Date of Award
Fall 2019
Document Type
Thesis
Degree Name
Master of Science
Department
Mathematics
First Advisor
Dr. Dianna Galante
Second Advisor
Dr. Anne Morlet
Third Advisor
Nikki LaGrone
Abstract
Online enrollment at Illinois community colleges and Illinois public universities has increased from 2008-2018. The purpose of this study was to examine and model the statistical significance between Illinois community college online enrollment and key economic indicators from 2008-2018. The economic indicators chosen for the model were the Illinois Coincident Index and a binary dummy variable that represented typical Illinois state funding or lack thereof during the Illinois Budget Impasse. The method of modeling chosen was the ordinary least squares method. The research questions addressed the statistical significance of the Illinois Coincident Index and the dummy funding variable in 2008-2018 and 2008-2019 online enrollment models. The results of this study offer Illinois community college administrators a statistically significant, predictive model for online enrollment. Future modeling considerations to improve the statistical significance could include Illinois public university enrollment and the availability of federal and Illinois financial assistance.
Recommended Citation
Jennings, John D., "Modelling Illinois Community College Online Enrollments versus the Economy from 2008-2018" (2019). Mathematics Theses. 3.
https://opus.govst.edu/theses_math/3