Join our new courses on PLS-SEM using SmartPLS 4:
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Lux, G., & Troiville, J. (2022). Modèles d'quations structurelles Partial Least Squares PLS-SEM (3e). Aix-en-Provence: Presses Universitaires d'Aix-Marseille.
New open access book! Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N.P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Cham: Springer.
This practical guide provides a step-by-step treatment of the major choices facing researchers when applying partial least squares structural equation modeling (PLS-SEM) using R, a free software environment for statistical computing, which runs on Windows, MacOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidelines on best practices in the application and interpretation of PLS-SEM.
This book is open access, which means that you have free and unlimited access
Offers concise guidelines on how to apply and interpret PLS-SEM results
Includes an illustrative step-by-step application of PLS-SEM within the R software environment
Draws on the highly user-friendly SEMinR package, co-developed by two of the co-authors
Adopts a case study approach that focuses on the illustration of relevant analysis steps
The 3rd Edition of the Primer on PLS-SEM is out!
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 3rd ed. Thousand Oaks, CA: Sage.
All case studies in this PLS-SEM book use the SmartPLS 3 software.
With applications using SmartPLS — the primary software used in partial least squares structural equation modeling (PLS-SEM) — this practical guide provides concise instructions on how to use this evolving statistical technique to conduct research and obtain solutions. Featuring the latest research, new examples, and expanded discussions throughout, the third edition is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.
New Courses on PLS-SEM
ONLINE COURSE: Partial Least Squares SEM Using SmartPLS: Foundations and Advanced Topics
Visit the SmartPLS webpages to get to know other upcoming courses on PLS-SEM.
24/7 Online Courses!
You want to learn the basics of PLS-SEM or dive into more advanced topics such as moderation, mediation, or higher-order models? Join the PLS-SEM Academy and learn everything you need to know about the method. Here are some of the Academy's key benefits:
More than seven hours of video material on the principles and advanced topics in PLS-SEM
Based on the famous PLS-SEM books
Presented by world-wide renown instructors
Covers the latest developments in PLS-SEM as requested by reviewers and journal editors
Comprehensive lecturing slides included
Annotated outputs from SmartPLS illustrate all analyses step-by-step
Certificate after successful completion of the final exam
Go to PLS-SEM Academy and check out the freel trial lectures.
October 25-28, 2022
Beihang University, Beijing
Conference co-chairs: Huiwen Wang, Yide Liu, Christian M. Ringle, and Marko Sarstedt
Keynote speaker: Joseph F. Hair, Professor of Marketing, University of South Alabama, USA
Preconference workshops: October 25, 2020
Hair, J.F., Sarstedt, N., Ringle, C.M., Gudergan, S.P., Castillo Apraiz, J., Cepeda Carrión, G.A., & Roldán, J.L. (2021). Manual avanzado de Partial Least Squares Structural Equation Modeling (PLS-SEM). Terassa, Barcelona, Espana: OmniaScience.
Hair, J.F., Hult, G.T.M., Ringle, C.M, Sarstedt, M., Castillo Apraiz, J., Cepeda Carrión, G.A., an Roldán, J.L. (2019). Manual de Partial Least
Squares Structural Equation Modeling (PLS-SEM) (Segunda Edición). OmniaScience.
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