Publication Date
2016
Document Type
Dissertation/Thesis
First Advisor
Gyant, LaVerne, 1950-
Degree Name
Ed.D. (Doctor of Education)
Legacy Department
Counseling, Adult and Higher Education
LCSH
Nursing--Study and teaching (Higher); National Council Licensure Examination for Registered Nurses--Study guides; Education; Higher--Social aspects; Nursing students; Prediction of scholastic success; Higher education; Nursing; Demography
Abstract
This study examines the extent to which selected demographic characteristics (nontraditional student, English as a second language [ESL], male student, and first generation student) predict early-program success, successful on-time completion, and NCLEX-RN success in baccalaureate nursing education for a sample of students at a Midwestern university. To determine the relationships among study variables, correlational analysis was used. Logistic regression was utilized to examine the relationship of the predictive variables (nontraditional student, ESL student, male student, and first-generation student) to the outcome variables (early-program success, successful on-time completion, and NCLEX-RN success). In addition, descriptive statistics, including measures of central tendency (mean, median, and mode), variation (standard deviation), and frequency distributions, were utilized to analyze the data collected for five cohorts of students from 2009-2015.
Recommended Citation
Petges, Nancy, "Demographic characteristics as predictors for early program success, on-time completion, and NCLEX-RN success in a bachelor of science in nursing program" (2016). Graduate Research Theses & Dissertations. 2063.
https://huskiecommons.lib.niu.edu/allgraduate-thesesdissertations/2063
Extent
180 pages
Language
eng
Publisher
Northern Illinois University
Rights Statement
In Copyright
Rights Statement 2
NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.
Media Type
Text
Comments
Advisors: LaVerne Gyant.||Committee members: Jeanette Rossetti; Thomas J. Smith.