An Evaluation of Performance-Based Tests Designed to Improve Naval Aviation Selection.
Abstract
This report describes the evaluation of a portion of a new aircrew selection test battery recently developed at the Naval Aerospace Medical Research Laboratory. The results indicate that performance-based test measures can be used to predict flight training performance. Several test measures were reliably related to a pass/fail criterion. These results provide support for the prediction of whether or not a candidate will pass or fail training. The results of a hierarchical multiple regression revealed that scores from three tests, (1) Absolute Difference-Horizontal Tracking, (2) Complex Visual Information, and (3) Risk-taking Task, were generally equivalent in predicting success in primary flight training. Interactions of college major and accession source with derived scores of the three significant tests contributed significant amounts of variability when added to the model. We recommend that the valid tests from this study be implemented for operational use with the AQT/FAR. The use of hierarchical multiple regression with the tests will isolate those specific measures capable of accounting for added and unique variance, beyond that of the AQT/FAR and certain demographic variables, in the prediction of primary flight training course. Aviation selection, Attrition, Prediction, Flight training, Performance-based, Psychomotor tests, Psychological tests
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1991
- Accession Number
- ADA283652
Entities
People
- D. J. Blower
- D. L. Dolgin
Organizations
- Naval Aerospace Medical Research Laboratory