Download e-book for iPad: A model discipline: political science and the logic of by Kevin A. Clarke

By Kevin A. Clarke

ISBN-10: 0195382196

ISBN-13: 9780195382198

ISBN-10: 019538220X

ISBN-13: 9780195382204

"In A version self-discipline, Kevin A. Clarke and David M. Primo flip a serious eye to the methodological process that dominates sleek political technological know-how. Clarke and Primo contend that the field's emphasis on version trying out has ended in a distortion of either the modeling method and the paintings of knowledge research and can't be logically justified. The authors argue that types might be obvious as "objects" and therefore appeared as Read more...

summary: "In A version self-discipline, Kevin A. Clarke and David M. Primo flip a serious eye to the methodological strategy that dominates sleek political technological know-how. Clarke and Primo contend that the field's emphasis on version trying out has ended in a distortion of either the modeling approach and the artwork of knowledge research and can't be logically justified. The authors argue that types might be visible as "objects" and hence considered as neither real nor fake. types may still in its place be evaluated for his or her usefulness for a specific goal. Divided into elements, the e-book first establishes that present perform isn't philosophy-free and rests on a few questionable assumptions. the second one half specializes in different ways in which theoretical and statistical types may be priceless, and closes with a defensible justification for integrating theoretical and statistical versions. a singular paintings of method, A version self-discipline bargains a brand new standpoint on long-held assumptions in regards to the means study within the social sciences can be conducted."--Publisher's site

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Additional info for A model discipline: political science and the logic of representations

Example text

To test the hypothesis, we set up an experiment or an examination of the world and observe either O or ∼ O. (Kyburg 1988, 65) If we conclude that the observation sentence, O, is not true in the world, then we have refuted H. If we conclude that the observation sentence, O, is true in the world, then we have confirmed H or, at the very least, failed to refute it. Replace hypothesis, H, in the foregoing, with theory, T, and replace observation statement, O, with hypothesis, H, and we have the method described by Krehbiel (1991), Zaller (1992), Bueno de Mesquita and Lalman (1992), Geddes (2003), Bates (2008), and Clark, Golder, and Golder (2008).

This book has little to say directly about qualitative research, experimental research, and computational modeling. These topics are not featured not because they are unimportant but because the conversation in political science in recent years has revolved around formal models and statistical models (mostly due to the EITM project). That being said, we see no reason the argument we make in this book should not apply to these parts of the discipline. In fact, it seems that a model-based view of science would be a particular boon to computational modelers, who are still struggling to gain acceptance within political science.

To generate testable predictions, Huth et al. combine structural realism with prospect theory (Kahneman and Tversky 1979). Although the authors claim to falsify structural realism, it is unclear whether structural realism or prospect theory or the way the two are combined caused the ill fit to the data. In addition, any number of auxiliary hypotheses concerning measurement, identification, ceteris paribus The Science in Political Science 41 clauses, the functional form, or the error term could be responsible for the refutation.

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A model discipline: political science and the logic of representations by Kevin A. Clarke


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