TY  - BOOK
AU  - Hair, Joseph F.
AU  - Hult, G. Tomas M.
AU  - Ringle, Christian M.
AU  - Marko Sarstedt
TI  - Partial least squares structural equation modeling (PLS-SEM) using R: a workbook
SN  - 9783030805180
U1  - 511.42 
PY  - 2021///
CY  - Switzerland
PB  - Springer
KW  - R (Computer program language)
KW  - Structural equation modeling
KW  - Finance--Mathematical models
KW  - Least squares
N2  - About this book 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
ER  -