Covariance-based and Partial Least Squares SEM Modeling: Outline and Applications

Learn how to apply Structural Equation Modelling (SEM) to evaluate complex relationships between variables and test theoretical frameworks in this comprehensive tutorial from Data Science Conference. Explore the differences between Covariance-Based (CB-SEM) and Partial Least Squares (PLS-SEM) approaches, understanding their distinct characteristics and analytical implications. Follow along with practical R examples that demonstrate when and how to effectively apply each method. Gain valuable knowledge to confidently select the most appropriate SEM approach for research studies. This 1 hour 42 minute session was presented by Milica Maricic on November 18th at DSC EUROPE 24 in Belgrade, providing researchers with essential tools for advanced statistical modeling.