Date of Award


Document Type


Degree Name

Master of Science in Nursing (MSN)

Committee Chair

Cindy Miller


The purpose of this quantitative study was to determine if Assessment Technologies Institute's (ATI) comprehensive predictor accurately predicts student results on the National Council Licensure Examination for Registered Nurses (NCLEX-RN) for graduates of an Associate Degree nurse program at a community college in the Northwestern part of North Carolina. The study was also used to determine the feasibility of the School of Nursing (SON) continuing to purchase the ATI standardized testing products for student use. This study evaluated the comprehensive predictor scores and first time pass/fail rates for graduates (N=285) from 2007 to 2011. All data was analyzed using IBM Statistical Package for the Social Sciences (SPSS) version 20 software, as well as a predictive accuracy spreadsheet provided by ATI to determine the overall predictive reliability. The mean on the predictor is significantly different for those who passed versus those who failed, which indicated that ATI's comprehensive predictor is predictive of success or failure on the NCLEX-RN for graduates of the Associate Degree Nurse program at the college (p = 0.000 < α = 0.05). Further analysis with ATI's Predictive Accuracy spreadsheet demonstrated an overall predictive reliability of only 78% for the population of students served by the SON at the college, which is less than the 87.5% predictive reliability reported by ATI. While 78% accuracy is high, it may not justify the cost of purchasing ATI's standardized tests for this student population.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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Nursing Commons