M. Martinussen, O. C. Lang-Ree, Håvard Mjøen, Bengt Svendsen, Adrian Barone
{"title":"Predicting Commercial Pilot Training Performance","authors":"M. Martinussen, O. C. Lang-Ree, Håvard Mjøen, Bengt Svendsen, Adrian Barone","doi":"10.1027/2192-0923/a000232","DOIUrl":null,"url":null,"abstract":"Abstract. The main purpose of this study was to examine the predictive validity of the system used for ab initio selection of candidates to a bachelor program in aviation. The selection includes paper-and-pencil tests, computer-based tests, and an interview. A total of 188 candidates participated in the validation study. The total test score predicted the results of three exams in aviation theory ( r = .27–.38) and extra flying hours needed (−.22), but not mean university grade. The regression analyses indicated that all predictors (tests and interview ratings) explained 25% of the variance in aviation theory, 19% in extra flying hours needed, and 7% in mean university grade. The overall findings confirmed the predictive validity of selection tests, especially the computer-based tests.","PeriodicalId":121896,"journal":{"name":"Aviation Psychology and Applied Human Factors","volume":"118 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aviation Psychology and Applied Human Factors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1027/2192-0923/a000232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract. The main purpose of this study was to examine the predictive validity of the system used for ab initio selection of candidates to a bachelor program in aviation. The selection includes paper-and-pencil tests, computer-based tests, and an interview. A total of 188 candidates participated in the validation study. The total test score predicted the results of three exams in aviation theory ( r = .27–.38) and extra flying hours needed (−.22), but not mean university grade. The regression analyses indicated that all predictors (tests and interview ratings) explained 25% of the variance in aviation theory, 19% in extra flying hours needed, and 7% in mean university grade. The overall findings confirmed the predictive validity of selection tests, especially the computer-based tests.