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Fundamentals of Political Science Research

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ISBN-10: 0521697883

ISBN-13: 9780521697880

Edition: 2009

Authors: Paul M. Kellstedt, Guy D. Whitten

List price: $42.00
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Description:

Paul M. Kellstedt's and Guy D. Whitten's The Fundamentals of Political Science Research provides an introduction to the scientific study of politics, supplying students with the basic tools needed to be both critical consumers and producers of scholarly research in political science. The book begins with a discussion of what it means to take a scientific approach to the study of politics. At the core of such an approach is the development of causal theories. Because there is no magic formula by which theories are developed, the authors present a series of strategies and develop an integrated approach to research design and empirical analyses that allows students to determine the…    
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Book details

List price: $42.00
Copyright year: 2009
Publisher: Cambridge University Press
Publication date: 12/15/2008
Binding: Paperback
Pages: 292
Size: 7.00" wide x 10.00" long x 1.00" tall
Weight: 1.562
Language: English

Guy D. Whitten is Associate Professor of Political Science and Director of the European Union Center of Excellence at Texas A&M University. He has published a variety of papers in scholarly journals, including the American Journal of Political Science, the British Journal of Political Science, and Electoral Studies. Professor Whitten serves on the editorial board of Electoral Studies and has previously served on the editorial boards of the Journal of Politics and Political Research Quarterly. He has been a visiting researcher at the University of Amsterdam and is a frequent instructor at the Summer School for Social Science Data Analysis and Collection at the University of Essex in the…    

The scientific study of politics
The art of theory building
Evaluating causal relationships
Research design
Measurement
Descriptive statistics and graphs
Statistical inference
Bivariate hypothesis testing
Bivariate regression models
Multiple regression models I: the basics
Multiple regression models II: crucial extensions
Multiple regression models III: applications
critical values of chi-square
critical values of t
the link function for binomial logit models
the link function for binomial probit models