Some problems of causal interpretation of statistical relationships
Philosophy of Science 27 (1):23-38 (1960)
| Abstract | In following paper an attempt will be made to analyse the statistical relationships between variables as the functions of causal relations existing between them. Our basic assumption here is that statistical relationships between traits, events, or characteristics of objects, may be logically derived from the pattern of their mutual causal connections, if this pattern is described by appropriate concepts and with sufficient precision. The first part of the paper presents basic concepts, which according to author's view may serve for the description of different patterns of causal relations in such a way, that statistical relationships corresponding to each pattern may be derived. It gives also examples of such a derivation for some less complicated cases. The second part of the paper is an attempt of application of proposed method to the understanding and critical consideration of some standard techniques of statistical analysis, especially those mostly used in social sciences | |||||||||
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Bruce Glymour (1998). Contrastive, Non-Probabilistic Statistical Explanations. Philosophy of Science 65 (3):448-471.
Judea Pearl (2000). Causality: Models, Reasoning, and Inference. Cambridge University Press.
Robert Northcott (2005). Pearson's Wrong Turning: Against Statistical Measures of Causal Efficacy. Philosophy of Science 72 (5):900-912.
Jeffrey S. Wicken (1981). Causal Explanations in Classical and Statistical Thermodynamics. Philosophy of Science 48 (1):65-77.
Lorenz Kruger (1976). Are Statistical Explanations Possible? Philosophy of Science 43 (1):129-146.
Gurol Irzik & Eric Meyer (1987). Causal Modeling: New Directions for Statistical Explanation. Philosophy of Science 54 (4):495-514.
Gurol Irzik (1986). Causal Modeling and the Statistical Analysis of Causation. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:12 - 23.
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