Department of the Army Civilian Employee Attrition in Calendar Year 2009

Abstract

Despite the importance of human capital to the Department of Defense and U.S. Army, we do not have much research on civilian attrition-the reduction of workforce due to termination, resignation, retirement or death. Identifying attrition patterns helps organizations assess policy effects and organizational culture and forecast future workforce needs. This study analyzes attrition rates for Department of the Army (DA) civilian employees for the calendar year (CY) 2009 using a logistic regression model and multinomial logistic regression model and finds a 5.5% attrition rate for DA civilians in CY 2009. The study also finds that younger and older employees have a higher attrition rate, which corresponds to previous findings in our literature review. This study also shows that employees with lower credit federal service time (FS) were more likely to leave compared to those with a higher FS. Higher attrition among employees with less FS may be due to the fact that these employees are not fully invested in federal service. The study provides data and recommends helping DA leaders assess attrition patterns and causes among DA civilian employees which will, in turn, help to forecast future DA civilian employees strength.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2019
Accession Number
AD1073646

Entities

People

  • Racheal W. Mwangi

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Attrition
  • Baby Boomers
  • Business Administration
  • Department Of Defense
  • Education
  • Employment
  • Governments
  • Job Satisfaction
  • Literature Surveys
  • Losses
  • Management Personnel
  • Military Personnel
  • Motivation
  • National Security
  • Organizational Structure
  • Personnel Management
  • Personnel Retention
  • Probability
  • Public Administration
  • Public Policy
  • Security
  • Security Personnel
  • Training

Fields of Study

  • Business

Readers

  • Military Science
  • Personnel Management and Statistics in the Military and Department of Defense
  • Regression Analysis.