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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�...

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Bibliographic Details
Main 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)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Classroom Companion: Business,
Subjects:
Marketing.
Statistics > Computer programs.
Econometrics.
Statistical Software.
Online Access:Link to Metadata
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245 1 0 |a Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R  |h [electronic resource] :  |b A Workbook /  |c by Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray. 
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264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2021. 
300 |a XIV, 197 p. 77 illus., 51 illus. in color.  |b online resource. 
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490 1 |a Classroom Companion: Business,  |x 2662-2874 
505 0 |a 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. 
506 0 |a Open Access 
520 |a 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 thumbin every chapter provide guidance on best practices in the application and interpretation of PLS-SEM. 
650 0 |a Marketing. 
650 0 |a Statistics  |x Computer programs. 
650 0 |a Econometrics. 
650 1 4 |a Marketing. 
650 2 4 |a Statistical Software. 
650 2 4 |a Econometrics. 
700 1 |a Hult, G. Tomas M.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Ringle, Christian M.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Sarstedt, Marko.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Danks, Nicholas P.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Ray, Soumya.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783030805180 
776 0 8 |i Printed edition:  |z 9783030805203 
830 0 |a Classroom Companion: Business,  |x 2662-2874 
856 4 0 |u https://doi.org/10.1007/978-3-030-80519-7  |z Link to Metadata 
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950 |a Business and Management (SpringerNature-41169) 
950 |a Business and Management (R0) (SpringerNature-43719) 

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