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
Multi-Method Social Science: Combining Qualitative and Quantitative Tools
β Scribed by Jason Seawright
- Publisher
- Cambridge University Press
- Year
- 2016
- Tongue
- English
- Leaves
- 246
- Series
- Strategies for Social Inquiry
- Category
- Library
No coin nor oath required. For personal study only.
β¦ 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.
β¦ Subjects
Methodology;Social Sciences;Politics & Social Sciences;Research;Social Sciences;Politics & Social Sciences;Politics & Government;Elections & Political Process;Ideologies & Doctrines;International & World Politics;Political Science;Public Affairs & Policy;Specific Topics;United States;Politics & Social Sciences
π SIMILAR VOLUMES
<p>This book provides a straightforward, student-focused introduction to doing mixed methods research, covering everything from why and when mixed methods is appropriate, as well as how to use qualitative and quantitative methods in tandem.</p> <p>Assuming no prior research methods knowledge, it int
Structured around one of the concepts students struggle with the mostβthe research questionβthis book begins with how to understand the role of good questions before demonstrating how questions underpin good research designs and how social research can be framed as asking and answering questions. Pe
Structured around one of the concepts students struggle with the mostβthe research questionβthis book begins with how to understand the role of good questions before demonstrating how questions underpin good research designs and how social research can be framed as asking and answering questions. Pe
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrang