Multi-Method Social Science 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Multi-Method Social Science

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Jason Seawright 作者
Cambridge University Press
譯者
2016-9-30 出版日期
246 頁數
USD 99.99 價格
Hardcover
Strategies for Social Inquiry 叢書系列
9781107097711 圖書編碼

Multi-Method Social Science 在線電子書 圖書標籤: 研究方法  方法論  社會科學  政治科學  自我啓發  混閤方法  比較政治  政治學   


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Multi-Method Social Science 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Multi-Method Social Science 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Multi-Method Social Science 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Multi-Method Social Science 在線電子書 著者簡介

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 在線電子書 著者簡介


Multi-Method Social Science 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Multi-Method Social Science 在線電子書 圖書描述

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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