title: A model for intervention and predicting success on the National Council Licensure Examination for Registered Nurses.
abstract: 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.
authors.affiliation: Mankato State University, MN.
authors.forename: C
authors.initials: C
authors.lastname: Heupel
mesh_terms: 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