STATISTICA SOCIALE

The course deals with the main issues dealing with how to conduct a survey. Topics are faced following the logical path for a research activity: problem identification, data collection, elaboration, data analysis, outcomes evaluation.

The subject is divided into three parts.

Module 1 - Sources and indicators.

Data sources. Institutional data sources. Informative statistical systems. Data matching techniques. Data transformations. Ratio and indices classification. Indicators. Composite indicators.

Module 2 - Sampling techniques. Non parametric tests.

Sampling techniques. Sample design. Sample dimensions. Sample bias. Sample selection criteria. One sample non parametric tests: binomial test, χ², Kolmogorov-Smirnov. Two-dependent samples non parametric tests: McNemar. Two-independent samples non parametric tests: Fisher, χ², median test, Wilcoxon-Mann-Whitney.

Module 3 - Space and time series. Notions of multi-variate statistics.

Time serie: classic and modern approach. Box-Jenkins model, stocastic processes: auto-regressive model (AR), mobile average models (MA), ARMA and ARIMA models.

Principles and logics of multidimensional analysis. Matrices

For the first module:

ISTAT (2011), Navigando tra le fonti demografiche e sociali, ISTAT, Roma,http://www3.istat.it/dati/catalogo/20100325_01/Navigando_tra_le_fonti_demografiche_sociali.pdf

Bonarini F. (2006), Guida alle fonti statistiche socio-demografiche, CLEUP, Padova, pp. 1-142; 231-308.

Cavaleri P. e Venturini F. (a cura di) (2004), Documenti e dati pubblici sul web. Guida all'informazione di fonte pubblica in rete, Il Mulino, Bologna.D. F. Iezzi (2009), Statistica per le Scienze Sociali, Carocci, Roma (Cap. 10 e 11).

OECD (2008), Handbook on Constructing Composite Indicators. Methodology and user guide., www.oecd.org/publishing

For the second module:

G. Cicchitelli, A. Herzel e G. E. Montanari (1992), Il campionamento statistico, Il Mulino, Bologna, cap. III (§§ 1, 2, 3, 4, 5, 6, 7), pp. 69-84.

L. Fabbris (1989), L’indagine campionaria, N.I.S., Roma, capp. I (§ 1.4, 1.5, 1.6), pp. 24-39.S. Siegel e N. J. Castellan jr. (1992), Statistica non parametrica, McGraw-Hill, Milano, cap. III (§§ 3.4, 3.4.1, 3.4.2) e cap. IV (§§ 4.1, 4.2, 4.3), pp. 67-92; cap. V (§§ 5.1,5.2), pp. 113-130; cap. VI (§§ 6.1, 6.2, 6.3, 6.4), pp. 151-191.

For the third module:

Fraire M. e Rizzi A. (1998), Statistica, Carocci, Roma, pp. 445-478.

L. Fabbris (1997), Statistica multivariata. Analisi esplorativa dei dati, McGraw-Hill, Milano, pp. 3-77.