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The Race Variable : How Statistical Practices Reinforce Inequality.
・ISBN 978-0-231-21362-2 hard US$ 130.00
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お気に入り
★★★
・ISBN 978-0-231-21363-9 paper US$ 32.00
￥7,497.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
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お気に入り
★★★
| 著者・編者 | Kaufman, Jay S., |
|---|---|
| シリーズ | Race, Inequality, and Health |
| 出版社 | (Columbia U. Pr., US) |
| 出版年月 | 2025.12 |
| ページ数 | 256 pp. |
| 言語 | ENG |
| ニュース番号 | ＜749-1225＞ |
解説
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 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.