Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling : A Comment on Yuan and Deng (2021)
Abstract
In their article, Yuan and Deng argue that a structural parameter under partial least squares structural equation modeling (PLS-SEM) is zero if and only if the same structural parameter is zero under covariance-based structural equation modeling (CB-SEM). Yuan and Deng then conclude that statistical tests on individual structural parameters assessing the null hypothesis of no effect can achieve the same purpose in CB-SEM and PLS-SEM. Our response to their article highlights that the relationship they find between PLS-SEM and CB-SEM structural parameters is not universally valid, and that consequently, tests on individual parameters in CB-SEM and PLS-SEM generally do not fulfill the same purpose.
Main Authors
Format
Articles
Research article
Published
2023
Series
Subjects
Publication in research information system
Publisher
Routledge
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202212135579Use this for linking
Review status
Peer reviewed
ISSN
1070-5511
DOI
https://doi.org/10.1080/10705511.2022.2134140
Language
English
Published in
Structural Equation Modeling : A Multidisciplinary Journal
Citation
- Schuberth, F., Rosseel, Y., Rönkkö, M., Trinchera, L., Kline, R. B., & Henseler, J. (2023). Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling : A Comment on Yuan and Deng (2021). Structural Equation Modeling : A Multidisciplinary Journal, 30(3), 339-345. https://doi.org/10.1080/10705511.2022.2134140
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Additional information about funding
Jörg Henseler gratefully acknowledges financial support from FCT Fundação para a Cincia e a Tecnologia (Portugal), national funding through a research grant from the Information Management Research Center—MagIC/NOVA IMS (UIDB/04152/2020).
Copyright© 2022 The Author(s). Published with license by Taylor & Francis Group, LLC