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 language | English |
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Pages (from-to) | 339-345 |
Number of pages | 7 |
Journal | Structural equation modeling |
Volume | 30 |
Issue number | 3 |
Early online date | 21 Nov 2022 |
DOIs | |
Publication status | Published - 4 May 2023 |
Keywords
- UT-Hybrid-D