The Third Edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach. The authors use their teaching experience to communicate the fundamentals of PLS-SEM with limited emphasis on equations and and symbols, relying on straightforward language instead.
Provides a concise yet very practical guide to understanding and using PLS structural equation modeling (PLS-SEM)
A Workbook Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray. Joseph F. Hair Jr. • G. Tomas M. Hult Christian M. Ringle • Marko Sarstedt Nicholas P. Danks • Soumya Ray Partial Least ...
The book provides a brief overview of basic concepts before moving to the more advanced material.
This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance.
When applied correctly, PLS can be a great alternative to existing covariance-based SEM approaches. Dr. Ken Kwong-Kay Wong wrote this reference guide with graduate students and marketing practitioners in mind.
This edited book presents the recent developments in partial least squares-path modeling (PLS-PM) and provides a comprehensive overview of the current state of the most advanced research related to PLS-PM. The first section of this book ...
Joseph F. Hair, Jr., Marko Sarstedt, Christian M. Ringle, Siegfried P. Gudergan. (University of Southern Denmark), Edward E. Rigdon (Georgia State University), James A. Robins (Vienna University of Economics and Business), ...
This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM).
Students also learn how to compute each technique using SPSS software. New to the Sixth Edition Instructor ancillaries are now available with the sixth edition.
The main methods, techniques and issues for carrying out multilevel modeling and analysis are covered in this book.