Predicting the outcomes of single- and multistage selections when applicant pools are small and heterogeneous
- Author
- Wilfried De Corte (UGent)
- Organization
- Abstract
- This article presents analytic methods and accompanying computational tools for estimating the expected quality and diversity outcome of general multistage selections when the applicant pool is a finite, typically small sample from a mixture of majority and minority applicant populations. The new methods generalize the analytic estimation of the expected quality of small heterogeneous applicant pool selections from simple, single-stage selection situations to the more general, multistage selection context. In addition, the new methods also compute the sampling variability of the selection quality outcome for these selection decisions.
- Keywords
- adverse impact, personnel selection, UTILITY, SYSTEMS, MIXTURE, QUALITY, DECISIONS, COGNITIVE-ABILITY, ADVERSE IMPACT, Pareto-optimal, selection design, finite applicant pool
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-5957489
- MLA
- De Corte, Wilfried. “Predicting the Outcomes of Single- and Multistage Selections When Applicant Pools Are Small and Heterogeneous.” ORGANIZATIONAL RESEARCH METHODS, vol. 17, no. 4, 2014, pp. 412–32, doi:10.1177/1094428114537877.
- APA
- De Corte, W. (2014). Predicting the outcomes of single- and multistage selections when applicant pools are small and heterogeneous. ORGANIZATIONAL RESEARCH METHODS, 17(4), 412–432. https://doi.org/10.1177/1094428114537877
- Chicago author-date
- De Corte, Wilfried. 2014. “Predicting the Outcomes of Single- and Multistage Selections When Applicant Pools Are Small and Heterogeneous.” ORGANIZATIONAL RESEARCH METHODS 17 (4): 412–32. https://doi.org/10.1177/1094428114537877.
- Chicago author-date (all authors)
- De Corte, Wilfried. 2014. “Predicting the Outcomes of Single- and Multistage Selections When Applicant Pools Are Small and Heterogeneous.” ORGANIZATIONAL RESEARCH METHODS 17 (4): 412–432. doi:10.1177/1094428114537877.
- Vancouver
- 1.De Corte W. Predicting the outcomes of single- and multistage selections when applicant pools are small and heterogeneous. ORGANIZATIONAL RESEARCH METHODS. 2014;17(4):412–32.
- IEEE
- [1]W. De Corte, “Predicting the outcomes of single- and multistage selections when applicant pools are small and heterogeneous,” ORGANIZATIONAL RESEARCH METHODS, vol. 17, no. 4, pp. 412–432, 2014.
@article{5957489,
abstract = {{This article presents analytic methods and accompanying computational tools for estimating the expected quality and diversity outcome of general multistage selections when the applicant pool is a finite, typically small sample from a mixture of majority and minority applicant populations. The new methods generalize the analytic estimation of the expected quality of small heterogeneous applicant pool selections from simple, single-stage selection situations to the more general, multistage selection context. In addition, the new methods also compute the sampling variability of the selection quality outcome for these selection decisions.}},
author = {{De Corte, Wilfried}},
issn = {{1094-4281}},
journal = {{ORGANIZATIONAL RESEARCH METHODS}},
keywords = {{adverse impact,personnel selection,UTILITY,SYSTEMS,MIXTURE,QUALITY,DECISIONS,COGNITIVE-ABILITY,ADVERSE IMPACT,Pareto-optimal,selection design,finite applicant pool}},
language = {{eng}},
number = {{4}},
pages = {{412--432}},
title = {{Predicting the outcomes of single- and multistage selections when applicant pools are small and heterogeneous}},
url = {{http://dx.doi.org/10.1177/1094428114537877}},
volume = {{17}},
year = {{2014}},
}
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