B0117 - ANALISI E VISUALIZZAZIONE DATI

Academic Year 2022/2023

  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Media, Public and Corporate Communication (cod. 5703)

    Also valid for Campus of Forli
    Second cycle degree programme (LM) in Mass media and politics (cod. 8051)

Learning outcomes

At the end of the seminar, the student has a basic knowledge of univariate and bivariate statistical analysis and develops the skills to use statistical software. In particular, the student will be able to: - set the collection of data through questionnaires; - Perform simple analyses on survey data using Excel; - present data in graphs and tables; - discuss the results of those analyses.

Course contents

The course provides students with an introduction to the use of the simpler and more widespread data analysis software, Excel, and other tools for the graphical representation of results (for example Datawrapper), applied to typical problems of the social sciences. The learning of the procedures for carrying out the desired analyses cannot be separated from a learning of the basic methodological tools necessary on the one hand to the selection of the appropriate techniques to answer the research question, on the other hand the interpretation of the results obtained. Part of the lessons will therefore be dedicated to building these logical assumptions of the analysis. Without them, the software and statistical tools, however sophisticated, risk leading to unsatisfactory or totally misleading answers.

The course is aimed primarily at beginners and does not require preliminary knowledge. Students who are already familiar with the use of spreadsheets may find other labs more useful.

Readings/Bibliography

Piergiorgio Corbetta, La ricerca sociale: metodologia e tecniche. IV. L'analisi dei dati, Il Mulino, 2015.

The necessary chapters and sections will be communicated at the beginning of the course.

Teaching methods

Lectures; lab exercise sessions on the use of statistical softwares.

Assessment methods

Participation in class is compulsory and attendance will be recorded. Presence in at least 70% of classes is required. During the last class, students will take a written exam aimed at evaluating their knowledge of basic notions of methodology, their ability to perform simple statistical analyses of survey data using Excel and to present the results of those analyses in graphs and tables.

Teaching tools

Video projector, Pc, statistical software, virtuale.unibo.it platform.

Office hours

See the website of Filippo Tronconi