The Impact of Demographics and Military Factors Affecting Retention Rates of Female and Male Officers in the Surface Warfare and Restricted Line Communities

Abstract

This study analyzes factors that affect the retention of male and female officers, with specific emphasis on the surface warfare and restricted line communities. Specifically, the research examines whether family influence, dependent status, accession source, and undergraduate major are differentially related to retention by gender and community. The study evaluates officers from date of commissioning to the 10-year point in an effort to derive factors related to retention after reaching a major career milestone. A logistic regression model is used as the analytic strategy for the study. Descriptive statistics on independent and dependent variables are run, as appropriate, to show retention rates and outcomes from six cohorts while controlling for missing data, missing cases, and personnel who died prior to the 10-year point. The data set used in this study included officers who were commissioned in the military between 1988 and 1993. Only the Surface Warfare (nuclear and conventional), and Restricted Line (cryptology, intelligence, oceanography, and public affairs) officer communities were examined. The original data set of 84 variables and 9,867 cases was condensed to 4 categories of variables (i.e., demographics factors, military factors, gender and retention), comprising 10 major groups (i.e., age, ethnicity, education major, family status (married/children), commissioning source, prior enlisted, Community, Community Change (SWO lateral to RL), gender, and 10-year retention, yes or no), yielding 24 variables and 5,411 cases. The findings of this study will show whether the retention of female and male officers is related to the same predictors. It should provide data to policy makers and Navy personnel to better predict, control, and maintain retention rates.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA435606

Entities

People

  • Cherie R. Taylor

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • California
  • Data Analysis
  • Data Science
  • Demography
  • Department Of Defense
  • Descriptive Analytics
  • Enlisted Personnel
  • Families (Human)
  • Information Science
  • Military Personnel
  • Military Science
  • Naval Personnel
  • Regression Analysis
  • Statistics
  • United States
  • United States Naval Academy
  • Warfare

Readers

  • Naval Personnel Management