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Multi-method social science = combin...

Seawright, Jason.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multi-method social science/ Jason Seawright.
Reminder of title:	combining qualitative and quantitative tools /
Author:	Seawright, Jason.
Published:	Cambridge :Cambridge University Press, : 2016.,
Description:	viii, 238 p. :ill., digital ;24 cm.
Subject:	Social sciences - Methodology. -
Online resource:	https://doi.org/10.1017/CBO9781316160831
ISBN:	9781316160831

Multi-method social science = combining qualitative and quantitative tools /
Seawright, Jason.

Multi-method social sciencecombining qualitative and quantitative tools /[electronic resource] :Jason Seawright. - Cambridge :Cambridge University Press,2016. - viii, 238 p. :ill., digital ;24 cm. - Strategies for social inquiry. - Strategies for social inquiry..

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.

ISBN: 9781316160831Subjects--Topical Terms:

525593
Social sciences
--Methodology.

LC Class. No.: H61 / .S44756 2016

Dewey Class. No.: 300.721

Multi-method social science = combining qualitative and quantitative tools /
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520 $a 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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