On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012)

Long Range Planning, Vol. 47, Issue 3, pp. 154-160, 2014

Posted: 26 Apr 2014 Last revised: 9 Jul 2014

See all articles by Marko Sarstedt

Marko Sarstedt

Otto-von-Guericke-Universität Magdeburg; Otto-von-Guericke-Universität Magdeburg; University of Newcastle (Australia)

Christian M. Ringle

Hamburg University of Technology (TUHH)

Jörg Henseler

Institute for Management Research, Radboud University Nijmegen; Instituto Superior de Estatística e Gestão de Informação, Universidade Nova de Lisboa

Joseph F. Hair

Kennesaw State University

Date Written: 2014

Abstract

Rigdon’s (2012) thoughtful article argues that PLS-SEM should free itself from CB-SEM. It should renounce all mechanisms, frameworks, and jargon associated with factor models entirely. In this comment, we shed further light on two subject areas on which Rigdon (2012) touches in his discussion of CB-SEM and PLS-SEM. Rigdon (2012) highlights ways to make better use of PLS-SEM’s predictive capabilities, for example, by reverting to set correlations. We discuss this issue in more detail, highlighting the need to examine the predictive capabilities of models when developing and testing theories, and broach the issue of confirmatory versus exploratory modeling. As a result of our discussion, we call for the continuous improvement of the PLS-SEM method to uncover its capabilities for theory testing while retaining its predictive character.

JEL Classification: A00

Suggested Citation

Sarstedt, Marko and Ringle, Christian M. and Henseler, Jörg and Hair, Joseph F., On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012) (2014). Long Range Planning, Vol. 47, Issue 3, pp. 154-160, 2014, Available at SSRN: https://ssrn.com/abstract=2428790

Marko Sarstedt

Otto-von-Guericke-Universität Magdeburg ( email )

Universitätspl. 2
PSF 4120
Magdeburg, D-39106
Germany

Otto-von-Guericke-Universität Magdeburg ( email )

Universitätspl. 2
PSF 4120
Magdeburg, D-39106
Germany

University of Newcastle (Australia) ( email )

University Drive
Callaghan, NSW 2308
Australia

Christian M. Ringle (Contact Author)

Hamburg University of Technology (TUHH) ( email )

Am Schwarzenberg-Campus 4
Hamburg, 21073
Germany

HOME PAGE: http://www.tuhh.de/hrmo

Jörg Henseler

Institute for Management Research, Radboud University Nijmegen ( email )

Thomas van Aquinostraat 3
P.O. Box 9108
Nijmegen, 6500HK
Netherlands
+31 24 3611854 (Phone)
+31 24 3611933 (Fax)

HOME PAGE: http://www.ru.nl/fm/henseler

Instituto Superior de Estatística e Gestão de Informação, Universidade Nova de Lisboa ( email )

Campus de Campolide
Lisbon, 1070-312
Portugal

HOME PAGE: http://www.henseler.com

Joseph F. Hair

Kennesaw State University ( email )

1000 Chastain Rd
Kennesaw, GA 30144
United States

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