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Nclex-Rn Analysis

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Abstract

Student success on the National Council Licensure Examination for Registered Nurses (NCLEX-RN®, hereafter NCLEX-RN) examination is of paramount importance to both nursing students and nursing schools. Knowing which factors may influence success is helpful to schools of nursing in making decisions about admission requirements and curriculum. This work provides an analysis of variables from a baccalaureate nursing program used to determine predictors of NCLEX-RN® success and subsequent changes to admission requirements and curriculum. NCLEX-RN® pass rates are of interest to the faculty in professional nursing programs, institutions, and the profession, as they represent a measure of faculty and program effectiveness; accreditation agencies …show more content…

Bondmass, Moonie, and Kowalski studied the relationship of scores of the Nursing Entrance Test (NETTM) and Educational Resources, Inc (ERI) examination scores with NCLEX-RN success in a baccalaureate curriculum. Results indicated that nursing students who passed the NCLEX-RN® scored significantly higher on both of the other standardized examinations.2 Laucher, Newman, and Britt determined that the Health Education Systems, Inc. (HESI) Exit Examination was significantly predictive of success on the NCLEX-RN.6 Nibert, Young, and Adamson reported the results of the fourth annual validity study using the HESI as a predictor of NCLEX-RN success and found it to be highly predictive (98.3%) for registered nurse (RN) students, as was the case in the prior three …show more content…

Logistic regression for the analysis of data was used with NCLEX-RN passing success as the dependent variable. The predictor variables were science GPA, RN Assessment Test score, and four indicator variables for passing (with a C or better) the four first-semester nursing courses. Logistic regression is nonlinear, and was utilized because it allows prediction of a discrete outcome such as passing or failing. It also can be used when the independent variables are categorical or a mix of continuous and categorical, as they are in this study. The initial model included all the main effects, and interaction effects between the passing of the separate nursing courses and the science GPA and RN Assessment test score. The backward stepwise technique was used to eliminate predictor variables and interactions that were not significant predictors of NCLEX-RN

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