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5 - The Application of Partial Least Squares Structural Equation Modeling in Studies of EMI

An Empirical Demonstration and Application Prospect

from Part II - Empirical Chapters (Case Studies)

Published online by Cambridge University Press:  14 December 2024

By
Chia-Wei Tang ,
Yu-Hui Chang ,
Dale L. Albanese  and
Hsueh-Hua Chuang
Edited by
Samantha M. Curle  and
Jack Pun
Samantha M. Curle
Affiliation:
University of Bath
Jack Pun
Affiliation:
City University of Hong Kong
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Summary

Covariance-based SEM (CB-SEM) has become one of the most prominent statistical analysis techniques in understanding latent phenomena such as students and teachers’ perceptions, attitudes, or intentions and their influence on learning or teaching outcomes. This chapter introduces an alternative technique for SEM, variance-based partial least squares SEM (PLS-SEM), which has multiple advantages over CB-SEM in several situations commonly encountered in social sciences research. A case study in the English Medium Instruction (EMI) context is also demonstrated as an example to facilitate comprehension of the method. The chapter concludes with a discussion of potential applications for other EMI-related contexts and lines of inquiry.

Keywords

Covariance-based SEMpartial least squares SEMlatent phenomenaEnglish Medium Instructionsocial sciences research
Type
Chapter
Information
Researching English Medium Instruction
Quantitative Methods for Students and Researchers
 , pp. 73 - 91
Publisher: Cambridge University Press
Print publication year: 2024

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