Predictors of Academic Success for Undergraduate Nursing Students and Graduates

Predictors of Academic Success for Undergraduate Nursing Students and Graduates
Author: Claudia Dean Horton
Publisher:
Total Pages: 221
Release: 2006
Genre: Academic achievement
ISBN: 9781109839074

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.

Predictors of Early Academic Success and Program Completion Among Baccalaureate Nursing Students

Predictors of Early Academic Success and Program Completion Among Baccalaureate Nursing Students
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

Predictors of Persistence in Online Graduate Nursing Students

Predictors of Persistence in Online Graduate Nursing Students
Author: Denise Cauble
Publisher:
Total Pages: 66
Release: 2016
Genre: Distance education
ISBN:

Persistence is an important measure of success for individual students and institutions of higher learning. The purpose of this study was to explore personal and academic factors that influence persistence in online graduate nursing students. A predictive correlational study design was used. Data were extracted from existing student records in two online graduate programs within a large, urban college of nursing. A sample size of 197 graduate nursing students was selected, 94 who persisted to graduation from their program within 36 months and 103 who did not. Age, gender, race/ethnicity, undergraduate GPA, undergraduate education (BSN or RN-BSN level) were examined as predictors of persistence in the two online graduate nursing programs. In this study, undergraduate GPA emerged as a predictor of persistence to graduation. It is evident that there are other significant factors that affect persistence that have yet to be determined. By identifying students' characteristics of persistence, strategies can be developed to enhance success in online graduate nursing programs.

Nursing Student Retention

Nursing Student Retention
Author: Marianne R. Jeffreys
Publisher: Springer Publishing Company
Total Pages: 328
Release: 2004
Genre: Education
ISBN: 9780826134455

In the current nursing shortage, student retention is a priority concern for nurse educators, health care institutions, and the patients they serve. This book presents an organizing framework for understanding student retention, identifying at-risk students, and developing both diagnostic-prescriptive strategies to facilitate success and innovations in teaching and educational research. The author's conceptual model for student retention, "Nursing Undergraduate Retention and Success," is interwoven throughout, along with essential information for developing, implementing, and evaluating retention strategies. An entire chapter is devoted to how to set up a Student Resource Center. Most chapters conclude with "Educator-in-Action" vignettes, which help illustrate practical application of strategies discussed. Nurse educators at all levels will find this an important resource.

Predicting Academic Success in a Graduate Nursing Program

Predicting Academic Success in a Graduate Nursing Program
Author: Toni Ann Locke
Publisher:
Total Pages: 75
Release: 2014
Genre:
ISBN:

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

Measuring Noncognitive Variables

Measuring Noncognitive Variables
Author: William Sedlacek
Publisher: Taylor & Francis
Total Pages: 264
Release: 2023-07-03
Genre: Education
ISBN: 1000981282

Co-published in association with Big Picture Learning.Measuring Noncognitive Variables: Improving Admissions, Success, and Retention for Underrepresented Students is written for admissions professionals, counselors, faculty and advisers who admit, teach, or work with students during the admissions process and post-enrollment period. It brings together theory, research and practice related to noncognitive variables in a practical way by using assessment methods provided at no cost. Noncognitive variables have been shown to correlate with the academic success of students of all races, cultures, and backgrounds. Noncognitive variables include personal and social dimensions, adjustment, motivation, and student perceptions, rather than the traditional verbal and quantitative areas (often called cognitive) typically measured by standardized tests.Key Features include:* Models that raise concepts related to innovation, diversity and racism in proactive ways* Examples of admission and post-enrollment applications that show how schools and programs can use noncognitive variables in a variety of ways * Additional examples from foundations, professional associations, and K-12 programs* An overview of the limitations of traditional assessment methods such as admission tests, grades, and courses takenEducation professionals involved in the admissions process will find this guide effectively informs their practice. This guide is also appropriate as a textbook in a range of courses offered in Higher Education and Student Affairs Masters and PhD programs.