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

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A Workbook, Classroom Companion: Business

ISBN: 3030805182
ISBN 13: 9783030805180
Verlag: Springer Verlag GmbH
Umfang: xiv, 197 S., 26 s/w Illustr., 51 farbige Illustr., 197 p. 77 illus., 51 illus. in color.
Erscheinungsdatum: 04.11.2021
Weitere Autoren: Hair Jr, Joseph F/Hult, G Tomas M/Ringle, Christian M et al
Auflage: 1/2022
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 2488703 Kategorie:

Beschreibung

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.

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E-Mail: juergen.hartmann@springer.com

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