Class lectures and some exercise will be carried out together. Some speakers are going to be invited to discuss on advanced topics.
The course faces the main issues dealing with surveys. The topics are treated following the logical path that the various steps of a research activity implies: problem identification, data collection, elaboration, data analysis and outcomes evaluation.
Overview and introduction to data base management systems. Our data driven society today requires a proper approach to data management for social scientists. Our digital world today produces a huge amount of very detailed and large data logs that represent a new dimension for data scientists.
Sampling plans; sampling designs; sampling dimensions; sampling errors; selection criteria for samples; Tests on samples: binomial test; χ2, Kolmogorov-Smirnov Test on samples with two dependent measures, McNemar Test on independent samples, Fisher's test; median tests, Wilcoxon-Mann-Whitney Test
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