Undergraduate Honors Thesis Projects
Date of Award
4-2015
Document Type
Honors Paper
Degree Name
Actuarial Science-BS
Department
Mathematical Sciences
Advisor
Matt McMullen
First Committee Member
Meredith Frey
Second Committee Member
Stephanie Patridge
Third Committee Member
Matt McMullen
Keywords
Otterbein University, Retention Rate, ACT Composite, High School Math, High School GPA, Logistic Regression
Subject Categories
Institutional and Historical | Multivariate Analysis | Other Applied Mathematics | Statistical Methodology | Statistical Models
Abstract
Binary logistic regression was used to study the relationship between high school math course selection and retention rates at Otterbein University. Graduation rates from postsecondary institutions are low in the United States and, more specifically, at Otterbein. This study is important in helping to determine what can raise retention rates, and ultimately, graduation rates. It directs focus toward high school math course selection and what should be changed before entering a post-secondary institution. Otterbein will have a better idea of what type of students to recruit and which students may be good candidates with some extra help. Recruiting is expensive, especially when the main purpose is having a higher retention rate because it leads to more funding and a more attractive appearing school to incoming students (Siekpe & Barksdale, 2013).
Recommended Citation
Fisher, Lauren A., "Relationship between High School Math Course Selection and Retention Rates at Otterbein University" (2015). Undergraduate Honors Thesis Projects. 3.
https://digitalcommons.otterbein.edu/stu_honor/3
Included in
Institutional and Historical Commons, Multivariate Analysis Commons, Other Applied Mathematics Commons, Statistical Methodology Commons, Statistical Models Commons