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Detecting Adverse Impact
by
Holmes, Jaron T.
, Tison, Emilee B.
, Hauenstein, Neil M. A.
in
Analysis
/ Employee selection
/ Hiring
/ Human resource management
/ Impact analysis
/ Sample Size
/ Sampling
/ Simulation
/ Statistical hypothesis testing
/ Statistical significance
/ Studies
/ Tests
2013
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Do you wish to request the book?
Detecting Adverse Impact
by
Holmes, Jaron T.
, Tison, Emilee B.
, Hauenstein, Neil M. A.
in
Analysis
/ Employee selection
/ Hiring
/ Human resource management
/ Impact analysis
/ Sample Size
/ Sampling
/ Simulation
/ Statistical hypothesis testing
/ Statistical significance
/ Studies
/ Tests
2013
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Journal Article
Detecting Adverse Impact
2013
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Overview
The present study compares the detection of adverse impact using the four-fifths rule and the ZD-test. We identified the boundaries that delineate where the four-fifths rule is more or less sensitive than significance testing in the detection of adverse impact. We further considered the practical effects of both criteria by comparing the number of minorities that need to be hired to avoid adverse impact. Finally, we discuss the various issues that researchers and practitioners must recognize in choosing an adverse impact criterion.
Publisher
SAGE Publications,Sage Publications, Inc,SAGE PUBLICATIONS, INC
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