Advanced Issues in Partial Least Squares Structural Equation Modeling / Edition 1

Dr. Joe F. Hair Jr., Dr. Marko Sarstedt, Dr. Christian M. Ringle, and Dr. Siegfried P. Gudergan

The book "Advanced Issues in Partial Least Squares Structural Equation Modeling" provides an in-depth exploration of Partial Least Squares Structural Equation Modeling (PLS-SEM), a statistical approach used to analyze the relationships between multiple variables in large and complex data sets.

The book delves into advanced topics in PLS-SEM, such as multi-group analysis, measurement invariance, latent variable interaction, formative measurement, and higher-order constructs. It also provides practical guidance on conducting PLS-SEM analyses in popular software programs such as SmartPLS and R.

The authors, who are highly respected scholars in the field of PLS-SEM, provide a comprehensive overview of the latest research in the area, along with detailed explanations of the methods and techniques used in the approach. The book is written for researchers and practitioners in the fields of business, management, marketing, social sciences, and engineering who need to analyze complex data sets and understand the relationships between multiple variables.

Overall, the book is a valuable resource for those interested in PLS-SEM and its application to real-world problems. It is well-written, easy-to-follow, and provides a wealth of information on advanced issues in PLS-SEM.

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