Measuring race : why disaggregating data matters for addressing educational inequality / edited by Robert T. Teranishi, Bach Mai Dolly Nguyen, Cynthia M. Alcantar, Edward R. Curammeng.
"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"-...
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| Online Access: |
Full Text (via EBSCO) |
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| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Teachers College Press,
[2020]
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| Series: | Multicultural education series (New York, N.Y.)
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| Subjects: |
| Summary: | "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"-- |
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| Physical Description: | 1 online resource (xxii, 217 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0807778435 9780807778432 |
| Source of Description, Etc. Note: | Description based on online resource; title from digital title page (viewed on April 28, 2020) |