The primary drawback to structural equation modelling (SEM)is that SEM typically requires more data observations than regression.

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SEM involves estimating multiple relationships among variables, which requires a larger sample size than simple regression. SEM also involves estimating the fit of the model to the data, which requires additional information and data points. Therefore, SEM typically requires more observations than regression.

The Primary Drawback to Structural Equation Modelling (SEM)is That SEM