Predicting NCLEX-RN success in a diverse student population
| Autor: | Alice Prive, Lynette G. Landry, Marshall D Alameida, Michelle Dunham, Andrea Renwanz-Boyle, Harvey C Davis |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Licensure
Adult Male Student population Medical education Urban Population business.industry Nclex rn Racial Groups Licensure Nursing Standardized test Sample (statistics) Education Nursing Baccalaureate Demographic data Achievement Education Logistic Models Cluster Analysis Humans Female Educational Measurement business Psychology General Nursing Graduation |
| Zdroj: | The Journal of nursing education. 50(5) |
| ISSN: | 0148-4834 |
| Popis: | 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® (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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|