Cerca insegnamenti o docenti



Data Analysis and Statistics - programma
Data analysis and statistics - programma

Stampa questa pagina

NAZARENO PANICHELLA , responsabile dell'insegnamento

Corso di laurea in MANAGEMENT OF HUMAN RESOURCES AND LABOUR STUDIES (MLS) Classe LM-62 Enrolled from 2014/2015 academic year - Laurea Magistrale - 2018/2019

Insegnamento obbligatorio
Anno di corso1s
Periodo di svolgimentoprimo trimestre
Settori scientifico disciplinari
  • SECS-S/04 - Demografia
Crediti (CFU) obbligatori6
Crediti (CFU) facoltativi-

Informazioni generali

Obiettivi: 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..

Lingua dell'insegnamento: English

Programma di studio

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.

Short course description english flag

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;
- 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..

Bibliografia e altri materiali didattici: - 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).

Modalità di esame, prerequisiti, esami propedeutici

Esame in un'unica volta o suddiviso in partiunico
Modalità di accertamento conoscenzeEsame
Giudiziovoto verbalizzato in trentesimi

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.

Prerequisiti e modalità di esame per non frequentanti 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.

Attività propedeutiche consigliate Basic Statistics, Methodology of social research, Demography.

Organizzazione della didattica

Settori e relativi crediti

  • Settore: SECS-S/04 - Demografia - Crediti: 6
Attività didattiche previste

Lezioni: 40 ore

Ricevimento Docenti

Orario di ricevimento Docenti
DocenteOrario di ricevimentoLuogo di ricevimento
NAZARENO PANICHELLA , responsabile dell'insegnamento14.00-17.00.Stanza 1 - primo piano