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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