General systems theory guided evaluation of a remediation policy for students preparing for NCLEX-RN

Abstract

This ex-post facto quantitative study explored the relationship of GPA, HESI V1 scores, gender, cohort, semester, and hours of remediation on scores of HESI V2. Guided by general systems theory, multiple regression was used to predict the percentage of variance associated with each of the predictor variables.

Authors

Judith A. Egan

Author Details

Judith A. Egan, PhD, MSN, Marjorie K Unterberg School of Nursing and Health Studies, Monmouth University, West Long Branch, New Jersey, USA

Sigma Membership

Lambda Delta

Lead Author Affiliation

Monmouth University, West Long Branch, New Jersey, USA

Type

Presentation

Format Type

Text-based Document

Study Design/Type

N/A

Research Approach

Quantitative Research

Keywords:

General Systems Theory, NCLEX-RN, Policy

Recommended Citation

Egan, Judith A., "General systems theory guided evaluation of a remediation policy for students preparing for NCLEX-RN" (2019). INRC (Congress). 267.
https://www.sigmarepository.org/inrc/2019/presentations_2019/267

Conference Name

30th International Nursing Research Congress

Conference Host

Sigma Theta Tau International

Conference Location

Calgary, Alberta, Canada

Conference Year

2019

Rights Holder

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Acquisition

Proxy-submission