MEASUREMENT AND STATISTICAL ANALYSIS OF SOCIAL PHENOMENA
The course will be structured in three parts: (a) the model of measurement of social phenomena, (b) the complex measurement: composite indicators, (c) collection and statistical analysis of subjective data.
The textbooks will be indicated at the beginning of the lessons.
Learning Objectives
The course enables: to acquire knowledge of methods of measuring and quantifying phenomena as a knowledge-based tool for decision-making, defining and interpreting subjective and objective indicators, knowing how to realize all the stages of a quantitative survey. Know the use of geographic information systems in social research. Exercises on real-world data with the help of statistical software and GIS will enable you to apply the acquired knowledge. During the course will be analyzed the methodologies used in investigations carried out by the ISTAT or by other official statistics producer organizations.
Prerequisites
Basic Course in Statistics
Teaching Methods
Traditional classroom setting (teacher up front giving a lecture/demo). Classroom exercises will be integrated into frontal lessons.
Further information
Use of e-learning platform Moodle where, in particular, will be upload the
teaching materials.
Type of Assessment
The final exam is designed to assess the acquisition of knowledge and skills by means of an oral test as a general rule. During the class period, elaborations on specific topics of the syllabus may be requested, which may be discussed and assessed during the final examination. The
minimum mark is 18/30.
Course program
MEASUREMENT AND STATISTICAL ANALYSIS OF SOCIAL PHENOMENA
Sources of official statistical.
Quality of statistical processes.
Survey: design and implementation.
Questionnaire: design and implementation.
Measurements scales.
Statistical indicators: definition, characteristics and properties.
Social indicators.
Types of social indicators.
Composite indicators: construction and properties.
Collection and analysis of subjective data.
Introduction to spatial analysis of social indicators.
Moran index.
LISA - local indicators of spatial autocorrelation.