Measuring Race: Why Disaggregating Data Matters for Addressing Educational Inequality (Multicultural Education)

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.Contributors: Iosefa Aina, Laura M. Brady, Jason Chan, Martin de Mucha Flores, Stella M. Flores, Karly Ford, Luis Ricardo Fraga, Stephanie A. Fryberg, Kimberly A. Griffin, 'Inoke Hafoka, Jasmine Haywood, Zoe Higheagle Strong, Brian Holzman, Marc P. Johnston-Guerrero, Gloria Ladson-Billings, Chrystal A. George Mwangi, Mike Hoa Nguyen, Michael Omi, Nicole A. Perez, Heather Shotton, Kēhaulani Vaughn, Desiree D. Zerquera Read more