Retention of MAC Strategic Airlift Pilots. An Analysis of the Strategic Airlift Aircrew Survey.

Abstract

This study analyzes the career intent of MAC strategic airlift pilots with less than eight years service. The data were obtained from the Strategic Airlift Aircrew Survey conducted in November, 1977. The study employed factor analysis, the Automatic Interaction Detection algorithm (AID), multiple linear regression, and selected subroutines from the Statistical Package for the Social Sciences (SPSS) as a means of relating career intent to a variety of possible predictors. The analysis results were not very conclusive in that less than half of the variance in the career intent question was explained by the predictor set. The writer believes that these unclear results are due primarily to the complexity of the causal factors. Several survey questions also had very skewed distributions, so that although a problem was clearly identified, the question was not useful as a predictor of career intent. While acknowledging the limitations of the low explanatory power of the predictors found in this study, the most powerful predictors of career intent that were found include: interest in the airlines, importance of the Air Force as an institution, flying pay as an incentive, and lack of concern for the individual. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1978
Accession Number
ADA065904

Entities

People

  • Steven Knudsen

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • C4I
  • Cyber
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Personnel
  • Algorithms
  • Commercial Aviation
  • Databases
  • Employment
  • Factor Analysis
  • Flight Training
  • Information Science
  • Military Organizations
  • Organizational Structure
  • Personnel Management
  • Plastic Explosives
  • Psychology
  • Regression Analysis
  • Social Sciences
  • Surveys

Readers

  • Aerospace logistics and air mobility.
  • Military Leadership and Professional Education.
  • Regression Analysis.