TY  - BOOK
AU  - Hair Jr,Joseph F.
AU  - Hult,G.Tomas M.
AU  - Ringle,Christian M.
AU  - Sarstedt,Marko
AU  - Danks,Nicholas P.
AU  - Ray,Soumya
ED  - SpringerLink (Online service)
TI  - Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook 
T2  - Classroom Companion: Business,
SN  - 9783030805197
AV  - HF5410-5417.5 
U1  - 658.8 23
PY  - 2021///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Marketing
KW  - Statistics
KW  - Computer programs
KW  - Econometrics
KW  - Statistical Software
N1  - 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
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 thumbin every chapter provide guidance on best practices in the application and interpretation of PLS-SEM
UR  - https://doi.org/10.1007/978-3-030-80519-7
ER  -