03383 - Social Statistics

Course Unit Page

  • Teacher Valerio Vanelli

  • Credits 10

  • SSD SECS-S/05

  • Teaching Mode Traditional lectures

  • Language Italian

  • Campus of Bologna

  • Degree Programme First cycle degree programme (L) in Social Work (cod. 8040)

  • Teaching resources on Virtuale


This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

No poverty Quality education Gender equality Decent work and economic growth

Academic Year 2021/2022

Learning outcomes

The course deals with basic topics concerning the methodology and technics of socio-political empirical research.

Students will acquire knowledge and skills useful for the comprehension of the main data collection designs, the critical evaluation of data displayed in socio-political empirical research, as well as the skills needed for producing basic (univariate, bivariate and multivariate) statistical analyses.

Course contents

  • Types of property and types of variables.
  • Structure of the data Matrix.
  • Official Statistics
  • Basic concepts and main techniques of monovariate descriptive statistics (mode, median, mean, quantiles; eterogeneity and variability measures),
  • Frequencies, graphic representations.
  • Statistical data sources.
  • Data transformation (standardization, index).
  • Historical and territorial series.
  • Basic concepts and main techniques of bivariate descriptive statistics: relation between variables (statistical dependence, anova, covariance, correlation).
  • Introduction to multivariate statistics.
  • Sampling techniques and issues.
  • Basics of inferential statistics.
  • Sampling designs and probability distributions. Hypothesis testing.
  • Readings/Bibliography

    P. Corbetta, G. Gasperoni, M. Pisati, Statistica per la ricerca sociale, Bologna, Il Mulino, 2001 (chaps. 1, 2, 3, 4, 5, 6, 7, 10).

    E. Giovannini, Scegliere il futuro. Conoscenza e politica al tempo dei Big Data, Bologna, Il Mulino, 2014.


    As regards permutations, combinations and probability theory, as well as inferential statistics, students can consult a number of specialised texts, material that can be freely accessed on-line and slides used in class (which can be downloaded from the Unibo AMS Campus - AlmaDL website).

    Teaching methods

    Face-to-face lessons and periodic exercises.

    Assessment methods

    The exam is administered in exclusively written form.

    The students who attend the course can participate in a procedure of evaluation during the course period. It consists in two tests based on exercises and multiple-choice questions.

    The only valid mark is the one achieved in the most recent attempt to pass the exam.

    A candidate who doesn't participate in an exam for which he/she has registered cannot participate in the following exam session.

    Teaching tools

    Face-to-face lessons, periodic exercises, slides

    Office hours

    See the website of Valerio Vanelli