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Related Experiment Videos

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
PubMed
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.

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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.

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  • 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.