TY  - BOOK
AU  - Hair,Joseph F.
TI  - Partial least squares structural equation modeling (PLS-SEM) using R	: a workbook 
T2  - Classroom Companion: Business
SN  - 9783030805197
U1  - 511.42 
PY  - 2021///
CY  - Cham
PB  - Springer
KW  - ESTIMACION POR MINIMOS CUADRADOS
KW  - ANALISIS ESTADISTICO
KW  - MODELIZACION DE ECUACIONES ESTRUCTURALES
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/handle/20.500.12657/51463
ER  -