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 The Politics of China by Jason Seawright
Cover of the book Cosmopolitan Communications by Jason Seawright
Cover of the book The Legacy of the French Revolutionary Wars by Jason Seawright
Cover of the book Central Banks at a Crossroads by Jason Seawright
Cover of the book Callimachus in Context by Jason Seawright
Cover of the book Paradise in Antiquity by Jason Seawright
Cover of the book Diving Physiology of Marine Mammals and Seabirds by Jason Seawright
Cover of the book Human Beings in International Relations by Jason Seawright
Cover of the book The Cambridge Companion to Shakespeare and Contemporary Dramatists by Jason Seawright
Cover of the book Communication Accommodation Theory by Jason Seawright
Cover of the book A Foundation in Digital Communication by Jason Seawright
Cover of the book Mental Disorders Around the World by Jason Seawright
Cover of the book The Cambridge Companion to Reformed Theology by Jason Seawright
Cover of the book The Material Life of Roman Slaves by Jason Seawright
Cover of the book Ethics and Law for Australian Nurses 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