Utility with a probation-period survivor adjustment
Source:R/continuous-models.R
probation_utility.RdA compact helper for selection systems where year 1 utility follows BCG and later periods include an additional survivor-performance gain caused by a probation cutoff.
Usage
probation_utility(
validity,
selection_ratio,
sdy,
n_selected,
tenure,
probation_cutoff_z,
cost = 0
)Arguments
- validity
Predictor-criterion validity.
- selection_ratio
Selection ratio.
- sdy
Standard deviation of job performance in monetary units.
- n_selected
Number of selected applicants in period 1.
- tenure
Total number of periods.
- probation_cutoff_z
Standardized criterion cutoff used after probation.
- cost
Total cost.
References
De Corte, W. (1994). Utility analysis for the one-cohort selection-retention decision with a probationary period. Journal of Applied Psychology, 79, 402-411.
Sturman, M. C. (2001). Utility analysis for multiple selection devices and multiple outcomes. Journal of Human Resource Costing and Accounting, 6(2), 9-28.
Examples
# Literature: De Corte (1994); Sturman (2001).
probation_utility(.35, .20, 50000, 100, tenure = 3, probation_cutoff_z = -1)
#> <psu_bcg>
#> validity: 0.35
#> selection_ratio: 0.2
#> baseline_validity: 0
#> baseline_selection_ratio: 0.2
#> selected_mean_z: 1.39981
#> baseline_selected_mean_z: 1.39981
#> focal_expected_criterion_z: 0.489933
#> baseline_expected_criterion_z: 0
#> incremental_criterion_z: 0.489933
#> sdy: 50000
#> n_selected: 100
#> tenure: 3
#> cost: 0
#> gross_utility: 5325670
#> net_utility: 5325670
#> probation_cutoff_z: -1
#> survivor_expected_criterion_z: 0.2876