Utility {psychometric} | R Documentation |
Marginal and Total Utility of a Test
Description
Computes the marginal or total utility of a test.
Usage
MargUtil(Rxy, Sy, MXg, COST, Nselected)
TotUtil(Rxy, Sy, MXg, COST, Nselected)
Arguments
Rxy |
Correlation of Test X with Criterion Y |
Sy |
Standard Deviation of Y in monetary units |
MXg |
Mean of selected group on test X in standard score units |
COST |
Total cost of testing |
Nselected |
number of applicants selected |
Details
Marginal utility is the gain expected in the outcome (i.e., job performance), in monetary units, for a person from the predictor selected subgroup compared to a person who is randomly selected.
Total utility is the total gain in the outcome (i.e., job performance), in monetary units, expected for those selected using the test.
Value
Marginal or Total Utility of a Test (a numeric value in monetary units)
Note
Computation for marginal and total utility are:
MU <- Rxy*Sy*MXg - COST/Nselected
TU <- Nselected*Rxy*Sy*MXg - COST
The computation of Sy should be done locally (within an organization) and is often difficult.
Author(s)
Thomas D. Fletcher t.d.fletcher05@gmail.com
References
Cascio, W. F. & Aguinis, H. (2005). Applied Psychology in Human Resource Management (6th ed.) Englewood Cliffs, NJ: Prentice-Hall.
Murphy, K. R. & Davidshofer, C. O. (2005). Psychological testing: Principles and applications (5th ed.). Saddle River, NJ: Prentice Hall.
See Also
Examples
# Rxy = .35
# Each year 72 workers are hired
# SD of performance in dollars is $4000
# 1 out of 10 applicants are selected
# cost per test = $5
# average test score for those selected = 1.76
MargUtil(.35, 4000, 1.76, 720*5, 72)
TotUtil (.35, 4000, 1.76, 720*5, 72)