- Docente: Nicola De Luigi
- Credits: 4
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Sociology and Social Work (cod. 8786)
Learning outcomes
The course provides an introduction to Stata commands to execute basic descriptive statistics and perform multivariate analysis. In particular: students should learn how to find, collect, organize and clean datasets necessary to analyze the topic of their interests; students should be able to conduct basic data analysis; Students should be able to interpret the STATA outputs of various statistical analyses.
Course contents
The course introduces the necessary skills concerning data analysis and interpretation through practical exercises. The activities are organised in three phases. The first phase aims to familiarize students with the Stata interface and with some of the basic commands. In the second phase, students will be introduced to Stata commands to execute basic descriptive statistics, and in the third there are exercises in performing multivariate analysis.
Readings/Bibliography
The teacher will deliver reading and exercises during the classes.
Students without any previous experience in data analysis can read the following texts:
P. Corbetta, La ricerca sociale: metodologia e tecniche II. Le tecniche quantitative, il Mulino, Bologna, 2003 (capitoli I, III, IV e V).
P. Corbetta, La ricerca sociale: metodologia e tecniche IV. L’analisi dei dati, il Mulino, Bologna, 2003.
A useful introduction to STATA is:
D. Vaiuso, Trattamento e analisi dei dati socioeconomici. Il software Stata, Roma, Carocci, 2016.
Teaching methods
Lectures and in-class practical exercises
Assessment methods
The exam consists of a final in-class exercise in which students have to show, using STATA, how to execute data analysis and interpretation.
Teaching tools
Course lessons will be held in the computer lab and students will have access to STATA
Office hours
See the website of Nicola De Luigi