PREDICTIVE STATISTICAL MODELING OF NAVAL RESERVE OFFICERS TRAINING CORPS ATTRITION

Loading...
Thumbnail Image
Authors
Swenson, Zachary H.
Subjects
Naval Education Training Command
NETC
Naval Reserve Officer Training Corps
NROTC
attrition
predictive statistical modeling
classification
Advisors
Yoshida, Ruriko
Date of Issue
2020-12
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Attrition and the retention of talent is a concern for all organizations, but especially in the military. It is important to understand what factors influence attrition so that organizational leadership can optimize its purpose. This research examines attrition within Naval Reserve Officer Training Corps (NROTC) between 2013 and 2020. Using data provided by Naval Education Training Command (NETC), predictive statistical models aim to demonstrate what types of demographic, academic, and performance-based factors are important to predicting attrition among NROTC midshipmen. Modeling NROTC attrition behavior could enhance the NROTC Scholarship selection process, improve and organize attrition tracking in NROTC, and inform NETC on where resources should be allocated in order to improve program function. Furthermore, methods for tracking and predicting attrition, and for defining variable importance toward prediction, serve to inform other programs in decision-making processes surrounding attrition and talent retention.
Type
Thesis
Description
Series/Report No
Department
Operations Research (OR)
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
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.
Collections