SEM (Structural Equation Modeling) and gSEM (Generalized Structural Equation Modeling) are two popular data analysis methods used in social and behavioral research. In Stata, there are two software packages used to perform SEM and gSEM, namely “sem” and “gsem”. Here is an introduction to both of these software packages:
- SEM in Stata (“sem” package):
- SEM in Stata is used to model relationships between measured variables and prognostic variables based on the classic SEM model.
- The “sem” package in Stata provides tools for building SEM models, estimating model parameters, testing model fit, and providing estimation and interpretation results.
- The “sem” package supports complex models such as structural models with latent variables, multilevel models, and direct and indirect models (mediation and moderation models).
- gSEM in Stata (“gsem” package):
- gSEM in Stata is an extension of SEM, used to model relationships between binary, multivalued dependent variables (ordinal, nominal), and numerical response variables (continuous) based on the gSEM model .
- The “gsem” package in Stata allows modeling of categorical and continuous data in a unified SEM framework.
- The “gsem” package supports complex models such as multilevel models with binary dependent variables, multilevel models with numerical response variables, and direct and indirect models with binary or multiple dependent variables treat.
♥ Both the “sem” and “gsem” software packages in Stata provide a series of powerful tools for performing SEM and gSEM analysis. However, choosing between the two plans depends on the type of data and the specific goals of your research. The beauty of STATA is panel data, so in many cases where the scale is highly complex, sometimes SEM in STATA is a good choice.
