Mixing Methods: A Bayesian Approach

@article{Humphreys2015MixingMA,
  title={Mixing Methods: A Bayesian Approach},
  author={Macartan Humphreys and Alan M. Jacobs},
  journal={American Political Science Review},
  year={2015},
  volume={109},
  pages={653 - 673}
}
We develop an approach to multimethod research that generates joint learning from quantitative and qualitative evidence. The framework—Bayesian integration of quantitative and qualitative data (BIQQ)—allows researchers to draw causal inferences from combinations of correlational (cross-case) and process-level (within-case) observations, given prior beliefs about causal effects, assignment propensities, and the informativeness of different kinds of causal-process evidence. In addition to… 
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