TY  - BOOK
AU  - Hair Jr,Joseph F.
AU  - Danks,Nicholas P.
AU  - Hult,G.Tomas M.
AU  - Ray,Soumya
AU  - Ringle,Christian M.
AU  - Sarstedt,Marko
TI  - Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
T2  - Classroom Companion: Business
SN  - 978-3-030-80519-7
PY  - 2021///
PB  - Springer Nature
KW  - Econometrics
KW  - bicssc
KW  - Mathematical & statistical software
KW  - Sales & marketing
KW  - Open Access
KW  - Partial Least Squares Structural Equation Modeling
KW  - PLS-SEM) Using R
KW  - R Software Environment
KW  - Workbook
N1  - Open Access
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
UR  - https://library.oapen.org/bitstream/id/1f7ae0e0-035a-418b-bef6-567d34f03ad7/9783030805197.pdf
UR  - https://library.oapen.org/handle/20.500.12657/51463
ER  -