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

Language: English

Published by Springer Nature Switzerland AG, CH, 2021

3030805182 / 9783030805180

Series: Book 9 of 18 - Classroom Companion: Business

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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.…

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Title
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
Author
Christian M. Ringle, Soumya Ray, Joseph F. Hair Jr., Marko Sarstedt, Nicholas P. Danks, G. Tomas M. Hult
Publisher
Springer Nature Switzerland AG, CH
Publication year
2021
Condition
New
Binding
Hardback
Language
English
ISBN 10
3030805182
ISBN 13
9783030805180
Edition
1st ed. 2021.
Series
Book 9 of 18: Classroom Companion: Business

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