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 of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
Product details
- Hardback | 197 pages
- 155 x 235 x 12.7mm | 489g
- 04 Nov 2021
- Springer Nature Switzerland AG
- Cham, Switzerland
- English
- 1st ed. 2021
- 51 Illustrations, color; 26 Illustrations, black and white; XIV, 197 p. 77 illus., 51 illus. in color.
- 3030805182
- 9783030805180
Download Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R : A Workbook (9783030805180).pdf, available at ebookdownloadfree.co for free.
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