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Using an admissions exam to predict student success in an ADN program
P A Gallagher1, C Bomba, L R Crane
1William Rainey Harper College, Pallatine, Illinois, USA. pgallagh@harper.cc.il.us
Nurse Educator
|July 30, 2002
Summary
Nursing programs are using academic data to better select students likely to succeed in the nursing curriculum and pass the NCLEX-RN exam. This improves student retention and addresses the nursing shortage.
Area of Science:
- Nursing Education
- Student Success Metrics
Background:
- Selecting nursing students likely to succeed is critical due to high educational costs and workforce shortages.
- Nursing programs aim to improve student retention and NCLEX-RN pass rates.
Purpose of the Study:
- To evaluate academic achievement measures for predicting nursing student success.
- To provide data-driven insights for enhancing student selection and support.
Main Methods:
- Analysis of academic achievement data within a community college nursing program.
- Examination of predictive validity of various academic measures.
Main Results:
- Identified key academic indicators that correlate with student success in the nursing program.
- Provided actionable data for faculty to refine admission criteria.
Conclusions:
- Academic achievement measures can effectively predict nursing student success.
- Data-informed selection processes can improve nursing program outcomes and retention.