic and nonacademic outcomes (e.g., Phillips et al., 2017). There is strong evidence of pre-k effects on measures of kindergarten readiness (e.g., Gormley et al., 2005; Weiland…

School suspension rates have been rising since the early 1970s, especially for children of color. One body of research has demonstrated that suspension from school is harmful to students, as it increases the risk of retention and school dropout. Another has demonstrated that school dropouts impose huge social costs on their states and localities,…

This study examined how the manifestation of overt aggression changes during early adolescence using Hierarchical Linear Modeling. The distinct courses of physical and verbal aggression identified in this study provide support for developmental transformations in overt aggression, which would have been obscured unless aggression had been defined…