Fang, Wei (2018) Mixed-Effects Modeling and Non-Reductive Explanation. In: UNSPECIFIED.
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Abstract
This essay considers a mixed-effects modeling practice and its implications for the philosophical debate surrounding reductive explanation. Mixed-effects modeling is a species of the multilevel modeling practice, where a single model incorporates simultaneously two (or even more) levels of explanatory variables to explain a phenomenon of interest. I argue that this practice makes the position of explanatory reductionism held by many philosophers untenable, because it violates two central tenets of explanatory reductionism: single level preference and lower-level obsession.
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Item Type: | Conference or Workshop Item (UNSPECIFIED) | ||||||
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Keywords: | mixed-effects models; multilevel modeling; non-reductive explanation; scientific explanation | ||||||
Subjects: | General Issues > Explanation General Issues > Models and Idealization |
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Depositing User: | Dr. Wei Fang | ||||||
Date Deposited: | 24 Jun 2018 13:44 | ||||||
Last Modified: | 24 Jun 2018 13:44 | ||||||
Item ID: | 14811 | ||||||
Subjects: | General Issues > Explanation General Issues > Models and Idealization |
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Date: | 24 June 2018 | ||||||
URI: | http://philsci-archive.pitt.edu/id/eprint/14811 |
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