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The Risk Of Adverse Impact In Selections Based On A Test With Known Effect Size, Wilfried De Corte, Filip Lievens
The Risk Of Adverse Impact In Selections Based On A Test With Known Effect Size, Wilfried De Corte, Filip Lievens
Research Collection Lee Kong Chian School Of Business
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.