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

A Workbook

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 ofthumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.

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Writer: Hair Jr., Joseph F., Hult, G. Tomas M., Ringle, Christian M., Sarstedt, Marko
Title: Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
Publisher: Springer Nature Switzerland AG

Year: 2021
Language: English
Pages: 197
Weight: 462 gr

EAN: 9783030805180
Dimensions: 160 x 242 x 20 mm
Binding format: Gebonden

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

A Workbook

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