1. Introduction
- Importance of research design in social sciences
- What it means to answer a question with empirical evidence
- Types of empirical research
2. Research questions
- How to find them and how to work with them
- Description and explanation
- Variables and relationships between variables
3. Types of research design and empirical information
- Case studies, comparative studies, quantitative studies with large samples
- Advantages, disadvantages and complementarities
- Types of empirical evidence
- Unit of analysis and variability
- Measurement problems
4. Causality
- Prediction, correlation, probability
- Causal effects and causal mechanisms
- Mechanism-based explanations
- Levels of explanation: macro, meso, micro
- Directed Acyclic Graphs
5. Problems in causal inference
- Confounding, selection bias, collider bias, etc.
- Problems of internal and external inference
- Ecological fallacy, diffusion, external validity, etc.
6. Research design to identify causal relationships
- Ideal of experimental method in natural sciences
- Counterfactuals and how to approach them
- Advantages and disadvantages of causal inference design
7. Introduction to the logic of causal inference methodology
- Understanding the most common techniques: experiments, difference-in-differences, RDD, matching, etc.