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sem - path analysis, interpreted same way as regression coefficeints in multiple regression, no consensus on symbols, beyond the basics, correlation or covariance = curved line w 2 arrow heads, example, unmeasured exogenous variables, disturbance = d, latent = circle, common causes , reciprocal effect = == , basics (see kline, 1998 p, 49,52) , direct effect = -- , a proxy or compoiste variable that represents all unemeasured causes , concerns only boserved variables adn structural models multipe exogenous and endogenous variables endogenous variables can affect one anotehr, a variable is both a predictor and a criterion , observed = square, path coefficients, path analysis, measurement error= e, like a partial correlation , variance in an endogenous varialbe not accounted forr by exoggenous variables spedecified as causesby , indirect effect (mediator varialbes)