Partial Least Squares Structural Equation Modeling A Workbook

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Synopsis

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.

Book details

Edition:
1st ed. 2021
Series:
Classroom Companion: Business
Author:
G. Tomas Hult, Marko Sarstedt, Christian M. Ringle, Joseph F. Hair Jr., Nicholas P. Danks, Soumya Ray
ISBN:
9783030805197
Related ISBNs:
9783030805180
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2022-12-27
Usage restrictions:
Copyright
Copyright date:
2021
Copyright by:
The Editor 
Adult content:
No
Language:
English
Categories:
Business and Finance, Computers and Internet, Mathematics and Statistics, Nonfiction