First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Human and Social Sciences and Cultural Heritage
Course unit
LE01122424, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2019/20

Information on the course unit
Degree course First cycle degree in
IF0313, Degree course structure A.Y. 2015/16, A.Y. 2019/20
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Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination TECHNIQUES OF SOCIAL INQUIRY
Department of reference Department of Philosophy, Sociology, Education and Applied Psychology
Mandatory attendance No
Language of instruction Italian
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit is available ONLY for students enrolled in COMMUNICATION

Teacher in charge ARJUNA TUZZI SECS-S/05

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses SECS-S/05 Social Statistics 9.0

Course unit organization
Period Second semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
Hours of
Individual study
Laboratory 3.0 21 54.0 No turn
Lecture 6.0 42 108.0 No turn

Start of activities 02/03/2020
End of activities 12/06/2020
Show course schedule 2019/20 Reg.2015 course timetable

Examination board
Board From To Members of the board
8 a.a.2019-2020 01/10/2019 30/11/2020 TUZZI ARJUNA (Presidente)
BELOTTI VALERIO (Membro Effettivo)
7 commissione a.a.2018-2019 01/10/2018 30/11/2019 TUZZI ARJUNA (Presidente)
BELOTTI VALERIO (Membro Effettivo)

Prerequisites: The course does not require prerequisites
Target skills and knowledge: The course aims at introducing students to:
- some basic methods for social research, and
- some basic techniques for the statistical analysis of data
with particular reference to the organization of surveys and analysis of data matrices "case-variable".
At the end of the course the students should be able to:
- read the results of a survey;
- manage small data sets.
Moreover, the course is aimed at training students to:
- recognize limitations and advantages of the different approaches to social research;
- read critically the results of a survey;
- teamworking.
Examination methods: Two written examinations:
(for both attending and non-attending students)
1) a written test based on open-ended questions (90', maximum score 20 points);
2) a technical report based on statistical analyses of a data matrix (4h, maximum score 10 points).
The questions of the written test (1) ask to describe the subject matters of the course (for example: "Explain the relevance of language in writing questions for a questionnaire" or "Give a definition of ...") and to solve simple exercises (for example: "Calculate the mean value and the standard deviation...".
The drafting of the report (2) envisages the analysis of a data matrixs (by means of Excel) and the discussion of achieved results. The report is a texts of minimum 4,000 characters in length that includes graphs and tables.
The final grade is the sum of the grades of the written examinations (written test and technical report).
Assessment criteria: For the evaluation of the written exams :
1) knowledge of the topics covered in the course,
2) understanding of the concepts, methods and techniques covered in the course,
3) ability to apply methods and techniques autonomously to a practical case (a large dataset or a small set of data),
4) awarness to critically read the results of a statistical analysis,
will be considered.
Course unit contents: In brief:
Methods and techniques for social research
Organization of a survey
Survey tools (questionnaire, interview, focus group)
Administration of a questionnaire
Construction of a data matrix
Data analysis
Analysis of textual data

1. Methods for social research: an introduction
2. Knowledge objectives
3. Operationalization of concepts
4. Setting up a research project
5. Phases and tools of a survey
6. Research sources
7. Interview and questionnaire
8. Question wording
9. Qualitative methods
10. In-depth interview
11. Ethnographic methods, focus group, Delphi, NGT (short notes)
12. Data analysis: an introduction
13. Categorical variables
14. Ordinal variables
15. Quantitative variables
16. Sampling
17. Contingency tables and bivariate analysis
18. Statistical information systems (short notes)
19. Social indicators (short notes)
20. Content analysis and statistical analysis of textual data (short notes)
Planned learning activities and teaching methods: Lectures.
Tutorials for conducting a survey: students will work in small groups to design a small survey, to draft a questionnaire, to administer the questionnaire to a small sample of respondents and to analyze collected data.
Additional notes about suggested reading: During the course the teacher will provide students with further study materials (slides, links, etc.) and share them on "moodle" platform.
The first chapters of the book "Introduzione alla statistica" (edited by Pelosi et al.) are recommended for non-attending students (Introduction + Chapters 1-4). The same book is also available in English "Elementary Statistics: From Discovery to Decision" (Pelosi and Sandifer, 2004, Wiley).
Textbooks (and optional supplementary readings)
  • Lorenzo Bernardi, Percorsi di ricerca sociale. Roma: Carocci, 2005. Cerca nel catalogo
  • Marilyn K. Pelosi, Theresa M. Sandifer, Paola Cerchiello, Paolo Giudici, Introduzione alla statistica. Milano: Mcgraw-hill, 2009. Volume facoltativo per gli studenti frequentanti. Di questo volume vengono utilizzati solo alcuni capitoli (introduzione e capp. 1-4) Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Laboratory
  • Problem based learning
  • Case study
  • Interactive lecturing
  • Working in group
  • Active quizzes for Concept Verification Tests and class discussions
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)