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The Integration of Bayesian Regression Analysis and Bayesian Process Tracing in Mixed-Methods Research

Bibliographic Data

ID2331187
AuthorsLion Behrens (0000-0003-0493-0291, Independent Researcher, Frankfurt, Hessen, Germany), Ingo Rohlfing (0000-0001-8715-4771, University of Passau, corresponding author)
Year2025
Volume55
Issue1
Pages186-218
Publication date2025-01-23
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSociological Methods & Research (JOURNAL)
Journal identifiersISSN: 0049-1241 • E-ISSN: 1552-8294
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/00491241241295336
OpenAlexW4406769145
LanguageEN
Citations received1
References cited35

In this article, we develop a mixed-methods design that combines Bayesian regression with Bayesian process tracing. A fully Bayesian multimethod design allows one to include empirical knowledge at each stage of the analysis and to coherently transfer information from the quantitative to the qualitative analysis, and vice versa. We present a complete mixed-methods workflow explaining how this is accomplished and how to integrate both methods. It is demonstrated how to use the posterior highest density interval and the Bayes factor from the regression analysis to update the prior level of confidence about what mechanisms possibly connect the cause to the outcome. It is further shown how to choose cases for the qualitative analysis through posterior predictive sampling. We illustrate this approach with an empirical analysis of colonial development and compare it with alternative designs, including nested analysis and the Bayesian integration of qualitative and quantitative methods

Bayesian inference · Bayesian linear regression · Bayesian probability · Bayesian statistics · Econometrics · Machine learning · Political science · Process tracing · Regression analysis · Statistics · Advanced Causal Inference Techniques · Artificial Intelligence · Computer Science · Evaluation and Performance Assessment · Mathematics · Qualitative Comparative Analysis Research

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1
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