Predicting Academic Achievement And Retention Among Post Basic Nursing Students In A Baccalaureate Nursing Program Microform
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Author | : Virginia Susan Dahinten |
Publisher | : Ann Arbor, Mich. : University Microfilms International |
Total Pages | : 101 |
Release | : 1995 |
Genre | : Nursing |
ISBN | : |
Author | : Evelyn Ruth Hayes |
Publisher | : |
Total Pages | : 164 |
Release | : 1982 |
Genre | : Nursing schools |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 248 |
Release | : 1978 |
Genre | : Nursing |
ISBN | : |
Author | : Cynthia Lynette Westcott |
Publisher | : |
Total Pages | : 562 |
Release | : 1997 |
Genre | : Nursing schools |
ISBN | : |
Author | : Patricia M. Schwirian |
Publisher | : |
Total Pages | : 256 |
Release | : 1978 |
Genre | : Ability |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : |
Release | : 2004 |
Genre | : |
ISBN | : |
ABSTRACT ALDEN, KATHRYN RHODES. Predictors of Early Academic Success and Program Completion Among Baccalaureate Nursing Students. (Under the direction of Duane Akroyd.) The Nursing Undergraduate Retention and Success (NURS) Model (Jeffreys, 2004) was the theoretical framework for a study that examined the predictive value of selected cognitive (cumulative GPA, science GPA, science credits, previous degree, reading comprehension, math skill), noncognitive (stress), and demographic (age, ethnicity) student profile characteristics on the early academic success and on-time program completion of baccalaureate nursing students. The sample consisted of 370 BSN students at a public university in the Southeast. Data were collected from an existing student database. The dependent variable, early academic success, was based on grades in nursing courses during the first two semesters. The dependent variable, program completion, was measured as on-time graduation at the end of six semesters or graduation being delayed or denied. Three of the independent variables (reading comprehension, math skill, and stress) were measures from the Nurse Entrance Test. The results of logistic regression analysis showed that for the model predicting early academic success (Ï! = 57.76, p
Author | : Susan Jiin-Wei Hsia |
Publisher | : |
Total Pages | : 140 |
Release | : 1983 |
Genre | : |
ISBN | : |
Author | : Paula H. Bryant |
Publisher | : |
Total Pages | : 168 |
Release | : 2017 |
Genre | : |
ISBN | : |
Student success in a nursing program is a complex process that involves the interaction of student attributes, academic, psychological, social, and environmental factors. Using the Jeffreys's (2015) Nursing Undergraduate Retention and Success (NURS) Model, the purpose of this research was to determine the individual student profile characteristics, academic characteristics, and personal attributes and attitudes that predict outcome in a baccalaureate nursing program. Three hundred sixty-three records of students admitted to a baccalaureate nursing program at a small, public university in southwest Georgia from May 2009-August 2014 were reviewed. Binomial logistic regression analysis was utilized to determine if three categories of independent variables: (a) student profile factors, (b) self-reported attitudes and attributes, and (c) academic factors could predict student outcome in the nursing program. Research results from this study found that student profile factors, specifically age, sex, program designation, and socioeconomic status were not predictive of outcome. Further, results found that academic factors, grade point average, and TEAS test scores were highly predictive of student outcome. Lastly, the research found that higher scores in self-reported critical thinking ability and learning style preference were predictive of a favorable student outcome. Of importance to nursing education is how these results can be utilized for review and revision of admission, and progression policies. The use of GPA and standardized test scores is a common practice for admission committees and will likely continue to be a significant factor in admissions decisions. Further research is needed as to how other factors that affect student outcomes, attrition or completion could be used to guide admission decisions.
Author | : Mirinda Coetsee |
Publisher | : |
Total Pages | : 390 |
Release | : 1979 |
Genre | : |
ISBN | : |
Author | : Margaret Wilson |
Publisher | : |
Total Pages | : 378 |
Release | : 2001 |
Genre | : |
ISBN | : |