TRENDS IN AIRCREW ATTITUDES AND JOB-SATISFACTION.

Abstract

The Military Airlift Command annual aircrew management review forms were completed by four groups of line aircrewmen: (1) the first officer group (N-500); (2) the first airman group (N-500), whose data were collected during the same approximate time period as were those of the first officer group; (3) the second officer group (N-492), whose data were collected subsequent to those of the first officer group; and (4) the second airman group (N-144), whose data were collected during the same approximate time period as were those of the second officer group. Data from the second groups were compared with those from the first groups to reveal the presence, direction, and magnitude of any potential trends--positive or negative--in the problem areas represented by the survey items. This comparison revealed that, for the officer aircrewmen, the largest negative change was an increased tendency to want to resign from the service, while three factors were tied in showing the largest positive change. These three factors were an increase in satisfaction with the hours flown each month, an improvement in the probability of actually getting planned days off, and a higher level of job-satisfaction. For the airmen, equal negative changes occurred in their feelings toward their duty assignment and in how they felt on their days off, while the largest positive change was in the probability of actually getting planned days off. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 11, 1967
Accession Number
AD0669075

Entities

People

  • Bryce O. Hartman
  • George K. Cantrell

Organizations

  • United States Air Force School of Aerospace Medicine

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Airlift Operations
  • Job Analysis
  • Job Satisfaction
  • Personnel Management
  • Probability

Fields of Study

  • Psychology

Readers

  • Military Leadership and Professional Education.
  • Organizational Psychology.
  • Regression Analysis.