The risk of adverse impact in selections based on a test with known effect size
The authors derive the exact sampling distribution function of the adverse impact (AI) ratio for single-stage, top-down selections using tests with known effect sizes. Subsequently, it is shown how this distribution function can be used to determine the risk that a future selection decision on the b...
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sg-smu-ink.lkcsb_research-66432019-08-23T08:31:00Z The risk of adverse impact in selections based on a test with known effect size DE CORTE, Wilfried LIEVENS, Filip The authors derive the exact sampling distribution function of the adverse impact (AI) ratio for single-stage, top-down selections using tests with known effect sizes. Subsequently, it is shown how this distribution function can be used to determine the risk that a future selection decision on the basis of such tests will result in an outcome that reflects the presence of AI. The article therefore provides test and selection practitioners with a valuable tool to decide between alternative selection predictors. 2005-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/5644 info:doi/10.1177/0013164404272503 https://ink.library.smu.edu.sg/context/lkcsb_research/article/6643/viewcontent/risk.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University adverse impact selection test effect size Human Resources Management Industrial and Organizational Psychology Organizational Behavior and Theory |
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adverse impact selection test effect size Human Resources Management Industrial and Organizational Psychology Organizational Behavior and Theory DE CORTE, Wilfried LIEVENS, Filip The risk of adverse impact in selections based on a test with known effect size |
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The authors derive the exact sampling distribution function of the adverse impact (AI) ratio for single-stage, top-down selections using tests with known effect sizes. Subsequently, it is shown how this distribution function can be used to determine the risk that a future selection decision on the basis of such tests will result in an outcome that reflects the presence of AI. The article therefore provides test and selection practitioners with a valuable tool to decide between alternative selection predictors. |
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DE CORTE, Wilfried LIEVENS, Filip |
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DE CORTE, Wilfried LIEVENS, Filip |
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DE CORTE, Wilfried |
title |
The risk of adverse impact in selections based on a test with known effect size |
title_short |
The risk of adverse impact in selections based on a test with known effect size |
title_full |
The risk of adverse impact in selections based on a test with known effect size |
title_fullStr |
The risk of adverse impact in selections based on a test with known effect size |
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The risk of adverse impact in selections based on a test with known effect size |
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risk of adverse impact in selections based on a test with known effect size |
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Institutional Knowledge at Singapore Management University |
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2005 |
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https://ink.library.smu.edu.sg/lkcsb_research/5644 https://ink.library.smu.edu.sg/context/lkcsb_research/article/6643/viewcontent/risk.pdf |
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