Title

The Relationship Between Nursing Program Student Attrition and Selected Variables

Date of Award

1994

Degree Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Educational Leadership and School Counseling

First Advisor

Edgar H. Bedenbaugh

Advisor Department

Educational Leadership and School Counseling

Abstract

The four specific purposes of the study were: (1) To determine the relationship between the criterion variable of attrition of nursing students and the independent demographic variables of age and gender and the independent academic variables of pre-nursing GPA, NLN scores, and the number of transfer hours; (2) To determine the independent relationship between the criterion variable of attrition of nursing students and the demographic variables while controlling for the academic variables; (3) To determine the independent relationship between the criterion variable of attrition of nursing students and the academic variables while controlling for the demographic variables; and (4) To present descriptive data relative to the academic, demographic, and criterion variables of this study. A total of 137 nursing students from five admission classes at a small private institution in South Mississippi who were no longer in the nursing program because of graduation or attrition were the subjects of this ex post facto study. Most of the subjects were females. A total of 83 of the subjects successfully completed the program. Data were collected regarding the academic variables of the pre-nursing GPA, transfer hours, and the demographic variables of age and gender. Multiple correlation and semi-partial correlation statistical techniques were utilized to test the relationships among the criterion variable of attrition of nursing students and the independent variables of selected demographic and academic characteristics. There was a significant relationship between attrition and pre-nursing GPA and between attrition and NLN scores. No significance was found between attrition and transfer hours. There was no significant relationship between attrition and the set of demographic variables.