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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

- A Workbook

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

- A Workbook
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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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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.
Produktdetaljer
Sprog: Engelsk
Sider: 197
ISBN-13: 9783030805180
Indbinding: Hardback
Udgave:
ISBN-10: 3030805182
Udg. Dato: 4 nov 2021
Længde: 20mm
Bredde: 242mm
Højde: 160mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 4 nov 2021
Forfatter(e) Joseph F. Hair Jr., G. Tomas M. Hult, Soumya Ray, Nicholas P. Danks, Marko Sarstedt, Christian M. Ringle


Kategori Økonometri og økonomisk statistik


ISBN-13 9783030805180


Sprog Engelsk


Indbinding Hardback


Sider 197


Udgave


Længde 20mm


Bredde 242mm


Højde 160mm


Udg. Dato 4 nov 2021


Oplagsdato 4 nov 2021


Forlag Springer Nature Switzerland AG

Kategori sammenhænge