Two journal articles published by our author team before the first edition also provide clear evidence of the popularity of “PLS path modeling” in the Web of Science database (Exhibit 1). A Primer on Partial Least Squares StructuralĮquation Modeling (PLS-SEM) has been the premier text in the field of PLS-SEM for many years, and based on the advances included in this new edition, we are confident it will remain theĪ review of major social sciences journals clearly demonstrates that applications of PLS-SEM have grown exponentially in the past decade, as evidenced in the popularity of the terms “PLS-SEM” and
Furthermore, the book now also comes in an R software edition ( Hair et al, 2022). Translated into seven other languages, including German, Italian, and Spanish. The PLS-SEM method would literally explode in a few years! The two previous editions of our book have been cited more than 25,000 times according to Google Scholar, and the books have been We never anticipated that the interest in But even our wildest expectations were exceeded. When we wrote the first and second editions, we were confident that interest in PLS-SEM would increase.
Somewhat smaller analytical improvements have emerged as well.
Theoretical concepts (using procedures similar to the traditional confirmatory factor analysis in common factor models) and for assessing a model’s out-of-sample predictive power. Much of the focus has been on the development of methods for confirming the quality of composite measures as representations of Rapidly to include numerous additional analytical options. While some traditional statistical methods have continued to evolve and extend their capabilities, PLS-SEM has expanded Squares structural equation modeling (PLS-SEM), has changed considerably. In that period of time, the field of structural equation modeling (SEM), and particularly partial least It has been almost a decade since the first edition of our book was published in 2014.