aiPux: 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
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.