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oapen-20.500.12657-514632021-11-16T02:48:04Z Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R Hair Jr., Joseph F. Hult, G. Tomas M. Ringle, Christian M. Sarstedt, Marko Danks, Nicholas P. Ray, Soumya Open Access PLS-SEM) Using R Workbook Partial Least Squares Structural Equation Modeling R Software Environment bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJS Sales & marketing bic Book Industry Communication::U Computing & information technology::UF Business applications::UFM Mathematical & statistical software bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCH Econometrics 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. 2021-11-15T15:27:39Z 2021-11-15T15:27:39Z 2021 book ONIX_20211115_9783030805197_9 9783030805197 https://library.oapen.org/handle/20.500.12657/51463 eng Classroom Companion: Business application/pdf Attribution 4.0 International 9783030805197.pdf https://www.springer.com/9783030805197 Springer Nature Springer International Publishing 10.1007/978-3-030-80519-7 10.1007/978-3-030-80519-7 6c6992af-b843-4f46-859c-f6e9998e40d5 0ba1b5cf-bbfb-48f0-8246-0acef2894f7e 9783030805197 Springer International Publishing 197 [grantnumber unknown] Otto von Guericke University Magdeburg Otto-von-Guericke-Universität Magdeburg open access
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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 of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
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