Multi-Method Social Science

Combining Qualitative and Quantitative Tools

Nonfiction, Reference & Language, Reference, Research
Cover of the book Multi-Method Social Science by Jason Seawright, Cambridge University Press
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Author: Jason Seawright ISBN: 9781316789254
Publisher: Cambridge University Press Publication: September 8, 2016
Imprint: Cambridge University Press Language: English
Author: Jason Seawright
ISBN: 9781316789254
Publisher: Cambridge University Press
Publication: September 8, 2016
Imprint: Cambridge University Press
Language: English

Reflecting the rising popularity of research that combines qualitative and quantitative social science, Multi-Method Social Science provides the first systematic guide to designing multi-method research. It argues that methods can be productively combined using the framework of integrative multi-method research, with one method used to carry out a final causal inference, and methods from other traditions used to test the key assumptions involved in that causal inference. In making this argument, Jason Seawright considers a wide range of statistical tools including regression, matching, and natural experiments. The book also discusses qualitative tools including process tracing, the use of causal process observations, and comparative case study research. Along the way, the text develops over a dozen multi-method designs to test key assumptions about social science causation.

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Reflecting the rising popularity of research that combines qualitative and quantitative social science, Multi-Method Social Science provides the first systematic guide to designing multi-method research. It argues that methods can be productively combined using the framework of integrative multi-method research, with one method used to carry out a final causal inference, and methods from other traditions used to test the key assumptions involved in that causal inference. In making this argument, Jason Seawright considers a wide range of statistical tools including regression, matching, and natural experiments. The book also discusses qualitative tools including process tracing, the use of causal process observations, and comparative case study research. Along the way, the text develops over a dozen multi-method designs to test key assumptions about social science causation.

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