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) |
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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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Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
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Links to the text | Library Off-campus access |
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OB00162479 | Springer Business and Management eBooks (電子ブック) | 9783030805197 |
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Material Type | E-Book |
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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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