One of the great virtues of structural equation models is that they permit the
quantification of causal and noncausal sources of statistical relationship. The
present article discusses efficient matrix methods of computation for effect decomposition and extends these methods to models with unstandardized variables and
to nonrecursive models. An appendix includes a computer program, written in
APL, which implements the techniques described in the article.
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