Air Force Recruitment: A Geographic Perspective

Abstract

Beginning in 1973 the Armed Forces implemented an All Volunteer Force recruitment policy. Since then, the Armed Forces have relied heavily upon propensity studies in order to make recruitment policy decisions. By aligning with the adage "the best predictor of the future is the past", this study used past recruit's home addresses in order to develop models designed to predict areas of recruitment instead of relying upon propensity studies. Descriptive and inferential statistics were used to create and evaluate both non-spatial and spatial auto correlated models to determine the best method for predicting recruitment. Ultimately, the research conclusively found that different areas of the country are inclined to recruitment; suggesting the use of statistical measures based on Home of Record information instead of propensity studies is a better method for predicting recruitment.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2000
Accession Number
ADA461053

Entities

People

  • Jason J. Ross

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Data Mining
  • Data Science
  • Databases
  • Enlisted Personnel
  • Factor Analysis
  • Geographic Information Systems
  • Geographic Regions
  • Geography
  • Information Processing
  • Information Science
  • Regression Analysis
  • Social Sciences
  • Spreadsheet Software
  • Surveys
  • United States
  • Urban Areas

Readers

  • East Asian Political and Security Studies within the Soviet Union
  • Military History of the United States in the 20th Century.
  • Systems Analysis and Design