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Multi-Method Social Science: Combining Qualitative And Quantitative Tools

✍ Scribed by Jason Seawright


Publisher
Cambridge University Press
Year
2016
Tongue
English
Leaves
246
Series
Strategies For Social Inquiry
Edition
1st Edition
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Cover......Page 1
Frontmatter......Page 2
Contents......Page 6
List of Figures and Tables......Page 8
Acknowledgments......Page 9
1 - Integrative Multi-Method Research......Page 10
2 - Causation as a Shared Standard......Page 28
3 - Using Case Studies to Test and Refine Regressions......Page 54
4 - Case Selection after Regression......Page 84
5 - Combining Case Studies and Matching......Page 116
6 - Combining Case Studies and Natural Experiments......Page 133
7 - Embedding Case Studies within Experiments......Page 159
8 - Multi-Method Case Studies......Page 180
Appendix: Qualitative Causal Models and the Potential-Outcomes Framework......Page 200
References......Page 216
Index......Page 237

✦ Subjects


Social Sciences: Research: Methodology, Research Methods In Politics, Research Methods In Sociology And Criminology, Qualitative Research Methods


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