Organizational Psychology

Description Usage Arguments Value Author(s) References Examples

Estimate ai and average criterion scores for majority and minority groups.

1	aiPux(mr, dx, dy = -1, sr, pct_minority)

`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 Minority - Majority.
`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 that is selected.
`pct_minority`	The percentage of the applicant population that is part of a given minority group.

AI: Adverse Impact
Overeall_sr: The overall selection ratio set by the user
Majority_sr: Majority Selection Rate
Minority_sr: Minority Selection Rate
Majority_Standardized: Predicted composite criterion score relative to the majority population
Global_Standardized: Predicted composite criterion score relative to the overall population

Jeff Jones and Allen Goebl

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.