Methods of data collection & related concepts (sampling, coverage, non-response). Main survey techniques (face-to-face, telephone, on-line survey). Characteristics of the questionnaire and methods for its construction.
Statistic tools for descriptive data analysis (frequency tables, position and variability measures).
Basic concepts of text analysis. Basic techniques (co-occurrences, cluster analysis, link analysis) and graphical representations (wordclouds, crosstabulations, proximity plot)
Chapters from the International Handbook of Survey Methodology, by Leeuw, Hox, Dillman; other lectures and material. The teaching material will be available on Moodle.
Obiettivi Formativi
To be able to develop a sample survey and to implement a questionnaire for data collection.
To be able to provide a synthetic description of data through qualitative and quantitative analyses, by correctly interpreting the studied phenomena.
Prerequisiti
None
Metodi Didattici
Face-to-face lectures
Altre Informazioni
None
Modalità di verifica apprendimento
Written exam: 10 questions (open questions or brief exercises), which require a brief answer concerning the arguments of the course, or the construction or interpretation of graphs and tables. Each question scores 3 points. Duration: 1 h 15’
Programma del corso
In the first part of the course, the knowledge on the methods and statistical tools for data collection will be provided, focusing on the basic concepts (sampling, coverage, representativeness, non-response) and on the phases of the survey. The main survey techniques will be analyzed (face-to-face interview, telephone interview, on-line survey), their main characteristics and peculiarities, and the differences between them. Finally, the characteristics of the questionnaire will be examined, considering the methods for its construction.
The second part of the course will provide the tools for the descriptive analysis of data (frequency tables, position and variability measures) and for their graphical representation. Class exercises will also be held.
In the last part of the course, after examining the definitions, the basic concepts and the potential of the textual analysis, the different phases necessary for the development of this type of analysis will be reviewed. We will then focus on the basic techniques of textual data analysis (frequency analysis, co-occurrences, cluster analysis, link analysis) and on graphical representations (word clouds, crosstabulations, proximity plots). Examples will be presented and discussed.