
Course unit
TECHNIQUES OF SOCIAL INQUIRY
LE01122424, A.A. 2018/19
Information concerning the students who enrolled in A.Y. 2018/19
ECTS: details
Type 
ScientificDisciplinary Sector 
Credits allocated 
Core courses 
SECSS/05 
Social Statistics 
9.0 
Course unit organization
Period 
Second semester 
Year 
1st Year 
Teaching method 
frontal 
Type of hours 
Credits 
Teaching hours 
Hours of Individual study 
Shifts 
Laboratory 
3.0 
21 
54.0 
No turn 
Lecture 
6.0 
42 
108.0 
No turn 
Examination board
Board 
From 
To 
Members of the board 
8 commissione a.a.20192020 
01/10/2019 
30/11/2020 
TUZZI
ARJUNA
(Presidente)
BELOTTI
VALERIO
(Membro Effettivo)
GIRARDI
DAVIDE
(Supplente)
SBALCHIERO
STEFANO
(Supplente)

7 commissione a.a.20182019 
01/10/2018 
30/11/2019 
TUZZI
ARJUNA
(Presidente)
BELOTTI
VALERIO
(Membro Effettivo)
GIRARDI
DAVIDE
(Supplente)
SBALCHIERO
STEFANO
(Supplente)

6 2017 
01/10/2017 
30/11/2018 
TUZZI
ARJUNA
(Presidente)
BELOTTI
VALERIO
(Membro Effettivo)
GIRARDI
DAVIDE
(Supplente)
SBALCHIERO
STEFANO
(Supplente)

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 "casevariable".
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 nonattending students)
1) a written test based on openended 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
Details:
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. Indepth 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 nonattending students (Introduction + Chapters 14). 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.

Marilyn K. Pelosi, Theresa M. Sandifer, Paola Cerchiello, Paolo Giudici, Introduzione alla statistica. Milano: Mcgrawhill, 2009. Volume facoltativo per gli studenti frequentanti. Di questo volume vengono utilizzati solo alcuni capitoli (introduzione e capp. 14)

Innovative teaching methods: Teaching and learning strategies
 Lecturing
 Laboratory
 Problem based learning
 Working in group
 Problem solving
 Loading of files and pages (web pages, Moodle, ...)
Innovative teaching methods: Software or applications used
 Moodle (files, quizzes, workshops, ...)

