We used the Stanford education data archive (SEDA) data to examine the heterogeneity among urban school districts in the United States. The SEDA 2.1 includes data sets on students' mathematics (Math) and English language arts (ELA) achievement from 2008 to 2014 at the district level. Growth mixture modeling was used to uncover the underlying…

This article reveals inequity as a longitudinal construction involving the cumulation of micro/macroaggressions for children who live in high-poverty communities and attend poorly funded schools. Drawing on critical race theory and empirical research that documents forms of micro/macroaggression, a longitudinal analysis is used to identify forms…

A 12-week, 32-lesson afterschool intervention was conducted with third-to fifth-grade urban African American boys classified as aggressive. Grounded in attribution theory and organized around the construct of perceived responsibility in self and others, the intervention focused on increasing both social skills and academic motivation. Participants…