Making social sciences more scientific : the need for predictive models / Rein Taagepera.
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| Format: | Ebook |
| Language: | English |
| Published: |
Oxford ; New York :
Oxford University Press,
2008.
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| Online Access: | Oxford Scholarship Online |
Table of Contents:
- Why social sciences are not scientific enough
- Can social science approaches find the law of gravitation?
- How to construct predictive models: simplicity and nonabsurdity
- Example of model building: electoral volatility
- Physicists multiply, social scientists add---even when it does not add up
- All hypotheses are not created equal
- Why most numbers published in social sciences are dead on arrival
- Forbidden areas and anchor points
- Geometric means and lognormal distributions
- Example of interlocking models : party sizes and cabinet duration
- Beyond constraint-based models : communication channels and growth rates
- Why we should shift to symmetric regression
- All indices are not created equal
- From descriptive to predictive approaches
- Recommendations for better regression
- Converting from descriptive analysis to predictive models
- Are electoral studies a rosetta stone for parts of social sciences?
- Beyond regression : the need for predictive models.