J Nurs Educ. 2014 Mar;53(3):151-9. doi: 10.3928/01484834-20140220-01.
Accurately predicting NCLEX-RN® success has a positive impact on all nursing education stakeholders. This study focused on the ability to predict NCLEX-RN pass rates on the basis of prenursing academic aptitude variables and the Assessment Technologies Institute (ATI) nursing aptitude program. The ATI predictors were the Test of Essential Academic Skills (TEAS) and fi ve ATI subject tests: Fundamentals, Medical Surgical, Nursing Care of Children, Mental Health, and Maternal Newborn. The prenursing variables comprised the prenursing grade point average, a prerequisite communication course, and the ATI TEAS composite subscores of TEAS Reading, TEAS Math, TEAS Science, and TEAS English. This study included participants from four baccalaureate nursing programs in the California State University system. Results of canonical correlation, multiple linear regression, and logistic regression revealed a significant correlation among prenursing, ATI scores, and NCLEXRN fi rst-try pass rates. Prediction of NCLEX-RN success rate using standardized testing data was supported, with the strongest predictors being the ATI Medical Surgical and ATI Mental Health tests.
准确预测 NCLEX-RN® 的成功对所有护理教育利益相关者都有积极的影响。本研究侧重于根据护理前学术能力变量和评估技术研究所 (ATI) 护理能力测试来预测 NCLEX-RN 通过率的能力。ATI 预测因子包括基本技能测试（TEAS）和五个 ATI 科目测试：基础、外科护理、儿童护理、心理健康和母婴。护理前变量包括护理前平均绩点、一门先决条件沟通课程以及 ATI TEAS 综合子分数，包括 TEAS 阅读、TEAS 数学、TEAS 科学和 TEAS 英语。本研究包括加利福尼亚州立大学系统内四个学士学位护理项目的参与者。典型相关、多元线性回归和逻辑回归的结果表明，护理前、ATI 分数和 NCLEX-RN 首次尝试通过率之间存在显著相关性。使用标准化测试数据预测 NCLEX-RN 的成功率得到了支持，最强的预测因子是 ATI 外科护理和 ATI 心理健康测试。
