Understanding Bayesianism: Fundamentals for Process Tracers

Autor:	A. E. Charman, Tasha Fairfield, Andrew Bennett
Rok vydání:	2021
Předmět:	0504 sociology Sociology and Political Science Computer science Process (engineering) 05 social sciences Political Science and International Relations 050602 political science & public administration 050401 social sciences methods Biochemical engineering 0506 political science
Zdroj:	Political Analysis. 30:298-305
ISSN:	1476-4989 1047-1987
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::44a9237ba5a2fea263cabdb77bb4c3b6 https://doi.org/10.1017/pan.2021.23 Zobrazit plný text záznamu