Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
Autor: | Danks, Nicholas P. Hair Jr., Joseph F. Hult, G. Tomas M. Ray, Soumya Ringle, Christian M. Sarstedt, Marko |
---|---|
EAN: | 9783030805180 |
Auflage: | 001 |
Sachgruppe: | Wirtschaft |
Sprache: | Englisch |
Seitenzahl: | 212 |
Produktart: | Gebunden |
Veröffentlichungsdatum: | 04.11.2021 |
Untertitel: | A Workbook |
53,49 €*
Die Verfügbarkeit wird nach ihrer Bestellung bei uns geprüft.
Bücher sind in der Regel innerhalb von 1-2 Werktagen abholbereit.
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 ofthumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.