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Measuring Race
Why Disaggregating Data Matters for Addressing Educational Inequality
Robert T. Teranishi (Author), Bach Mei Dolly (Author), Cynthia Alcantar (Author), Edward R. Curammeng (Author)
9780807763605
Paperback / softback, published 20 March 2020
240 pages
22.8 x 15.4 x 1.2 cm, 0.335 kg
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:
vii
s Inescapable Conundrum
xiii
Introduction
1
Who’
s Black?
Hybridity, Complexity, and Fluidity in 21st-Century Racial Identity
15
Latinos in the American Racial Hierarchy:
The Complexities of Identity and Group Formation
29
Panethnicity and Ethnic Heterogeneity:
The Politics of Lumping and Disaggregating Asian Americans
and Pacific Islanders in Educational Policy
46
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, Kē
haulani Vaughn, Iosefa Aina, and Cynthia M. Alcantar
Draw Your Own Box? Further Complicating Racial Data
for Multiracial/Two or More Races College Students
84
Similar, But Not the Same: Considering the Intersections of
Race, Ethnicity, and Immigrant Status in the Lives of Black Students
103
Beyond Reservations: Exploring Diverse Backgrounds and
Tribal Citizenship Among Native College Students
119
The Mismeasure of Native American Students:
Using Data Disaggregation to Promote Identity Safety
131
More Than Nuance: Recognizing and Serving
the Diversity of the Latinx Community
154
n De Mucha
Data Quality in the Evaluation of Latino Student Success
170
195
202
207