20469 - INSTITUTIONS, GOVERNMENT AND SOCIETY - MODULE I
Course taught in English
The success of a research project also depends on its design. Carefully planning research question(s), type of study, mode of data collections and statistical analysis increases the chances of producing valid empirical research. The course introduces students to the fundamentals of research design in the social sciences. It also offers students the opportunity to design their own research study.
The first part of the course covers causal inference in the social sciences by presenting the main models used in contemporary research. The second part discusses validity of empirical studies and complement the first part of the course with additional methods/topics that are increasingnly popular in empirical research in the social sciences.
Part 1. Main analytical approaches for causal interference:
- The conterfactual model.
- Randomization and its discontents.
- Regression Models.
- Instrumental variables.
- Regression Discontinuity Design.
- Difference-in-Differences Design.
Part 2. Validity and additional topics/methods for empirical research inthe social sciences:
- Survey research and sampling.
- Social Network Analysis.
- Content Analysis.
- Systematic Reviews and meta-analsysis.
- Validity of research designs.
- Understand the logics of causal inference.
- Master different models to test causality.
- Be aware of the main quantitative research methods used in the social sciences.
- Understand strengths and weaknesses (validity) of studies.
- Work in groups to prepare a research proposal.
- Prepare a research proposal.
- Deliver a presentation of a research proposal.
- Face-to-face lectures
- Group assignments
Students work in groups to prepare and present a research proposal.
|Continuous assessment||Partial exams||General exam|
- Final written exam: 70%
- In-class presentation of a team (four students) research proposal: 30%
The final written exam can be taken at any official exam session. The grade of the team research proposal has no expiring date.
- Final written exam: 70%
- Individual research proposal: 30%.
The proposal must be sent to Giovanni Fattore 10 days before the date of the written exam.
In addition to a few chapters of the textbook on causal inference, the teaching materials include a selection of chapters and scholarly articles. They are accessible for students through Bboard. Textbook is:
- S.L. MORGAN, C. WINSHIP, Counterfactual and Causal Inference. Methods and Principles for Social Research, Cambridge University Press, 2016, 2nd edition.