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Using Structural Equation Modelling to Understand Predictors of Undergraduate Students’ Academic Performance

Theory and Method in Higher Education Research

ISBN: 978-1-78190-682-8, eISBN: 978-1-78190-683-5

Publication date: 13 August 2014

Abstract

This chapter argues that there are many, just many many variables which contribute to academic performance as measured in degree outcome, and, as such, simple bivariate analysis is inappropriate. We use structural equation modelling, and explore the contribution of academic behavioural confidence, to make the point that it does contribute to academic performance, but to a lesser extent than self-efficacy theory argues. We suggest that this is because degree outcome is made up of many efficacy variables, which we argue are better captured overall in academic behavioural confidence.

Acknowledgements

Acknowledgements

This research was funded through R&D Projects, ref. BSO2003-064494 (2003-2006), of the Ministry of Innovation, Science and Business, ref. SEJ2007-66843 (2007-2010), and ref. EDU2011-24805 (2011-2014) of the Ministry of Science and Innovation (Spain), and with Federal Funds (European Union).

Citation

Sander, P., Putwain, D. and de la Fuente, J. (2014), "Using Structural Equation Modelling to Understand Predictors of Undergraduate Students’ Academic Performance", Theory and Method in Higher Education Research (International Perspectives on Higher Education Research, Vol. 9), Emerald Group Publishing Limited, Leeds, pp. 219-241. https://doi.org/10.1108/S1479-3628(2013)0000009015

Publisher

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Emerald Group Publishing Limited

Copyright © 2013 Emerald Group Publishing Limited