European Journal of Marketing: Volume 57 Issue 6

Guest editorial: Current issues in composite-based and covariance-based structural equations modeling: what to do and when to do it

Kevin Voss

Marketing or methodology? Exposing the fallacies of PLS with simple demonstrations

Mikko Rönkkö, Nick Lee, Joerg Evermann, Cameron McIntosh, John Antonakis

Over the past 20 years, partial least squares (PLS) has become a popular method in marketing research. At the same time, several methodological studies have demonstrated problems…

Comments on the article “Marketing or methodology? Exposing the fallacies of PLS with simple demonstrations” and PLS-SEM in general

Ke-Hai Yuan

The purpose of this paper is to discuss the pros and cons of partial least squares approach to structural equation modeling (PLS-SEM). The topics include bias, consistency…

Rejoinder: fractures in the edifice of PLS

Mikko Rönkkö, Nick Lee, Joerg Evermann, Cameron McIntosh, John Antonakis

This study aims to provide a response to the commentary by Yuan on the paper “Marketing or Methodology” in this issue of EJM.

A comparative study of the predictive power of component-based approaches to structural equation modeling

Gyeongcheol Cho, Sunmee Kim, Jonathan Lee, Heungsun Hwang, Marko Sarstedt, Christian M. Ringle

Generalized structured component analysis (GSCA) and partial least squares path modeling (PLSPM) are two key component-based approaches to structural equation modeling that…

Predictive model assessment and selection in composite-based modeling using PLS-SEM: extensions and guidelines for using CVPAT

Pratyush N. Sharma, Benjamin D. Liengaard, Joseph F. Hair, Marko Sarstedt, Christian M. Ringle

Researchers often stress the predictive goals of their partial least squares structural equation modeling (PLS-SEM) analyses. However, the method has long lacked a statistical…

Assessing the overall fit of composite models estimated by partial least squares path modeling

Florian Schuberth, Manuel E. Rademaker, Jörg Henseler

This study aims to examine the role of an overall model fit assessment in the context of partial least squares path modeling (PLS-PM). In doing so, it will explain when it is…

A miracle of measurement or accidental constructivism? How PLS subverts the realist search for truth

John W. Cadogan, Nick Lee

This study aims to determine whether partial least squares path modeling (PLS) is fit for purpose for scholars holding scientific realist views.

The proxy of Dorian Gray: scientific realism, construct validation and the way forward

Edward Rigdon

This paper aims to clarify some of the representations regarding philosophy of science and statistical methods, which are contained in Cadogan and Lee (this issue).

Partial least squares as a tool for scientific inquiry: comments on Cadogan and Lee

Jörg Henseler, Florian Schuberth

In their paper titled “A Miracle of Measurement or Accidental Constructivism? How PLS Subverts the Realist Search for Truth,” Cadogan and Lee (2022) cast serious doubt on PLS’s…

Scientific realism, the necessity of causal contact in measurement and emergent variables

John W. Cadogan, Nick Lee

This study aims to correct errors in, and comment on the claims made in the comment papers of Rigdon (2022) and Henseler and Schuberth (2022), and to tidy up any substantive…

Composite-based and covariance-based structural equations modeling: moving forward by changing the dialogue

Kevin E. Voss

The purpose of this paper is to integrate the findings of articles appearing in European Journal of Marketing’s special section on covariance-based versus composite-based…