- Title Pages
- Foreword: Statistical Versus Scientific Inferences
- List of Figures
- List of Tables
- 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 Nonabsurdity
- 4 Example of Model Building: Electoral Volatility
- 5 Physicists Multiply, Social Scientists Add—Even When It Does Not Add Up
- 6 All Hypotheses Are Not Created Equal
- 7 Why Most Numbers Published in Social Sciences Are Dead on Arrival
- 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
- 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
- Making Social Sciences More Scientific
- Oxford University Press
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