Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

U.S. Air Force pilot selection and training methods.

T R Carretta1

  • 1Crew Systems Development Branch, Air Force Research Laboratory Human Effectiveness Directorate, Wright-Patterson AFB, OH 45433-7511, USA. thomas.carretta@wpafb.af.mil

Aviation, Space, and Environmental Medicine
|September 23, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Determinants of enlisted air traffic controller success.

Aviation, space, and environmental medicine·1999
Same author

A comparison of two U.S. Air Force pilot aptitude tests.

Aviation, space, and environmental medicine·1998
Same author

Male-female performance on U.S. Air Force pilot selection tests.

Aviation, space, and environmental medicine·1997
Same author

A preliminary evaluation of causal models of male and female acquisition of pilot skills.

The International journal of aviation psychology·1997
Same author

U.S. Air Force pilot selection tests: what is measured and what is predictive?

Aviation, space, and environmental medicine·1996
Same author

Prediction of situational awareness in F-15 pilots.

The International journal of aviation psychology·1996
Same journal

Goodbye to ASEM.

Aviation, space, and environmental medicine·2014
Same journal

AsMA - a worldwide organization.

Aviation, space, and environmental medicine·2014
Same journal

This month in aerospace medicine history.

Aviation, space, and environmental medicine·2014
Same journal

You're the flight surgeon: hypogonadism.

Aviation, space, and environmental medicine·2014
Same journal

You're the flight surgeon: fatigue.

Aviation, space, and environmental medicine·2014
Same journal

Manned-unmanned teaming: expanding the envelope of UAS operational employment.

Aviation, space, and environmental medicine·2014
See all related articles

U.S. Air Force pilot selection can improve by using aptitude test data more effectively. Incorporating personality assessments and structured interviews could further enhance candidate selection for pilot training.

Area of Science:

  • Aviation Psychology
  • Military Personnel Selection
  • Human Factors in Aviation

Background:

  • Recent changes in U.S. Air Force (USAF) pilot selection and training procedures.
  • Introduction of computer-based testing to enhance pilot aptitude assessment.
  • Modernization of training fleets and early specialization in training.

Purpose of the Study:

  • To evaluate the current utilization of pilot aptitude test data in USAF selection.
  • To identify areas for improvement in the USAF pilot selection process.
  • To assess the potential impact of additional selection measures.

Main Methods:

  • Analysis of policy capturing studies on USAF pilot selection.
  • Review of current practices in pilot candidate selection boards.

Related Experiment Videos

  • Examination of existing personnel attribute data and its predictive utility.
  • Main Results:

    • Pilot aptitude test data, despite proven utility, is often overlooked by selection boards.
    • Selection decisions heavily rely on measures of officership.
    • Current personnel data offers potential for improved selection outcomes.

    Conclusions:

    • USAF pilot selection can be enhanced by better utilizing existing personnel attribute data.
    • Implementing structured selection interviews and personality measures could further optimize candidate selection.
    • A more data-driven approach to selection can improve training performance prediction.