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 in Scienze del servizio sociale - 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. 2017/2018
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3° Year activated in the A.Y. 2018/2019
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A course to be chosen among the following| Modules | Credits | TAF | SSD |
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A course to be chosen among the followingLegend | 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.
Statistical methods for the social sciences (2016/2017)
Teaching code
4S02345
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/05 - SOCIAL STATISTICS
Period
Sem. IIB dal Apr 24, 2017 al Jun 10, 2017.
Learning outcomes
The course aims to familiarize students with the principles and logic of scientific method, by introducing some basic concepts and tools in empirical research. Course objective is to provide a statistical vision of reality: starting with the observed variability of a phenomena, it develops a reflection on the variability and errors inherent to the process of observation and measurement, in order to understand how all the empirical knowledge is actually of sampling nature. It takes place as well as mindset and statistical tools are needed to address the study of any phenomenon.
The first part of the course is structured around the concept of statistical distribution, and describes the methods for the analysis and synthesis of the information collected. In the second part of the course deals with the analysis of dependence between two variables, and discusses the concept of causality.
Program
- The principles of scientific method and the validity of a research. By formulating the research problem to hypothesis testing. Observation and measurement processes. Types of variables and measurement scales. The concept of distribution.
- Study of the distribution of a variable and summaries of information. Frequency tables and graphical representations. Grouping data into classes. Indices of centrality: the position and algebraic averages. Indices of variability.
- Transformations of variables. Standardization. Synthetic compound indexes.
- The normal distribution. Properties and applications.
- Analysis of the dependence between two variables. Frequency of double-entry tables. Conditional frequencies. Independence and association. Indices of association. Dependence on average. Correlation. The linear regression. The method of least squares. Interpretation and evaluation of the model.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Capiluppi C. | Appunti di Statistica Sociale | Aracne | 2012 | 978-88-548-5894-7 | |
| Borra S., Di Ciaccio A. | Statistica, metodologie per le scienze economiche e sociali | McGraw-Hill | 2004 | 8838661626 |
Examination Methods
Written exam. (Computerized test) + Oral exam.
Reference books
- Borra S., Di Ciaccio A. (2004) Statistica: metodologie per le scienze economiche e sociali, McGraw-Hill.
- Capiluppi C. (2012) Appunti di Statistica Sociale, Aracne.
- *Spiegel M.R. (1994) Statistica, Collana Schaum's, McGraw-Hill
(* Exercises book. Out of print).
