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 ensure the acquisition of knowledge and
skills through a written durability testing, normally 1 hour at least without
the opportunity to consult notes or books . The test consists of questions
to free choice and / or multiple choice and / or true / false regarding the
course program . Scores will be declared in the trial . The minimum score
is 18/30 . The purpose of this analytical gradation of the performance of
the student is to reliably assess the level of achievement of the expected
learning results set out above.
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.