Measuring race : why disaggregating data matters for addressing educational inequality
(Book)

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Published
New York, NY : Teachers College Press, [2020].
Physical Desc
xxii, 217 pages ; 24 cm
Appears on list
Status
Community College of Aurora - CentreTech - BOOKS  1 available
LC213.2 .M448 2020

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Community College of Aurora - CentreTech - BOOKSLC213.2 .M448 2020On Shelf

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Format
Book
Language
English
ISBN
9780807763605, 9780807763612

Notes

Bibliography
Includes bibliographical references and index.
Description
"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"--,Provided by publisher.

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Citations

APA Citation, 7th Edition (style guide)

Curammeng, E. R., Nguyen, B. M. D., Alcantar, C. M., & Teranishi, R. T. (2020). Measuring race: why disaggregating data matters for addressing educational inequality . Teachers College Press.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Edward R., Curammeng et al.. 2020. Measuring Race: Why Disaggregating Data Matters for Addressing Educational Inequality. New York, NY: Teachers College Press.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Edward R., Curammeng et al.. Measuring Race: Why Disaggregating Data Matters for Addressing Educational Inequality New York, NY: Teachers College Press, 2020.

MLA Citation, 9th Edition (style guide)

Curammeng, Edward R.,, Bach Mai Dolly Nguyen, Cynthia M Alcantar, and Robert T. Teranishi. Measuring Race: Why Disaggregating Data Matters for Addressing Educational Inequality Teachers College Press, 2020.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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