Download or read book Factors Predicting Success Among Students in One Associate Degree Nursing Program written by N. Jean Jeffers and published by . This book was released on 1984 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Predicting Tirst Term Success in an Associates Degree Nursing Program Using Cognitive and Noncognitive Factors written by Richard Hilton Turner and published by . This book was released on 2018 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the late 1990s the nursing field has experienced increased demand for RN’s as well as a number of internal and external factors that have worsened this problem. College admissions officers have struggled to identify those students who are most likely to persist in an associate degree nursing (ADN) program. Estimates of programmatic attrition vary, but fall somewhere between 25-50%. A great deal of research has been expended in an attempt to determine which preadmission variables are most likely to indicate programmatic success. Unfortunately, no “best set” of admissions variables has been identified. The purpose of this research was to identify cognitive and noncognitive predictors of success in an ADN program. These variables can then be used by nursing program administrators to help identify students during the admissions phase who are most likely to persist through the first term and potentially to degree completion. Bloom’s theory of school learning serves as the theoretical framework for this research. The participants in this study were 188 students (summer and fall cohorts) in the Associate of Science in Nursing (ASN) program at a large state college in the southeastern region of the United States. The research design was a quantitative, non-experimental, correlational design to predict the relationship between four input predictor variables and one criterion variable. The Health Education Systems Inc A2 assessment (HESI A2) and the Grit-S Scale were used to measure these input variables. Binary regression was used to analyze the resulting data. This research is critical in addressing nursing shortfalls, a pressing real world problem facing society at large, nursing in general, and college admissions departments for ADN programs in particular.

Download or read book Factors which Predict Success Or Failure in an Associate Degree Nursing Program written by Ann Bello and published by . This book was released on 1977 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Variables that Predict Success with Associate Degree Nursing Students at a Community College in Florida written by Linda Sheffield Miles and published by . This book was released on 2006 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: The results of the study supported the use of variables identified in Tinto's Longitudinal Model of Dropout (1975) for predicting program success with nursing students. Individual attributes and pre-college experiences were predictors of student success for this sample, and demographic differences were identified between successful and unsuccessful students.

Download or read book Admission Variables as a Predictor of First Semester Student Success written by Linda Lisa Esper and published by . This book was released on 2009 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current national shortage of practicing registered nurses is exacerbated by an accompanying shortage of nurse educators, which limits program enrollments in Associate Degree Nursing (ADN) programs. Relatively low available enrollment in nursing programs is coupled with a national first year retention rate of 64% (National League for Nursing Accrediting Commission [NLNAC], 2008), which leaves ADN educational leaders struggling to find improved ways to increase graduation rates through better identification of qualified applicants. This exploratory, action research study examined commonly used ADN admission criteria in order to identify those indicators which best predict students' first semester success at a small private northeastern United States college. The predictive ability of common ADN admission variables (TEAS scores in the areas of math, science, and English; overall TEAS score; age; gender; and math, science, and English course grades) was determined with regard to student success outcome variables (medication/math exam grade, Nurse Fundamental course grade, Nurse Health Assessment course grade, and Assessment Technology Institute [ATI] Nursing I Fundamental Content Mastery Series scores). Using an exploratory, action research design, data from 120 freshman nursing students were examined to assess the relative contributions of each of the predictor variables on forecasting students' first semester success. The study's methodology involved a simple correlation and regression analysis of the data. Selected Admission's variables were shown to be correlated to certain outcome variables. These Admission's variables included, the TEAS overall score, the last science course grade on admission (ACGs), the TEAS score in English, and the student's last earned English course on admission (ACGe). Only the TEAS total score showed correlation with success over a broad range of success score, i.e. ATIs, FUNg, and HAg. Overall, it was concluded that the ability of the admission variables to predict a specific score on student outcome assessment was weak. As a result of this study, the college's Admission office and nursing department will use the information to modify Admission's policies, develop pre-admission workshops, and continue to implement program initiatives to further support student success in an ADN nursing program. Further studies are warranted in order to assist other colleges in determining the level of academic qualifications most desirable in selecting students capable of success in their ADN nursing program.

Download or read book The Development of Academic Success Prediction Equations for Use in the Selection and Advisement of Student Nurses in an Associate Degree Nursing Program written by Lloyd Robert Pierson and published by . This book was released on 1975 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Predicting Success for Nontraditional Students in an Evening weekend Associate Degree in Nursing Program written by Tori L. Canillas-Dufau and published by . This book was released on 2005 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Prediction of Successful Nursing Performance written by Patricia M. Schwirian and published by . This book was released on 1978 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Prediction of Successful Nursing Performance written by and published by . This book was released on 1978 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Student Instructor and Program Factors Associated with Student Success in an Associate Degree Nursing Program written by Mary Furleigh Woerner and published by . This book was released on 1993 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 =

Download or read book Predicting Success in the Associate Degree Nursing Program written by Suzanne Johnson Crouch and published by . This book was released on 1999 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Case Study of Factors Leading to Student Success in an Accelerated Licensed Practical Nurse to Associate Degree Nursing Program written by Sherry Taylor and published by . This book was released on 2012 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This case study attempted to discover and comprehend the relationship of students and contributing factors of success, of one Licensed Practical Nurse (LPN) to Associate Degree in Nursing (ADN) program, to formulate an understanding of which contributing factors are most beneficial to enable students to persist to graduation and/or successfully pass the national nursing licensure examination. Multiple methods of data collection were used; a survey mailed to each of the 86 nursing graduates, three follow up focus group interviews with six graduates per group, a focus group interview with four nursing faculty, observation in classroom and clinical settings, and document analysis. Participants interested in participating in the study gave voluntary consent by returning the research consent form. The data gathered through the results of the survey, interviews, observations, and document analysis provided a basis for determining the noncognitive contributing factors possessed by the students and how these factors are perceived, by the nursing graduate, as contributing to student success in the nursing program and on the national nursing licensure examination.

Download or read book Predicting success for nontraditional students in an afternoon and evening weekend associate degree in nursing program written by Hernani Luison Ledesma (Jr) and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Prediction of Successful Nursing Performance written by Patricia M. Schwirian and published by . This book was released on 1977 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Variables to Predict Student Success in the First Year of an Associate Degree Program written by Diane Frazor and published by . This book was released on 2004 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Academic Success Factors Influencing Linguistically Diverse and Native English Speaking Associate Degree Nursing Students written by Josie Lynn Veal and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: To address the healthcare needs of vulnerable populations, nursing educators should evaluate educational preparedness and identify which factors influence a successive academic trajectory in nursing school. A prospective design was used to determine the relationships and differences among the anatomy and physiology course grade, self-efficacy, linguistic diversity, language acculturation, and components of the National League for Nursing pre-admission exam for registered nurses and first semester nursing course grades of linguistically diverse and native English speaking associate degree nursing students. A relationship exists between the PAX-RN composite score, anatomy mean grade, language diversity, and general self-efficacy score, the Nursing Pharmacology and Nursing Fundamentals course grades for associate degree nursing students. The PAX-RN composite score and the AP mean grade were related to all first semester courses for associate degree students. Differences existed in the academic success of linguistically diverse students and Native English speaking students on the PAX-RN composite scores and Nursing Fundamentals course grades. Students may approach prerequisite courses and preadmission exams differently if the predictive nature of these factors were addressed. Nurse educators can further explore essential admission criteria which may be necessary for academic success among all students, inclusive of diverse populations.