Bennett, Andrew, Charman, Andrew E. and Fairfield, Tasha 
ORCID: 0000-0003-1824-6386
(2022)
Understanding Bayesianism: fundamentals for process tracers.
Political Analysis, 30 (2).
298 - 305.
ISSN 1047-1987
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.
| Item Type: | Article |
|---|---|
| Official URL: | https://www.cambridge.org/core/journals/political-... |
| Additional Information: | © 2021 The Authors |
| Divisions: | International Development |
| Subjects: | Q Science > Q Science (General) H Social Sciences > H Social Sciences (General) |
| Date Deposited: | 01 Feb 2022 12:24 |
| Last Modified: | 09 Nov 2024 07:45 |
| URI: | http://eprints.lse.ac.uk/id/eprint/113589 |
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