An Analysis and Development of a Production Predictor Model for the Army Reserve Officer Training Corps Program

Abstract

The purpose of this thesis is to examine and model the Army Reserve Officer Training Corps (ROTC) commissioning process in terms of several possible explanatory variables. Each of the variables, which included unemployment rate, average yearly college tuition, ROTC enrollment by class, advertising budget, scholarship program and propensity towards military service, were analyzed for trends in the data with respect to the dependent variable, the number of second lieutenants commissioned in a year. Four regression models were fitted to numerous combinations of the explanatory variables and the dependent variable. Three were found to be significant and possess the potential to predict the number of second lieutenants commissioned each year within the range of the data used for modeling. Keywords: Regression analysis, Army personnel, Theses.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA201809

Entities

People

  • William C. Hopkinson

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Attrition
  • Computer Programs
  • Data Analysis
  • Distribution Functions
  • Education
  • Military Science
  • Normal Distribution
  • Regression Analysis
  • Reserve Officer Training Corps
  • Scholarships
  • Schools
  • Students
  • Surveys
  • Training
  • Unemployment
  • United States Military Academy

Fields of Study

  • Education

Readers

  • Computational Modeling and Simulation
  • Military Leadership and Professional Education.