Multi-Method Social Science 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Multi-Method Social Science

简体网页||繁体网页
Jason Seawright 作者
Cambridge University Press
译者
2016-9-30 出版日期
246 页数
USD 99.99 价格
Hardcover
Strategies for Social Inquiry 丛书系列
9781107097711 图书编码

Multi-Method Social Science 在线电子书 图书标签: 研究方法  方法论  社会科学  政治科学  自我启发  混合方法  比较政治  政治学   


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发表于2024-11-25


Multi-Method Social Science 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Multi-Method Social Science 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Multi-Method Social Science 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Multi-Method Social Science 在线电子书 著者简介

Jason Seawright is an Associate Professor in the Department of Political Science at Northwestern University. He has written extensively about multi-method research and has published in journals including Political Analysis, Political Research Quarterly, Sociological Methodology, and Sociological Methods and Research. He was the author or co-author of several chapters in Rethinking Social Inquiry: Diverse Tools, Shared Standards, edited by Henry E. Brady and David Collier. He has taught courses on multi-method research design at institutes worldwide.


Multi-Method Social Science 在线电子书 图书目录


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Multi-Method Social Science 在线电子书 图书描述

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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