Causal efficacy and the analysis of variance
Biology and Philosophy 21 (2):253-276 (2006)
Abstract
The causal impacts of genes and environment on any one biological trait are inextricably entangled, and consequently it is widely accepted that it makes no sense in singleton cases to privilege either factor for particular credit. On the other hand, at a population level it may well be the case that one of the factors is responsible for more variation than the other. Standard methodological practice in biology uses the statistical technique of analysis of variance to measure this latter kind of causal efficacy. In this paper, I argue that: 1) analysis of variance is in fact badly suited to this role; and.Author's Profile
DOI
10.1007/s10539-005-8304-3
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Citations of this work
”More of a Cause’: Recent Work on Degrees of Causation and Responsibility.Alex Kaiserman - 2018 - Philosophy Compass 13 (7):e12498.
References found in this work
Making Things Happen: A Theory of Causal Explanation.James Woodward - 2003 - Oxford University Press.
Making Things Happen. A Theory of Causal Explanation.Michael Strevens - 2007 - Philosophy and Phenomenological Research 74 (1):233-249.