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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
Catherine Kramarczuk Voulgarides – Urban Education, 2025
I provide a broad frame for understanding racial disproportionality in special education by showing how the inequity is a byproduct of the educational debt. I used a single case study design that relied upon qualitative semi-structured interviews, document analyses, and school board meeting transcripts gathered from a mid-sized urban school…
Descriptors: Racial Differences, Disproportionate Representation, Special Education, Equal Education
