Date of Award
2018
Document Type
Dissertation
Degree Name
Doctor of Health Administration
College
College of Health Professions
First Advisor
Jami Jones
Second Advisor
Walt Tobin
Third Advisor
Kit N. Simpson
Abstract
This retrospective quantitative study focused on two cohorts of associate degree nursing (ADN) students who started coursework in 2014 and 2015. Data consisted of demographics, high school grade point average (HSGPA), grades in biology courses, graduation status, and whether biology courses were completed prior to the start of the nursing program. Multivariable logistic regression modeling was performed to determine which, if any, of the demographic and academic variables were predictors of on-time graduation. Of the variables, minority race, grades in BIO 210, HSGPA, and completing biology courses prior to starting the ADN program were predictors of on-time graduation. The results of this study should be used to target at-risk students, improve student performance in BIO 210, and advise students to complete biology courses prior to starting the ADN program.
Recommended Citation
Brown, Stefanie Gadson, "Predicting Graduation from an Associate Degree Nursing Program Using Performance in Biology Coursework" (2018). MUSC Theses and Dissertations. 171.
https://medica-musc.researchcommons.org/theses/171
Rights
All rights reserved. Copyright is held by the author.