Validation of Computerised Aptitude Selection System (Compass) In Predicting Success of Uav Applicants in the Republic of Singapore Air Force (Rsaf)
The study examined the predictive validity of the Computerised Aptitude Selection System (COMPASS) that was set up to support the RSAF in its selection of pilots and other vocations. COMPASS measures cognitive abilities theoretically identified to be relevant to the vocation and was introduced for Unmanned Aerial Vehicle (UAV) pilot selection since 2003. With fast changing technological advancement of the UAVs, it is important that validation studies are regularly conducted to improve the effectiveness of the test suite in predicting training success. 219 UAV Pilot applicants’ COMPASS scores were analysed against their actual training outcomes to determine a theoretically and statistically sound selection composite. Hierarchical multiple regression was done, and findings revealed that the current composite of tests remained to be significantly correlated with applicant success in UAV pilot training. The paper discusses the practical considerations in streamlining the tests to be included in the final assessment composite. Future studies should consider exploring non-cognitive assessment to improve the predictive validity of the overall selection system beyond COMPASS.
De Roza, C.,
Loi En Qi, J.,
& Yip Kam Luen, G.
(2021). Validation of Computerised Aptitude Selection System (Compass) In Predicting Success of Uav Applicants in the Republic of Singapore Air Force (Rsaf). 88th International Symposium on Aviation Psychology, 316-321.