ABSTRACT

During the first 60 years of the twentieth century, factor analysis was the dominant method in the behavioral and social sciences for representing causal relations between latent variables and observed variables. But in this regard the method is overly restrictive for representing the great variety of possible ways in which variables may be related to one another causally by linear functions and thereby account for the correlations among them.