Structural Equation Modelling with Partial Least Squares Using Stata and R Mehmetoglu Mehmet
Partial least squares structural equation modelling (PLS-SEM) is becoming a popular statistical framework in many fields and disciplines of the social sciences. The popularity of PLS-SEM is predicted to increase even more as a result of the development of new and more robust esti… Celý popis ↓
Porovnanie cien Structural Equation Modelling with Partial Least Squares Using Stata and R Mehmetoglu Mehmet
Popis Structural Equation Modelling with Partial Least Squares Using Stata and R Mehmetoglu Mehmet
Structural Equation Modelling with Partial Least Squares Using Stata and R Mehmetoglu Mehmet
Partial least squares structural equation modelling (PLS-SEM) is becoming a popular statistical framework in many fields and disciplines of the social sciences. The popularity of PLS-SEM is predicted to increase even more as a result of the development of new and more robust estimation approaches, such as consistent PLS-SEM. The main reason for this popularity is that PLS-SEM can be used to estimate models including latent variables, observed variables, or a combination of these.
In so doing, the authors provide the necessary technical prerequisites and theoretical treatment of various The traditional and modern estimation methods for PLS-SEM are now readily facilitated by both open-source and commercial software packages.This book presents PLS-SEM as a useful practical statistical toolbox that can be used for estimating many different types of research models.
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