Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
A Workbook
Series: Classroom Companion: Business;
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22 184 Ft
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Product details:
- Edition number 1st ed. 2021
- Publisher Springer International Publishing
- Date of Publication 4 November 2021
- Number of Volumes 1 pieces, Book
- ISBN 9783030805180
- Binding Hardback
- No. of pages197 pages
- Size 235x155 mm
- Weight 489 g
- Language English
- Illustrations XIV, 197 p. 77 illus., 51 illus. in color. Illustrations, black & white 201
Categories
Long 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.
Table of Contents:
An Introduction to Structural Equation Modeling.- Introduction to R and RStudio.- Introduction to SEMinR.- Evaluation of Reflective Measurement Models.- Evaluation of Formative Measurement Models.- Evaluation of the Structural Model.- Mediation Analysis.- Moderation Analysis.
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