Predicting Commercial Pilot Training Performance-Reference-Cited by-同舟云学术

Predicting Commercial Pilot Training Performance

Published:2022-09 Issue:2 Volume:12 Page:109-118
ISSN:2192-0923
Container-title:Aviation Psychology and Applied Human Factors
language:en
Short-container-title:Aviation Psychology and Applied Human Factors

Author:

Martinussen Monica¹²^ORCID,Lang-Ree Ole Christian³^ORCID,Mjøen Håvard⁴,Svendsen Bengt⁴,Barone Adrian⁴

Affiliation:

1. Regional Centre for Child and Youth Mental Health and Child Welfare (RKBU Nord), Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway

2. The Norwegian Defence University College, Oslo, Norway

3. Norwegian Armed Forces Joint Medical Services, Oslo, Norway

4. School of Aviation, Department of Engineering and Safety, UiT The Arctic University of Norway, Tromsø, Norway

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.

Publisher

Hogrefe Publishing Group

Subject

General Medicine

Link

https://econtent.hogrefe.com/doi/pdf/10.1027/2192-0923/a000232

Reference48 articles.

1. Multiple test batteries as predictors for pilot performance: A meta‐analytic investigation

2. Predictive Validity of the Air Force Officer Qualifying Test (AFOQT) for Pilot Performance

3. Relations of Personality Traits to Military Aviator Performance

4. Broach, D., Schroeder, D. & Gildea, K. (2019). Best practices in pilot selection. Report no. DOT/FAA/AM-19/6. Office of Aerospace Medicine. https://www.faa.gov/data_research/research/med_humanfacs/oamtechreports/2010s/media/201906.pdf