TY  - GEN
N2  - 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
DO  - 10.1007/978-3-030-80519-7
DO  - doi
AB  - 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
T1  - Partial least squares structural equation modeling (PLS-SEM) using R :a workbook /
AU  - Hair, Joseph F.,
AU  - Hult, G. Tomas M.,
AU  - Ringle, Christian M.,
AU  - Sarstedt, Marko,
AU  - Danks, Nicholas P.,
AU  - Ray, Soumya,
CN  - QA275
N1  - Includes index.
ID  - 1431142
KW  - Least squares.
KW  - Structural equation modeling.
KW  - Finance
KW  - R (Computer program language)
KW  - Modèles d'équations structurales.
KW  - Finances
KW  - R (Langage de programmation)
SN  - 9783030805197
SN  - 3030805190
TI  - Partial least squares structural equation modeling (PLS-SEM) using R :a workbook /
LK  - https://link.springer.com/10.1007/978-3-030-80519-7
UR  - https://link.springer.com/10.1007/978-3-030-80519-7
ER  -