The Relationship between Socioeconomic Status (SES) and the National Council Licensure Examination for Registered Nurses: Comparing SES indicators in Mediated and Moderated Logistic Regression
Year: 2016
Type: article
Study design: Observational Study
Abstract: Passing the National Council Licensure Examination (NCLEX) is required for a graduate of an accredited nursing program to practice nursing.The current study investigated first time student success on the NCLEX-RN, which is the examination used to grant licensure to Registered Nurses (RNs) after graduation from an accredited institution such as a school or a college of nursing.Universities, colleges, faculty, students, parents, healthcare employers, the National Council of States Boards of Nursing (NCSBN), and society in general have a vested interest in the success of nursing students on the NCLEX-RN.It is imperative that nurses are properly prepared and competent in providing safe and reliable healthcare services.Failure to pass the NCLEX-RN prevents practice as an RN, resulting in potential financial hardship, professional embarrassment, and a continued shortage of qualified RNs.Existing data from nursing students (N = 1,176) at a large, Midwestern university were analyzed.The main purpose of this study was to examine the relationship between Socioeconomic Status (SES), the ACT, and the NCLEX-RN.Through moderation and mediation logistic regression models, the above relationships were investigated.Additionally, Conditional Process Analysis was used to gain a more in-depth understanding of the complexity of the relationship between SES, ACT, and the NCLEX-RN.Proxies of SES were explored, which included: (1) Pell Grant Eligibility, (2) Student Race, (3) College Generation (i.e., first-generation or non first-generation), and (4) Zip Code.ix V. DISCUSSION ..................................
Author: Timothy W. Meyers
Institution: Kent State University
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2506037570
