I encountered challenges while conducting GSEM due to uncertainties in running the analysis with solely observed variables. This was particularly prominent when dealing with categorical variables such as x, y, and z, where all of them served as dependent variables.
Running a Generalized Structural Equation Model (GSEM) with only observed variables can indeed present some challenges, as GSEM typically involves both observed and latent variables. However, it's still possible to conduct analyses using observed variables only. Here's how you can approach it:
While GSEM is a powerful tool for analyzing complex relationships among observed and latent variables, conducting analyses with only observed variables is a common practice in many research fields. By carefully framing your research questions and selecting appropriate analysis methods, you can still gain valuable insights from your data.