Multi-method social science : combining qualitative and quantitative tools /

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-met...

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Bibliographic Details
Main Author: Seawright, Jason (Author)
Format: eBook
Language:English
Published: Cambridge : Cambridge University Press, 2016.
Series:Strategies for social inquiry.
Subjects:
Online Access:CONNECT
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Description
Summary: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.
Item Description:Title from publisher's bibliographic system (viewed on 06 Sep 2016).
Physical Description:1 online resource (viii, 238 pages) : digital, PDF file(s).
ISBN:9781316160831 (ebook)