Reflections on Partial Least Squares Path Modeling

Détails

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Etat: Public
Version: de l'auteur⸱e
ID Serval
serval:BIB_CF0D23F7775A
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Reflections on Partial Least Squares Path Modeling
Périodique
Organizational Research Methods
Auteur⸱e⸱s
McIntosh C. N., Edwards J. R., Antonakis J.
ISSN
1094-4281
Statut éditorial
Publié
Date de publication
04/2014
Peer-reviewed
Oui
Volume
17
Numéro
2
Pages
210-251
Langue
anglais
Résumé
The purpose of the present article is to take stock of a recent exchange in Organizational Research Methods between critics (Rönkkö & Evermann, 2013) and proponents (Henseler et al., 2014) of partial least squares path modeling (PLS-PM). The two target articles were centered around six principal issues, namely whether PLS-PM: (1) can be truly characterized as a technique for structural equation modeling (SEM); (2) is able to correct for measurement error; (3) can be used to validate measurement models; (4) accommodates small sample sizes; (5) is able to provide null hypothesis tests for path coefficients; and (6) can be employed in an exploratory, model-building fashion. We summarize and elaborate further on the key arguments underlying the exchange, drawing from the broader methodological and statistical literature in order to offer additional thoughts concerning the utility of PLS-PM and ways in which the technique might be improved. We conclude with recommendations as to whether and how PLS-PM serves as a viable contender to SEM approaches for estimating and evaluating theoretical models.
Mots-clé
Structural equation modeling, Partial least squares, Causal analysis, Endogeneity
Web of science
Open Access
Oui
Création de la notice
05/02/2014 18:04
Dernière modification de la notice
20/08/2019 15:49
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