SOCIAL STATISTICS

Academic Year 2020/2021 - Teacher: ROSARIO GIUSEPPE D'AGATA

Required Prerequisites

Student should possess the fundamental notions of maths and descriptive and inferential statistics

Attendance of Lessons

Attendance is not mandatory but strongly recommended

Detailed Course Content

The first module will focus on the design of a statistical survey starting from the analysis of official national and international statistical sources. Furthermore particular attention will be paid to sampling strategies and the construction of the questionnaire, including some hints on scaling techniques. The second module provides an in-depth analysis of the concept of social indicator, specifically the topics related to the construction of a composite indicator. In this stage, we will focus on those aspects of multivariate analysis related to the construction and synthesis of simple indicators. The third module involves the study of the most common non-parametric tests. Finally, the second part of the third module includes a reference to textual analysis and social network analysis.

Textbook Information

Module 1 D. F. Iezzi (2009), Statistica per le Scienze Sociali, Carocci, Roma. Parte prima (da pag. 23 a pag. 190) 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. Module 2 D. F. Iezzi (2009), Statistica per le Scienze Sociali, Carocci, Roma. Parte seconda (da pag. 283 a pag. 314) Handbook on Constructing Composite Indicators. Methodology and user guide., www.oecd.org/publishing. L. Fabbris (1997), Statistica multivariata. Analisi esplorativa dei dati, McGraw-Hill, Milano, pp. 3-77. Module 3 D. F. Iezzi (2009), Statistica per le Scienze Sociali, Carocci, Roma. Parte seconda (da pag. 361 a pag. 397). 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.

Learning Assessment

Learning Assessment Procedures

Learning assessment will be oral and remotely. In case restrictions due to COVID 19 had to cease, then exams would turn to be written and in person.