title: Predicting NCLEX-RN success in a diverse student population.
abstract: 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.
authors.affiliation: San Francisco State University, San Francisco, California 94132, USA. malameid@sfsu.edu
authors.forename: Marshall D
authors.initials: MD
authors.lastname: Alameida
authors.forename: Alice
authors.initials: A
authors.lastname: Prive
authors.forename: Harvey C
authors.initials: HC
authors.lastname: Davis
authors.forename: Lynette
authors.initials: L
authors.lastname: Landry
authors.forename: Andrea
authors.initials: A
authors.lastname: Renwanz-Boyle
authors.forename: Michelle
authors.initials: M
authors.lastname: Dunham
mesh_terms: D000124:Achievement; D000328:Adult; D016000:Cluster Analysis; D004508:Education, Nursing, Baccalaureate; D004521:Educational Measurement; D005260:Female; D006801:Humans; D008008:Licensure, Nursing; D016015:Logistic Models; D008297:Male; D044469:Racial Groups; D014505:Urban Population