The usefulness of path analysis as a means of better understanding various linear models is demonstrated. First, two linear models are presented in matrix form using linear structural relations (LISREL) notation. The two models, regression and factor analysis, are shown to be identical although the research question and data matrix to which these models are applied are different. The second section demonstrates how path analysis may be used to enhance understanding of these models; path analysis more clearly reveals their similarity than expectation algebra. Finally, path analysis is applied in complex LISREL models, with an example of matrices rather than scalars. A two-wave multitrait, multiple indicator longitudinal LISREL model is used. (GDC)