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Mixed-Effects Modeling and Non-Reductive Explanation

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)
Creators:
CreatorsEmailORCID
Fang, Weiwesleyfang@tongji.edu.cn
Keywords: mixed-effects models; multilevel modeling; non-reductive explanation; scientific explanation
Subjects: General Issues > Explanation
General Issues > Models and Idealization
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
Date: 24 June 2018
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/14811

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