Quantifying the Qualitative presents a systematic approach to comparative case analysis based on insights from information theory. This new method, which requires minimal quantitative skills, helps students, policymakers, professionals, and scholars learn more from comparative cases. The approach avoids the limitations of traditional statistics in the small-n context and allows analysts to systematically assess and compare the impact of a set of factors on case outcomes with easy-to-use analytics. Rigorous tools reduce bias, improve the knowledge gained from case studies, and provide straightforward metrics for effectively communicating results to a range of readers and leaders.
CHAPTER 1: Enhancing Small-n Analysis: Information Theory and the Method of Structured-Focused Comparison
CHAPTER 2: The Information Revolution
CHAPTER 3: Case Selection
CHAPTER 4: The Information Method—If You Can Count, You Can Do It
CHAPTER 5: Information Metrics at Work—Three Examples
CHAPTER 6: Sensitivity Analysis—Entropy, Inference, and Error
CHAPTER 7: The QCA Connection
CHAPTER 8: Conclusion
APPENDIX A: Using Excel for Information Metrics
APPENDIX B: Using R for Information Metrics
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