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• W3046534245 abstract "A large body of literature suggests thatcognitive abilities are important determinants for training and jobperformance, including flight performance. The associations between measures ofability tests and job performance have been the focus of many empiricalstudies, resulting in an overall conclusion that general mental ability, g,is the main source of prediction, while other narrower abilities have limitedpower for predicting job performance. Despite the attention given to cognitiveability-flight performance relationships, their associations have not beenfully understood at the broad construct level, and most extant literaturefocused on the relations at the observed scores level. Thus, the present dissertationstudy was designed to contribute to the progression of this understanding byexamining the relations between cognitive abilities and flight training performance,using data from four U.S. Air Force (USAF) pilot samples. For comparison, onenavigator and one air battle manager sample were also analyzed. The data wereobtained from correlation matrices of prior investigations and analyzed viastructural equation modeling (SEM) procedures. Fourstudies are reported in the thesis: (1) preliminary study, (2) primaryvalidation study, (3) cross-validation study, and (4) cross-occupationvalidation study. The preliminary study assessed the test battery used in thesubsequent predictive studies. The primary validation study introduced a bifactorpredictive SEM model for testing the influence of cognitive abilities inpredicting pilot performance. The cross-validation study assessed theconsistency of the predictive model suggested in the primary validation study,using three additional pilots’ samples. The cross-occupation validation studycompared the predictive model using data from three aviation-relatedoccupations (flying, navigation, air battle management). Ability factors wereextracted from scores of pilot applicants on the Air Force Officer QualifyingTest (AFOQT), the USAF officers’ primary selection test battery, whereas theflight performance scores were obtained from pilot records during the flighttraining program. Inaddition to the g factor, verbal ability, quantitative ability, spatialability, perceptual speed ability, and aviation-related acquired knowledge arethe six latent cognitive ability factors investigated in the reported studies.Pilot performance measures were modeled either as observed or latent variablescovering ratings of academic and hands-on flying performance in differentphases of the training program. The studies of this thesis established that (1)general ability contributes substantially to the prediction models; however, itis not the only important predictor, (2) aviation-related acquired knowledge isthe most robust predictor of pilot performance among the abilities examined,with a role even exceeding that of g, (3) perceptual speed predicted pilot performance uniquely inseveral occasions, while verbal, spatial, and quantitative abilitiesdemonstrated trivial incremental validity for hands-on pilot performance beyondthat provided by the g measure, and (4) the relative importance of cognitiveabilities tends to vary across aviation occupations." @default.
• W3046534245 created "2020-08-07" @default.
• W3046534245 creator A5083230283 @default.
• W3046534245 date "2020-07-31" @default.
• W3046534245 modified "2023-09-23" @default.
• W3046534245 title "Predictive Relations Between Cognitive Abilities and Pilot Performance: A Structural Equation Modeling Approach" @default.
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