Rebecca B. Morton and Kenneth C. Williams discuss how experiments and experimental reasoning with observational data help researchers determine causality.
Rebecca B. Morton and Kenneth C. Williams discuss how experiments and experimental reasoning with observational data help researchers determine causality.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Rebecca B. Morton is a Professor in the Wilf Family Department of Politics at New York University. She received her Ph.D. from Tulane University and has held academic positions at Tulane, Texas A & M University, University of Iowa, University of California San Diego, and University of Houston. She was a Visiting Scholar at the Center for the Study of Democratic Politics at the Woodrow Wilson School at Princeton University, the Russell Sage Foundation, and the Hanse-Wissenschaftkolleg in Delmenhorst, Germany. Her book Learning by Voting: Sequential Choices in Presidential Primaries and Other Elections (with Kenneth Williams, 2001) addresses the effects of voting sequentially, as in presidential primaries in the United States. Her more recent book, Analyzing Elections (2006), is a comprehensive study of the American electoral process. Morton also considered the complexity of empirical evaluation of formal models in her book Methods and Models: A Guide to the Empirical Analysis of Formal Models in Political Science (Cambridge University Press, 1999). Her research has appeared in the American Economic Review, the American Journal of Political Science, the American Political Science Review, the Journal of Law and Economics, the Review of Economics and Statistics, and the Review of Economic Studies.
Inhaltsangabe
Part I. Introduction: 1. The advent of experimental political science Part II. Experimental Reasoning about Causality: 2. Experiments and causal relations 3. The causal inference problem and the Rubin causal model 4. Controlling observables and unobservables 5. Randomization and pseudo-randomization 6. Formal theory and causality Part III. What Makes a Good Experiment?: 7. Validity and experimental manipulations 8. Location, artificiality, and related design issues 9. Choosing subjects 10. Subjects' motivations 11. History of codes of ethics and human subjects research 12. Ethical decision making and political science experiments 13. Deception in experiments 14. The future of experimental political science 15. Appendix: the experimentalist's to do list.
Part I. Introduction: 1. The advent of experimental political science Part II. Experimental Reasoning about Causality: 2. Experiments and causal relations 3. The causal inference problem and the Rubin causal model 4. Controlling observables and unobservables 5. Randomization and pseudo-randomization 6. Formal theory and causality Part III. What Makes a Good Experiment?: 7. Validity and experimental manipulations 8. Location, artificiality, and related design issues 9. Choosing subjects 10. Subjects' motivations 11. History of codes of ethics and human subjects research 12. Ethical decision making and political science experiments 13. Deception in experiments 14. The future of experimental political science 15. Appendix: the experimentalist's to do list.
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