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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook offers a practical guide to analyzing complex relationships using PLS-SEM and R software. This open access resource provides step-by-step instructions and case studies, leveraging the SEMinR package for easy implementation. Discover the flexibility and advantages of PLS-SEM for your research.
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Điền form liên hệPartial 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.
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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
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