Urban School District Performance: A Longitudinal Analysis of Achievement

Autor:	Yan Wang, Karen Ramlackhan
Rok vydání:	2021
Předmět:	Urban Studies Race (biology) media_common.quotation_subject Critical race theory Mathematics education School district Racism Social justice Data archive Education media_common
Zdroj:	Urban Education. :004208592110449
ISSN:	1552-8340 0042-0859
DOI:	10.1177/00420859211044947
Popis:	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 growth trajectories for urban student achievement from the third to the eighth grade. Two and three growth patterns were observed for ELA and Math achievement, respectively, over time. We used the critical theoretical framework QuantCrit to centralize race in the analysis of the data and shared implications for future research.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a8fec324aecda015c157ac23e596166a https://doi.org/10.1177/00420859211044947 Zobrazit plný text záznamu