Description - A Quantitative Tour of the Social Sciences by Andrew Gelman
Social scientists become experts in their own disciplines but aren't always familiar with what is going on in neighboring fields. To foster a deeper understanding of the interconnection of the social sciences, economists should know where historical data come from, sociologists should know how to think like economists, political scientists would benefit from understanding how models are tested in psychology, historians should learn how political processes are studied, psychologists should understand sociological theories, and so forth. This overview by prominent social scientists gives an accessible, non-technical sense of how quantitative research is done in different areas. Readers will find out about models and ways of thinking in economics, history, sociology, political science, and psychology, which in turn they can bring back to their own work.
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(228mm x 152mm x 23mm)
Cambridge University Press
Publisher: Cambridge University Press
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Author Biography - Andrew Gelman
Andrew Gelman teaches statistics and political science at Columbia University and was the founding director of the Quantitative Methods in Social Sciences Program, an interdisciplinary program at Columbia University that bridges history, economics, sociology, political science, and statistics. His research has won awards including the Outstanding Statistical Application Award from the American Statistical Association; best paper of the year awards from Political Analysis and the American Political Science Review; and the research software award from the American Political Science Association. He also received the Committee of Presidents of Statistical Societies Award for outstanding contributions by a statistician under 40. His books include Bayesian Data Analysis, Teaching Statistics: A Bag of Tricks, and the forthcoming Applied Regression and Multilevel Models.