An Analysis of Reenlistment Intention and Actual Reenlistment of Army Male Second-Term Enlisted Personnel

Abstract

This thesis investigated an Army male second-termer's intended and actual reenlistment to identify key factors that significantly affect his decision to prolong his career in the Army using the 1985 DoD Survey of Officers and Enlisted Personnel conducted for the office of the Assistant Secretary of Defense (Force Management and Personnel). the sample was limited to those in paygrades E4-E6, with 5-10 years of service, and who had less than one year remaining in their commitment. Psychological, economic, organizational, and personal/demographic characteristics were investigated to determine their effect on the enlistees' career decision. A multivariate logit regression model was estimated utilizing these explanatory variable: Single/Wo/Dep., Single/W/Dep., Married/Wo/Dep., Black, Hispanic, YOS, Technical, Medical, Admin/Supply, Probability of Alternative, and Composite variables for satisfaction with work environment, and satisfaction with pecuniary benefits. The result indicates that there were significant differences in the factors affecting the intended and actual reenlistment decisions. Black, YOS, Medical, Probability of Alternative, Satisfaction with Work Environment, and Satisfaction with Pecuniary Benefits were significant in explaining intentions while Single/Wo/Dep., Married/Wo/Dep., YOS, Admin/Supply, and Satisfaction with Work Environment were significant in explaining actual reenlistment.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1991
Accession Number
ADA245233

Entities

People

  • Byung G. Kim

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Administrative Personnel
  • Business Administration
  • Data Science
  • Databases
  • Employment
  • Enlisted Personnel
  • Information Science
  • Management Personnel
  • Manpower
  • Military Personnel
  • Minority Groups
  • Organizational Structure
  • Personnel Management
  • Recruiting
  • Regression Analysis
  • Statistical Analysis
  • Surveys

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