Suppose I have one independent variable(IV), one dependent variable(DV), and two control variables(CVs). If they are all observed variables, a multiple regression is the way to see the effect of the IV on the DV.
Then, what if the independent variable is a latent variable measured by several observed indicators? Because there is only one latent variable, it seems like I have only a measurement model, without a structural model. Then, can I say I'm using a SEM to investigate the relationship? or I would be better go with a multiple regression by creating a scale score for the latent variable?