Revisiting the design of selection systems in light of new findings regarding the validity of widely used predictors

Sackett et al. (2022) identified previously unnoticed flaws in the way range restriction corrections have been applied in prior meta-analyses of personnel selection tools. They offered revised estimates of operational validity, which are often quite different from the prior estimates. The present pa...

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Main Authors: SACKETT, Paul R., ZHANG, Charlene, BERRY, Christopher M., Filip LIEVENS
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Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/7188
https://ink.library.smu.edu.sg/context/lkcsb_research/article/8187/viewcontent/revisiting_the_design_of_selection_systems_in_light_of_new_findings_regarding_the_validity_of_widely_used_predictors.pdf
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spelling sg-smu-ink.lkcsb_research-81872023-07-21T03:59:57Z Revisiting the design of selection systems in light of new findings regarding the validity of widely used predictors SACKETT, Paul R. ZHANG, Charlene BERRY, Christopher M. Filip LIEVENS, Sackett et al. (2022) identified previously unnoticed flaws in the way range restriction corrections have been applied in prior meta-analyses of personnel selection tools. They offered revised estimates of operational validity, which are often quite different from the prior estimates. The present paper attempts to draw out the applied implications of that work. We aim to a) present a conceptual overview of the critique of prior approaches to correction, b) outline the implications of this new perspective for the relative validity of different predictors and for the tradeoff between validity and diversity in selection system design, c) highlight the need to attend to variability in meta-analytic validity estimates, rather than just the mean, d) summarize reactions encountered to date to Sackett et al., and e) offer a series of recommendations regarding how to go about correcting validity estimates for unreliability in the criterion and for range restriction in applied work. 2023-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/7188 https://ink.library.smu.edu.sg/context/lkcsb_research/article/8187/viewcontent/revisiting_the_design_of_selection_systems_in_light_of_new_findings_regarding_the_validity_of_widely_used_predictors.pdf http://creativecommons.org/licenses/by/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University range restriction corrections meta-analyses personnel selection tools operational validity predictor validity selection system design validity and diversity tradeoff meta-analytic validity criterion unreliability correction techniques Industrial and Organizational Psychology
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic range restriction corrections
meta-analyses
personnel selection tools
operational validity
predictor validity
selection system design
validity and diversity tradeoff
meta-analytic validity
criterion unreliability
correction techniques
Industrial and Organizational Psychology
spellingShingle range restriction corrections
meta-analyses
personnel selection tools
operational validity
predictor validity
selection system design
validity and diversity tradeoff
meta-analytic validity
criterion unreliability
correction techniques
Industrial and Organizational Psychology
SACKETT, Paul R.
ZHANG, Charlene
BERRY, Christopher M.
Filip LIEVENS,
Revisiting the design of selection systems in light of new findings regarding the validity of widely used predictors
description Sackett et al. (2022) identified previously unnoticed flaws in the way range restriction corrections have been applied in prior meta-analyses of personnel selection tools. They offered revised estimates of operational validity, which are often quite different from the prior estimates. The present paper attempts to draw out the applied implications of that work. We aim to a) present a conceptual overview of the critique of prior approaches to correction, b) outline the implications of this new perspective for the relative validity of different predictors and for the tradeoff between validity and diversity in selection system design, c) highlight the need to attend to variability in meta-analytic validity estimates, rather than just the mean, d) summarize reactions encountered to date to Sackett et al., and e) offer a series of recommendations regarding how to go about correcting validity estimates for unreliability in the criterion and for range restriction in applied work.
format text
author SACKETT, Paul R.
ZHANG, Charlene
BERRY, Christopher M.
Filip LIEVENS,
author_facet SACKETT, Paul R.
ZHANG, Charlene
BERRY, Christopher M.
Filip LIEVENS,
author_sort SACKETT, Paul R.
title Revisiting the design of selection systems in light of new findings regarding the validity of widely used predictors
title_short Revisiting the design of selection systems in light of new findings regarding the validity of widely used predictors
title_full Revisiting the design of selection systems in light of new findings regarding the validity of widely used predictors
title_fullStr Revisiting the design of selection systems in light of new findings regarding the validity of widely used predictors
title_full_unstemmed Revisiting the design of selection systems in light of new findings regarding the validity of widely used predictors
title_sort revisiting the design of selection systems in light of new findings regarding the validity of widely used predictors
publisher Institutional Knowledge at Singapore Management University
publishDate 2023
url https://ink.library.smu.edu.sg/lkcsb_research/7188
https://ink.library.smu.edu.sg/context/lkcsb_research/article/8187/viewcontent/revisiting_the_design_of_selection_systems_in_light_of_new_findings_regarding_the_validity_of_widely_used_predictors.pdf
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