Issues

Special Issue: Current issues in composite-based and covariance-based structural equations modeling: What to do and when to do it. Guest Editor: Kevin E. Voss

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

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

Mikko Rönkkö; Nick Lee; Joerg Evermann; Cameron McIntosh; John Antonakis
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Comments on the article “Marketing or methodology? Exposing the fallacies of PLS with simple demonstrations” and PLS-SEM in general

Ke-Hai Yuan
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Rejoinder: fractures in the edifice of PLS

Mikko Rönkkö; Nick Lee; Joerg Evermann; Cameron McIntosh; John Antonakis
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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
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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
View articletitled, Predictive model assessment and selection in composite-based modeling using PLS-SEM: extensions and guidelines for using CVPAT
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Assessing the overall fit of composite models estimated by partial least squares path modeling

Florian Schuberth; Manuel E. Rademaker; Jörg Henseler
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A miracle of measurement or accidental constructivism? How PLS subverts the realist search for truth

John W. Cadogan; Nick Lee
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The proxy of Dorian Gray: scientific realism, construct validation and the way forward

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

Jörg Henseler; Florian Schuberth
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Scientific realism, the necessity of causal contact in measurement and emergent variables

John W. Cadogan; Nick Lee
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Composite-based and covariance-based structural equations modeling: moving forward by changing the dialogue

Kevin E. Voss
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