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http://bit.ly/IQMR-Modules MULTIMETHOD RESEARCH (2 days). Jason Seawright, Northwestern University. This module looks at how to productively combine qualitative and quantitative methods when the overall goal is causal inference. The module will be structured around a discussion of multi-method designs that use regression-type methods as the quantitative component of the causal inference. For example, one session looks closely at combining case studies with regression, offering research designs for testing assumptions connected with measurement, confounding, and the existence of a hypothesized causal path. Another will investigate case selection, asking how cases should best be selected from a larger population. Participants will also investigate how multi-method research works in the context of random (or as-if random) assignment, exploring how to design case studies in conjunction with experimental or natural-experimental research. Another session will consider what tools from statistics and machine learning can add to causal inferences based on process tracing.