期刊
JOURNAL OF OPERATIONS MANAGEMENT
卷 47-48, 期 -, 页码 9-27出版社
WILEY
DOI: 10.1016/j.jom.2016.05.002
关键词
Partial least squares; Structural equation modeling; Statistical and methodological myths and; urban legends
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 is simply regression with scale scores and thus has very limited capabilities to handle the wide array of problems for which applied researchers use SEM. To that end, we explain why the use of PLS weights and many rules of thumb that are commonly employed with PLS are unjustifiable, followed by addressing why the touted advantages of the method are simply untenable. (C) 2016 Elsevier B.V. All rights reserved.
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