F. Maggino, La misurazione di fenomeni sociali attraverso indicatori statistici. Aspetti metodologici (capitoli 1 e 3). Firenze University Press, Archivio E-Prints, Firenze, 2008.
Free download from FLORE – Florence Research (http://sol.unifi.it/flore/consulta) or http://eprints.unifi.it/archive/00001704/
Suggested:
Noll H.-H. (1996) Social Indicators and Social Reporting: The International Experience, http://www.ccsd.ca/noll1.html
D. Huff (1954) How to lie with statistics. Information at: http://gandalf.it/htlws/
(II)
F. Maggino, La misurazione di fenomeni sociali attraverso indicatori statistici. Aspetti metodologici (capitolo 2). Firenze University Press, Archivio E-Prints, Firenze, 2008.
Free download from FLORE – Florence Research (http://sol.unifi.it/flore/consulta) or http://eprints.unifi.it/archive/00001704/
Suggested:
Nardo M., M. Saisana, A. Saltelli and S. Tarantola (EC/JRC), A. Hoffman and E. Giovannini (OECD) (2005a) Handbook on Constructing Composite Indicators: Methodology and Userguide, OECD, Statistics Working Paper.
Il testo può essere scaricato gratuitamente da uno dei seguenti indirizzi:
- http://composite-indicators.jrc.ec.europa.eu/Handbook.htm
- http://www.oecd.org/LongAbstract/0,3425,en_2649_33715_35231682_119684_1_1_1,00.html
Learning Objectives
KNOWLEDGE: Methodologies aimed at defining and developing statistical indicators.
COMPETENCES: Capacity to define read and interpret statistical indicators. Capacity to plan data analysis and interpret the results.
Prerequisites
Descriptive statistics
Teaching Methods
Lecturing and group work.
Type of Assessment
Oral
Course program
MEASURING SOCIAL PHENOMENA THROUGH STATISTICAL INDICATORS.
(I) Methodological aspects
Devoloping indicators
1. Defining the hierarchical design
2. Defining the model of measurement
3. Developing a system of indicators
Managing the complexity
1. Reducing data structure
2. Combining indicators
3. Modelling indicators
(II) Techinical aspects: composite indicators
Functions of composite indicators
Construction methodology
1. Selection of indicators: dimensional analysis
2. Defining weights (weighting criteria)
3. Identifying aggregation techniques
4. Verifying robustness: uncertaninty and sensitivity analysis
5. Testing discriminant capacity
Criticisms and controversial issues in constructing and applying composite indicators
Possible alternative approaches.
In-depth: examples of composite indicators at international level (human development index, deprivation and poverty indexes, …)