Computes selection rates and adverse-impact ratios by group. If no reference
group is supplied, the highest selection-rate group is used as reference.
Usage
adverse_impact_ratio(selected, group, reference = NULL)
Arguments
- selected
Logical or 0/1 vector indicating selection.
- group
Group membership vector.
- reference
Optional reference group.
Value
A data frame with selection rates and ratios.
References
De Corte, W., Lievens, F., & Sackett, P. R. (2007). Combining predictors to
achieve optimal trade-offs between selection quality and adverse impact.
Journal of Applied Psychology, 92, 1380-1393.
Pyburn, K. M., Ployhart, R. E., & Kravitz, D. A. (2008). The diversity-
validity dilemma: Overview and legal context. Personnel Psychology, 61,
143-151.
Examples
# Literature: Pyburn, Ployhart, and Kravitz (2008); De Corte et al. (2007).
adverse_impact_ratio(c(1, 0, 1, 1, 0, 0), c("A", "A", "A", "B", "B", "B"))
#> group n selected selection_rate reference_group adverse_impact_ratio
#> 1 A 3 2 0.6666667 A 1.0
#> 2 B 3 1 0.3333333 A 0.5