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Causal efficacy and the analysis of variance

Northcott, Robert (2006) Causal efficacy and the analysis of variance. pp. 253-276.

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Abstract

The causal impact 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 reponsible 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
2) a superior alternative definition is available that readily reconciles both the entangled-singleton and the population-variation senses of causal efficacy.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Northcott, Robertr.northcott@bbk.ac.uk
Keywords: causation; analysis of variance; statistics
Subjects: General Issues > Causation
Specific Sciences > Probability/Statistics
Depositing User: Dr Robert Northcott
Date Deposited: 30 Nov 2018 21:28
Last Modified: 30 Nov 2018 21:28
Item ID: 15410
Subjects: General Issues > Causation
Specific Sciences > Probability/Statistics
Date: March 2006
Page Range: pp. 253-276
Volume: 21
Number: 2
URI: http://philsci-archive.pitt.edu/id/eprint/15410

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