Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

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Title

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

Subject

Econometrics

Description

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.

Creator

Hair Jr., Joseph F.
Hult, G. Tomas M.
Ringle, Christian M.
Sarstedt, Marko
Danks, Nicholas P.
Ray, Soumya

Source

https://library.oapen.org/handle/20.500.12657/51463

Publisher

Springer Nature
Publisher website: https://www.springernature.com/gp/products/books

Date

2021

Contributor

Tatik

Rights

https://creativecommons.org/licenses/by/4.0/

Format

PDF

Language

English

Type

Textbooks

Identifier

DOI: 10.1007/978-3-030-80519-7
ISBN: 9783030805197, 9783030805197

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