Effect of Air Force Recruiting Incentives on Volunteer Enlistment.

Abstract

Recent changes in U.S. selective service laws have brought the armed services into increasing competition with other large organizations to obtain sufficient numbers of qualified entry-level personnel. As a result, much greater emphasis has been placed on developing enlistment incentives to meet national and regional recruiting objectives. The purpose of this study was to examine the way various aspects of the Air Force are viewed by in-coming recruits and to determine how these perceptions were related to volunteer enlistment decisions. Attitude surveys were administered to two random samples of Air Force servicemen entering during FY 71 (N = 8,007) and FY 72 (N = 9,331). Respondents were asked to rate each of several aspects of the service (i.e., expected job interest, equitable pay, working conditions) according to its perceived importance and obtainability. They were also asked to indicate (1) their state of residence prior to entry into service, and (2) the likelihood they would have enlisted in the absence of the draft. Responses to the survey were analyzed using multi-way distributions of correlational techniques. Comparisons were made between the two samples across time and within samples, between groups categorized according to volunteer intent. Finally, regional variations in perceptions of the service were investigated. Implications of findings for establishing recruiting incentives were discussed. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1976
Accession Number
ADA025852

Entities

People

  • William E. Alley

Organizations

  • Brooks Air Force Base

Tags

DTIC Thesaurus Topics

  • Administrative Personnel
  • Air Force
  • Competition
  • Enlisted Personnel
  • Management Personnel
  • Military Personnel
  • Motivation
  • Organizational Structure
  • Perception
  • Personnel Management
  • Recruiting
  • Recruits
  • Statistical Samples
  • Surveys
  • Volunteers

Readers

  • Naval Personnel Management
  • Regression Analysis.