Abstract
A dynamic, computer-based, multi-aptitude test was designed to predict success on inspection jobs that require the combined aptitudes of general cognitive ability, abstract reasoning, and spatial visualization. This approach to the prediction of job performance is in contrast to most existing methods for predicting performance on technical jobs, in which aptitudes are measured one at a time by static tests. The test was computer administered and scored, requiring 36 minutes of testing time. Validation studies showed that the test was highly reliable, correlated with other measures of these key aptitudes, and was predictive of the job performance of nondestructive testing operators. These results indicated that the test can be used with confidence for the early identification of individuals who will benefit most from training and experience on certain inspection jobs, and who will be most likely to meet operator qualification standards for these jobs.
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