Structural equation modelling (SEM) has advantages compared to multiple regression because:

a. It allows you to test several relationships between variables at the same time.

b. Variables can be both a predictor and an outcome at the same time.

c. It allows us to partition the variance into model/trait variance, error variance, residual (unexplained variance).

d. All of the above.