Intelligence Is the Best Predictor of Job Performance

Author:

Ree Malcolm James1,Earles James A.2

Affiliation:

1. Adjunct Professor of Psychology at St. Mary's University of Texas and specializes in statistics and measurement of individual differences.

2. Mathematician who lives and works in San Antonio, Texas, and is interested in the measurement of individual differences.

Publisher

SAGE Publications

Subject

General Psychology

Reference9 articles.

1. C. Hull, Aptitude Testing (World Book, London, 1928).

2. Using large samples of young adults, we have shown that any positive weighting of ordinary paper-and-pencil multiple-aptitude test batteries will yield almost the identical estimate of g;M.J. Ree and J.A. Earles, The stability of g across different methods of estimation, Intelligence, 15, 271-278 (1991). Some critics suggested that the estimates of g converged because of the relative factorial poverty of the ASVAB. A companion study demonstrated the same stability for a factorially richer test; J.A. Earles and M.J. Ree, Air Force Officer Qualifying Test: Estimating the General Ability Component, AL-TR-1991-0039 (Armstrong Laboratory, Brooks AFB, TX, 1992).

3. M.J. Ree and J.A. Earles, The Differential Validity of a Differential Aptitude Test, AFHRL-TR-89-59 (Manpower and Personnel Division, Air Force Human Resources Laboratory, Brooks AFB, TX, 1989). This power of g in prediction is undoubtedly the cornerstone of validity generalization. See J. Hunter, Cognitive ability, cognitive aptitudes, job knowledge, and job performance, Journal of Vocational Behavior, 29, 340-362 (1986).

4. PREDICTING TRAINING SUCCESS: NOT MUCH MORE THAN g

5. M.J. Ree, J.A. Earles, and M. Teachout, General Cognitive Ability Predicts Job Performance, AL-TR-1991-0057 (Armstrong Laboratory, Brooks AFB, TX, 1991).

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