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Inhaltsangabe
In A Model Discipline, Kevin A. Clarke and David M. Primo turn a critical eye to the methodological approach that dominates modern political science. Clarke and Primo contend that the field's emphasis on model testing has led to a distortion of both the modeling process and the art of data analysis and cannot be logically justified. The authors argue that models should be seen as "objects" and thus regarded as neither true nor false. Models should instead be evaluated for their usefulness for a particular purpose. Divided into two parts, the book first establishes that current practice is not philosophy-free and rests on a number of questionable assumptions. The second part focuses on the different ways that theoretical and statistical models can be useful, and closes with a defensible justification for integrating theoretical and statistical models. A novel work of methodology, A Model Discipline offers a new perspective on long-held assumptions about the way research in the social sciences should be conducted.
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Über die Autorin bzw. den Autor
Kevin A. Clarke is Associate Professor of Political Science at the University of Rochester. His research focuses on political methodology and model discrimination tests. Clarke's articles have appeared in American Political Science Review, American Journal of Political Science, Political Analysis, and many other journals.
David M. Primo is Associate Professor of Political Science at the University of Rochester. His research focuses on American politics and political economy. Primo has authored or co-authored two books, The Plane Truth and Transportation Policy and Rules and Restraint, and many journal articles.
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A Model Discipline : Political Science and the Logic of Representations
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Oxford University Press, Incorporated, 2012
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A Model Discipline: Political Science and the Logic of Representations
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Model Discipline : Political Science and the Logic of Representations
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Paperback. Zustand: New. Political science is an intensely quantitative discipline, and models are central. Political scientists use models--formal and informal, statistical and qualitative--to investigate and illuminate causal mechanisms, generate comparative data, and understand the conditions under which certain outcomes are expected to occur. But even though the use of models has grown dramatically in the discipline, there is very little understanding among political scientists of the role or function that models play in the scientific enterprise more generally. Moreover, theoretical models and empirical models have traditionally been treated as separate (hence the division between theorists and empiricists). Today, however, the emphasis is on using models to generate testable predictions that serve as hypotheses for subsequent data analysis. But how do we justify and rationalize the method? Why test predictions from a deductive, and thus truth-preserving, system? David Primo and Kevin Clarke tackle these central questions in this novel work of methodology. They argue that the lack of a suitable justification for model testing is not the only reason to revisit the role of models in political science. Most importantly, they contend that models should be seen as 'objects' and thus neither true nor false. Rather, they should be evaluated in the same fashion as models are evaluated in the physical sciences--good models are useful for particular purposes. Nothing more, nothing less. Divided into two parts, the book first establishes that no social scientific endeavor is philosophy-free. The second part focuses on different types of models, and closes with a framework for integrating theoretical and statistical models. Bestandsnummer des Verkäufers LU-9780195382204
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