U.S. Army Reserve Retention Modeling For Mid-Level Leaders

Abstract

The Army Reserve wants to retain more mid-level leaders (defined as E6-E7 and O3-O4). In order to do this, the Reserve would like to know what influences a service member to stay or leave the Reserve military. Retaining mid-level leaders will greatly reduce the monetary costs of attrition, but will also increase readiness across the Army Reserve. This problem is constantly being evaluated by Human Resources Command and U.S. Army Recruiting Command; however, a new model consisting of multi-dimensional personnel data may provide new insight on what factors are predictive of a service member staying in the Army Reserve and may also provide insight on what programs are most effective at affecting retention. Once the model was created using logistic regression, it was evaluated using a test set to see how effective the model was at prediction as well as evaluate how influential each predictor was in forecasting retention of a service member.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2023
Accession Number
AD1213678

Entities

People

  • Jordan T. Thomas

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Army Personnel
  • Attrition
  • Classification
  • Computational Science
  • Data Mining
  • Domain Specific Programming Languages
  • Employment
  • Enlisted Personnel
  • Information Science
  • Institutional Review Board
  • Machine Learning
  • Management Personnel
  • Military Education
  • Military Personnel
  • Military Science
  • Military Training
  • Operations Research
  • Organizational Structure
  • Personnel Management
  • Predictive Modeling
  • Supervised Machine Learning
  • United States

Readers

  • Computational Modeling and Simulation
  • Military Leadership and Professional Education.
  • Naval Personnel Management