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A logistic regression model that predicts the probability of passing the NCLEX-RN(reg) examination
Abstract
The purposes of this research study were first to examine the relationship between scores on the Kaplan Diagnostic Exam and the Kaplan Readiness Test and the probability of passing the NCLEX-RN® examination; and second to develop a logistic regression model to determine scores on these Kaplan tests that predicted the probability of passing the NCLEX-RN ® examination. The research study sample consisted of candidates (n = 1030) who graduated from United States nursing schools who took the licensure examination for the first time after completing the Kaplan NCLEX-RN® Review course during the Spring and Fall of 2003. Study data included Kaplan Diagnostic Exam scores and Kaplan Readiness Test scores that were collected from the Kaplan database. The results of the study determined that the scores on the Kaplan Diagnostic Exam and Readiness Test were statistically significant (p < .001) and effective for predicting the probability of passing the NCLEX-RN® examination. The study employed a logistic regression analysis to determine the probability of passing the NCLEX-RN® examination based on these scores. The model that analyzed the Kaplan Diagnostic Exam and the Readiness Test scores was 93.9% effective in predicting candidate outcomes on the NCLEX-RN ® examination. Recommendations for future study include using samples not included in this study, United States graduates who failed the NCLEX-RN® examination and nurses who graduated from nursing schools outside of the United States.
Subject Area
Nursing|Educational administration
Recommended Citation
Burckhardt, Judith A, "A logistic regression model that predicts the probability of passing the NCLEX-RN(reg) examination" (2004). ETD collection for University of Nebraska-Lincoln. AAI3142073.
https://digitalcommons.unl.edu/dissertations/AAI3142073