Description

This text is the best single repository for a comprehensive examination of the scientific research and practical issues associated with adverse impact. Adverse impact occurs when there is a significant difference in organizational outcomes to the disadvantage of one or more groups defined on the basis of demographic characteristics such as race, ethnicity, gender, age, religion, etc.

This book shows, based on scientific research, how to design selection systems that minimize subgroup differences. The primary object of this volume in the SIOP series is to bring together renowned experts in this field to present their viewpoints and perspectives on what underlies adverse impact, where we are in terms of assessing it and what we may have learned (or not learned) about minimizing it.

Adverse Impact: Implications for Organizational Staffing and High Stakes Selection

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£130.00

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Hardback by James L. Outtz

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This text is the best single repository for a comprehensive examination of the scientific research and practical issues associated with... Read more

    Publisher: Taylor & Francis Inc
    Publication Date: 18/08/2009
    ISBN13: 9780805863741, 978-0805863741
    ISBN10: 0805863745

    Number of Pages: 584

    Non Fiction , Politics, Philosophy & Society

    Description

    This text is the best single repository for a comprehensive examination of the scientific research and practical issues associated with adverse impact. Adverse impact occurs when there is a significant difference in organizational outcomes to the disadvantage of one or more groups defined on the basis of demographic characteristics such as race, ethnicity, gender, age, religion, etc.

    This book shows, based on scientific research, how to design selection systems that minimize subgroup differences. The primary object of this volume in the SIOP series is to bring together renowned experts in this field to present their viewpoints and perspectives on what underlies adverse impact, where we are in terms of assessing it and what we may have learned (or not learned) about minimizing it.

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