Author : Ludivina R. Cometa
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)
Book Synopsis Evaluation of Admission Criteria as Predictor for Success in the First Semester of an Associate Degree in Nursing Program by : Ludivina R. Cometa
Download or read book Evaluation of Admission Criteria as Predictor for Success in the First Semester of an Associate Degree in Nursing Program written by Ludivina R. Cometa and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Attrition in the first semester of an ADN program tends to be high and remains a concern for nursing program administrators. Most unsuccessful students in nursing programs leave in the first or second semesters; therefore, studies are needed focused on this early part of ADN programs. One of the challenges for the admissions committee is to determine which admission criteria lead to student success. Nursing schools should choose applicants with the academic aptitude that can meet the demands of rigorous nursing coursework. The purpose of this descriptive correlational study was to evaluate the current admission criteria for a private, nonprofit college's ADN program and determine which criteria correlate with students' success in the first semester. Why some students fail the initial course, Fundamentals of Nursing (NUR101), is an important area of research. Analysis of admission criteria was conducted to determine the predictors of student success in this early part of the ADN program. This study used descriptive and inferential statistics to analyze the data. The independent variables were students' pre-nursing GPA, math grades, science grades, composite score on the TEAS V standardized nursing admission examination, and the college's selection point system (SPS). Also, student's demographic information: gender, age, marital status, student status (full-time/part-time), employment status (working/not working), household income, and prior degree (whether or not a student has an associate degree or higher) were included in the IV's. The dependent variable is the student's final grade in the first semester course of the ADN program. A nonprobability convenience sampling of 130 students comprised two cohorts of first-semester ADN students in the fall 2015 and spring 2016 semesters. The current admission criteria found significant were: Math Grade (p = .041), college GPA (p = .001), and Selection Point System (p =