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Direct linkKaren Ramlackhan; Yan Wang – Urban Education, 2024
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…
Descriptors: Urban Schools, Academic Achievement, Mathematics Education, English Curriculum
Compton-Lilly, Catherine – Urban Education, 2020
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…
Descriptors: Aggression, Poverty, Disadvantaged Schools, Longitudinal Studies
