Download or read book Relationships Among Selected Variables as a Measure of Success in an Associate Degree Registered Nurse Program written by Tonya Buttry and published by . This book was released on 2003 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Relationship Among Selected Variables of Achievement in One Associate Degree Nursing Program and Success on State Boards written by Alice Patricia Fuller and published by . This book was released on 1981 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An Analysis of the Relationship Between Selected Variables and Academic Success of Students in an Associate Degree Nursing Program written by Joyce Taylor Haynie and published by . This book was released on 1989 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Relationships Among Specific Academic and Demographic Variables for Associate Degree Nursing Students which Indicate Success Or Failure on the NCLEX RN written by Virginia Elizabeth Jones and published by . This book was released on 1989 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Correlation of Selected Variables to Success in a Nursing Course written by Nancy Dentlinger and published by . This book was released on 2008-08-01 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nursing programs in the United States are not able to accept all qualified applicants. Because of a severe shortage of nurses, it is critical that schools of nursing accept the candidates most likely to be successful. This book reflects a study with two hundred and fifty subjects from eight different associate degree nursing programs located across the state of Oklahoma. The study explored the relationship between the individual independent variables of academic self-efficacy, prior academic success, demographic variables; and the dependent variable of success in a first semester associate degree-nursing course. Analysis of data was completed using the Pearson correlational statistic, followed by linear regression techniques. Variables that were statistically significant in predicting continuation to the second nursing course included the ACT composite score and total self-efficacy score. These variables accounted for only 8.6 of the variance in continuation status. Variables that were statistically significant in predicting course grade included the ACT composite and age. These variables accounted for only 9.1% of the variance in course grade.

Download or read book A Study of the Relationship Between Selected Variables and Successful Associate Degree Student Performance on the National Council Licensure Exam for Registered Nurses written by Linda L. Lowe and published by . This book was released on 1992 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Relationships Among Specific Academic and Demographic Variables for Associate Degree Nursing Students who Complete the Program written by Glenda Marlene Donovan and published by . This book was released on 1990 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book What is the Relationship of Selected Variables to Academic Success Or Nonsuccess in a Career Ladder Associate Degree Nursing Program written by Margaret Ellen Sprague and published by . This book was released on 1988 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 Evidence based Teaching written by Virginia R. Cassidy and published by Jones & Bartlett Learning. This book was released on 1999 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzes current educational research in subjects including the basics of evidence-based teaching, mentorship in nursing education, the teaching of psychomotor nursing skills in simulated learning labs, academic dishonesty, and prediction of success on the registered nurse licensure examination. Ann

Download or read book DHEW Publication written by and published by . This book was released on 1972 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book American Doctoral Dissertations written by and published by . This book was released on 2000 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Selected Input Throughput and Output Variables and Their Relationship to Academic Success in an Associate Degree Nursing Program written by Susan L. Reinhart and published by . This book was released on 1995 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Dissertation Abstracts International written by and published by . This book was released on 2008 with total page 994 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Relationship Between Associate Degree Nursing Student Variables and Graduates Success on the NCLEX RN Examination for Licensure written by Jacquelynne D. Ellis and published by . This book was released on 1992 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Planning for Nursing Needs and Resources written by United States. Public Health Service. Division of Nursing and published by . This book was released on 1972 with total page 216 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.