Paul M. Kellstedt, Guy D. Whitten

The Fundamentals of Political Science Research

• Broschiertes Buch

Produktbeschreibung

The third edition of the best-selling 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. The authors present an integrated approach to research design and empirical analyses whereby researchers can develop and test causal theories. They 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 third edition features new 'Your Turn' boxes meant to engage students. The edition also has new sections added throughout the book to enhance the content's clarity and breadth of coverage.

Produktdetails

• Verlag: Cambridge University Press
• 3., überarb. Aufl.
• Seitenzahl: 346
• Erscheinungstermin: 1. März 2019
• Englisch
• Abmessung: 254mm x 178mm x 19mm
• Gewicht: 710g
• ISBN-13: 9781316642672
• ISBN-10: 1316642674
• Artikelnr.: 51477482

Autorenporträt

Paul M. Kellstedt is Professor of Political Science at Texas A & M University. He is the author of The Mass Media and the Dynamics of Racial Attitudes (Cambridge, 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. He is the recently named editor-in-chief of Political Science Research and Methods, the flagship journal of the European Political Science Association.

Inhaltsangabe

Preface to the third edition; Acknowledgements to the third edition; Acknowledgements to the second edition; Acknowledgements to the first edition; 1. The scientific study of politics; 2. The art of theory building; 3. Evaluating causal relationships; 4. Research design; 5. Measuring concepts of interest; 6. Getting to know your data; 7. Probability and statistical inference; 8. Bivariate hypothesis testing; 9. Two-variable regression models; 10. Multiple regression: the basics; 11. Multiple regression model specification; 12. Limited dependent variables and time-series data; Appendix A. Critical values of chi-square; Appendix B. Critical values of t; Appendix C. The link function for binomial logit models; Appendix D. The link function for binomial probit models; Bibliography; Index.