Anticipated Date of Graduation
Summer 2022
Document Type
Thesis
Degree Name
Master of Science in Mathematical Sciences
Department
Mathematical Sciences
First Advisor
Douglas Darbro
Abstract
The success of an associate degree nursing program is often dichotomized into either passing or failing the National Council Licensure Examination for registered nursing (NCLEX-RN). Not only are individual students’ nursing future dependent on successfully navigating this examination, but the licensing and accreditation of nursing education programs are determined by maintaining consistent first-time pass rates of their graduates. This study will investigate academic and demographic factors to determine significant predictors of first-time pass on the NCLEX-RN for the associate degree in nursing program at Shawnee State University.
Recommended Citation
Dittenber, Jeffery, "Predicting Success on the NCLEX-RN for Associate Degree Nursing Students from a Small Public University" (2022). Master of Science in Mathematics. 29.
https://digitalcommons.shawnee.edu/math_etd/29