Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Publication Type
Dissertations/Theses -… | 2 |
Reports - Research | 2 |
Journal Articles | 1 |
Education Level
Higher Education | 3 |
Audience
Location
Maine | 1 |
South Carolina | 1 |
Laws, Policies, & Programs
Assessments and Surveys
SAT (College Admission Test) | 4 |
ACT Assessment | 1 |
What Works Clearinghouse Rating
Smith, Ellen M. T. – ProQuest LLC, 2017
An equitable predictor of academic success is needed as nursing education strives toward comprehensive preparation of diverse nursing students. The purpose of this study was to discover how Sedlacek's (2004a) Noncognitive Questionnaire (NCQ) and Duckworth & Quinn's (2009) Grit-S predicted baccalaureate nursing student academic performance and…
Descriptors: Nursing Education, Predictor Variables, Grade Point Average, College Entrance Examinations
Mays, Trilla A. – ProQuest LLC, 2017
Administrators of nursing programs in community colleges are aware of the need to retain and to graduate students to meet the growing demand for licensed practical nurses (LPNs). High attrition in a 2-year nursing program in South Carolina affected the number of students either graduating as a LPN after completing the third semester, or continuing…
Descriptors: Nursing Education, Nursing Students, Community Colleges, Academic Persistence
Ukpabi, Chinasa Victor – Educational Research Quarterly, 2008
The primary purpose of this study was to specify the variables that would play the greatest role in predicting success of North Carolina Central University (NCCU) nursing graduates in the National Certification Licensure Examination for Registered Nurses (NCLEX-RN). Participants for this study include a convenience sample of 39 students who…
Descriptors: Nursing Education, Licensing Examinations (Professions), Predictor Variables, Discriminant Analysis
Henderson, Susan J.; Orr, Scott P. – 1989
A method was developed for identifying students who may be at high risk for failing the State Board Licensing Examination (SBE) for registered nurses. The subjects used in developing prediction equations included 50 students who graduated from the nursing program at Saint Joseph's College (SJC) in North Windham (Maine) during the years 1983-84.…
Descriptors: Certification, College Students, Equations (Mathematics), Failure