Natural experiments in the social sciences : a design-based approach /
by Dunning, Thad.
Series: Strategies for social inquiry.Publisher: Cambridge ; New York : Cambridge University Press, 2012Description: xix, 358 p. ; 26 cm.ISBN: 9781107017665 (hdbk); 9781107017665 (hdbk).Subject(s): Social sciences -- Experiments | Social sciences -- Research | Experimental designOnline resources: Contributor biographical information | Publisher description | Table of contents only
Contents:
Why natural experiments? -- Standard natural experiments -- Regression-discontinuity designs -- Instrumental-variables designs -- Simplicity and transparency: keys to quantitative analysis -- Estimating variability: sampling processes and standard errors -- The central role of qualitative evidence -- How plausible is as-if random? -- How credible is the model? -- How relevant is the intervention? -- Building strong research designs through multi-method.
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H 62 .D797 2012 (Browse shelf) | Checked out | 11/14/2022 |
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H 61.25 .D42 2005 Computational and mathematical modeling in the social sciences / | H 62 .A6265 2008 Approaches and methodologies in the social sciences : | H62 .D 2543 2007 Doing a successful research project : | H 62 .D797 2012 Natural experiments in the social sciences : | H 62 .G47 2007 Case study research : | H 97 .J853 2002 Judgments, decisions, and public policy / | H 97 .J853 2002 Judgments, decisions, and public policy / |
Includes bibliographical references (p. 338-352) and index.
Why natural experiments? -- Standard natural experiments -- Regression-discontinuity designs -- Instrumental-variables designs -- Simplicity and transparency: keys to quantitative analysis -- Estimating variability: sampling processes and standard errors -- The central role of qualitative evidence -- How plausible is as-if random? -- How credible is the model? -- How relevant is the intervention? -- Building strong research designs through multi-method.
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