Structural parameters under partial least squares and covariance-based structural equation modeling: A comment on Yuan and Deng (2021)

Florian Schuberth*, Yves Rosseel, Mikko Rönkkö, Laura Trinchera, Rex B. Kline, Jörg Henseler

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)
35 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)339-345
Number of pages7
JournalStructural equation modeling
Volume30
Issue number3
Early online date21 Nov 2022
DOIs
Publication statusPublished - 4 May 2023

Keywords

  • UT-Hybrid-D

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