Identifying Predictor Variables for Success on NCLEX-RN in an Associate Degree Nursing Program

Identifying Predictor Variables for Success on NCLEX-RN in an Associate Degree Nursing Program PDF Author: Jill Lynette Keyser
Publisher:
ISBN:
Category :
Languages : en
Pages : 186

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Identifying Predictor Variables for Success on NCLEX-RN in an Associate Degree Nursing Program

Identifying Predictor Variables for Success on NCLEX-RN in an Associate Degree Nursing Program PDF Author: Jill Lynette Keyser
Publisher:
ISBN:
Category :
Languages : en
Pages : 186

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Admission Variables as a Predictor of First Semester Student Success

Admission Variables as a Predictor of First Semester Student Success PDF 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.

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.

Identifying Predictors of Success for the Computerized NCLEX-RN in Associate Degree Nursing Graduates

Identifying Predictors of Success for the Computerized NCLEX-RN in Associate Degree Nursing Graduates PDF Author: Tina Marie Kline
Publisher:
ISBN: 9781109727517
Category : Dissertations, Academic
Languages : en
Pages : 47

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Book Description
Failure of the NCLEX-RN is a significant problem with a farther reaching impact than just the individual student and program of nursing. Every student who is unsuccessful on the exam is one less registered nurse to provide patient care; therefore, increasing NCLEX-RN pass rates is essential to addressing the ongoing nursing shortage. The purpose of this study was to determine the relationship among nursing curriculum grade point average, performance in the biological science courses, performance in the theory portion of fundamentals and medical-surgical nursing courses, performance on the Assessment Technologies Institute RN comprehensive predictor examination, and role transition setting and success on the NCLEX-RN examination. Approval was obtained from the governing institution and community college's internal review board, to conduct a record review of the graduating nursing classes. Logistical regression was then performed to identify significant predictors of NCLEX success, including ACT and COMPASS reading scores, biological science GPA, performance in medical-surgical nursing courses, and ATI comprehensive predictor performance. Statistical analysis indicated that ACT/COMPASS reading scores, nursing curriculum and biological science GPA, and ATI comprehensive predictor performance were significant predictors of NCLEX-RN performance.

Critical Thinking as a Predictor of Success in an Associate Degree Nursing Program

Critical Thinking as a Predictor of Success in an Associate Degree Nursing Program PDF Author:
Publisher:
ISBN:
Category : Critical thinking
Languages : en
Pages :

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Book Description
Critical thinking is an important concept in nursing education and is thought to be necessary for success in nursing. The primary purpose of this study was to determine if critical thinking is predictive of success in a nursing program. Success was defined as passing the National Council of State Boards of Nursing licensing exam for registered Nurses (NCLEX-RN) on the first attempt. This study used an alternate measure of critical thinking, the Collegiate Assessment of Academic Proficiency (CAAP) critical thinking test. Multiple linear regression analysis was performed using passing the NCLEX-RN as the dependent variable and using critical thinking scores, GPA in nursing, and GPA in science courses as the independent variables. Results indicated that critical thinking scores were not predictive of success. Binary logistic regression analysis was performed to corroborate results and similar results were found. The student's GPA in nursing courses was, however, found to be a statistically significant predictor of success.

Predictors of Success on the NCLEX-RN for Associate Degree Nursing Graduates

Predictors of Success on the NCLEX-RN for Associate Degree Nursing Graduates PDF Author: Katrina Coleman Swain
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 87

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Book Description
The nursing shortage is a national issue that has ignited an increasing demand to address the importance of preparing students to be successful on the initial National Council of Licensure Examination for Registered Nursing (NCLEX-RN). Nursing programs are charged by the Board of Nursing to prepare graduates to be successful on the initial NCLEX-RN writing. Nursing programs have implemented admission criteria and advancement policies, in conjunction with computerized testing, to ensure that this is a plausible mandate. The purpose of this proposed dissertation research is to identify predictors that will determine measures of success on the initial writing of the NCLEX-RN for graduates of Associate Degree Nursing (ADN) programs in central Alabama.

NCLEX-RN Success

NCLEX-RN Success PDF Author: Wanda L. Jenkins
Publisher:
ISBN:
Category : National Council Licensure Examination for Registered Nurses
Languages : en
Pages : 60

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Identifying the Predictors of Success in a School of Nursing

Identifying the Predictors of Success in a School of Nursing PDF Author: Lita Faye Warise
Publisher:
ISBN:
Category : National Council Licensing Examination for Registered Nurses
Languages : en
Pages : 202

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Variables that Predict Success with Associate Degree Nursing Students at a Community College in Florida

Variables that Predict Success with Associate Degree Nursing Students at a Community College in Florida PDF Author: Linda Sheffield Miles
Publisher:
ISBN:
Category : College dropouts
Languages : en
Pages : 126

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Book Description
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.

Variables Predictive of Program and NCLEX Success for Associate Degree Nursing Students ...

Variables Predictive of Program and NCLEX Success for Associate Degree Nursing Students ... PDF Author: Thelma A. Percoco
Publisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 150

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