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…

To update and extend research on teachers' expectations of students of different sociocultural groups, 57 Black, White, Asian, and Hispanic teachers were asked to evaluate responses spoken by Black, White, and Hispanic 2nd- and 3rd-grade boys and girls. The results show that responses perceived as spoken by minority boys, minority girls, and White…

Educators, administrators, and policymakers focus much attention on closing the achievement gap, and various approaches have been suggested. The present study focuses on one approach being suggested: student-teacher ethnic matching. The study focused on the long-term contributions of African American ethnic matching to mathematical test scores of…