Predicting adverse impact and mean criterion performance in multistage selection
The authors present an analytical method to assess the average criterion performance of the selected candidates as well as the adverse impact and the cost of general multistage selection decisions. The method extends previous work on the analytical estimation of multistage selection outcomes to the...
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2006
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sg-smu-ink.lkcsb_research-67332019-08-21T03:31:15Z Predicting adverse impact and mean criterion performance in multistage selection DE CORTE, Wifried LIEVENS, Filip SACKETT, Paul R. The authors present an analytical method to assess the average criterion performance of the selected candidates as well as the adverse impact and the cost of general multistage selection decisions. The method extends previous work on the analytical estimation of multistage selection outcomes to the case in which the applicant pool is a mixture of applicant populations that differ in their average performance on the selection predictors. Next, the method was used to conduct 3 studies of important issues practitioners and researchers have with multistage selection processes. Finally, the authors indicate how the method can be integrated into a broader analytical framework to design multistage selection decisions that achieve intended levels of selection cost, workforce quality, and workforce diversity. 2006-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/5734 info:doi/10.1037/0021-9010.91.3.523 https://ink.library.smu.edu.sg/context/lkcsb_research/article/6733/viewcontent/De_Corte_2006_Predicting_adverse_impact_and_mean_.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 personnel selection estimation procedure quality selected workforce Human Resources Management Organizational Behavior and Theory |
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Adverse impact personnel selection estimation procedure quality selected workforce Human Resources Management Organizational Behavior and Theory DE CORTE, Wifried LIEVENS, Filip SACKETT, Paul R. Predicting adverse impact and mean criterion performance in multistage selection |
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The authors present an analytical method to assess the average criterion performance of the selected candidates as well as the adverse impact and the cost of general multistage selection decisions. The method extends previous work on the analytical estimation of multistage selection outcomes to the case in which the applicant pool is a mixture of applicant populations that differ in their average performance on the selection predictors. Next, the method was used to conduct 3 studies of important issues practitioners and researchers have with multistage selection processes. Finally, the authors indicate how the method can be integrated into a broader analytical framework to design multistage selection decisions that achieve intended levels of selection cost, workforce quality, and workforce diversity. |
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text |
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DE CORTE, Wifried LIEVENS, Filip SACKETT, Paul R. |
author_facet |
DE CORTE, Wifried LIEVENS, Filip SACKETT, Paul R. |
author_sort |
DE CORTE, Wifried |
title |
Predicting adverse impact and mean criterion performance in multistage selection |
title_short |
Predicting adverse impact and mean criterion performance in multistage selection |
title_full |
Predicting adverse impact and mean criterion performance in multistage selection |
title_fullStr |
Predicting adverse impact and mean criterion performance in multistage selection |
title_full_unstemmed |
Predicting adverse impact and mean criterion performance in multistage selection |
title_sort |
predicting adverse impact and mean criterion performance in multistage selection |
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Institutional Knowledge at Singapore Management University |
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2006 |
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https://ink.library.smu.edu.sg/lkcsb_research/5734 https://ink.library.smu.edu.sg/context/lkcsb_research/article/6733/viewcontent/De_Corte_2006_Predicting_adverse_impact_and_mean_.pdf |
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