Abstract

In Canada in 2015, the pass rates on the National Council Licensure Examination (NCLEX-RN) were considerably lower than pass rates on the Canadian Registered Nurse Examination (CRNE) causing nurse educators to express concern regarding the NCLEX-RN. The purpose of this study was to examine the relationship between candidate variables (e. g. academic performance, demographics) on their NCLEX-RN outcome (pass/fail). A cross-sectional data linkage design was employed using multiple sources of data on nursing graduates who wrote the NCLEX-RN in 2015, 2016 and 2017 (n = 259). Results showed that fewer questions answered on the NCLEX-RN and higher grades in various nursing courses (e. g. Introduction to Nursing, Statistics) predicted higher odds of passing the NCLEX-RN. To improve pass rates, nurse educators must integrate diverse methods of testing into existing curricula that mimic the NCLEX-RN exam, specifically computer adaptive exams. Further research is needed to determine other possible challenges for countries considering adopting the NCLEX-RN.

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