A Multiple Linear Regression Model for Predicting Zone A Retention by Military Occupational Specialty.

Abstract

The Selective Reenlistment Bonus (SRB) program is designed to offer an attractive reenlistment incentive to improved manning in critical skills. To efficiently manage the SRB program, a requirement exists to maintain MOS level estimating factors for use in projecting retention rate improvement as a function of SRB award level. This thesis formulates and solves a mathematical model which explains the variation in zone A retention rates as a function SRB award level and other factors believed significant in the reenlistment decision. To allow for comparison of the estimating factors associated with the SRB variable across MOS, an overall projection model was developed. Stepwise multiple linear regression analysis techniques were used on a subset of the enlisted MOS inventory in the model development phase of this analysis. The proposed overall model was then fitted to a second subset of MOS to validate the assumptions and effectiveness of the proposed linear model. Keywords: Least squares method; Skills; Personnel development.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1986
Accession Number
ADA175143

Entities

People

  • Ronald P. Higham

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Classification
  • Data Science
  • Databases
  • Enlisted Personnel
  • Information Science
  • Language
  • Linear Regression Analysis
  • Mathematical Models
  • Models
  • Motivation
  • Operations Research
  • Personnel Development
  • Personnel Management
  • Reenlistment
  • Regression Analysis
  • Statistics
  • United States

Readers

  • Computational Modeling and Simulation
  • Naval Personnel Management