Final answer:
The statement is False. Squaring the validity coefficient gives you the proportion of shared variance between the predictor and the job performance, not the proportion of variance in job performance accounted for by the predictor.
Step-by-step explanation:
The statement is False. Squaring the validity coefficient gives you the proportion of shared variance between the predictor and the job performance, not the proportion of variance in job performance accounted for by the predictor.
For example, if the validity coefficient is 0.4, squaring it gives you 0.16, which means that 16% of the variance in job performance can be attributed to the predictor, while the remaining 84% of the variance is due to other factors.