Process Tracing and the Problem of Evaluating Causal Relationships Within a Case

Process tracing method in the social sciences seek to assess hypothesized causal mechanisms in individual cases, but practitioners face a problem: How to use within-case evidence to evaluate singular causal relationships within hypothesized mechanism. This paper presents a partial solution to this problem by treating detailed features of the outcomes as observable consequences of the hypothesized causal relationships, given suitable auxiliary assumptions. This approach is then illustrated through analysis of a process-tracing study by Vesla Weaver. The paper concludes by examining how the feature-based approach relates to other frameworks for assessing singular causal claims.

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Publication Details

Journal
Philosophy of the Social Sciences
Published
2026-04-13
DOI
https://doi.org/10.1177/00483931261441189
Primary Topic
Qualitative Comparative Analysis Research
Type
article
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article

Process Tracing and the Problem of Evaluating Causal Relationships Within a Case

Yafeng Wang
Philosophy of the Social Sciences
Qualitative Comparative Analysis Research
article

Process Tracing and the Problem of Evaluating Causal Relationships Within a Case

Yafeng Wang
article en

Abstract

Process tracing method in the social sciences seek to assess hypothesized causal mechanisms in individual cases, but practitioners face a problem: How to use within-case evidence to evaluate singular causal relationships within hypothesized mechanism. This paper presents a partial solution to this problem by treating detailed features of the outcomes as observable consequences of the hypothesized causal relationships, given suitable auxiliary assumptions. This approach is then illustrated through analysis of a process-tracing study by Vesla Weaver. The paper concludes by examining how the feature-based approach relates to other frameworks for assessing singular causal claims.

Philosophy of the Social Sciences
Universidad del Noreste (MX)
Reduced inequalities
Openalex Percentile: Top 14%
Qualitative Comparative Analysis Research
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