A Multivariate Analysis of Reenlistment Intentions as a Predictor of Reenlistment Behavior

Abstract

The purpose of this thesis is to determine whether reenlistment intentions can help to predict actual reenlistment behavior. The samples consists of 6,326 Navy male enlisted members who are within one year of the reenlistment decision. The thesis constructs multivariate models consisting of numerous predictor variables. The variables are divided into three categories: demographic, reenlistment intentions, and job satisfaction variables. Results show that the most powerful predictor of reenlistment behavior is the reenlistment intentions variable. The results also show that reenlistment behavior is influenced by race, age, pay grade, marital status, enlistment period, and level of satisfaction with the military in general. The study also estimates a model to show the relationship between the demographic and job satisfaction variables and reenlistment intentions. This model demonstrates that some demographic and job satisfaction variables indirectly influence reenlistment behavior through their impact on reenlistment intentions. Understanding the importance of intentions to reenlist during the one-year period prior to reenlistment can assist career counselors in their effort to increase reenlistment rates. Keywords: Naval personnel, Attrition, Theses.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1988
Accession Number
ADA206114

Entities

People

  • Anne-marie Rearden

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Business Administration
  • Data Analysis
  • Data Science
  • Data Sets
  • Employment
  • Enlisted Personnel
  • Job Satisfaction
  • Management Personnel
  • Military Personnel
  • Naval Personnel
  • Personnel Management
  • Probability
  • Recruiting
  • Recruits
  • Reenlistment
  • Regression Analysis
  • Surveys

Readers

  • Naval Personnel Management
  • Organizational Psychology.