Measuring Race: Why Disaggregating Data Matters for Addressing Educational Inequality
English
By (author): Bach Mei Dolly Cynthia Alcantar Edward R. Curammeng Robert T. Teranishi
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 studentswho achieves and who requires greater resourcesis 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 inequalityimportant for both researchers and practitioners.
- Highlights the relevance of racial heterogeneity broadly, but also its significance for particular racial groupsfor example, Pacific Islanders and mixed-race/multiracial studentswho are largely understudied.
- Offers recommendations that include the importance of promoting collaboration between researchers, advocates, practitioners, and policymakers.