A tale of two cultures: qualitative and quantitative research in the social sciences

1. Introduction

2. Mathematical prelude: a selective introduction to logic and set theory for social scientists

I. Causal Models and Inference: 3. Causes-of-effects versus effects-of-causes; 4. Causal models; 5. Asymmetry; 6. Hume's two definitions of cause

II. Within-Case Analysis: 7. Within-case versus cross-case causal analysis; 8. Causal mechanisms and process tracing; 9. Counterfactuals

III. Concepts and Measurement: 10. Concepts: definitions, indicators, and error; 11. Meaning and measurement; 12.

Semantics, statistics, and data transformations; 13. Conceptual opposites and typologies

IV. Research Design and Generalization: 14. Case selection and hypothesis testing; 15. Generalizations; 16. Scope; 17. Conclusion.