Honors Program Theses

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Honors Program Thesis (UNI Access Only)

First Advisor

Dan Bumblauskas

Keywords

Prediction of scholastic success; Business--Study and teaching (Higher); Business education;

Abstract

This research uses modeling to predict academic performance in upper level business core course and overall grade point average performance at Walnut U and identify the factors that affect this performance. The results of the regressions conducted found that students’ previous academic performance is a large predictor of individual course performance and overall performance. The race variable was unable to predict a student’s performance, neither could major when the student was a business major. Students with majors outside of business were predicted to have a lower course grade at Walnut U. This study will need to be expanded in the future to look at more courses and a larger group of students to confirm the results found at this time.

Year of Submission

2018

Department

Department of Management

University Honors Designation

A thesis submitted in partial fulfillment of the requirements for the designation University Honors

Date Original

12-2018

Object Description

1 PDF file (25 pages)

Language

en

File Format

application/pdf

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