Titre
Partial least squares path modeling: Time for some serious second thoughts
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Rönkkö, M.
Auteure/Auteur
McIntosh, C. N.
Auteure/Auteur
Antonakis, J.
Auteure/Auteur
Edwards, J. R.
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
ISSN
0272-6963
Statut éditorial
Publié
Date de publication
2016-03-15
Volume
47-48
Première page
9
Dernière page/numéro d’article
27
Peer-reviewed
Oui
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.
PID Serval
serval:BIB_48DA9B64F97F
Open Access
Oui
Date de création
2016-05-25T10:27:30.374Z
Date de création dans IRIS
2025-05-20T19:28:08Z
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Nom
BIB_48DA9B64F97F.P001.pdf
Version du manuscrit
preprint
Taille
3.95 MB
Format
Adobe PDF
PID Serval
serval:BIB_48DA9B64F97F.P001
URN
urn:nbn:ch:serval-BIB_48DA9B64F97F4
Somme de contrôle
(MD5):52e354eaea3157169e20863eff4866b6