Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R : A Workbook
Hair Jr., Joseph F.
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 - 1st ed. 2021. - 1 recurso en línea - Classroom Companion: Business 2662-2874 .
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.
9783030805197
10.1007/978-3-030-80519-7 doi
HF5410-5417.5 / 2021 EB
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 - 1st ed. 2021. - 1 recurso en línea - Classroom Companion: Business 2662-2874 .
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.
9783030805197
10.1007/978-3-030-80519-7 doi
HF5410-5417.5 / 2021 EB