CB-SEM using SmartPLS

Covariance-based Structural Equation Modeling (CB-SEM) is a statistical technique used to test and confirm theoretical models. It is a more rigorous approach than Partial Least Squares (PLS)-SEM, which is typically used for prediction and theory development. CB-SEM is based on the assumption that the observed variables in a model are caused by latent variables, which are not directly observable.

SmartPLS4 is a software package that allows researchers to conduct CB-SEM analyses. The latest version of SmartPLS4, released in 2023, includes a number of new features for CB-SEM, including:

• The ability to import covariance matrices directly
• The ability to conduct bootstrapping for model fit assessment
• A number of new post-estimation options, such as the ability to calculate path coefficients and confidence intervals

The introduction of CB-SEM in SmartPLS4 makes it a more powerful and versatile tool for researchers who need to conduct rigorous tests of theoretical models. The new features in SmartPLS4 make it easier than ever to conduct CB-SEM analyses, and the software is now a more comprehensive solution for researchers who need to conduct both PLS-SEM and CB-SEM analyses.