Statistical Modeling and Inference for Social Science

Nonfiction, Reference & Language, Reference, Social & Cultural Studies, Political Science, Social Science
Cover of the book Statistical Modeling and Inference for Social Science by Sean Gailmard, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Sean Gailmard ISBN: 9781139984829
Publisher: Cambridge University Press Publication: June 9, 2014
Imprint: Cambridge University Press Language: English
Author: Sean Gailmard
ISBN: 9781139984829
Publisher: Cambridge University Press
Publication: June 9, 2014
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Cambridge University Press

Cover of the book Rescuing Human Rights by Sean Gailmard
Cover of the book Water, Life and Civilisation by Sean Gailmard
Cover of the book Climate, Affluence, and Culture by Sean Gailmard
Cover of the book Locke on Toleration by Sean Gailmard
Cover of the book The Cambridge Companion to Darwin by Sean Gailmard
Cover of the book The Cristero Rebellion by Sean Gailmard
Cover of the book Confidence, Likelihood, Probability by Sean Gailmard
Cover of the book The Cambridge Companion to American Islam by Sean Gailmard
Cover of the book Petrology of Sedimentary Rocks by Sean Gailmard
Cover of the book Evolution of Sleep by Sean Gailmard
Cover of the book Practising Self-Government by Sean Gailmard
Cover of the book Religion-State Relations in the United States and Germany by Sean Gailmard
Cover of the book The Viennese Students of Civilization by Sean Gailmard
Cover of the book Thermodynamics, Kinetics, and Microphysics of Clouds by Sean Gailmard
Cover of the book The Fourteenth Amendment and the Privileges and Immunities of American Citizenship by Sean Gailmard
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy