title: Large sample validations of three general predictors of pilot training success.
abstract: This article addresses one of the perennial problems of pilot selection research: obtaining an adequate sample size for reliable statistical analysis of predictive validity. Results from three studies involving the same computerized tests of instrument comprehension and psychomotor ability were combined in a meta-analysis to determine whether the validities of these tests generalized across three contexts. These were Royal Air Force and Turkish Air Force fixed-wing pilot training and British Army Air Corps rotary-wing pilot training. In this article, we discuss the adequacy of samples for estimating the validity of the tests, and the persistence of predictive validity to later stages of training as shown by British Army Air Corps data. Reference is also made to data from a  fourth independent study of Qantas pilot training.
authors.affiliation: People Technologies, UK.
authors.forename: E
authors.initials: E
authors.lastname: Burke
authors.forename: C
authors.initials: C
authors.lastname: Hobson
authors.forename: C
authors.initials: C
authors.lastname: Linsky
mesh_terms: D001315:Australia; D001359:Aviation / Q000193:education; D006801:Humans; D015201:Meta-Analysis as Topic; D008889:Military Personnel / Q000193:education*; D010560:Personnel Selection / Q000379:methods*; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D012107:Research Design; D018401:Sample Size; D013647:Task Performance and Analysis; D014421:Turkey; D006113:United Kingdom