This book discusses and compares four different approaches towards analyzing panel data in QCA. It introduces QCA as a research approach, then discusses the most important assumptions, and steps like set-calibration and theory-testing, and demonstrates each of the four panel data approaches.
This book discusses and compares four different approaches towards analyzing panel data in QCA. It introduces QCA as a research approach, then discusses the most important assumptions, and steps like set-calibration and theory-testing, and demonstrates each of the four panel data approaches.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Preya Bhattacharya is an Assistant Professor in Political Science, at the Dr. Mack Henry Jones Department of Political Science, Clark Atlanta University. She teaches courses on International Relations, Comparative Politics, International Political Economy, and Quantitative Methods, and her research interests are former Yugoslavian countries, European Union, Microfinance, Economic Participation of Women, and Post-Conflict Economic Development.
Inhaltsangabe
1. Introduction 2. Assumptions and Steps of a QCA Research Process 3. Panel data Qualitative Comparative Analysis 4. Data Calibration 5. Applying the cluster() function to analyze panel data 6. Establish separate QCA models for different time points 7. Two-Step Panel Data QCA 8. Set-Theoretic Approach Towards Studying Change 9. Conclusion
1. Introduction 2. Assumptions and Steps of a QCA Research Process 3. Panel data Qualitative Comparative Analysis 4. Data Calibration 5. Applying the cluster() function to analyze panel data 6. Establish separate QCA models for different time points 7. Two-Step Panel Data QCA 8. Set-Theoretic Approach Towards Studying Change 9. Conclusion
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