Data analysis and statistics

A.A. 2018/2019
Insegnamento per
6
Crediti massimi
40
Ore totali
SSD
SECS-S/04
Lingua
Inglese
Obiettivi formativi
The wide availability of data in our societies allows us to analyse several issues related to demographic, social, and labour market dynamics, i.e. aging, immigration, educational and occupational career, life courses, couple formation, fertility, etc. In order to exploit data sources, the knowledge of statistical analysis and inference is a crucial point. This course aims to introduce the logic of quantitative analysis in social research by providing students with some useful tools for data manipulation, exploratory data analysis, statistical tests, categorical data analysis, and regression. The course enables students to structure and conduct autonomously a research project based on the analysis of data sets concerning social sciences.
In detail, attending students will be able to:
- collect data and enter their own datasets for analysis,
- identify appropriate statistical methods,
- conduct their own analysis using the software program SPSS, a widely used software package in the social sciences;
- interpret the results of the data analysis,
- check the assumptions on which each analysis depends and make appropriate adjustments or select alternative methods of analysis..

Struttura insegnamento e programma

Edizione attiva
Responsabile
SECS-S/04 - DEMOGRAFIA - CFU: 6
Lezioni: 40 ore
STUDENTI FREQUENTANTI
Programma
Data sources for social research
Data matrix, cases and variables.
Distributions and numerical summaries.
Data manipulation.
Scaling and standardizing.
Measuring inequality.
Smoothing time series.
Sampling and statistical inference.
Contingency tables.
Chi-square statistic.
Scatterplots and linear relationships.
Linear regression model.
Causal explanation and multivariate analysis.
Multiple regression and logistic regression models.
Longitudinal data and approaches to event history modelling.
Propedeuticità
Basic Statistics, Methodology of social research, Demography.
Prerequisiti e modalità di esame
Prerequisites. Students must be numerically and computer literate. Students should be familiar with basic statistical concepts.

Assessment method (for attending students). Written test at the end of the course + optional research report. The report can be developed by small-groups (2/3 students). The exam and report are valid until the end of academic year.
Materiale didattico e bibliografia
- Exploring data. An introduction to Data Analysis for Social Scientist (Second edition). Catherine Marsh and Jane Elliott. Polity. 2008.
- Lecture notes (available on ARIEL website during the course).
STUDENTI NON FREQUENTANTI
Prerequisiti e modalità di esame
Prerequisites. Students must be numerically and computer literate. Students should be familiar with basic statistical concepts.

Assessment method (for attending students). Written test at the end of the course + optional research report. The report can be developed by small-groups (2/3 students). The exam and report are valid until the end of academic year.
Periodo
Primo trimestre
Periodo
Primo trimestre
Modalità di valutazione
Esame
Giudizio di valutazione
voto verbalizzato in trentesimi
Docente/i
Ricevimento:
Si comunica che il ricevimento del prof. Panichella di lunedì 6/5/2019 è sospeso. Per urgenze si prega di contattare il docente per email.
Stanza 1 - primo piano