Out-of-sample prediction in SEM: A simulation-based comparison of maximum likelihood and (consistent) partial least squares

Structural equation modeling (SEM) is widely used to study relationships among unobserved constructs. Over recent years, the interest in computing predictions with SEM has grown. Different prediction procedures have been proposed for this purpose, including MLpredict, which is based on maximum likel