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

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

Research output: Contribution to journalReview articlepeer-review

27 Scopus citations

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
DOIs
StatePublished - Oct 2004

ASJC Scopus subject areas

  • Nursing(all)
  • Education

Fingerprint Dive into the research topics of 'The use of discriminant function analysis to predict student success on the NCLEX-RN'. Together they form a unique fingerprint.

Cite this