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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Cambridge University Press

Cover of the book Shakespeare beyond English by Jason Seawright
Cover of the book Japanese by Jason Seawright
Cover of the book Kierkegaard: Fear and Trembling by Jason Seawright
Cover of the book Groups St Andrews 2017 in Birmingham by Jason Seawright
Cover of the book Virgil's Eclogues and the Art of Fiction by Jason Seawright
Cover of the book Middle Egyptian Literature by Jason Seawright
Cover of the book Middle Egyptian by Jason Seawright
Cover of the book Dante: Monarchy by Jason Seawright
Cover of the book Reading the Ruins by Jason Seawright
Cover of the book Geophysical Waves and Flows by Jason Seawright
Cover of the book Bavarian Tourism and the Modern World, 1800–1950 by Jason Seawright
Cover of the book The Cambridge Companion to Alexander Pope by Jason Seawright
Cover of the book Green Retreats by Jason Seawright
Cover of the book Contracts in the Real World by Jason Seawright
Cover of the book Race, Empire and First World War Writing by Jason Seawright
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy