Why Disaggregating Data Matters for Addressing Educational Inequality Herausgeber: Teranishi, Robert T; Banks, James A; Curammeng, Edward R; Alcantar, Cynthia M; Nguyen, Bach Mai Dolly
Why Disaggregating Data Matters for Addressing Educational Inequality Herausgeber: Teranishi, Robert T; Banks, James A; Curammeng, Edward R; Alcantar, Cynthia M; Nguyen, Bach Mai Dolly
"Understanding the complexity of racial categories is essential for achieving equity and reducing inequality in the United States. The authors show how that by disaggregating data on race, researchers and policymakers can more fully understand how race is factored in educational settings"--
"Understanding the complexity of racial categories is essential for achieving equity and reducing inequality in the United States. The authors show how that by disaggregating data on race, researchers and policymakers can more fully understand how race is factored in educational settings"--Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Robert T. Teranishi is professor of education and codirector of the Institute for Immigration, Globalization, and Education at UCLA Graduate School of Education & Information Studies. Bach Mai Dolly Nguyen is an assistant professor of education at Oregon State University. Cynthia M. Alcantar is an assistant professor of higher education leadership at the University of Nevada, Reno. Edward R. Curammeng is assistant professor of teacher education at California State University, Dominguez Hills.
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