On testing functional constraints in structural equation models

Abstract

In the context of a robust generalized least squares approach, a new statistic for testing the validity of constraints in structural equation models is proposed. It is shown that the new test requires significantly less computational effort than the traditional one. Extension to models in several populations is also considered. Illustrative applications based on real data are given.