A methodological review of structural equation modelling in higher education research

Green, Teegan (2015) A methodological review of structural equation modelling in higher education research. Studies in Higher Education, 41 12: 2125-2155. doi:10.1080/03075079.2015.1021670


Author Green, Teegan
Title A methodological review of structural equation modelling in higher education research
Journal name Studies in Higher Education   Check publisher's open access policy
ISSN 1470-174X
0307-5079
Publication date 2015-04-20
Year available 2015
Sub-type Article (original research)
DOI 10.1080/03075079.2015.1021670
Open Access Status Not yet assessed
Volume 41
Issue 12
Start page 2125
End page 2155
Total pages 31
Place of publication Abingdon, Oxon, United Kingdom
Publisher Routledge
Collection year 2016
Language eng
Abstract Despite increases in the number of articles published in higher education journals using structural equation modelling (SEM), research addressing their statistical sufficiency, methodological appropriateness and quantitative rigour is sparse. In response, this article provides a census of all covariance-based SEM articles published up until 2013 (N = 143) across eight leading higher education journals: The Review of Higher Education, Journal of Higher Education, Research in Higher Education, Higher Education, Studies in Higher Education, Assessment & Evaluation in Higher Education, Higher Education Research & Development and Journal of College Student Development. Several areas for improvement are found regarding the statistical application of SEM in higher education research. Recommendations are to focus on: building theoretically supported models, data screening, missing data, estimation methods, sample size and power, fit indices, validity and reliability and the testing of alternative models. Best-practice statistical guidelines for higher education researchers wishing to apply SEM to their research are provided.
Keyword structural equations modelling
methodological review
higher education research
covariance structure analysis
two-stage approach
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
UQ Business School Publications
 
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