- Docente: Nicola De Luigi
- Credits: 4
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Politics Administration and Organization (cod. 9085)
Learning outcomes
At the end of the seminar, the student has a basic knowledge of univariate and bivariate statistical analysis and develops the skills to use statistical software. In particular, the student will be able to: - set the collection of data through questionnaires; - Perform simple analyses on survey data using STATA; - present data in graphs and tables; - discuss the results of those analyses.
Course contents
In any field of research and in many professions it is increasingly useful to know how to analyse and interpret statistical data on the evolution of social phenomena, be it data on the economy, consumption levels, electoral participation, immigration, public spending, the guaranteed freedom or conflict registered in certain segments of the territory of a single country or in different states, or individual opinions measured through surveys. Sometimes the data are used to describe the social phenomena in question, in other cases to understand how two or more phenomena are related to each other. This course offers a methodological introduction and a practical guide to the use of one of the most popular software that allow to perform basic quantitative analysis (frequencies, cross tabulations) and visualize them through appropriate graphical tools.
Readings/Bibliography
Piergiorgio Corbetta, La ricerca sociale: metodologia e tecniche. IV. L'analisi dei dati, Il Mulino, 2015.
Teaching methods
Lectures. Practical exercises on data analysis guided by the teacher.
Assessment methods
Assessment will take place both through a practical exercise at the end of the course and through activities and exercises throughout the course. The purpose of the practical exercise is to assess that the student has acquired the ability to carry out basic statistical analyses (monovariate and bivariate) on survey data and to present the results of these analyses through graphs and tables in connection with the acquired methodological knowledge.
Teaching tools
Stata and PowerPoint presentations.
Office hours
See the website of Nicola De Luigi