Making Social Sciences More Scientific: The Need for Predictive Models

Author:   Rein Taagepera (Research Professor, University of California, Irvine and University of Tartu)
Publisher:   Oxford University Press
ISBN:  

9780199534661


Pages:   264
Publication Date:   24 July 2008
Format:   Hardback
Availability:   To order   Availability explained
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Making Social Sciences More Scientific: The Need for Predictive Models


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Full Product Details

Author:   Rein Taagepera (Research Professor, University of California, Irvine and University of Tartu)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 16.00cm , Height: 2.00cm , Length: 24.00cm
Weight:   0.553kg
ISBN:  

9780199534661


ISBN 10:   0199534667
Pages:   264
Publication Date:   24 July 2008
Audience:   College/higher education ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Preface R Duncan Luce: Foreword Part I. The Limitations of Descriptive Methodology 1: Why Social Sciences Are Not Scientific Enough 2: Can Social Science Approaches Find the Law of Gravitation? 3: How to Construct Predictive Models: Simplicity and Non-Absurdity 4: Example of Model Building: Electoral Volatility 5: Physicists Multiply, Social Scientists Add--Even when It Doesn't Add up 6: All Hypotheses Are Not Created Equal 7: Why Most Numbers Published in Social Sciences Are Dead on Arrival Part II. Quantitatively Predictive Logical Models 8: Forbidden Areas and Anchor Points 9: Geometric Means and Lognormal Distributions 10: Example of Interlocking Models: Party Sizes and Cabinet Duration 11: Beyond Constraint-Based Models: Communication Channels and Growth Rates 12: Why We Should Shift to Symmetric Regression 13: All Indices Are Not Created Equal Part III. Synthesis of Predictive and Descriptive Approaches 14: From Descriptive to Predictive Approaches 15: Recommendations for Better Regression 16: Converting from Descriptive Analysis to Predictive Models 17: Are Electoral Studies a Rosetta Stone for Parts of Social Sciences? 18: Beyond Regression: The Need for Predictive Models References Index

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Author Information

Rein Taagepera has B.A.Sc. in engineering physics plus M.A. in physics from University of Toronto and Ph.D. in solid state physics plus M.A. in international relations from University of Delaware. After 6 years of industrial research at DuPont Co., he has taught political science at University of California, Irvine since 1970 and also at University of Tartu, Estonia since 1992. He ran third in Estonia's presidential elections 1992, and was in 2001 the founding chair of a political party that later won the elections. He has over 100 research articles in electoral studies, comparative politics, Baltic area studies, Finno-Ugric linguistics, and physics. His books include Seats and Votes (with Matthew Shugart), The Baltic States: Years of Dependence 1940-1990 (with Romuald Misiunas), The Finno-Ugric Republics and the Russian State, and and Predicting Party Sizes (Oxford University Press).

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