A New Identification Condition for Recursive Models With Correlated Errors

To avoid devoting research resources toward a hopeless cause (and to avoid ignoring productive research avenues out of an unfounded fear of underidentification), researchers need a way to quickly evaluate a model's identification status before data are collected. Furthermore, because models are often altered in the course of research (Joreskog, 1993), researchers need a technique that helps them understand the impact of potential structural changes on the identification status of the model, (p. 359)