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iopsych (version 0.90.1)

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.

Examples

Run this code
aiPux(.6, dx=.8, sr=.3, pct_minority=.25)
aiPux(.6, dx=.8, dy=.2, sr=.3, pct_minority=.25)

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