Factors Associated with Student Success in Online and Face-to-Face Delivery of Master of Science in Nursing Programs.
The purpose of this study was to identify academic and demographic characteristics of master's-level nursing students that predict successful program completion in face-to-face and online master's of science in nursing (MSN) programs. In addition, information was sought regarding online MSN students...
| Published in: | Teaching & Learning in Nursing Vol. 14; no. 3; pp. 203 - 208 |
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| Main Authors: | , , |
| Format: | research tables/charts Journal Article |
| Published: |
Elsevier B.V.
Jul2019
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137163131&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137163131 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15573087 2WO7 jtl: Teaching & Learning in Nursing issn: 15573087 maglogo: N pubinfo: dt: Jul2019 vid: 14 iid: 3 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 137163131 137163131 137163131 10.1016/j.teln.2019.03.007 137163131 ppf: 203 ppct: 5 formats: tig: atl: Factors Associated with Student Success in Online and Face-to-Face Delivery of Master of Science in Nursing Programs. aug: au: Cipher, Daisha J. Urban, Regina W. Mancini, Mary E. affil: College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, TX 76019-0407, USA sug: subj: Students, Nursing, Masters Academic Achievement Education, Nursing, Masters Learning Environment Human Retrospective Design Family Nurse Practitioners Faculty, Nursing Nursing Administration Descriptive Statistics Mann-Whitney U Test Pearson's Correlation Coefficient Chi Square Test Multiple Logistic Regression Algorithms Data Analysis Software Univariate Statistics Purposive Sample Odds Ratio Male Female Adult Middle Age Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: The purpose of this study was to identify academic and demographic characteristics of master's-level nursing students that predict successful program completion in face-to-face and online master's of science in nursing (MSN) programs. In addition, information was sought regarding online MSN students' retrospective appraisals of their program experience. This article reports survey results of 125 former students enrolled in 1 of 3 MSN programs: Family Nurse Practitioner, Nurse Educator, and Nursing Administration. Survey data collected included appraisals of quality, rigor, and preparation. The final survey sample included 125 respondents, of whom 92 were formerly enrolled in an online MSN program and 33 in an in-seat MSN program. Online and in-seat students did not significantly differ on any demographic or academic variables, nor the likelihood of graduation or discontinuation. Significant predictors of graduation included lower numbers of withdrawn classes and higher numbers of dropped classes. Program graduates reported moderate levels of confidence in their expanded career roles and moderate levels of certification examination preparation. Understanding the association between dropped classes, withdrawn classes, and persistence in MSN programs can assist academic program leaders to develop strategies to help their students to be successful. Identifying personal characteristics, situational variables, and academic factors that characterize persistence and predict graduation in MSN students is an area of study that requires further research. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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