David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
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 Human paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models: e.g. Rubin’s model, contingency tables, and multilevel analysis. It is also shown to be latent – yet fundamental – in many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability. This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various issues causality rises in social science. "Dr. Federica... more on http://springer.com/978-1-4020-8816-2..
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Federica Russo (2009). Variational Causal Claims in Epidemiology. Perspectives in Biology and Medicine 52 (4):540-554.
Martin Bunzl (1984). A Causal Model for Causal Priority. Erkenntnis 21 (1):31 - 44.
Federica Russo & Jon Williamson (2007). Interpreting Causality in the Health Sciences. International Studies in the Philosophy of Science 21 (2):157 – 170.
Judea Pearl (2000). Causality: Models, Reasoning, and Inference. Cambridge University Press.
Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.) (2011). Causality in the Sciences. Oxford University Press.
D. Steel (2012). Federica Russo * Causality and Causal Modelling in the Social Sciences: Measuring Variations. British Journal for the Philosophy of Science 63 (3):725-728.
Jaakko Kuorikoski (2011). Variations in Causal Reasoning Causality and Causal Modelling in the Social Sciences: Measuring Variations. Journal of Economic Methodology 18 (3):301-305.
Added to index2009-01-28
Total downloads38 ( #48,841 of 1,101,944 )
Recent downloads (6 months)4 ( #91,857 of 1,101,944 )
How can I increase my downloads?