STATISTICALLY PREDICTING NAVY ENLISTED SAILORS LENGTH OF STAY
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Authors
Ko, Wonbin
Subjects
USN
Navy recruiting
enlisted sailor
retention
length of stay
Navy Enlisted
Navy recruiting
enlisted sailor
retention
length of stay
Navy Enlisted
Advisors
Yoshida, Ruriko
Date of Issue
2023-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Recruiting and retaining enlisted sailors has become an increasingly daunting task for the United States Navy. A significant number of Navy Enlisted sailors prematurely end their service after completing their initial term, leading to substantial financial implications for the Navy. This study aims to address this issue by analyzing a comprehensive dataset obtained from the Navy Enlisted System (NES) using survival analysis and various statistical techniques to conduct model selections. The primary objective is to predict years of their service and to identify the factors that correlate with the duration of enlisted sailors' tenure in the Navy. By accurately predicting the length of their service and understanding the influential factors, this research provides valuable insights for informed decision-making in recruitment-related matters. Through survival analysis and modeling techniques, we identify the factors associated with the likelihood of sailors leaving the Navy and use these insights to predict their length of stay. The findings of this research hold potential for the development of proactive measures to improve retention and reduce attrition rates, particularly considering the Navy's recruitment challenges.
Type
Thesis
Description
Series/Report No
Department
Operations Research (OR)
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NPS Report Number
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Citation
Distribution Statement
Approved for public release. Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.