Methodologies for the Social Sciences II: Quantitative (advanced course)

Periodo di svolgimento
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Ore del corso
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Compulsory for the 1st year students of the PhD Programme in "Political Science and Sociology"

Compulsory for the 1st year students of the PhD Programme in "Transnational Governance"

Optional for the 2nd, 3rd and 4th year students of the PhD Programmes in "Political Science and Sociology" and in "Transnational Governance"

Optional for the 4th and 5th year students of the MA Programme in "Political and Social Sciences"


Compulsory - if not attending the course 'Methodologies for the Social Sciences II: quantitative'

Overview of the course: The course will cover some of the most popular methodologies for the quantitative analysis of social and political phenomena using observational data. More specifically, it will consist in several lab sessions using the software STATA, one of the most powerful statistical software that allows conducting quantitative analyses and that is very popular among political and social scientists. The classes will be applied, and students will use the software from the very beginning.


Special emphasis will be placed during the sessions on the empirical work related to the statistical elaboration of students’ PhD/MA thesis. Easy-to-follow Stata do-files will be provided, as will practice datasets, although students are very welcome to use their own data (i.e. surveys and country level data).


The course will offer participants applied perspectives on topics that will be previously defined by students’ research interests. Broadly speaking, it will be focused on the analysis of the relationships between independent and dependent variables, the presentation of the results (also graphically) and their interpretation.


Course format: The course is articulated into seven lab sessions according to the timetable provided below. This short course will offer participants an applied perspective. Students are required to present their research goals, describing the research question and the research design. Lab sessions will show the implementation of the proper methodologies using the software Stata for the development of students’ research project.

Examination procedure.

50% Class participation

50% Oral presentation of students’ research project: quantitative methodological aspects, potential data and modelling (Italian or English)

Obiettivi formativi

By the end of the course, students will be able to develop autonomously the descriptive and, partly, the analytical sections of their thesis.