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  1. Courses

DAES06 - METODOLOGIE DELLA RICERCA SOCIALE

courses
ID:
DAES06
Duration (hours):
72
CFU:
9
SSD:
SOCIOLOGIA GENERALE
Located in:
PESCARA
Url:
Course Details:
DATA ANALYTICS FOR ECONOMICS AND SOCIETY/CORSO GENERICO Year: 1
Year:
2025
Course Catalogue:
https://unich.coursecatalogue.cineca.it/af/2025?co...
  • Overview
  • Syllabus
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Overview

Date/time interval

Secondo Semestre (15/02/2026 - 31/05/2026)

Syllabus

Course Objectives

The course provides the fundamental theoretical and methodological tools for designing and conducting qualitative-quantitative social research, with a particular focus on qualitative methods. Students will acquire skills in research design, observation planning, data collection and analysis, as well as in assessing the validity and reliability of the information produced.
By the end of the course, students will be able to:
- Understand the main methodological approaches in social research and their epistemological implications;
- Design a research framework consistent with scientific objectives and research questions;
- Select and apply the most appropriate data collection techniques;
- Analyze and interpret both quantitative and qualitative data;
- Recognize methodological challenges related to the use of new technologies, such as AI and big data, in social research.

Course Prerequisites

Nessuno

Teaching Methods

The course will consist of lectures of a theoretical nature and laboratory activities of an applicative nature. Attendance to teaching activities is not mandatory, however it is strongly recommended.

Assessment Methods

The exam consists of a written test with open and/or closed questions designed to assess the knowledge of the topics covered.

Texts

Kozinets R.V. (2015) Netnography: Redefined, Sage.
Gerring J. (2011) Social Science Methodology: A Unified Framework, Cambridge University Press.
Alvarez M. (2016) Computational Social Science: Discovery and Prediction, Cambridge University Press.

Contents

The course will cover the following topics to achieve the expected learning outcomes: an introduction to the paradigmatic foundations of research in the social sciences, with a particular focus on quantitative (standard) and qualitative (non-standard) approaches. It will also address the key elements and procedures for structuring and defining the research phases, from problem formulation to research design and the selection of techniques for collecting empirical data.
Survey methodologies will be explored in depth, from hypothesis formulation to the definition of key concepts and variables, including questionnaire construction and the assessment of measurement errors, reliability, and validity. Scaling techniques will also be examined, including the Likert scale, Guttman scalogram, semantic differential, and sociometric test, with a focus on the concepts of unidimensionality and multidimensionality.
The course will also cover data collection methods based on naturalistic and participant observation, analyzing their applications and procedures, as well as data collection techniques through interrogation, with particular attention to different types of interviews and their conduction methods.
On the data analysis front, the main methodologies for qualitative data analysis will be explored, including the phenomenological approach, symbolic interactionism, and grounded theory. Additionally, the course will address the most recent developments in social research within the digital space, with a particular focus on digital ethnography and Social Network Analysis.
Finally, the course will introduce new methodological perspectives related to the use of artificial intelligence and big data in social research, highlighting the opportunities provided by automated analysis of textual and visual data, as well as the epistemological and methodological challenges associated with integrating these technologies into empirical research processes.

Course Language

Lessons will be held in Italian but for Erasmus students it will be possible to have some lessons in English with references in English

More information

E-mail: mara.maretti@unich.it
Students will be received after the lectures. Appointments can be fixed by e-mail

Degrees

Degrees

DATA ANALYTICS FOR ECONOMICS AND SOCIETY 
Bachelor’s Degree
3 years
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People

People

MARETTI MARA
AREA MIN. 14 - Scienze politiche e sociali
Settore GSPS-05/A - Sociologia generale
Gruppo 14/GSPS-05 - SOCIOLOGIA GENERALE
Docenti di ruolo di Ia fascia
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