Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling : A Comment on Yuan and Deng (2021)
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
Julkaistu sarjassa
Structural Equation Modeling : A Multidisciplinary JournalTekijät
Päivämäärä
2023Tekijänoikeudet
© 2022 The Author(s). Published with license by Taylor & Francis Group, LLC
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.
Julkaisija
RoutledgeISSN Hae Julkaisufoorumista
1070-5511Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/160162249
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Lisätietoja rahoituksesta
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).Lisenssi
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