Predicting Significant Factors of Selective Marine Corps Reserve Marines' Career Decisions in Response to the Force Structure Review

Abstract

Significant variables contributed to a Selective Marine Corps Reserve Marine s career decision when faced with changes initiated by the Force Structure Review Group (FSRG). This thesis identifies those variables using research conducted in response to recent Secretary of Navy and Marine Corps research initiatives. A narrative captures the development and roles of the personnel transition team concept created by Marine Forces Reserves in response to changes resulting from the FSRG. Additionally, a decision probability model is developed to estimate Marines decisions during changes similar to those outlined in the FSRG. The data set consists of 4,170 Marines separated into three categories based on contractual obligations and location in respect to reserve sites. Nine logistic regression models estimated the effects of independent variables on a Marine s decision to transfer, interunit transfer, or stay. The findings conclude that military occupational specialty, location, performance, rank, age, deployments, and race all significantly affect a Marine s decision. The decision probability model uses the logistic regression models to estimate Marines decisions for future events similar to the FSRG. It provides a critical tool that will help planning and execution for future changes.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2014
Accession Number
ADA608005

Entities

People

  • Ryan F. Capdepon

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Active Duty
  • Careers
  • Data Sets
  • Deployment
  • Education
  • Force Structure
  • Management Personnel
  • Marine Corps
  • Military Occupational Specialties
  • Military Personnel
  • Noncommissioned Officers
  • Organizational Structure
  • Personnel Management
  • Probability
  • Statistical Analysis
  • Training
  • United States

Readers

  • Maritime Combat Support and Expeditionary Logistics.
  • Military Mobilization and Reserve Forces Studies.
  • Regression Analysis.