The Fundamentals of Political Science Research provides an introduction to the scientific study of politics. It offers the basic tools necessary for readers to become both critical consumers and beginning producers of scientific research on politics. Professors Kellstedt and Whitten present an integrated approach to research design and empirical analyses in which researchers can develop and test causal theories. The authors use examples from political science research that students will find interesting and inspiring, and that will help them understand key concepts. The book makes technical material accessible to students who might otherwise be intimidated by mathematical examples. This revised second edition refines discussions from the first edition, with a new chapter on how to write an original research project. The second edition also contains an additional forty exercises and adds definitions for terms discussed in each chapter.
Paul M. Kellstedt is an Associate Professor of Political Science at Texas A&M University. He is the author of The Mass Media and the Dynamics of Racial Attitudes (Cambridge University Press, 2003), winner of Harvard University's John F. Kennedy School of Government's 2004 Goldsmith Book Prize. In addition, he has published numerous articles in a variety of leading journals. Currently, he is on the editorial boards of the journals Political Behavior and Political Science Research and Methods. Guy D. Whitten is an Associate Professor of Political Science, as well as the Director of the European Union Center, at Texas A&M University. He has published a variety of articles in leading peer-reviewed journals, including the American Journal of Political Science, the British Journal of Political Science, and Electoral Studies. He is on the editorial boards of the journals Electoral Studies and Political Science Research and Methods.
1. The scientific study of politics; 2. The art of theory building; 3. Evaluating causal relationships; 4. Research design; 5. Getting to know your data: evaluating measurement and variations; 6. Probability and statistical influence; 7. Bivariate hypothesis testing; 8. Bivariate regression models; 9. Multiple regression: the basics; 10. Multiple regression model specification; 11. Limited dependent variables and time series data; 12. Putting it all together to produce effective research.
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- ID: 9781107621664
2nd Revised edition
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