| aiPux {iopsych} | R Documentation |
Estimate ai and average criterion scores for majority and minority groups.
Description
Estimate ai and average criterion scores for majority and minority groups.
Usage
aiPux(mr, dx, dy = 1, sr, pct_minority)
Arguments
mr |
The correlation between the predictor and criterion composites. |
dx |
A vector of d values for the predictors. These d values are expected to have been computed in the direction of Majority - Minority. |
dy |
A vector of d values for the criteria These d values are expected to have been computed in the direction of Majority - Minority. |
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
AIAdverse Impact
Overeall_srThe overall selection ratio set by the user
Majority_srMajority Selection Rate
Minority_srMinority Selection Rate
Majority_StandardizedPredicted composite criterion score relative to the majority population
Global_StandardizedPredicted composite criterion score relative to the overall population
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
aiPux(.6, dx=.8, sr=.3, pct_minority=.25)
aiPux(.6, dx=.8, dy=.2, sr=.3, pct_minority=.25)