A Methodological Review of Structural Equation Modelling in Higher Education Research

Autor/in	Green, Teegan
Titel	A Methodological Review of Structural Equation Modelling in Higher Education Research
Quelle	In: Studies in Higher Education, 41 (2016) 12, S.2125-2155 (31 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0307-5079
DOI	10.1080/03075079.2015.1021670
Schlagwörter	Higher Education; Educational Research; Structural Equation Models; Sample Size; Validity; Goodness of Fit; Reliability; Periodicals; Journal Articles; Statistical Analysis; Best Practices; Guidelines; Research Methodology; Literature Reviews; Search Strategies + Suchen Sie Ihr Suchwort? Hochschulbildung; Hochschulsystem; Hochschulwesen; Bildungsforschung; Pädagogische Forschung; Gültigkeit; Reliabilität; Periodical; Journal; Zeitschrift; Fachzeitschrift; Periodikum; Journal article; Zeitschriftenaufsatz; Statistische Analyse; Richtlinien; Research method; Forschungsmethode; Suchstrategie
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. (As Provided).
Anmerkungen	Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01