Detalls del llibre
Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method?s flexibility in terms of data requirements and measurement specification.
This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models 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 ofthumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
- Autors Joseph F. Hair Jr., G. Tomas (Michigan State University) Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray
- ISBN13 9783030805180
- ISBN10 3030805182
- Pàgines 197
- Any Edició 2021
- Fecha de publicación 04/11/2021
- Idioma Alemany, Francès
Ressenyes i valoracions
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook (Alemany, Francès)
- De
- Joseph F. Hair Jr., G. Tomas (Michigan State University) Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray
- |
- Springer (2021)
- 9783030805180



