Predicting Academic Success in a Graduate Nursing Program PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Predicting Academic Success in a Graduate Nursing Program PDF full book. Access full book title Predicting Academic Success in a Graduate Nursing Program by Toni Ann Locke. Download full books in PDF and EPUB format.

Predicting Academic Success in a Graduate Nursing Program

Predicting Academic Success in a Graduate Nursing Program PDF Author: Toni Ann Locke
Publisher:
ISBN:
Category :
Languages : en
Pages : 75

Book Description
Statement of Problem: The rising demand for advanced practice nurses has created a demand in graduate nursing programs with limited capacities. Cognitive variables such as GPA, GRE, and nursing experience have been explored as predictors of academic success. Intuition, a non-cognitive variable, also plays an important part of the nursing process (McEwan & Goldenberg 1999). There are no prior studies that examined intuition and/or years of clinical experience predicting academic success in graduate nursing school that have been published. Sources of Data: Data were collected using a convenience sample of all nursing students currently enrolled in a Master's in Nursing Program at California State University, San Marcos. Students completed an online survey that included demographic data and The Smith (2007) 18-Item Intuition Instrument. Conclusions Reached: In this pilot study with an alpha level .20, the independent variables, high intuition score (p=.185) and years of experience as a RN (p=.031) were statistically significant predictors of the dependent variable, cumulative GPA

Predicting Academic Success in a Graduate Nursing Program

Predicting Academic Success in a Graduate Nursing Program PDF Author: Toni Ann Locke
Publisher:
ISBN:
Category :
Languages : en
Pages : 75

Book Description
Statement of Problem: The rising demand for advanced practice nurses has created a demand in graduate nursing programs with limited capacities. Cognitive variables such as GPA, GRE, and nursing experience have been explored as predictors of academic success. Intuition, a non-cognitive variable, also plays an important part of the nursing process (McEwan & Goldenberg 1999). There are no prior studies that examined intuition and/or years of clinical experience predicting academic success in graduate nursing school that have been published. Sources of Data: Data were collected using a convenience sample of all nursing students currently enrolled in a Master's in Nursing Program at California State University, San Marcos. Students completed an online survey that included demographic data and The Smith (2007) 18-Item Intuition Instrument. Conclusions Reached: In this pilot study with an alpha level .20, the independent variables, high intuition score (p=.185) and years of experience as a RN (p=.031) were statistically significant predictors of the dependent variable, cumulative GPA

Prediction of Academic Success in Graduate Nursing Programs

Prediction of Academic Success in Graduate Nursing Programs PDF Author: Lisa A. Anderson
Publisher:
ISBN:
Category : Prediction of scholastic success
Languages : en
Pages : 156

Book Description


Predicting Academic Success of MSN Students

Predicting Academic Success of MSN Students PDF Author: Cynthia L. Koomey
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 67

Book Description
Background: There is a great demand for nurses with advanced educational preparation in today's healthcare environment (American Association of Colleges of Nursing [AACN], 2017a). Enrollment and retention of MSN students is critical in order to meet the increased demand. Purpose: The purpose of this descriptive, correlational research design using secondary analysis was to examine six variables that may predict academic success in MSN students. The six variables were years since last formal educational degree, graduate nursing program site (online versus campus-based), academic pathway to graduate school (BSN versus RN-to-BSN), outside commitments (number of hours per week working in a paid job and number of children under 18 years of age living at home), and spouse/family members' level of support for students' educational endeavors. Method: Surveys were emailed to former MSN students at a large, public university with 125 completed surveys included in the data analysis. Multiple logistic regression was used to predict graduation. Findings: Of the 125 students, 75 (60%) had completed their MSN degree, and 50 (40%) had not completed and were marked as discontinued (inactive) students. The number of years since the students' last degree was significantly associated with higher likelihood of graduation. There was no association between program site, academic pathway, number of hours worked per week, number of children, and spouse/family members' level of support and graduation of MSN students. Discussion: Future studies should include qualitative research to explore specific categories of stressors experienced by students during their MSN education, so that support programs in those areas can be developed to help facilitate academic success. Quantitative studies should include larger sample sizes and possibly examine students' level of goal commitment as this could be an explanation for students with greater number of years since previous degree having increased academic success.

The Effectiveness of Admission Criteria in Predicting Academic Success of Baccalaureate Nursing Students

The Effectiveness of Admission Criteria in Predicting Academic Success of Baccalaureate Nursing Students PDF Author: Cynthia Lynette Westcott
Publisher:
ISBN:
Category : Nursing schools
Languages : en
Pages : 562

Book Description


Predicting Academic Success in Nursing School Applicants

Predicting Academic Success in Nursing School Applicants PDF Author: Jacob B. Berlin
Publisher:
ISBN:
Category : Nursing
Languages : en
Pages : 108

Book Description


Prediction of Successful Nursing Performance

Prediction of Successful Nursing Performance PDF Author: Patricia M. Schwirian
Publisher:
ISBN:
Category : Nurses
Languages : en
Pages : 248

Book Description


Prediction of Successful Nursing Performance

Prediction of Successful Nursing Performance PDF Author:
Publisher:
ISBN:
Category : Nursing
Languages : en
Pages : 248

Book Description


A Study Predicting Academic Success of Registered Nurse Students in Two Upper Division Nursing Programs in Illinois

A Study Predicting Academic Success of Registered Nurse Students in Two Upper Division Nursing Programs in Illinois PDF Author: Annie L. Lawrence
Publisher:
ISBN:
Category : Nursing students
Languages : en
Pages : 91

Book Description


Predictors of Academic Success for Undergraduate Nursing Students and Graduates

Predictors of Academic Success for Undergraduate Nursing Students and Graduates PDF Author: Claudia Dean Horton
Publisher:
ISBN: 9781109839074
Category : Academic achievement
Languages : en
Pages : 221

Book Description
The independent variables are demographics, prenursing science course grades, grades in junior and senior nursing courses and GPAs calculated at specific points in the educational process. The best variables to predict graduation are three junior level nursing courses, the junior level GPA, and the GPA of all nursing courses. For predicting passing NCLEX, the best predictors are ExitExams (the integration of scores earned on the Mosby's RN AssessTest and the RN Comprehensive Predictor exam), the junior level GPA, and the cumulative college GPA. Neither demographic variables, nor prenursing science course grades, nor the number of C grades earned in nursing courses were predictive of graduation or of passing NCLEX.

The Prediction of Academic Success in a Baccalaureate Nursing Program

The Prediction of Academic Success in a Baccalaureate Nursing Program PDF Author: Susan Jiin-Wei Hsia
Publisher:
ISBN:
Category :
Languages : en
Pages : 140

Book Description