Abstract
This study explored standardized testing outcomes used early in a baccalaureate nursing (BSN) education program in traditional and second-degree students in order to identify predictors of outcome on the program exit examination (HESI E2). Defining early predictors of student outcomes may more accurately identify student need for early intervention, offer timely remediation, optimize success, and minimize attrition in nursing education programs. The purpose of this correlational quantitative study was to determine if a relationship exists between student outcomes on four HESI specialty exams (fundamentals, health assessment, pathophysiology, and pharmacology) and the performance outcomes on the HESI E2.
Sigma Membership
Phi Iota
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Descriptive/Correlational
Research Approach
Quantitative Research
Keywords:
Exit Exams, Nursing Students, Nursing Education, Standardized Testing, Early Predictors of Outcomes
Advisor
Wanda P. Gwyn
Second Advisor
Dan Marlow
Degree
Doctoral-Other
Degree Grantor
Northcentral University
Degree Year
2016
Recommended Citation
Hansen, Cathy E., "Use of early specialty HESI exams as predictors of HESI exit examination performance in baccalaureate degree nursing program" (2022). Dissertations. 135.
https://www.sigmarepository.org/dissertations/135
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
2022-06-13
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 10100011; ProQuest document ID: 1783983501. The author still retains copyright.