Pragmatic Apparatus – When Experiments Need Models

Cited by Lee Sonogan

A Quick Guide to Experimental Design | 5 Steps & Examples

Abstract by Donal Khosrowi

This paper argues that an important type of experiment-target inference, extrapolating causal effects, requires models to be successful. Focusing on extrapolation in Evidence-Based Policy, it is argued that extrapolation should be understood not as an inference from an experiment to a target directly, but as a hybrid inference that involves experiments and models. A general framework, METI, is proposed to capture this role of models, and several benefits are outlined: (1) METI highlights epistemically significant interactions between experiments and models, (2) reconciles some differences among existing accounts of experiment-target relationships, and (3) facilitates critical appraisal of inferential practices from experiments.

Publication: Philosophy of the Social Sciences (Peer-Reviewed Journal)

Pub Date: Apr 21, 2021 Doi:

Keywords: experiments, models, experiment-target inference, extrapolation, external validity, evidence-based policy (Plenty more sections and references in this research article)

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