aiEst: Estimate adverse impact given d and sr
In iopsych: Methods for Industrial/Organizational Psychology

Description Usage Arguments Value Author(s) References Examples

Estimate adverse impact given d and sr

1	aiEst(d, sr, pct_minority)

`d`	Subgroup difference.
`sr`	The percentage of the applicant population who are selected.
`pct_minority`	The percentage of the applicant population who are part of a given minority group.

(1) The adverse impact ratio, (2) The overall selection ration, (3) The selection ratio for the majority group, (4) The selection ratio for the minority group, and (5) the predictor cutoff value that corresponds to the given overall selection ratio

Jeff Jones and Allen Goebl

De Corte, W., Lievens, F.(2003). A Practical procedure to estimate the quality and the adverse impact of single-stage selection decisions. International Journal of Selection and Assessment., 11(1), 87-95.

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aiEst(d = 0.15, sr = 0.25, pct_minority = 0.30)

aiEst(d = 0.40, sr = 0.10, pct_minority = 0.15)

$ai
[1] 0.823414

$overall_sr
[1] 0.25

$sr_majority
[1] 0.2639772

$sr_minority
[1] 0.2173625

$uc
[1] 0.6311318

$ai
[1] 0.4708164

$overall_sr
[1] 0.1

$sr_majority
[1] 0.1086222

$sr_minority
[1] 0.0511411

$uc
[1] 1.233889