The use of discriminant function analysis to predict student success on the NCLEX-RN

Richard E. Haas, Katherine E. Nugent, Rebecca Rule

Research output: Contribution to journalReview article

27 Citations (Scopus)

Abstract

Predicting whether a student will be successful on the National Council Licensure Examination for Registered Nurses (NCLEX-RN®) has been an important endeavor for faculty in schools of nursing for the past 2 decades. Extensive documentation exists in the literature concerning research aimed at exploring the academic and nonacademic predictors of success on the NCLEX-RN. Reviews of the findings of these studies indicate that various factors emerge as academic predictors of success. The results of this study suggest that first-time success on the NCLEX-RN can be predicted with a high level of accuracy using existing student data. The findings also support the belief that it is possible to identify students who may be at risk for unsuccessful first time performance on the NCLEX-RN. Early identification of at-risk students will promote timely intervention strategies to optimize the students' potential for success.

Original languageEnglish (US)
Pages (from-to)440-446
Number of pages7
JournalJournal of Nursing Education
Volume43
Issue number10
StatePublished - Oct 1 2004

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National Council
Discriminant Analysis
Licensure
nurse
Nurses
Students
examination
student
School Nursing
intervention strategy
Documentation
documentation
nursing
Research
school
performance

ASJC Scopus subject areas

  • Nursing(all)
  • Education

Cite this

The use of discriminant function analysis to predict student success on the NCLEX-RN. / Haas, Richard E.; Nugent, Katherine E.; Rule, Rebecca.

In: Journal of Nursing Education, Vol. 43, No. 10, 01.10.2004, p. 440-446.

Research output: Contribution to journalReview article

Haas, Richard E. ; Nugent, Katherine E. ; Rule, Rebecca. / The use of discriminant function analysis to predict student success on the NCLEX-RN. In: Journal of Nursing Education. 2004 ; Vol. 43, No. 10. pp. 440-446.
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