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A Model Discipline: Political Science and the Logic of Representation
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- Buy it nowA Model Discipline: Political Science and the Logic of Representations by Clarke
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Located in: Clemmons, North Carolina, United States
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eBay item number:165723015246
Item specifics
- Condition
- Publication Date
- 2012-01-20
- Pages
- 232
- ISBN
- 9780195382204
- Subject Area
- Political Science
- Publication Name
- Model Discipline : Political Science and the Logic of Representations
- Publisher
- Oxford University Press, Incorporated
- Item Length
- 6 in
- Subject
- History & Theory, General
- Publication Year
- 2012
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.5 in
- Item Weight
- 14.1 Oz
- Item Width
- 9 in
- Number of Pages
- 232 Pages
About this product
Product Identifiers
Publisher
Oxford University Press, Incorporated
ISBN-10
019538220X
ISBN-13
9780195382204
eBay Product ID (ePID)
25038608477
Product Key Features
Number of Pages
232 Pages
Publication Name
Model Discipline : Political Science and the Logic of Representations
Language
English
Publication Year
2012
Subject
History & Theory, General
Type
Textbook
Subject Area
Political Science
Format
Trade Paperback
Dimensions
Item Height
0.5 in
Item Weight
14.1 Oz
Item Length
6 in
Item Width
9 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2011-015267
Dewey Edition
22
Reviews
"This is an outstanding book that should be read, thought about, and discussed by every political scientist. Professors Clarke and Primo provide a clear discussion of what models are, a persuasive critique of current practice in the discipline, and solid guidance for how to effectively assess models of all types. This is a must-read."--Andrew D. Martin, Professor of Law and Political Science, Washington University in St. Louis"This is not a book for those who need the comforts of conventional wisdom. It mounts a powerful challenge to our prevailing orthodoxies, both theoretical and methodological. This is fresh, aggressive thinking--a joy to encounter."--Christopher Achen, Princeton University"This smart book proposes two things simultaneously for political scientists. First, we ought to have a consensus on what we should not do with our models, and that is we should not insist on testing them as models. But second, we also ought to allow for diversity in what our theoretical models can do, how they are judged, and how they are structured. They argue that models ought to be judged based on how useful they are. The same can be said for books-and thisis a very useful book."--Ken Kollman, University of Michigan, Ann Arbor, "This is an outstanding book that should be read, thought about, and discussed by every political scientist. Professors Clarke and Primo provide a clear discussion of what models are, a persuasive critique of current practice in the discipline, and solid guidance for how to effectively assess models of all types. This is a must-read."--Andrew D. Martin, Professor of Law and Political Science, Washington University in St. Louis "This is not a book for those who need the comforts of conventional wisdom. It mounts a powerful challenge to our prevailing orthodoxies, both theoretical and methodological. This is fresh, aggressive thinking--a joy to encounter."--Christopher Achen, Princeton University "This smart book proposes two things simultaneously for political scientists. First, we ought to have a consensus on what we should not do with our models, and that is we should not insist on testing them as models. But second, we also ought to allow for diversity in what our theoretical models can do, how they are judged, and how they are structured. They argue that models ought to be judged based on how useful they are. The same can be said for books-and this is a very useful book."--Ken Kollman, University of Michigan, Ann Arbor, "This is an outstanding book that should be read, thought about, and discussed by every political scientist. Professors Clarke and Primo provide a clear discussion of what models are, a persuasive critique of current practice in the discipline, and solid guidance for how to effectively assess models of all types. This is a must-read."--Andrew D. Martin, Professor of Law and Political Science, Washington University in St. Louis "This is not a book for those who need the comforts of conventional wisdom. It mounts a powerful challenge to our prevailing orthodoxies, both theoretical and methodological. This is fresh, aggressive thinking-a joy to encounter."--Christopher Achen, Princeton University "This smart book proposes two things simultaneously for political scientists. First, we ought to have a consensus on what we should not do with our models, and that is we should not insist on testing them as models. But second, we also ought to allow for diversity in what our theoretical models can do, how they are judged, and how they are structured. They argue that models ought to be judged based on how useful they are. The same can be said for books-and this is a very useful book."--Ken Kollman, University of Michigan, Ann Arbor "This is an outstanding book that should be read, thought about, and discussed by every political scientist. Professors Clarke and Primo provide a clear discussion of what models are, a persuasive critique of current practice in the discipline, and solid guidance for how to effectively assess models of all types."--Andrew D. Martin, Washington University in St. Louis, "This is an outstanding book that should be read, thought about, and discussed by every political scientist. Professors Clarke and Primo provide a clear discussion of what models are, a persuasive critique of current practice in the discipline, and solid guidance for how to effectively assess models of all types. This is a must-read."--Andrew D. Martin, Professor of Law and Political Science, Washington University in St. Louis"This is not a book for those who need the comforts of conventional wisdom. It mounts a powerful challenge to our prevailing orthodoxies, both theoretical and methodological. This is fresh, aggressive thinking--a joy to encounter."--Christopher Achen, Princeton University"This smart book proposes two things simultaneously for political scientists. First, we ought to have a consensus on what we should not do with our models, and that is we should not insist on testing them as models. But second, we also ought to allow for diversity in what our theoretical models can do, how they are judged, and how they are structured. They argue that models ought to be judged based on how useful they are. The same can be said for books-and this is a very useful book."--Ken Kollman, University of Michigan, Ann Arbor, "This is an outstanding book that should be read, thought about, and discussed by every political scientist. Professors Clarke and Primo provide a clear discussion of what models are, a persuasive critique of current practice in the discipline, and solid guidance for how to effectively assess models of all types. This is a must-read."--Andrew D. Martin, Professor of Law and Political Science, Washington University in St. Louis
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
320
Table Of Content
Preface1. A Model Discipline1.1 The Model in Political Science1.2 Metaphors and Analogies, Fables and Fictions1.3 The broad themes of the book1.3.1 Science is not what we think it is1.3.2 Current practice is not "philosophy-free"1.3.3 Models are objects1.3.4 Models are not tested with data1.3.5 Explanation1.4 Plan of the Book1.5 What this Book is Not2. The Science in Political Science2.1 Introduction2.2 What Political Scientists Say They Are Doing2.3 Hypothetico-Deductivism2.4 Problems with H-D2.4.1 Deductions are Truth-Preserving2.4.2 Data Can't Speak for Themselves2.4.3 Other Problems with H-D2.5 How We Got Here2.5.1 Logical Positivism2.5.2 Pathologies of Rational Choice2.5.3 Methods and Models2.5.4 The Empirical Implications of Theoretical Models2.6 Conclusion3. What is a Model?3.1 Introduction3.2 Models as Maps3.3 A Few Examples3.4 The Received View of Scientific Theories3.5 The Semantic Conception of Scientific Theories3.6 The Model-Based View of Scientific Theories3.7 Models and Theories3.8 Conclusion4. Theoretical Models4.1 Introduction4.2 Aspects of Theoretical Models4.3 The Purposes of Models4.3.1 Foundational Models4.3.2 Organizational Models4.3.3 Exploratory Models4.3.4 Predictive Models4.4 Judging a Theoretical Model4.4.1 Prediction is the Wrong Standard (Usually)4.4.2 The Illusion of Precise Standards4.4.3 Dimensions of Usefulness4.5 Conclusion5. Empirical Models5.1 Introduction5.2 What is an Empirical Model?5.2.1 A Model-Based Understanding5.3 The Purposes of Empirical Models5.4 The Illogic of Theory Testing5.4.1 Falsificationism5.4.2 Verificationism5.4.3 Bayesian Confirmation5.5 The Other Uses of Empirical Modeling5.6 Conclusion6. Explanation6.1 Introduction6.2 Existing justifications6.3 Explanation6.3.1 What constitutes an explanation?6.3.2 Explanation in Political Science6.4 Models as explanations6.5 Choosing among explanations6.5.1 Comparative Model Testing6.5.2 Is choosing necessary?6.6 Conclusion7. Conclusion7.1 Introduction7.2 Review of the argument7.3 Issues and counterargumentsBibliography
Synopsis
Political science is an increasingly model-driven discipline. Political scientists use models--formal and informal, quantitative and qualitative--to investigate and illuminate causal mechanisms, study patterns in datasets, and understand the conditions under which certain outcomes are expected to occur. But how do political scientists justify and rationalize this method? Why test predictions from a deductive, and thus truth-preserving, system? David Primo and Kevin Clarke tackle these important questions in this novel work of methodology., 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., 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.
LC Classification Number
JA71.C528 2011
Copyright Date
2011
ebay_catalog_id
4
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eBay item number:165723015246
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