TY - JOUR
T1 - Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling
T2 - A Comment on Yuan and Deng (2021)
AU - Schuberth, Florian
AU - Rosseel, Yves
AU - Rönkkö, Mikko
AU - Trinchera, Laura
AU - Kline, Rex B.
AU - Henseler, Jörg
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT#
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/10.1080/10705511.2022.21 --- Funding: Jorg Henseler gratefully acknowledges financial support from FCT Fundação para a Ciência e a Tecnologia (Portugal), national funding through a research grant from the Information Management Research Center—MagIC/NOVA IMS (UIDB/04152/2020).
PY - 2023/5/4
Y1 - 2023/5/4
N2 - 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.
AB - 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.
KW - Bias correction
KW - Factor score regression
KW - Measurement error
KW - Partial least squares structural equation modeling (PLS-SEM)
UR - http://www.scopus.com/inward/record.url?scp=85142523559&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000889147200001
U2 - 10.1080/10705511.2022.2134140
DO - 10.1080/10705511.2022.2134140
M3 - Article
SN - 1070-5511
VL - 30
SP - 339
EP - 345
JO - Structural Equation Modeling-A Multidisciplinary Journal
JF - Structural Equation Modeling-A Multidisciplinary Journal
IS - 3
ER -