Statistical Modeling and Inference for Social Science

ISBN-10: 1107003148
ISBN-13: 9781107003149
Edition: 2014
Authors: Sean Gailmard
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Description: This book provides an introduction to probability theory, statistical inference, and statistical modeling for social science researchers and Ph.D. students. Focusing on the connection between statistical procedures and social science theory, Sean  More...

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Book details

List price: $97.95
Copyright year: 2014
Publisher: Cambridge University Press
Publication date: 6/9/2014
Binding: Hardcover
Pages: 388
Size: 6.25" wide x 9.00" long x 1.00" tall
Weight: 1.650

This book provides an introduction to probability theory, statistical inference, and statistical modeling for social science researchers and Ph.D. students. Focusing on the connection between statistical procedures and social science theory, Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists. Gailmard explains how social scientists express and test substantive theoretical arguments in various models. Chapter exercises require application of concepts to actual data and extend students' grasp of core theoretical concepts. Students will complete the book with the ability to read and critique statistical applications in their fields of interest.

Sean Gailmardis the Judith E. Gruber Associate Professor in the Travers Department of Political Science at the University of California, Berkeley.

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