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 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. |

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

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.

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