Abstract
Purpose: In light of the recent IOM Report and Patricia Benner's study: A Call for Radical Transformation, we, as nurse educators, need to identify the barriers to a baccalaureate degree in nursing and create a seamless pathway for our RNs to achieve a baccalaureate degree in nursing. This quantitative research examined predictors of first time success on the NCLEX-RN Examination among transfer students in a baccalaureate degree program.
Methods: Benner's theory of novice to expert was used as a guiding framework. This research identified demographic and academic variables and their relationship to NCLEX-RN success on the first attempt. The data was analyzed with SPSS 17.0 software and the alpha level was set at p = .05. SPSS 17.0 was used to analyze both the descriptive and inferential statistics. The descriptive statistics included means, standard deviations and frequency distributions. The chi square test was used to determine if the frequency in each category is different from that which would be expected by chance. Correlational analysis was performed to determine if there are any significant relationships between the variables, using a Spearman rho correlation and a Pearson-r to determine the strength of the relationship among the criterion variables and NCLEX-RN success. Logistical regression was selected in an attempt to examine the relationships between multiple criterion variables and the dichotomous criterion variable of NCLEX-RN success.
Results: This research study, using logistic regression found final GPA was the strongest predictor of NCLEX-RN success. These research results will lead to the enhancement and modification of admission policies, remediation and mentoring and curriculum development in nursing.
Conclusions: If such predictors could be identified early and supported statistically with success on the NCLEX-RN, administrators and faculty could rest easier in regards to their NCLEX-RN pass rates and devote additional time to the more important areas of scholarship, teaching, and service to their institutions.
Sigma Membership
Unknown
Type
Presentation
Format Type
Text-based Document
Study Design/Type
N/A
Research Approach
N/A
Keywords:
Baccalaureate Transfer Students, NCLEX-RN Success, Predictors of success
Recommended Citation
Fortier, Mary Elizabeth, "Predictors of success on the NCLEX-RN among transfer BSN students" (2012). INRC (Congress). 217.
https://www.sigmarepository.org/inrc/2012/presentations_2012/217
Conference Name
23rd International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Brisbane, Australia
Conference Year
2012
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Acquisition
Proxy-submission
Predictors of success on the NCLEX-RN among transfer BSN students
Brisbane, Australia
Purpose: In light of the recent IOM Report and Patricia Benner's study: A Call for Radical Transformation, we, as nurse educators, need to identify the barriers to a baccalaureate degree in nursing and create a seamless pathway for our RNs to achieve a baccalaureate degree in nursing. This quantitative research examined predictors of first time success on the NCLEX-RN Examination among transfer students in a baccalaureate degree program.
Methods: Benner's theory of novice to expert was used as a guiding framework. This research identified demographic and academic variables and their relationship to NCLEX-RN success on the first attempt. The data was analyzed with SPSS 17.0 software and the alpha level was set at p = .05. SPSS 17.0 was used to analyze both the descriptive and inferential statistics. The descriptive statistics included means, standard deviations and frequency distributions. The chi square test was used to determine if the frequency in each category is different from that which would be expected by chance. Correlational analysis was performed to determine if there are any significant relationships between the variables, using a Spearman rho correlation and a Pearson-r to determine the strength of the relationship among the criterion variables and NCLEX-RN success. Logistical regression was selected in an attempt to examine the relationships between multiple criterion variables and the dichotomous criterion variable of NCLEX-RN success.
Results: This research study, using logistic regression found final GPA was the strongest predictor of NCLEX-RN success. These research results will lead to the enhancement and modification of admission policies, remediation and mentoring and curriculum development in nursing.
Conclusions: If such predictors could be identified early and supported statistically with success on the NCLEX-RN, administrators and faculty could rest easier in regards to their NCLEX-RN pass rates and devote additional time to the more important areas of scholarship, teaching, and service to their institutions.