Structural Equation Modeling (SEM) using SmartPLS 4.0

Structural equation modeling (SEM) is a multivariate statistical analysis technique that is used to analyze structural relationships. This technique is a combination of factor analysis and multiple regression analysis and it is used to analyze the structural relationship between measured variables and latent constructs. Need to apply the SEM technique that best suits your research objectives, data characteristics, and model? Need to analyze Moderation and Mediation Effect? Worry about the normality of data? Need to analyze complex cause-effect structural models? How to estimate the correlation and covariance in a model? Is SmartPLS only for a small sample size? Need to know when and how to use PLS-SEM?

Workshop Synopsis:
-Introduction to Structural Equation Modeling (SEM)
-Issues in SEM Modeling
-Preparation before PLS-SEM
-Basic Modeling with PLS
-Formative versus Reflective Measurement
-Measurement Model Assessment (Reliability, Convergent Validity, Discriminant Validity)
-Structural Model Assessment (First Order and Second Order)
-Mediating Effect Analysis
-Moderating Effect Analysis
-Higher-order Construct
-PLSpredict