Causal Comparability, Causal Generalizations, and Epistemic Homogeneity

Philosophy of the Social Sciences 47 (3):183-208 (2017)
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Abstract

The issue of causal comparability in the social sciences underlies matters of both generalization and extrapolation. After critiquing two existing interpretations of comparability, due to Hitchcock and Hausman, I propose a distinction between ontological and epistemic comparability. While the former refers to whether two cases are actually comparable, the latter respects that in cases of incomplete information, we need to rely on whatever evidence we have of comparability. I argue, using a political science case study, that in those cases of imperfect information, an epistemic homogeneity criterion can be an adequate justification for generalization.

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Rosa W. Runhardt
Radboud University

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Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
Statistical explanation & statistical relevance.Wesley C. Salmon - 1971 - [Pittsburgh]: University of Pittsburgh Press. Edited by Richard C. Jeffrey & James G. Greeno.

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