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Cited by 215

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Reflections on Partial Least Squares Path Modeling

Open access
McIntosh, Cameron N., Edwards, Jeffrey R., Antonakis, John·2014·Organizational Research Methods
DOI 10.1177/1094428114529165
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Abstract

The purpose of the present article is to take stock of a recent exchange in Organizational Research Methods between critics and proponents of partial least squares path modeling (PLS-PM). The two target articles were centered around six principal issues, namely whether PLS-PM: (a) can be truly characterized as a technique for structural equation modeling (SEM), (b) is able to correct for measurement error, (c) can be used to validate measurement models, (d) accommodates small sample sizes, (e) is able to provide null hypothesis tests for path coefficients, and (f) 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 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.

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Metadata

Authors
McIntosh, C. N., Edwards, J. R., & Antonakis, J.
Venue
Organizational Research Methods
Publisher
SAGE Publications
Published
2014-04
Volume
17
Issue
2
Pages
210-251
ISSN
  • 1094-4281 (ISSN-L)
  • 1552-7425
DOI
10.1177/1094428114529165
OpenAlex
W2159759566
Cited by
215
References
32
FWCI
23.00
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Reflections on Partial Least Squares Path Modeling. https://app.cochat.ai/papers/10.1177/1094428114529165
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McIntosh, C. N., Edwards, J. R., & Antonakis, J. (2014). Reflections on Partial Least Squares Path Modeling. Organizational Research Methods. https://doi.org/10.1177/1094428114529165

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