A model for intervention and predicting success on the National Council Licensure Examination for Registered Nurses.
The purpose of this study was to examine the relationship of selected academic variables to National Council Licensure Examination for Registered Nurses (NCLEX-RN) performance and determine a "best set" of indicators predictive of NCLEX-RN success. These variables could be used as early indicators of students at risk for failing the NCLEX-RN. The sample for this retrospective ex post facto study included 152 basic students who completed the baccalaureate nursing program between 1985 and 1987 at a large midwestern university. Data were analyzed by using multiple regression analysis to determine the strongest combination of variables predicting NCLEX-RN success. Pearson's Product Moment Correlation Coefficients were computed between interval level criterion and predictor variables. The best predictors were a sophomore nursing theory course (N205), a junior nursing theory course (N311), the junior year grade point average (JGPA), and a senior nursing theory course (N421). Results of this study indicated that selected nursing theory courses and the JGPA could be used in a statistical model to predict pass or fail on the NCLEX-RN.
Heupel
C
C
Mankato State University, MN.
D000124:Achievement; D004508:Education, Nursing, Baccalaureate / Q000706:statistics & numerical data; D004521:Educational Measurement / Q000706:statistics & numerical data; D006801:Humans; D008008:Licensure, Nursing / Q000706:statistics & numerical data; D015146:Midwestern United States; D017145:Models, Educational; D011379:Prognosis; D012044:Regression Analysis; D012570:School Admission Criteria / Q000706:statistics & numerical data