The Race Variable

How Statistical Practices Reinforce Inequality

Jay Kaufman (Autor)

Buch | Softcover

256 Seiten

2025
Columbia University Press (Verlag)
9780231213639 (ISBN)

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From social science and biomedical research to government and media reporting, statistics on racial and ethnic disparities are everywhere. The numbers we typically encounter, however, are not straightforward comparisons. Researchers analyze data using adjustments such as regression models that are intended to address bias and confounding factors. Yet many common statistical practices produce misleading results, and some have flawed assumptions that inadvertently misrepresent the inequalities between groups.

Jay S. Kaufman offers a clear and accessible guide to understanding the use and abuse of statistics on racial and ethnic disparities. Examining dozens of real-world examples spanning medicine, economics, education, and criminal justice, he shows how typical statistical practices—no matter how well-intentioned—have obscured the realities of injustice, with significant consequences for public policy. Kaufman considers how to select and apply statistical adjustments responsibly and systematically, and he proposes ways to improve the explanation and analysis of racial and ethnic inequalities.

Written for readers without a background in statistics, this book provides an essential introduction to quantitative reasoning in terms of social justice. The Race Variable is appropriate for undergraduate and graduate courses across the medical and social sciences—including sociology, demography, public health, epidemiology, medicine, and public policy—that focus on racial and ethnic disparities, and for all readers interested in the statistical foundations of our understanding of inequality.

Jay S. Kaufman is a professor in the Department of Epidemiology, Biostatistics, and Occupational Health at McGill University. A former president of the Society for Epidemiological Research, he is an editor of the journal Epidemiology and coeditor of the textbook Methods in Social Epidemiology (second edition, 2017).

Acknowledgments
Introduction
1. What Is This Thing Called Race?
2. Causality and the Fundamental Challenge of Observed Correlation
3. Making Other Worlds
4. Crude Versus Adjusted Racial and Ethnic Comparisons
5. Conditional Disparities Are the Devil’s Playground
6. The Mismeasure of Man
7. Proxies and Predictions
8. Filters and Screens
9. Scales, Values, and Preferences
10. What Explains a Disparity?
11. Nature Versus Nurture
Conclusion
Notes
Index

Erscheinungsdatum	21.10.2025
Reihe/Serie	Race, Inequality, and Health ; 14
Zusatzinfo	43 b&w illustrations
Verlagsort	New York
Sprache	englisch
Maße	152 x 229 mm
Themenwelt	Mathematik / Informatik ► Mathematik
	Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
	Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
ISBN-13	9780231213639 / 9780231213639
Zustand	Neuware