Measuring Race

Why Disaggregating Data Matters for Addressing Educational Inequality

AvRobert T. Teranishi,Bach Mei Dolly

Häftad, Engelska, 2020

Del i serien Multicultural Education Series

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Beskrivning

The United States demography is changing rapidly. How are we capturing these shifts? Do the racial categories that exist accurately represent the individuals who fall into them? Have long-standing categories hindered our understanding of racial inequality? These questions are particularly significant in education, where a precise view of students—who achieves and who requires greater resources—is critical. This volume brings together the expertise of scholars from a range of disciplines to explore the current state of racial heterogeneity, data practice, and educational inequality. They offer recommendations to guide future research, practice, and policy with the goal of better understanding and meeting the needs of our diverse student population in the years to come.Book Features:Contributes both conceptual and practical knowledge toward understanding the relevance of data practices that impact racial inequality—important for both researchers and practitioners.Highlights the relevance of racial heterogeneity broadly, but also its significance for particular racial groups—for example, Pacific Islanders and mixed-race/multiracial students—who are largely understudied.Offers recommendations that include the importance of promoting collaboration between researchers, advocates, practitioners, and policymakers.

Produktinformation

Utgivningsdatum:2020-03-20
Mått:154 x 228 x 12 mm
Vikt:335 g
Format:Häftad
Språk:Engelska
Serie:Multicultural Education Series
Antal sidor:240
Förlag:Teachers' College Press
ISBN:9780807763605

Utforska kategorier

Utbildningsstrategier och utbildningspolitik inom Psykologi och pedagogik

Mer om författaren

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.

Innehållsförteckning

ContentsSeries Foreword viiJames A. BanksPreface: Race: American Education’s Inescapable Conundrum xiiiWalter R. Allen1. Introduction 1Bach Mai Dolly Nguyen and Robert T. TeranishiPart I: Conceptual Considerations of Racial Heterogeneity2. Who’s Black? Hybridity, Complexity, and Fluidity in 21st-Century Racial Identity 15Gloria Ladson-Billings3. Latinos in the American Racial Hierarchy: The Complexities of Identity and Group Formation 29Luis Ricardo Fraga and Nicole Perez4. Panethnicity and Ethnic Heterogeneity: The Politics of Lumping and Disaggregating Asian Americans and Pacific Islanders in Educational Policy 46Michael Omi, Mike Hoa Nguyen, and Jason Chan5. The ”Invisible” Minority: Finding a Sense of Belonging After Imperialism, Colonialism, and (Im)migration for Native Hawaiian and Pacific Islanders in the United States 67‘Inoke Hafoka, Kēhaulani Vaughn, Iosefa Aina, and Cynthia M. Alcantar6. Draw Your Own Box? Further Complicating Racial Data for Multiracial/Two or More Races College Students 84Marc P. Johnston-Guerrero and Karly Sarita FordPart II: Unmasking Educational Inequality Through Disaggregated Data7. Similar, But Not the Same: Considering the Intersections of Race, Ethnicity, and Immigrant Status in the Lives of Black Students 103Kimberly A. Griffin and Chrystal A. George Mwangi8. Beyond Reservations: Exploring Diverse Backgrounds and Tribal Citizenship Among Native College Students 119Heather J. Shotton9. The Mismeasure of Native American Students: Using Data Disaggregation to Promote Identity Safety 131Laura M. Brady, Zoe Higheagle Strong, and Stephanie A. Fryberg10. More Than Nuance: Recognizing and Serving the Diversity of the Latinx Community 154Desiree D. Zerquera, Jasmine Haywood, and MartÍn De Mucha11. Data Quality in the Evaluation of Latino Student Success 170Stella M. Flores, Brian Holzman, and Leticia OsegueraConclusion 195Robert T. TeranishiAbout the Editors and Contributors 202Index 207