90528 - STATISTICA SOCIALE

Course Unit Page

SDGs

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

No poverty Good health and well-being Reduced inequalities

Academic Year 2021/2022

Learning outcomes

By the end of the course the student is capable to know and apply the basic tools of quantitative analysis in the field of sociology and social service. Specifically, the student is able to: - gather information and data from statistical sources, use the basic tools of quantitative statistical analysis and read and verify the results in social research.

Course contents

The main topics represent some basic tools for quantitative social analysis and therefore for transforming data into decisions. The effects and approximations that derive from chance and random mechanisms in general will be considered.

The main points of the program are:

-Introduction to statistical thought and to statistical data analysis

- The Official Sources of Social Statistics -

- Types of statistical variables

- Statistical units, population and samples.

- Collecting, arranging and constructing arrays of data

- Frequency distributions and graphical representations

- The univariate analysis: measurements of central tendency and variability

- The bivariate analisys: association measurements and regression analysis

- Hints of multivariate analysis: logistic regression

- Social indicators and Indexes: how to measure and evaluate wellbeing, development and poverty

- Basic elements of demographic components and population development

 

Readings/Bibliography

Main reference: P. Corbetta, G. Gasperoni e M. Pisati, Statistica per la ricerca sociale, Bologna, Il Mulino, 2001 (chapters 2 to 9).
Slides and lectures materials at disposal on IOL platform.

other references:

B. Pacini, M. Raggi, Statistica per l'esercizio operativo dei dati , Carocci Editore (2009).

S.Borra, A. Di Ciaccio, Statistica per le scienze economiche e sociali, IV edizione, McGrow Hill,2021


Exercises references :
L. Stracqualursi, M. Matteucci, Statistica e laboratorio , Monduzzi (2011).
C. Iodice, Esercizi svolti per la prova di statistica , Edizioni Simone (2007).

Additional references useful for non-attending students:

- "Diamond, Jefferis, Introduzione alla statistica per le scienze sociali, McGraw-Hill": solo capitoli 1-5 e 13-14.

- "Giuseppe Leti, Loredana Cerbara, Elementi di statistica descrittiva, Il Mulino": capitoli 1-5

Teaching methods

The "SOCIAL STATISTICS" course occurs in the same period of the "METHODOLOGY OF SOCIAL SCIENCES" course, taught by Prof.ssa Antonella Ceccagno, and together they make up the integrated METHODOLOGY OF SOCIAL SCIENCES AND SOCIAL STATISTICS course.

The Social Statistics course has a quantitative approach and aims at the analysis and interpretation of data relating to social phenomena

 

 

Assessment methods

Until further provision of the Academic Authority, and due to health emergency, the exam will take place online using the Eol (online exams) and Zoom platforms.

The test lasts approximately one hour and consists of a maximum of 15 questions that will be managed in a quiz mode containing both multiple choice and open answer questions.

Particularly:

Multiple choice questions can contain both multiple options related to the result of an exercise that the student will have to obtain, and theoretical questions with multiple answer options.

The open-ended questions may be exercises to be carried out for which the procedure and the result will be indicated. Microsoft Excel spreadsheets or other software will be used.

Very Important: participation in the exam implies registration on Alma Esami in the required time. Without such a registration, it is not possible to access the platform. Failure to register on Alma Esami therefore implies non-participation in the test.

 

The Integrated Course final mark is unique, it is registered by me and it is given by the average of the two marks (rounded up if the mark is 0.5 or more) obtained in the two single tests.

Teaching tools

Online materials (slides, papers, exercises).

Internet, video, software, data

 

Office hours

See the website of Rosella Rettaroli