Using a Holistic Preadmission Assessment to Help Predict Second-Degree Nursing Student Success
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Updated: Mar 11, 2026

Using Learning Outcome Measures to assess Doctoral Nursing Education
Published on: June 21, 2010
Lisette Barton1, Angela Willis, Hsin-Hui Lin
1Author Affiliations: Assistant Professor (Dr Barton), School of Nursing, University of Houston, Sugar Land; Manager for the SIMCARE Center (Ms Willis), Chamberlain College of Nursing, Houston; and Associate Professor (Dr Lin), School of Education, Health Professions, and Human Development, University of Houston-Victoria, Texas.
Abstract:
The purpose of this study was to identify a profile of noncognitive preadmission characteristics that were associated with academic failure in a cohort of second-degree nursing students who applied to an urban school of nursing. Preadmission testing data for 86 students from a suite of assessments that predict performance in high-stress environments yielded unique characteristics that were associated with vulnerability to attrition. The findings support the use of holistic admissions criteria to promote success.
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