Predicting NCLEX-RN Success in a Diverse Student Population

被引:29
作者
Alameida, Marshall D. [1 ]
Prive, Alice [1 ]
Davis, Harvey C. [1 ]
Landry, Lynette [1 ]
Renwanz-Boyle, Andrea [1 ]
Dunham, Michelle [2 ]
机构
[1] San Francisco State Univ, San Francisco, CA 94132 USA
[2] Assessment Technol Inst LLC, Stilwell, KS USA
关键词
PERFORMANCE;
D O I
10.3928/01484834-20110228-01
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Many schools of nursing have implemented standardized testing using platforms such as those developed by Assessment Technologies Institute (ATI) to better prepare students for success on the National Council Licensure Examination for Registered Nurses (R) (NCLEX-RN). This study extends and replicates the research on standardized testing to predict first-time pass success in a diverse student population and across two prelicensure program types. The final sample consisted of 589 students who graduated between 2003 and 2009. Demographic data, as well as academic performance and scores on the ATI RN Comprehensive Predictor, were analyzed. The findings in this study indicate that scores on the ATI RN Comprehensive Predictor were positively, significantly associated with first-time pass success. Students in jeopardy of failing the NCLEX-RN on their first attempt can be identified prior to graduation and remediation efforts can be strengthened to improve their success.
引用
收藏
页码:261 / 267
页数:7
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