Natural Experiments in the Social Sciences 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Natural Experiments in the Social Sciences

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Thad Dunning 作者
Cambridge University Press
譯者
2012-9-6 出版日期
380 頁數
GBP 28.99 價格
Paperback
Strategies for Social Inquiry 叢書系列
9781107698000 圖書編碼

Natural Experiments in the Social Sciences 在線電子書 圖書標籤: 社會科學  研究方法  自然實驗  自我啓發  確率統計  方法論   


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Natural Experiments in the Social Sciences 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Natural Experiments in the Social Sciences 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Natural Experiments in the Social Sciences 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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一年級學study design是按照Campbell & Stanley 1966那本書學的……現在看起來好多不足的說,畢竟已經過瞭幾十年瞭

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一年級學study design是按照Campbell & Stanley 1966那本書學的……現在看起來好多不足的說,畢竟已經過瞭幾十年瞭

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我都忘瞭我有沒有看完一章。。。

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我都忘瞭我有沒有看完一章。。。

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一年級學study design是按照Campbell & Stanley 1966那本書學的……現在看起來好多不足的說,畢竟已經過瞭幾十年瞭

Natural Experiments in the Social Sciences 在線電子書 著者簡介

Thad Dunning is Associate Professor of Political Science at Yale University and a research fellow at Yale's Institution for Social and Policy Studies and the Whitney and Betty MacMillan Center for International and Area Studies. He has written on a range of methodological topics, including impact evaluation, econometric corrections for selection effects and multi-method research in the social sciences, and his first book, Crude Democracy: Natural Resource Wealth and Political Regimes (Cambridge University Press, 2008), won the Best Book Award from the Comparative Democratization Section of the American Political Science Association.


Natural Experiments in the Social Sciences 在線電子書 著者簡介


Natural Experiments in the Social Sciences 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Natural Experiments in the Social Sciences 在線電子書 圖書描述

This unique book is the first comprehensive guide to the discovery, analysis, and evaluation of natural experiments - an increasingly popular methodology in the social sciences. Thad Dunning provides an introduction to key issues in causal inference, including model specification, and emphasizes the importance of strong research design over complex statistical analysis. Surveying many examples of standard natural experiments, regression-discontinuity designs, and instrumental-variables designs, Dunning highlights both the strengths and potential weaknesses of these methods, aiding researchers in better harnessing the promise of natural experiments while avoiding the pitfalls. Dunning also demonstrates the contribution of qualitative methods to natural experiments and proposes new ways to integrate qualitative and quantitative techniques. Chapters complete with exercises and appendices covering specialized topics such as cluster-randomized natural experiments, make this an ideal teaching tool as well as a valuable book for professional researchers.

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