David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Synthese 67 (2):175-193 (1986)
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 (1964) and Duncan (1975) can provide, when an additional assumption is added, adequate qualitative measures of one variable causal influence upon another. Finally, some of the difficulties and issues involved in developing adequate quantitative measures are discussed, and it is concluded that the causal modeling measures cannot provide adequate quantitative measures.
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References found in this work BETA
Nancy Cartwright (1983). How the Laws of Physics Lie. Oxford University Press.
Wesley Salmon (1984). Scientific Explanation and the Causal Structure of the World. Princeton University Press.
J. L. Mackie (1974). The Cement of the Universe. Oxford,Clarendon Press.
Ronald N. Giere (1997). Understanding Scientific Reasoning. Monograph Collection (Matt - Pseudo).
Citations of this work BETA
David P. Ericson & Frederick S. Ellett (1987). Teacher Accountability and the Causal Theory of Teaching. Educational Theory 37 (3):277-293.
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