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Электронный каталог: Dunning, T. - Natural experiments in the social sciences : a design-based approach
Dunning, T. - Natural experiments in the social sciences : a design-based approach
Книга
Автор: Dunning, T.
Natural experiments in the social sciences : a design-based approach
Серия: Strategies for social inquiry
Издательство: Cambridge University Press, 2012 г.
ISBN 978-1-107-69800-0
Автор: Dunning, T.
Natural experiments in the social sciences : a design-based approach
Серия: Strategies for social inquiry
Издательство: Cambridge University Press, 2012 г.
ISBN 978-1-107-69800-0
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Книга
Dunning, T.
Natural experiments in the social sciences : a design-based approach / T. Dunning . – Cambridge, UK : Cambridge University Press, 2012 . – 358 p. – (Strategies for social inquiry) . – На англ. яз. - ISBN 978-1-107-69800-0 .
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. Provides real examples of natural experiments, including standard natural experiments, regression-discontinuity designs and instrumental variables designs. Highlights the importance of strong research design over complex statistical models. Introduces quantitative analysis and also emphasizes the crucial role of multiple methods, including qualitative methods, proposing new ways to integrate the two. Develops a framework for evaluating the success of natural experiments, emphasizing the promise as well as the potential pitfalls of this method.
316
303
General = Sociology
General = Social science methods
Коллекции = Открытая научная библиотека
Dunning, T.
Natural experiments in the social sciences : a design-based approach / T. Dunning . – Cambridge, UK : Cambridge University Press, 2012 . – 358 p. – (Strategies for social inquiry) . – На англ. яз. - ISBN 978-1-107-69800-0 .
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. Provides real examples of natural experiments, including standard natural experiments, regression-discontinuity designs and instrumental variables designs. Highlights the importance of strong research design over complex statistical models. Introduces quantitative analysis and also emphasizes the crucial role of multiple methods, including qualitative methods, proposing new ways to integrate the two. Develops a framework for evaluating the success of natural experiments, emphasizing the promise as well as the potential pitfalls of this method.
316
303
General = Sociology
General = Social science methods
Коллекции = Открытая научная библиотека