Abstract
This quasi-experimental, quantitative design based on a grand theory developed for this study explores whether a course designed to allow students to investigate their own environment will affect retention rates of nursing students. A convenience sample of 11 participants were recruited to take the course and data from 185 students was provided for the control group. The course was taken over the Summer and the retention was measured at the beginning of the Fall semester (R1), the end of the Fall semester (R2) and then at the beginning of the Spring semester (R3). The study demonstrated that there was a significant difference between the groups with a higher ranking of those who took the course for R2 but no difference between the groups for R1 and R3. This is a considerable finding that the Investigations into Economic Class in America course could help with retention rates of beginning nursing students.
Sigma Membership
Zeta Delta at-Large
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Quasi-Experimental Study, Other
Research Approach
Quantitative Research
Keywords:
Student Autonomy, Nursing Class Design, Student Retention
Advisor
Linda Cook
Degree
PhD
Degree Grantor
Oklahoma City University
Degree Year
2018
Recommended Citation
Martindale, Angela D., "Investigations into economic class and retention rates of nursing students" (2020). Dissertations. 1187.
https://www.sigmarepository.org/dissertations/1187
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2020-06-19
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 22624887; ProQuest document ID: 2307785136. The author still retains copyright.