Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in Diritto per le tecnologie e l'innovazione sostenibile - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year activated in the A.Y. 2022/2023
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Data analysis (2022/2023)
Teaching code
4S007370
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
M-PSI/03 - PSYCHOMETRICS
Period
1° periodo lezioni (1B) dal Nov 4, 2022 al Dec 16, 2022.
Learning objectives
The course is included in the learning area New technologies and data management. It aims to provide students with an understanding of statistical concepts and the ability to conduct statistical analyses useful in the professional contexts. Topics include descriptive statistics, inferential statistics and correlational models, and open source statistical packages will be used. Basic skills will be given in designing, executing, analysing, interpreting, and reporting applied research.
By the end of the course students will be able to describe and use some techniques of data collection and data analysis, and report and discuss the results.
At the end of the course, the student will also have acquired the ability to face and solve practical problems typical of the professional context in which he/she will operate, thus orienting his/her competence to the goal of contractual compliance and to the prevention of the judicial conflict. He/she will be able to verify the practical and applicative consequences of the theoretical and regulatory framework and to set, in written and oral form (and also through group working, written exercises and the method of Problem Based Solving - PBS), the solution of concrete issues, using the appropriate and specific disciplinary vocabulary, adopting the correct lines of reasoning and argumentation, and formulating autonomous judgments. The teaching method used is functional to the continuous learning and updating of acquired knowledge.
Prerequisites and basic notions
The knowledge acquired during the first year of the course are prerequisites.
Program
Topics to be covered include learning quantitative and qualitative data collection techniques, analyzing the quality of collected data, using data analysis techniques including analysis of variance, multiple regressions, and path analysis and the drafting of a summary report of the results. Students will use real data and law-related examples will be used to illustrate the concepts and tools being taught. In particular, the knowledge and skills are achieved through the following training activities: 1. From theory to practice: reflections on starting a data analysis process. 2. From field survey to analysis phase: construction and organization of a database or interpretation of an existing database 3. Introduction to the use of the open-source statistical package Jamovi: Jamovi and database management. 4. Analysis of the quality of the collected data. 5. To measure in particular the causal link between the observed variables: simple and multiple regression. 6. Use of more complex models: path analysis 7. Preparation of a report summarizing the results
Bibliography
Didactic methods
The course program will be carried out through lectures, exercises and group work. During the hours of practice the techniques learned during the lessons will be tested through the use of software such as excel and jamovi. The moodle platform will also be used to support the course activities. The program is the same for both attending and non-attending students. The recordings of the lessons will be made available to students who are in particular situations of fragility due to disability or learning disabilities and for those who are in situations of travel limitation due to COVID
Learning assessment procedures
The exam lasts one hour. It takes place in written form and consists of a series of exercises aimed at verifying the knowledge acquired with respect to the topics covered in the course and through the use of excel and jamovi.
Evaluation criteria
The objective of the test is to ascertain the achievement of the expected teaching results, in terms of theoretical and applied knowledge and understanding.
Criteria for the composition of the final grade
The final grade is given by the sum of the scores obtained from the solution of the proposed exercises. For example, 8 questions will be proposed, for each question it is possible to achieve a maximum of 4 points. The score will be awarded not only on the basis of the solution of the question but also on the interpretation of the results of the analysis carried out.
Exam language
italiano
