6533b855fe1ef96bd12b141a
RESEARCH PRODUCT
Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling : A Comment on Yuan and Deng (2021)
Florian SchuberthYves RosseelMikko RönkköLaura TrincheraRex B. KlineJörg Henselersubject
partial least squares structural equation modeling (PLS-SEM)Sociology and Political ScienceUT-Hybrid-DGeneral Decision Sciencesrakenneyhtälömallitbias correctionMathematics and StatisticsmittausvirheetModeling and Simulationfactor score regressionvirheanalyysiGeneral Economics Econometrics and Financetilastolliset mallitmeasurement errordescription
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. peerReviewed
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2023-05-04 |