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Systematic review: Predictors of students' success in baccalaureate nursing programs. | LitMetric

Systematic review: Predictors of students' success in baccalaureate nursing programs.

Nurse Educ Pract

Educational Leadership & Policy Analysis, College of Education, University of Missouri, Columbia, United States. Electronic address:

Published: October 2020

AI Article Synopsis

  • Nursing schools aim to create a diverse student body that is likely to succeed by promoting timely progression and effective educational resource use in 4-year baccalaureate programs.
  • A systematic literature review of 16 articles identified six measures of student success, including early academic performance, attrition, graduation rates, and course performance.
  • The review concluded that no single admission variable reliably predicts success, but a combination of factors like GPA and standardized test scores can improve prediction accuracy, suggesting the need for more research on relevant admission variables.

Article Abstract

Nursing schools strive to select a diverse student population who are likely to succeed by ensuring timely student progression through the program and effective use of educational sources. The purpose of this systematic literature review is to explore the preadmission variables and selection criteria that predict student success in 4-year baccalaureate nursing programs in the U.S. Sixteen articles met the eligibility criteria, and six measures were used to define student success: (a) early academic success, particularly during the first and second year; (b) attrition; (c) timely completion of the program; (d) graduation; (e) performance in nursing courses; and (f) academic performance in other science courses. Typically, the core set of cognitive predictors used in the admission process in nursing schools were pre-nursing GPA, pre-nursing collegiate science GPA, and scores on standardized aptitude exams. This review suggests that it is challenging to isolate one single variable as the best predictor of student success; however, using a combination of variables can offer a reliable prediction method. More researchers should consider using a theoretical basis to guide their inquiry on this topic. Additionally, researchers should examine admission variables that are most relevant across programs.

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Source
http://dx.doi.org/10.1016/j.nepr.2020.102865DOI Listing

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