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Statistical Modeling and Inference for Social Science (Analytical Methods for Social Research) - Tapa dura

Libro 7 de 15: Analytical Methods for Social Research

Gailmard, Sean

 
9781107003149: Statistical Modeling and Inference for Social Science (Analytical Methods for Social Research)
Tapa dura
ISBN 10: 1107003148 ISBN 13: 9781107003149
Editorial: Cambridge University Press, 2014

Sinopsis

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes 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 - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of interest.

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Acerca del autor

Sean Gailmard is Associate Professor of Political Science at the University of California, Berkeley. Formerly an Assistant Professor at Northwestern University and at the University of Chicago, Gailmard earned his PhD in Social Science (economics and political science) from the California Institute of Technology. He is the author of Learning While Governing: Institutions and Accountability in the Executive Branch (2013), winner of the 2013 American Political Science Association's William H. Riker Prize for best book on political economy. His articles have been published in a variety of journals, including American Political Science Review, American Journal of Political Science and Journal of Politics. He currently serves as an associate editor for the Journal of Experimental Political Science and on the editorial boards for Political Science Research and Methods and Journal of Public Policy.

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Editorial
Cambridge University Press
Año de publicación
2014
Idioma
Inglés
ISBN 10 
1107003148
ISBN 13 
9781107003149
Encuadernación
Tapa dura
Número de páginas
392
Contacto del fabricante
Cambridge University Press
https://www.cambridge.org/

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Pomezia
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