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Understanding Bayesianism: Fundamentals for Process Tracers

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  • Bennett, Andrew
  • Charman, Andrew E.
  • Fairfield, Tasha

Abstract

Bayesian analysis has emerged as a rapidly expanding frontier in qualitative methods. Recent work in this journal has voiced various doubts regarding how to implement Bayesian process tracing and the costs versus benefits of this approach. In this response, we articulate a very different understanding of the state of the method and a much more positive view of what Bayesian reasoning can do to strengthen qualitative social science. Drawing on forthcoming research as well as our earlier work, we focus on clarifying issues involving mutual exclusivity of hypotheses, evidentiary import, adjudicating among more than two hypotheses, and the logic of iterative research, with the goal of elucidating how Bayesian analysis operates and pushing the field forward.

Suggested Citation

  • Bennett, Andrew & Charman, Andrew E. & Fairfield, Tasha, 2022. "Understanding Bayesianism: Fundamentals for Process Tracers," Political Analysis, Cambridge University Press, vol. 30(2), pages 298-305, April.
    • Handle: RePEc:cup:polals:v:30:y:2022:i:2:p:298-305_10
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