- Docente: Giorgio Piccitto
- Credits: 4
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Politics Administration and Organization (cod. 9085)
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from Sep 27, 2023 to Dec 13, 2023
Learning outcomes
The workshop aims to equip students with soft skills that can prove useful in their future careers. The goal is to develop students' skills through hands-on exercises. The laboratory intends to make students acquire the methodological and technical-IT knowledge useful for the preparation of data for analysis (construction of data matrices) and for the application, through the use of statistical packages such as SPSS and STATA, of analysis techniques basic (monovariate analysis and evaluation of the relationships between qualitative and quantitative variables by means of the production of contingency tables and the corresponding measures of significance and association) applied to data obtained from national and international surveys.
Course contents
The aim of the course is to introduce students to the use of the statistical software Stata. Students will learn the main features of the software, and the basic tools to manipulate data and variables and to perform descriptive univariate analysis. Basic tools for Stata graphs will be taught. The course is considered as an introduction to the Statistics for social sciences course.
Short description
Presentation of Stata and its structure. Open, import and save files. Data description. Case and variables manipulation. Managing data formats (numeric, string, etc.). Descriptive univariate analysis and graphs. Sorting, merging and appending files.
Readings/Bibliography
The reference textbook will be:
Hamilton, L.C. (2012). Stats with Stata: Release 12. Cengage Learning.
The detailed program will be discussed from time to time with the students, in order to calibrate it with their needs.
Teaching methods
The course is 20-hour long. Each class will be divided in two parts: a) guided examples on Stata that focus on the topic of the day; b) students’ individual practice on the software.
Assessment methods
This course do not have a final mark, but only passed\not passed.
In order to pass the course, the students will be required to complete weekly assignments focusing on the topics of each class, and to actively participate to the lessons.
Teaching tools
Platform virtuale.unibo.it
Software: StataOffice hours
See the website of Giorgio Piccitto