Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107698006 ISBN 13: 9781107698000
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 52,04
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In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 368 pages. 9.53x0.71x6.85 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107698006 ISBN 13: 9781107698000
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2012. Paperback. The first comprehensive guide to natural experiments, providing an ideal introduction for scholars and students. Series: Strategies for Social Inquiry. Num Pages: 376 pages, 13 b/w illus. 14 tables. BIC Classification: GPS; JHBC. Category: (U) Tertiary Education (US: College). Dimension: 244 x 177 x 18. Weight in Grams: 688. A Design-Based Approach. Series: Strategies for Social Inquiry. 378 pages, 13 b/w illus. 14 tables. The first comprehensive guide to natural experiments, providing an ideal introduction for scholars and students. Cateogry: (U) Tertiary Education (US: College). BIC Classification: GPS; JHBC. Dimension: 244 x 177 x 18. Weight: 750. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107698006 ISBN 13: 9781107698000
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.