Learning with simulation only--artificial skills.
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Biomedical subjects
Publications and source records attributed to P Maschke.
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The validity of a personality questionnaire for the prediction of job success of airline pilots is compared to validities of a simulator checkflight and of flying experience data. During selection, 274 pilots applying for employment with a European charter airline were examined with a multidimensional personality questionnaire (Temperature Structure Scales; TSS). Additionally, the applicants were graded in a simulator checkflight. On the basis of training records, the pilots were classified as performing at standard or below standard after about 3 years of employment in the hiring company. In a multiple-regression model, this dichotomous criterion for job success can be predicted with 73.8% accuracy through the simulator checkflight and flying experience prior to employment. By adding the personality questionnaire to the regression equation, the number of correct classifications increases to 79.3%. On average, successful pilots score substantially higher on interpersonal scales and lower on emotional scales of the TSS.
The validity of a psychological selection system for highly qualified aerospace operators is examined. Of 399 student airline pilots recruited with this procedure, 349 (88%) completed the flight training successfully. Multivariate statistical data analyses on the basis of the criteria training success (pass/fail) and instructor's ratings resulted in acceptable validity coefficients. Whereas tests of psychomotor coordination and multiple task performance proved to be significant predictors for the training success as a whole, such characteristics as mathematical reasoning, mental concentration, perceptual speed and spatial orientation were more related to the instructor's ratings. The significance of psychological aptitude testing for the efficiency of man/machine interactions is discussed.