Author: Paula H. Bryant
Publisher:
ISBN:
Category :
Languages : en
Pages : 168
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Book Description
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: Cheryl A. Roat
Publisher:
ISBN:
Category : Nursing
Languages : en
Pages : 0
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Author: Kathryn Rhodes Alden
Publisher:
ISBN:
Category :
Languages : en
Pages : 197
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Book Description
Keywords: academic success, baccalaureate nursing education, retention.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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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: Linda Margaret Perry
Publisher:
ISBN:
Category :
Languages : en
Pages : 158
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Author: Linda M. Finke
Publisher:
ISBN:
Category :
Languages : en
Pages : 92
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Author: Patricia M. Schwirian
Publisher:
ISBN:
Category : Ability
Languages : en
Pages : 256
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Author: Lois S. Marshall
Publisher:
ISBN:
Category : Nursing students
Languages : en
Pages : 260
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Author: Cynthia A. McGuire
Publisher:
ISBN:
Category : Nursing schools
Languages : en
Pages : 318
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Book Description
The purpose of this study is to determine which nursing school entrance requirements and nursing school performance indicators best predict student performance in the nursing program at Bob Jones University. Part of successful nursing education is to carefully identify the students who have sufficient academic ability to complete the work in a rigorous course of study. This study is important because it can help to validate the current entrance requirements in this nursing program and also to ascertain whether any changes need to be made. Revising the entrance requirements, based on the findings from a careful research study, should lead to increased success in the nursing program and on the NCLEX-RN. In addition, no matter what the entrance requirements are, it is inevitable that students will be admitted into the nursing clinical courses who later demonstrate weaknesses that indicate a high risk for failure in the program and on the NCLEX-RN. Early remediation strategies with these students can increase the probability of their success. This study intends to use both the entrance requirements and nursing school performance indicators to identify those students, as early as possible in the nursing program, who will most benefit from early remediation. - Introduction.
Author: Nancy Petges
Publisher:
ISBN: 9781369000153
Category : Education, Higher
Languages : en
Pages : 180
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Book Description
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.
