Skip to main content

Table 1 Mean of precision of the estimation of \( {\mathrm{r}}_{\mathrm{y}{\mathrm{x}}_1\mid \mathrm{a}} \) (predictive validity) from different methods when 30%, 20%, and 10% of applicants are selected with RMSE and confidence interval

From: Correcting the predictive validity of a selection test for the effect of indirect range restriction

 

30% Selection

20% Selection

10% Selection

 

mean

SD

RMSE

CI 95%

mean

SD

RMSE

CI 95%

mean

SD

RMSE

CI 95%

Thorndike’s case A

−0.07

.05

.085

−0.16 – 0.02

−0.10

.07

.119

−0.23 – 0.02

−0.14

.10

.167

−0.34 – 0.04

Thorndike’s case C

0.00

.04

.043

−0.09 – 0.07

−0.01

.06

.065

−0.14 – 0.10

−0.02

.10

.102

−0.24 – 0.15

EM

0.00

.04

.039

−0.09 – 0.07

−0.01

.06

.058

−0.13 – 0.10

−0.02

.09

.092

−0.23 – 0.12

MICE

−0.01

.04

.040

−0.09 – 0.07

−0.01

.06

.059

−0.14 – 0.09

−0.03

.09

.097

−0.24 – 0.12

  1. Note. mean mean of the accuracy in the 1000 simulations, RMSE Root Mean Square Error, CI Confidence Interval