By Andrew Gelman, Jeronimo Cortina
To foster a deeper realizing of the interconnection of the social sciences, economists should still understand the place old facts come from, sociologists should still understand how to imagine like economists, political scientists would get advantages from knowing how types are verified in psychology, historians should still learn the way political strategies are studied, psychologists may still comprehend sociological theories, etc. This evaluate by way of renowned social scientists provides an obtainable, non-technical feel of the way quantitative learn is finished within the social sciences. Upon completing this e-book, the reader must have a feeling of the various versions and alternative ways of considering in economics, heritage, sociology, political technological know-how and psychology, which in flip they could deliver again to their significant box.
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Additional info for A Quantitative Tour of the Social Sciences
This is an example of a sophisticated mathematical model being created to explain behavior The Allure and Limitations of Mathematical Modeling 25 that is perfectly natural. In fact, if any games are being played, they are between the soldiers and the commanders on each side of the front line, with many of the soldiers avoiding combat and the commanders trying to enforce it. If the explanation of cooperative behavior in the trenches is indeed so obvious, then how could a researcher as clever and well read as Axelrod get it so wrong (and how could his book have been so widely praised)?
The remaining parts of this book focus to different extents on the qualitative sources underlying our social science data and the models and methods used to understand them. Exercises for Part I 1.. Drawing from an example in a recent news article, show how you could have set up models to forecast this outcome one day, three weeks, two months, and two years before it occurred. Describe the data sources you would need to make these forecasts. What problems might you encounter in setting up these forecasts?
How to Think Straight about Psychology (Stanovich 2004) discusses the successes and failures of different schools of psychological thought. I also recommend Judgment under Uncertainty (edited by Kahneman, Slovic, and Tversky 1982), which has some great examples of interdisciplinary work, centered on cognitive psychology but with implications for other social sciences. On Statistical Methods in the Social Sciences The Statistical Sleuth by Ramsey and Schafer (2001) is a good place to start learning about data analysis.