What Good Is a Regression? Inference to the Best Explanation and the Practice of Political Science Research

We argue that almost all empirical social science research should employ a mode of argumentation called “Inference to the Best Explanation” (IBE). While elements of IBE appear widely, it is seldom consciously described, leading to confusion about the role that evidence plays in social science claims. We describe what IBE is and its implications for the evaluation of studies of various types—from quantitative description, to traditional regression studies, to work with modern causal identification. We contend that debates over the merits of these approaches should be understood as debates over the relative weight scholars place on quality of explanations, the quality of evidence, and the bridge between the two. Seeing the process this way helps highlight the merits of different research traditions and explains common pathologies of the same. Informed by IBE, we clarify the motivation for certain advice in regression studies and offer guidance on best practice.

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Publication Details

Journal
The Journal of Politics
Published
2024-12-13
DOI
https://doi.org/10.1086/734280
Citations
7
Primary Topic
Qualitative Comparative Analysis Research
Type
article
Field-Weighted Citation Impact
6.79
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article

What Good Is a Regression? Inference to the Best Explanation and the Practice of Political Science Research

Arthur Spirling, Brandon Stewart
7 citations
The Journal of Politics
Qualitative Comparative Analysis Research
6.79
article

What Good Is a Regression? Inference to the Best Explanation and the Practice of Political Science Research

Arthur Spirling, Brandon Stewart
article en
7 citations

Abstract

We argue that almost all empirical social science research should employ a mode of argumentation called “Inference to the Best Explanation” (IBE). While elements of IBE appear widely, it is seldom consciously described, leading to confusion about the role that evidence plays in social science claims. We describe what IBE is and its implications for the evaluation of studies of various types—from quantitative description, to traditional regression studies, to work with modern causal identification. We contend that debates over the merits of these approaches should be understood as debates over the relative weight scholars place on quality of explanations, the quality of evidence, and the bridge between the two. Seeing the process this way helps highlight the merits of different research traditions and explains common pathologies of the same. Informed by IBE, we clarify the motivation for certain advice in regression studies and offer guidance on best practice.

The Journal of PoliticsVol. 87(4)
Princeton University (US)
Openalex Percentile: Top 3%
Qualitative Comparative Analysis Research
6.79
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