Commercial airlines need to employ well qualified pilots to run their core business. The current supply from privately and military qualified pilots is proving to be inadequate. A further challenge facing the airline is having to attempt to reflect the diversity of the country in its workforce.
The present study investigated the predictive validity of a psychological test battery for cadet pilots. The predictors that were included in the research are: biographical data, ABET levels in terms of English and Matric results, as well as results from psychological tests, namely: English literacy skills assessment (ELSA), Raven’s Progressive Matrices (RMP), Blox test, subtests of the Intermediate Battery (B/77) viz: Arithmetic 1 and 2, and Reading Comprehension, and the Wechsler Adult Intelligence Scale (WAIS). The objective of the research was to determine the predictive validity of the selection battery utilizing the final flying school results as the criteria.
The results of the research were inconclusive. Only some of the tests showed positive correlations with the modules of the flying school results. The Ravens Progressive Matrices, Blox, Matriculation English symbol, ABET levels and Reading Comprehension, were found to have predictive power with some of the modules of the flying school results based on the regression analysis.
It is recommended that a revised profile for a commercial airline pilot should be developed, as well as that the critical skills and competencies should be identified to enable the airlines to utilize appropriate and relevant assessment tools to select prospective candidates, particularly among the previously disadvantaged communities. / Industrial and Organisational Psychology / M. Com. (Industrial and Organisational Psychology)
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:umkn-dsp01.int.unisa.ac.za:10500/4869 |
| Date | 03 1900 |
| Creators | Mnguni, Vusumuzi Quirion |
| Contributors | De Beer, M. (Prof.) |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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