Heupel C
Mankato State University, MN.
J Prof Nurs. 1994 Jan-Feb;10(1):57-60. doi: 10.1016/s8755-7223(05)80042-0.
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.
本研究的目的是检验所选学术变量与美国国家执业护士执照考试（NCLEX-RN）成绩之间的关系，并确定一组预测NCLEX-RN考试成功的“最佳指标”。这些变量可作为可能无法通过NCLEX-RN考试的学生的早期指标。这项回顾性事后研究的样本包括152名基础学生，他们于1985年至1987年在中西部一所大型大学完成了护理学学士学位课程。通过多元回归分析对数据进行分析，以确定预测NCLEX-RN考试成功的最强变量组合。计算了区间水平标准变量与预测变量之间的皮尔逊积差相关系数。最佳预测指标是一门大二护理理论课程（N205）、一门大三护理理论课程（N311）、大三学年平均绩点（JGPA）和一门大四护理理论课程（N421）。本研究结果表明，所选护理理论课程和JGPA可用于统计模型，以预测NCLEX-RN考试的通过或失败情况。
