Causal efficacy and the analysis of variance

Biology and Philosophy 21 (2):253-276 (2006)
Download Edit this record How to cite View on PhilPapers
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.
(categorize this paper)
PhilPapers/Archive ID
Revision history
Archival date: 2015-11-21
View upload history
References found in this work BETA
Causality.Pearl, Judea
Causation, Prediction, and Search.Spirtes, Peter; Glymour, Clark & Scheines, Richard

View all 13 references / Add more references

Citations of this work BETA
Heritability.Downes, Stephen M.

View all 12 citations / Add more citations

Added to PP index

Total views
324 ( #13,869 of 50,428 )

Recent downloads (6 months)
32 ( #19,275 of 50,428 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks to external links.