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1/3 In the last conversation I had with Peter Bentler he defined SEM as a "compact and meaningful representation of a covariance matrix". We know that "meaningful" is a round-about way of saying "causal". Fine. But since the purpose is declared as fitting a covariance matrix,
2/3 one should ask: To what use can one put the conclusions of an SEM study (aside from getting your dissertation published in Journal of SEM), which usually comprises a huge list of path coefficients with their confidence intervals. I wish someone can explain why not list the
3/3 estimated covariance coefficients themselves; a much simpler task. #Bookofwhy
