aiEst: Estimate adverse impact given d and sr

Description Usage Arguments Value Author(s) References Examples

Description

Estimate adverse impact given d and sr

Usage

1
aiEst(d, sr, pct_minority)

Arguments

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.

Value

(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

Author(s)

Jeff Jones and Allen Goebl

References

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.

Examples

1
2
3
aiEst(d = 0.15, sr = 0.25, pct_minority = 0.30)

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

Example output

$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

iopsych documentation built on May 2, 2019, 2:27 p.m.