A Meta-Analysis of Pilot Selection Tests: Success and Performance in Pilot Training

Abstract

The purpose of this study was to determine if the characteristics measured by the Air Force Officer Qualifying Test Pilot Composite and Navy/Marine Flight Aptitude Rating were significantly correlated to the successful completion of flight training. Meta-analysis was used to: calculate the mean weighted average correlation, and correct for sampling error, error of measurement, restriction of range, and dichotomization. Over 200 studies were considered for the meta-analysis. The results indicate that both the uncorrected and fully corrected weighted mean correlations for a group of nine Air Force studies were statistically significant (p < .0001). The partially corrected (sampling error and dichotomization) correlation for a group of eight Navy studies was also statistically significant (p < .03), while the uncorrected weighted mean correlation was not significant (p > .05). There was no significant difference between the magnitude of the correlations (corrected and uncorrected) between the Navy and Air Force groups. The findings of this research indicate that both the Air Force Officer Qualifying Test Pilot Composite and Navy/Marine Flight Aptitude Rating are useful in selecting those candidates who are more likely to complete pilot training.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1991
Accession Number
ADA246623

Entities

People

  • William E. Lynch

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Attrition
  • Department Of Defense
  • Flight Training
  • Human Behavior
  • Human Resources
  • Information Processing
  • Information Science
  • Measurement
  • Military Organizations
  • Pilots
  • Psychological Tests
  • Psychology
  • Reliability
  • Statistical Analysis
  • Students
  • Training

Readers

  • Psychometric Testing or Psychological Assessment.
  • Regression Analysis.