Doctor of Philosophy (PhD), Ohio University, 2008, Higher Education (Education)

Nursing education programs are faced with the challenge of finding innovative ways to accommodate the growing interest in nursing programs. Educational programs in nursing are lacking the resources to adequately educate the number of students applying for admission. This study seeks to identify predictors of academic success in an LPN program at a two-year public technical college.Logistic regression analysis was used to analyze the research questions for this study. The overall model was 92.7% accurate in predicting academic success in the nursing program. Variables that were significant included math assessment test scores, age, GPA in anatomy and physiology, GPA in psychosocial courses, and GPA in pharmacology courses. The results indicated that early intervention strategies in the areas of academic support and tutoring could be developed to increase program completion rates.

Committee: Robert Young PhD (Committee Chair); Molly Weiland PhD (Committee Member); Gordon Brooks PhD (Committee Member); Peter Mather PhD (Committee Member) Subjects: Nursing