publication . Other literature type . Article . 2016

Partial least squares path modeling: Time for some serious second thoughts

McIntosh, Cameron N.; Antonakis, John; Edwards; Jeffrey, R.; Rönkkö, Mikko;
Open Access
  • Published: 01 Nov 2016
  • Publisher: Wiley
Abstract
Abstract Partial least squares (PLS) path modeling is increasingly being promoted as a technique of choice for various analysis scenarios, despite the serious shortcomings of the method. The current lack of methodological justification for PLS prompted the editors of this journal to declare that research using this technique is likely to be desk-rejected (Guide and Ketokivi, 2015). To provide clarification on the inappropriateness of PLS for applied research, we provide a non-technical review and empirical demonstration of its inherent, intractable problems. We show that although the PLS technique is promoted as a structural equation modeling (SEM) technique, it...
Subjects
free text keywords: Partial least squares; Structural equation modeling; Statistical and methodological myths and urban legends, Management Science and Operations Research, Strategy and Management, Industrial and Manufacturing Engineering, ta113, Partial least squares, Statistical and methodological myths and urban legends, Structural equation modeling, Mathematical optimization, Partial least squares path modeling, Mathematics, Econometrics, Partial least squares regression, Regression, Applied research, Rule of thumb
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