Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R : A Workbook Hardback
by Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray
Part of the Classroom Companion: Business series
Hardback
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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.
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In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Hardback
- Pages:197 pages, 51 Illustrations, color; 26 Illustrations, black and white; XIV, 197 p. 77 illus., 51 ill
- Publisher:Springer Nature Switzerland AG
- Publication Date:04/11/2021
- Category:
- ISBN:9783030805180
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In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Hardback
- Pages:197 pages, 51 Illustrations, color; 26 Illustrations, black and white; XIV, 197 p. 77 illus., 51 ill
- Publisher:Springer Nature Switzerland AG
- Publication Date:04/11/2021
- Category:
- ISBN:9783030805180