Partial explanations in social science’

In Harold Kincaid (ed.), The Oxford Handbook of Philosophy of Social Science. Oxford University Press. pp. 130-153 (2012)
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Abstract

Comparing different causes’ importance, and apportioning responsibility between them, requires making good sense of the notion of partial explanation, that is, of degree of explanation. How much is this subjective, how much objective? If the causes in question are probabilistic, how much is the outcome due to them and how much to simple chance? I formulate the notion of degree of causation, or effect size, relating it to influential recent work in the literature on causation. I examine to what extent mainstream social science methods--both quantitative and qualitative--succeed in establishing effect sizes so understood. The answer turns out to be, roughly: only to some extent. Next, the standard understanding of effect size, even though widespread, still has several underappreciated consequences. I detail some of those. Finally, I discuss the separate issue of explanandum-dependence, which is essential to assessing any cause’s explanatory importance and yet which has been comparatively neglected.

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Robert Northcott
Birkbeck, University of London

Citations of this work

Harm and Causation.Robert Northcott - 2015 - Utilitas 27 (2):147-164.
Degree of explanation.Robert Northcott - 2012 - Synthese 190 (15):3087-3105.
Conceived this way: innateness defended.Northcott Robert - forthcoming - Philosophers Imprint.

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References found in this work

The Scientific Image.William Demopoulos & Bas C. van Fraassen - 1982 - Philosophical Review 91 (4):603.
Causality.Judea Pearl - 2000 - Cambridge University Press.
The Scientific Image.Michael Friedman - 1982 - Journal of Philosophy 79 (5):274-283.
Making Things Happen. A Theory of Causal Explanation.Michael Strevens - 2007 - Philosophy and Phenomenological Research 74 (1):233-249.

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