Mechanisms, Bayesianism, and process tracing

James L Mahoney*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

ABSTRACT: This essay examines the role of mechanisms and Bayesian inference in process tracing. With respect to mechanisms, I argue that the core of process tracing with causal inference is the identification of mechanisms understood as intervening events. Events are different from standard intervening variables when used with process tracing, because events are treated as sets in which cases can have membership. With respect to Bayesian analysis, I concur with recent writings that suggest Bayesian inference is at the heart of process tracing. The Bayesian nature of process tracing explains why it is inappropriate to view qualitative research as suffering from a small-N problem and certain standard causal identification problems. More generally, the paper shows how the power of process tracing as a qualitative methodology depends on and grows from its set-theoretic underpinnings.

Original languageEnglish (US)
Pages (from-to)493-499
Number of pages7
JournalNew Political Economy
Volume21
Issue number5
DOIs
StatePublished - Sep 2 2016

Keywords

  • Bayesianism
  • Process tracing
  • mechanisms
  • set theory

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Development
  • Political Science and International Relations

Fingerprint Dive into the research topics of 'Mechanisms, Bayesianism, and process tracing'. Together they form a unique fingerprint.

Cite this