Le Minh Data Services would like to introduce to you the book Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R.
The book Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R is an important resource on the PLS-SEM method and its implementation in the R programming language. This book provides a detailed guide about the theory and applications of PLS-SEM, and covers the steps from start to finish using R. Below is an outline of the book’s content:
- Introduction to PLS-SEM: The book begins with an introduction to PLS-SEM, providing an overview of this method, its benefits and applications in scientific research.
- PLS-SEM theory: The book presents the basic concepts of PLS-SEM, including structural modeling, measurement and model identification, as well as methods for model validation and evaluation.
- Using R for PLS-SEM: The book introduces how to use R to implement PLS-SEM. It provides specific instructions on how to perform each step in the PLS-SEM process using R, including data preparation, model building, model validation, and evaluation.
- Practice and applications: The book provides practical examples and applications of PLS-SEM in fields such as business, marketing, finance and consumer behavior. This helps readers better understand how to apply PLS-SEM in practical studies.
The book Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R provides detailed and practical instructions on how to apply PLS-SEM using the R programming language. This is a useful document for those interested in analysis. analyzed structural data and applied PLS-SEM in their research.
