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The logic of causal methods in social science

Frederick S. Ellett & David P. Ericson

Synthese 57 (1):67-82 (1983)

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(1 other version)Causal Modeling and the Statistical Analysis of Causation.Gurol Irzik - 1986 - PSA Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986 (1):12-23.details Recent studies on probabilistic causation and statistical explanation (Cartwright 1979; Salmon 1984), I believe, have opened up the possibility of a genuine unification between philosophical approaches and causal modeling (CM) in the social, behavioral and biological sciences (Wright 1934; Blalock 1964; Asher 1976). This unification rests on the statistical tools employed, the principle of common cause, the irreducibility of causation to probability or statistics, and the idea of causal process as a suitable framework for understanding causal relationships. The aim of (...) Download Export citation Bookmark
Causality and causal modelling in the social sciences.Federica Russo - 2009 - Springer, Dordrecht.details The anti-causal prophecies of last century have been disproved. Causality is neither a ‘relic of a bygone’ nor ‘another fetish of modern science’; it still occupies a large part of the current debate in philosophy and the sciences. This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant (...) Download Export citation Bookmark 33 citations
Correlation, partial correlation, and causation.Frederick S. Ellett & David P. Ericson - 1986 - Synthese 67 (2):157-173.details Philosophers and scientists have maintained that causation, correlation, and partial correlation are essentially related. These views give rise to various rules of causal inference. This essay considers the claims of several philosophers and social scientists for causal systems with dichotomous variables. In section 2 important commonalities and differences are explicated among four major conceptions of correlation. In section 3 it is argued that whether correlation can serve as a measure of A's causal influence on B depends upon the conception of (...) Download Export citation Bookmark 9 citations
The causal assumptions of quasi-experimental practice.Thomas D. Cook & Donald T. Campbell - 1986 - Synthese 68 (1):141 - 180.details Download Export citation Bookmark 5 citations
An Analysis of Probabilistic Causation in Dichotomous Structures.Frederick S. Elett & David P. Ericson - 1986 - Synthese 67 (2):175-193.details During the past decades several philosophers of science and social scientists have been interested in the problems of causation. Recently attention has been given to probabilistic causation in dichotomous causal systems. The paper uses the basic features of probabilistic causation to argue that the causal modeling approaches developed by such researchers as Blalock and Duncan can provide, when an additional assumption is added, adequate qualitative measures of one variableś causal influence upon another. Finally, some of the difficulties and issues involved (...) Download Export citation Bookmark 3 citations

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