A Study Investigating the Predictors of Attrition in an Associate Degree Nursing Program

A Study Investigating the Predictors of Attrition in an Associate Degree Nursing Program PDF Author: Patricia A. Gagliano
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 300

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A Study Investigating the Predictors of Attrition in an Associate Degree Nursing Program

A Study Investigating the Predictors of Attrition in an Associate Degree Nursing Program PDF Author: Patricia A. Gagliano
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 300

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Predictors of Attrition Among Graduates of an Associate Degree Nursing Program

Predictors of Attrition Among Graduates of an Associate Degree Nursing Program PDF Author: Aaron P. Donsky
Publisher:
ISBN:
Category : Nursing
Languages : en
Pages : 19

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Attrition in an Associate Degree Program: The Lived Experience of the Nursing Student

Attrition in an Associate Degree Program: The Lived Experience of the Nursing Student PDF Author: Leanne Rogstad
Publisher:
ISBN: 9781321196979
Category :
Languages : en
Pages : 131

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Abstract : Using Wylie's (2004) Model of Non-Traditional Student Attrition as the theoretical framework, results of the analysis revealed student- and nursing-program-related factors that facilitate or hinder successful completion of the program. Barriers of completion included (a) amount and difficulty of course requirements, (b) difficult test rubrics, (c) ineffective instructors, (d) full-time teaching, (e) difficulty in balancing work, family, and school responsibilities, (f) language barriers, and (g) separation of work and school environment. Results of the study further showed that resolution of students' personal obstacles hindering program completion included (a) time and financial management, (b) establishing good relationships with instructors, and (c) use of student support services. While there is a plethora of extensive studies that have developed theories to explain students' early departure from nursing programs, there are only limited studies conducted with respect to nurse programs' retention or attrition in terms of the factors that lead to success in nursing programs. This current study investigated the lived experiences of students currently enrolled in an Associate Degree in Nursing (ADN) program as well as those who have dropped out of the program at a Midwest community college. Data were collected from 13 participants who participated in the semi-structured interview and were analyzed through a modified Moustakas (1994) van Kaam method. Results can be utilized by educational institutions to create ways to eliminate these barriers. Colleges might be more willing to provide additional student support during enrollment if the external factors that help students achieve success could be identified.

An Exploration of Attrition, Retention, and Predictors of Success in Associate Degree Nursing Programs

An Exploration of Attrition, Retention, and Predictors of Success in Associate Degree Nursing Programs PDF Author: Eileen Neville
Publisher:
ISBN:
Category : Nursing students
Languages : en
Pages : 336

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Grade Point Average as a Predictor of Timely Graduation from Associate Degree Registered Nursing Programs

Grade Point Average as a Predictor of Timely Graduation from Associate Degree Registered Nursing Programs PDF Author: Delores J. Jackson
Publisher:
ISBN:
Category : College dropouts
Languages : en
Pages : 198

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The purpose of this study was to determine if admission selection strategies that utilize cumulative and/or pre-requisite GPA are predictive of timely graduation for associate degree nursing (RN-AD) students. Data were obtained from de-identified records of 437 associate degree nursing students enrolled in three Midwest community colleges from 2003-2006. Of the total sample, only 44% of the students graduated on time (i.e., in four semesters or two years). Although a statistically significant difference was found for timely graduation rates between colleges (ranging from 29% in College B to 54% in College A), no relationship was found for cumulative GPA, pre-requisite GPA, age or race/ethnicity with timely graduation in the total sample (N=437). Logistic regression revealed that neither cumulative nor pre-requisite GPA was predictive of timely graduation even after controlling for college. The rationale for using selective admission criteria that include per-requisite or cumulative GPA is based on the assumption that competitive admission criteria using grades draw the most qualified students with the highest probability for graduatrion. The results of this study do not support the assumption that those with the highest probability of graduating on time can be found by admitting individuals by pre-requisite or cumulative GPA. Other factors for timely graduation from associate degree nursing programs must be investigated to determine which independent variables are predictive of timely graduation, including research that targets single science courses and cluster variables as predictors. In addition, further research into reasons for high attrition rates and prolonged graduation are urgently needed.

Predicting Tirst Term Success in an Associates Degree Nursing Program Using Cognitive and Noncognitive Factors

Predicting Tirst Term Success in an Associates Degree Nursing Program Using Cognitive and Noncognitive Factors PDF Author: Richard Hilton Turner
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 125

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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.

Prediction of Successful Nursing Performance

Prediction of Successful Nursing Performance PDF Author: Patricia M. Schwirian
Publisher:
ISBN:
Category : Ability
Languages : en
Pages : 256

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Prediction of Successful Nursing Performance

Prediction of Successful Nursing Performance PDF Author:
Publisher:
ISBN:
Category : Nursing
Languages : en
Pages : 248

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An Investigation of Multidimensional Variables Affecting Academically Dismissed Associate Degree Nursing Student Program Completion

An Investigation of Multidimensional Variables Affecting Academically Dismissed Associate Degree Nursing Student Program Completion PDF Author: Kelly J. Dries
Publisher:
ISBN:
Category : Associate degree nurses
Languages : en
Pages : 280

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Nursing student retention and program completion is of increasing concern as the United States anticipates a projected shortfall in the number of registered nurses (Bureau of Labor Statistics, 2012). The purpose of the study was to identify the multidimensional variables which impact attrition and program completion of Associate Degree Nursing (ADN) students who have been academically dismissed from a large urban technical college in the Midwest. The following research questions guided the study: What student characteristics, support for learners, and student effort variables do readmission ADN students perceive as influencing nursing program attrition? What student characteristics and outcome measures impact program completion for ADN readmission students? Using Tinto's Longitudinal Model of Departure from Institutions of Higher Education (1987), Jeffreys' Nursing Undergraduate Retention and Success Model (2004), and findings from the Center for Community College Survey of Student Engagement (CCCSE, 2012), an original theoretical framework entitled, Readmission Nursing Student Success Model (Dries & Van Eerden, 2013) was created to incorporate a range of academic and non-academic variables which impact readmission ADN student attrition and program completion. Quantitative methodology was employed to explore impacting variables using data collection techniques of survey and retrospective record review. Twenty-six respondents participated in a survey to ascertain the perceived impact of non-academic variables on readmission ADN student attrition. Ex post facto records from 179 readmission ADN students were analyzed to identify student characteristics and student outcome measures (i.e., age, race, final grade in science and nursing courses, GPA) that impact nursing program completion. Findings of the study suggest that students earning a final grade of B+ or higher in the Nursing Fundamentals course (NRSAD101) course were predicted to complete the ADN program. In addition, readmission ADN students who were 33 years or older, decrease their odds of completing the ADN program by 1.44% for each year of age. The study also points to significant non-academic variables (i.e., finances, job hours worked, and hardship events; friend and peer support, nursing simulation, personal study skills, commitment to studying, completion of assignments, and ability to comprehend course content) which impact ADN student attrition.

Resources in Education

Resources in Education PDF Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 780

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