Structural equation modelling lets you estimate a measurement model and a structural model together, so measurement error is carried rather than ignored.
It is the natural tool when a variable is both an outcome and a predictor — the mediation case.
It is not a way to rescue a small sample or a weak design. SEM needs more data than the equivalent regression, not less.
