Isbn: 9780231213639 - the race variable: how statistical practices reinforce inequality: 14 (27 risultati)

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New. 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.…

Paperback or Softback. Condizione: New. The Race Variable: How Statistical Practices Reinforce Inequality. Book.

Condizione: new.

Paperback. Condizione: New. 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.…

Condizione: New. 2025. paperback. . . . . .

Condizione: New.

Condizione: New. 2025. paperback. . . . . . Books ship from the US and Ireland.

paperback. Condizione: New.

Condizione: New.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback. Condizione: Brand New. 256 pages. 9.00x6.00x9.00 inches. In Stock.

Taschenbuch. Condizione: Neu. Neuware - 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.…

Condizione: NEW.

Paperback. Condizione: New. 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.…

Condizione: New.

Paperback. Condizione: new. Paperback. 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 practicesno matter how well-intentionedhave 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 sciencesincluding sociology, demography, public health, epidemiology, medicine, and public policythat 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condizione: New. 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.…

Taschenbuch. Condizione: Neu. The Race Variable | How Statistical Practices Reinforce Inequality | Jay Kaufman | Taschenbuch | Race, Inequality, and Health | Einband - flex.(Paperback) | Englisch | 2025 | Columbia University Press | EAN 9780231213639 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Paperback. Condizione: new. Paperback. 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 practicesno matter how well-intentionedhave 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 sciencesincluding sociology, demography, public health, epidemiology, medicine, and public policythat 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: Brand New. 256 pages. 9.00x6.00x9.00 inches. In Stock. This item is printed on demand.

Paperback. Condizione: new. Paperback. 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 practicesno matter how well-intentionedhave 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 sciencesincluding sociology, demography, public health, epidemiology, medicine, and public policythat 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…