This book provides the first systematic guide to designing multi-method research, considering a wide range of statistical and qualitative tools.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Jason Seawright is an Associate Professor in the Department of Political Science at Northwestern University. He has written extensively about multi-method research and has published in journals including Political Analysis, Political Research Quarterly, Sociological Methodology, and Sociological Methods and Research. He was the author or co-author of several chapters in Rethinking Social Inquiry: Diverse Tools, Shared Standards, edited by Henry E. Brady and David Collier. He has taught courses on multi-method research design at institutes worldwide.
Inhaltsangabe
1. Integrative multi-method research 2. Causation as a shared standard 3. Using case studies to test and define regressions 4. Case selection after regression 5. Combining case studies and matching 6. Combining case studies and natural experiments 7. Embedding case studies within experiments 8. Multi-method case studies Appendix A. Qualitative causal models and the potential outcomes framework Bibliography.
1. Integrative multi-method research 2. Causation as a shared standard 3. Using case studies to test and define regressions 4. Case selection after regression 5. Combining case studies and matching 6. Combining case studies and natural experiments 7. Embedding case studies within experiments 8. Multi-method case studies Appendix A. Qualitative causal models and the potential outcomes framework Bibliography.
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