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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R : A Workbook / by Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray
(Classroom Companion: Business. ISSN:26622874)

Publisher (Cham : Springer International Publishing : Imprint: Springer)
Year 2021
Edition 1st ed. 2021.
Authors *Hair Jr., Joseph F author
Hult, G. Tomas M author
Ringle, Christian M author
Sarstedt, Marko author
Danks, Nicholas P author
Ray, Soumya author
SpringerLink (Online service)

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OB00162479 Springer Business and Management eBooks (電子ブック) 9783030805197

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Material Type E-Book
Media type 機械可読データファイル
Size XIV, 197 p. 77 illus., 51 illus. in color : online resource
Notes An Introduction to Structural Equation Modeling -- Introduction to R and RStudio -- Introduction to SEMinR -- Evaluation of Reflective Measurement Models -- Evaluation of Formative Measurement Models -- Evaluation of the Structural Model -- Mediation Analysis -- Moderation Analysis
Open Access
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
HTTP:URL=https://doi.org/10.1007/978-3-030-80519-7
Subjects LCSH:Marketing
LCSH:Statistics—Computer programs
LCSH:Econometrics
FREE:Marketing
FREE:Statistical Software
FREE:Econometrics
Classification LCC:HF5410-5417.5
DC23:658.8
ID 8000077637
ISBN 9783030805197

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