Advanced Issues in Partial Least Squares Structural Equation Modeling
Business & Finance, Economics, Statistics, Nonfiction, Reference & Language, Reference, Research
| Author: | Dr. Joe Hair, Marko Sarstedt, Dr. Christian M. Ringle, Dr. Siegfried P. Gudergan | ISBN: | 9781483377414 |
| Publisher: | SAGE Publications | Publication: | April 5, 2017 |
| Imprint: | SAGE Publications, Inc | Language: | English |
| Author: | Dr. Joe Hair, Marko Sarstedt, Dr. Christian M. Ringle, Dr. Siegfried P. Gudergan |
| ISBN: | 9781483377414 |
| Publisher: | SAGE Publications |
| Publication: | April 5, 2017 |
| Imprint: | SAGE Publications, Inc |
| Language: | English |
Written as an extension of *A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) *Second Edition, thiseasy-to-understand, practical guide covers advanced content on PLS-SEM to help students and researchers apply techniques to research problems and accurately interpret results. Authors Joseph F. Hair, Jr., Marko Sarstedt, Christian Ringle, and Siegfried P. Gudergan provide a brief overview of basic concepts before moving to the more advanced material. Offering extensive examples on SmartPLS 3 software and accompanied by free downloadable data sets, the book emphasizes that any advanced PLS-SEM approach should be carefully applied to ensure that it fits the appropriate research context and the data characteristics that underpin the research.
Written as an extension of *A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) *Second Edition, thiseasy-to-understand, practical guide covers advanced content on PLS-SEM to help students and researchers apply techniques to research problems and accurately interpret results. Authors Joseph F. Hair, Jr., Marko Sarstedt, Christian Ringle, and Siegfried P. Gudergan provide a brief overview of basic concepts before moving to the more advanced material. Offering extensive examples on SmartPLS 3 software and accompanied by free downloadable data sets, the book emphasizes that any advanced PLS-SEM approach should be carefully applied to ensure that it fits the appropriate research context and the data characteristics that underpin the research.
