Literature DB >> 23304999

Predictive validity of pilot selection instruments for remotely piloted aircraft training outcome.

Thomas R Carretta1.   

Abstract

INTRODUCTION: Demand for remotely-piloted aircraft (RPA) support has increased dramatically over the last decade. Initial efforts to meet the demand focused on cross-training experienced manned aircraft pilots and funneling recent Specialized Undergraduate Pilot Training (SUPT) graduates to RPA pilot training. This approach reduced the number of personnel available for manned airframes and is no longer sustainable. In 2009, the USAF established an RPA career field and the Undergraduate RPA Training (URT) course to train officers with no prior flying experience to be RPA pilots. URT selection methods are very similar to those for SUPT. Some important factors for URT applicants are medical flight screening and aptitude tests [Air Force Officer Qualifying Test (AFOQT) and Pilot Candidate Selection Method (PCSM)]. The current study examined the predictive validity of the AFOQT pilot and PCSM composites for URT completion.
METHOD: Subjects were 139 URT students with AFOQT and PCSM scores. The training criterion was URT pass/fail and the pass rate was 74.8%.
RESULTS: Both the AFOQT pilot (r = 0.378) and PCSM (r = 0.480) composites demonstrated good predictive validity. DISCUSSION: No minimum qualifying PCSM score exists for URT. Had a minimum PCSM score of 25 been used, the pass rate would have been 80.2%; 12 more eliminees would have been screened out compared with the current AFOQT pilot minimum qualifying score of 25. Although current selection methods are effective, based on results of several RPA job/task analyses, the Air Force is examining the utility of other measures to supplement current methods.

Mesh:

Year:  2013        PMID: 23304999     DOI: 10.3357/asem.3441.2013

Source DB:  PubMed          Journal:  Aviat Space Environ Med        ISSN: 0095-6562


  1 in total

1.  Stress Profile in Remotely Piloted Aircraft Crewmembers During 2 h Operating Mission.

Authors:  Anna Valenzano; Fiorenzo Moscatelli; Antonietta Messina; Vincenzo Monda; Raffaele Orsitto; Giovanna Zezza; Giovanni Fiorentino; Monica Salerno; Antonio I Triggiani; Andrea Viggiano; Maria P Mollica; Marco Carotenuto; Marcellino Monda; Giuseppe Cibelli; Giovanni Messina
Journal:  Front Physiol       Date:  2018-05-07       Impact factor: 4.566

  1 in total

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