1994'4, p.108
Grigorenko E. L.
Statistical modelling in psychology: Pro and contra
(RESUME)

Structural equation modelling (SEM) is a modem statistical method that allows one to evaluate causal hypotheses on a set of intercorrelated nonexperimental data. The sample variances and covariances are compared to those predicted by a theory-based hypothetical model after optimal estimation of the parameters of the model. The goodness-of-fit of the empirical data to the hypothesized model is evaluated statistically. The author discusses "pro" and "contra" issues around using structural equation modelling.