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- W2034135949 abstract "Abstract This paper seeks to further refine the efforts of Coleman (Social Science Research 5 , 1–20, 1976) and Igra (Social Science Research 8 , 253–264, 1979) to develop summary regressionlike coefficients for causal models involving blocks of conceptually related variables, using Heise's (Sociological Methods and Research 1 , 147–173, 1972) strategy of explicitly representing block concepts as unobserved intervening variables in a multiequation model. Such models can be estimated using the maximum-likelihood techniques of Joreskog and Sorbom (LISREL IV: Analysis of Linear Structural Relationships by the Method of Maximum Likelihood, International Educational Services, Chicago, 1978) . The procedure proposed leads to (a) an unambiguous definition of block variables in terms of their constituent variables; (b) a clear definition of effects of conceptual variables on one another, and on single response variables, and a reduced model formulated in terms of conceptual variables only; and (c) a clear decomposition of correlations between conceptual variables into direct effects, indirect effects, and unanalyzed components. Numerical illustration is provided." @default.
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- W2034135949 date "1982-06-01" @default.
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- W2034135949 title "A note on block variables in multiequation models" @default.
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- W2034135949 doi "https://doi.org/10.1016/0049-089x(82)90015-1" @default.
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