Communication, technologies and digital culture

The course (6 credits) intends to train students in data analysis and transfer technical-practical skills in terms of: language of variables; design, control and inspection of a dataset; preparation of an analysis plan; univariate and bivariate analysis of primary and secondary data (from the precise description of a phenomenon, to its synthetic representation, to the control of the relationships between variables); construction of empirical indices; reporting strategies. The intent is to build, in a participatory and operational way - also with examples taken from the world of communication - a toolbox, useful for the observation and interpretation of a vast range of social, economic and cultural phenomena, as well as for the targeted dissemination of research results. The lectures will alternate with laboratory meetings and exercises, aimed at learning the functionality of specific tools for statistical data analysis and data visualization. The first part of the course (24 hours) will provide students with the necessary skills to navigate among the different types of variables, to understand the process of constructing empirical data and to construct, organize, synthesize and present data. The second part of the course aims to exemplify quantitative research strategies and data analysis plans through the illustration of studies and empirical research in the field of communication. The aim is to transfer specific skills: 1. Ability to reflect on the relationship between the methodological plan of social research and the analysis of data conducted in the matrix; 2. Identify and query data sources (open-data archives); 3. Draw up an analysis plan and implement appropriate analysis techniques, 4. Reflect on the form of the data, which is constructed from the decisions made by the researcher before and during the data analysis activity.

basic methodological knowledge

Fasanella, A., Mauceri, S., Nobile, S. (2023). Metodologia della ricerca sociale. Milano: FrancoAngeli. Since chap 12 to 16 Suggested chapter: Martire F., Parra Saiani P., Cataldi S. (2023) La ricerca sociale e le sue pratiche. Roma: Carocci. Chap 15 Supplement info will be promptly communicated before the start of the second semester Additional teaching materials will be published on the online pages of the teaching

Written exam with open questions on the entire course program

The course (6 cfu) aims to train students in the field of data analysis and transfer technical and practical skills in terms of: language of variables; design, control and inspection of a dataset; preparation of an analysis plan; monovariate and bivariate analysis of primary and secondary data (from the precise description of a phenomenon, to its synthetic representation, to the control of relationships between variables); construction of empirical indices; reporting strategies. The aim is to construct, in a participatory and operational manner - also with examples drawn from the world of communication - a toolbox, useful for the observation and interpretation of a wide range of social, economic and cultural phenomena, as well as for the targeted dissemination of research results. Lectures will alternate with workshops and exercises, aimed at learning the functions of specific tools for statistical data analysis and data visualization. The first part of the course (24 hours) will provide students with the necessary skills to navigate between different types of variables, to understand the process of constructing empirical data and to construct, organize, synthesize and present data. The second part of the course aims to address the analysis of data between two variables, a basic operation for the social researcher adopting quantitative research strategies. The relationship between two categorical variables, between two cardinal variables, and between a categorical variable and a cardinal variable will be addressed. The aim is to transfer specific skills: 1. To be able to reflect on the relationship between the methodological plan of social research and the data analysis carried out in the matrix; 2. To identify and interrogate data sources (open-data archives); 3. To draw up an analysis plan and implement appropriate analysis techniques, 4. To reflect on the form of the data, which is constructed by the decisions taken by the researcher before and during the data analysis activity.

Basic methodological skills

Fasanella, A., Mauceri, S., Nobile, S. (2024). Metodologia della ricerca sociale. Milano: FrancoAngeli (Chapters 12-15).

Due to the applied nature of the course, classroom attendance is recommended.

For attending students: - In progress evaluation of the skills, on the basis of individual and group exercises. - Intermediate written tests. For non-attending students: - Oral examination

Albano, R., & Testa, S. (2022). Introduzione alla statistica per la ricerca sociale. Roma: Carocci. Blalock, H. (1969). Statistica per la ricerca sociale. Bologna: Il Mulino. Bocci, L., & Mingo, I. (2020). Statistiche: tra produzione e fruizione. Fonti e strumenti per l’analisi dei dati. Roma: Edizioni Nuova Cultura. Corbetta, P. (2014). Metodologia e tecniche della ricerca sociale. Bologna: Il Mulino. Di Franco, G., & Marradi, A. (2020). L'analisi bivariata. Milano: FrancoAngeli. Huff, D. (1954). Mentire con le statistiche. Monti&Ambrosini: Pescara. Iezzi, F. D. (2014). Statistica per le scienze sociali. Dalla progettazione dell'indagine all'analisi dei dati. Roma: Carocci. Lazarsfeld, P. F. (1965). Dai concetti agli indici empirici. In R. Boudon, & P. F. Lazarsfeld, L'analisi empirica nelle scienze sociali. Volume I: Dai concetti agli indici empirici (p. 41-52). Bologna: Il Mulino. Lazarsfeld, P. F. (1967). Metodologia e ricerca sociologica. Bologna: Il Mulino. Marradi, A. (1993). L'analisi monovariata. Milano: FrancoAngeli. Nobile, S. (2008). La chiusura del cerchio. La costruzione degli indici nella ricerca sociale. Acireale-Roma: Bonanno. Nobile, S. (2022). Introduzione alla metodologia della ricerca sociale. Roma: Carocci.

The course is operational in nature and involves a combination of lectures, laboratory activities focusing on data analysis and presentation of results, individual and group exercises, and critical analysis of research results and instrumentation in use in the scientific community.

The course (6 credits) intends to train students in data analysis and transfer technical-practical skills in terms of: language of variables; design, control and inspection of a dataset; preparation of an analysis plan; univariate and bivariate analysis of primary and secondary data (from the precise description of a phenomenon, to its synthetic representation, to the control of the relationships between variables); construction of empirical indices; reporting strategies. The intent is to build, in a participatory and operational way - also with examples taken from the world of communication - a toolbox, useful for the observation and interpretation of a vast range of social, economic and cultural phenomena, as well as for the targeted dissemination of research results. The lectures will alternate with laboratory meetings and exercises, aimed at learning the functionality of specific tools for statistical data analysis and data visualization. The first part of the course (24 hours) will provide students with the necessary skills to navigate among the different types of variables, to understand the process of constructing empirical data and to construct, organize, synthesize and present data. The second part of the course aims to exemplify quantitative research strategies and data analysis plans through the illustration of studies and empirical research in the field of communication. The aim is to transfer specific skills: 1. Ability to reflect on the relationship between the methodological plan of social research and the analysis of data conducted in the matrix; 2. Identify and query data sources (open-data archives); 3. Draw up an analysis plan and implement appropriate analysis techniques, 4. Reflect on the form of the data, which is constructed from the decisions made by the researcher before and during the data analysis activity.

basic methodological knowledge

Fasanella, A., Mauceri, S., Nobile, S. (2023). Metodologia della ricerca sociale. Milano: FrancoAngeli. Since chap 10 to 14 Suggested chapter: Martire F., Parra Saiani P., Cataldi S. (2023) La ricerca sociale e le sue pratiche. Roma: Carocci. Chap 15 Supplement info will be promptly communicated before the start of the second semester Additional teaching materials will be published on the online pages of the teaching

For non-attending students: Written exam with open questions on the entire course program For those attending: - intermediate test (written with open questions) on the first part of the program - end-of-course test (written with open questions) on the second part of the program For those attending classes, the result will be the average of the two tests; in case of refusal of the result it will be possible to make the exam as a non-attendant