Partial least squares path modeling: Time for some serious second thoughts

Détails

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Etat: Public
Version: de l'auteur
ID Serval
serval:BIB_48DA9B64F97F
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Partial least squares path modeling: Time for some serious second thoughts
Périodique
Journal of Operations Management
Auteur(s)
Rönkkö M., McIntosh C. N., Antonakis J., Edwards J. R.
ISSN
0272-6963
Statut éditorial
Publié
Date de publication
15/03/2016
Peer-reviewed
Oui
Volume
47-48
Pages
9-27
Langue
anglais
Résumé
Partial least squares (PLS) path modeling is increasingly being promoted as a technique of choice for various analysis scenarios, despite the serious shortcomings of the method. The current lack of methodological justification for PLS prompted the editors of this journal to declare that research using this technique is likely to be deck-rejected (Guide and Ketokivi, 2015). To provide clarification on the inappropriateness of PLS for applied research, we provide a non-technical review and empirical demonstration of its inherent, intractable problems. We show that although the PLS technique is promoted as a structural equation modeling (SEM) technique, it is simply regression with scale scores and thus has very limited capabilities to handle the wide array of problems for which applied researchers use SEM. To that end, we explain why the use of PLS weights and many rules of thumb that are commonly employed with PLS are unjustifiable, followed by addressing why the touted advantages of the method are simply untenable.
Mots-clé
Partial least squares, Structural equation modeling, Statistical and methodological myths and urban legends
Web of science
Open Access
Oui
Création de la notice
25/05/2016 11:27
Dernière modification de la notice
20/08/2019 13:55
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