Relationships Among Selected Variables as a Measure of Success in an Associate Degree Registered Nurse Program PDF Download
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Author: Tonya Buttry
Publisher:
ISBN:
Category :
Languages : en
Pages : 118
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Book Description
Author: Tonya Buttry
Publisher:
ISBN:
Category :
Languages : en
Pages : 118
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Book Description
Author: Alice Patricia Fuller
Publisher:
ISBN:
Category : Nursing
Languages : en
Pages : 125
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Book Description
Author: Joyce Taylor Haynie
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 126
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Book Description
Author: Virginia Elizabeth Jones
Publisher:
ISBN:
Category : Nursing students
Languages : en
Pages : 48
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Book Description
Author: Nancy Dentlinger
Publisher:
ISBN: 9783836493420
Category : Education
Languages : de
Pages : 88
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Book Description
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.
Author: Linda L. Lowe
Publisher:
ISBN:
Category : Nurses
Languages : en
Pages : 114
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Book Description
Author: Glenda Marlene Donovan
Publisher:
ISBN:
Category : Associate degree nurses
Languages : en
Pages : 37
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Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 994
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Author: Margaret Ellen Sprague
Publisher:
ISBN:
Category :
Languages : en
Pages : 150
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Author: Linda Lisa Esper
Publisher:
ISBN:
Category : Nurses
Languages : en
Pages : 172
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Book Description
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.
