cod. 14470

Academic year 2023/24
2° year of course - First semester
- Luciano FERRARI
Academic discipline
Statistica sociale (SECS-S/05)
Statistica ed epidemiologia
Type of training activity
8 hours
of face-to-face activities
1 credits
hub: -
course unit


Learning objectives

Training and development objectives:
- The goal of the course is to provide the theoretical concepts and tools for analyzing statistical and the definition of indicators for the assessment of the social phenomena and health services.
- In particular, with an interactive teaching based on examples and exercises, it will discuss about the methods to define indicators to analyze in the local context and for evaluating the services and projects and organizational performance


"Social Statistics" exam can be taken only after passing the exams of "Statistics and Methodology of Nursing and Obstetrics Research" and "Epidemiological Methods of Study, Programming and Evaluation of Health Services".

Course unit content

The course aims to provide students with knowledge of theoretical concepts and tools for statistical analysis, as well as the definition of indicators for understanding and evaluating socio-health phenomena and services. Through a teaching approach that includes practical examples, students will develop the ability to apply the learned concepts, using methods aimed at constructing indicators for analyzing citizens' demand at the local level and evaluating services and projects. Therefore, at the end of the course, students will be able to use integrated systems of indicators for evaluating the socio-health context.

Full programme

- In the first part, topics related to the following be covered
• Linking organizational objectives, measurement, performance evaluation
• Measurement of health and social phenomena
• Definition and methodological principles of social indicators (validity and reliability)
• Indicators and Measurement
• Type of indicators and health services delivery setting
• Multidimensional evaluation and analysis of organizational and individual performance (BSC)

- In the second step will detail the use of the indicators with specific examples (drafting of reports, planning of health activities, evaluation of clinical pathways)

• Hospital Care
• Case studies and analysis of production
• Use and evaluation of Barber and Gandy nomograms
• Territorial Health Care
• Consumption and supply indicators
• Evaluation of the supply density
• Social Care Area
• Indicators for the evaluation of disability and the care burden
• Area of organizational performance
• Indicators for process evaluation and outcome
• Multidimensional Rating
• Overview of multivariate analysis: factorial analysis, cluster analysis, linear and logistic regression, ROC Curve, Mediation and Moderation.

• Video tutorials on statistical applications (posted on Elly)


The oral exam will be based on the topics covered during the course (slides and lecture materials) and one reading from the following list (subject to updates):

Psychometrics Area
- Balsamo M. (2017), Elementi di psicometria, McGraw Hill, MIlano
- Chiorri C. (2020), Fondamenti di psicometria, McGraw Hill, Milano
Indicators, Tests, and Scales Area
- Boncori L. (2006), I test in psicologia. Fondamenti teorici e applicazioni, Il Mulino, Bologna

Multivariate Statistical Analysis Area
- Bohrnsteid G.W., Knoke D. (1994), Statistica per le scienze sociali, Il Mulino, Bologna
- Corbetta P. (1992), Metodi di analisi multivariata per le scienze sociali, Il Mulino, Bologna
- Gallucci M., Leone L, Berlingeri M (2017), Modelli statistici per le scienze sociali, Pearson, Milano

Teaching methods

Lectures can be conducted in frontal and interactive manner, incorporating exercises and assignments. Additionally, there will be video tutorial on statistical applications

Assessment methods and criteria

Mode: before the oral examination, students are required to complete an online test by accessing the Course webpage on the Elly platform. The test complements the oral exam, which will be conducted on dates specified by the academic calendar

Other information

Students must attend at least 50% of the lesson hours.