02038 - Applied Statistics

Course Unit Page

SDGs

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

Quality education Gender equality Industry, innovation and infrastructure

Academic Year 2018/2019

Course contents

I Part

-Introduction to Latent variables models

- Principal components analysis

- Factor analysis

- Linear structural equation models (LISREL)

II PART

-A review on multiple linear regression model

-The method for the variable selection

- The regression model with dummy

-The multilevel approach

Analysis of real multivariate data using SPSS for Windows an R.

Readings/Bibliography

- S. Mignani, A. Montanari, Appunti di analisi statistica multivariata, Esculapio, Bologna, Seconda edizione, 1997, 5 (Analisi discriminante);
- David J. Bartholomew ...[et al.], The analysis and interpretation of multivariate data for social scientists, 2002, Chapman & Hall
- Teacher's lecture notes

Teaching methods

Theoretical lessons and practical activities in computer laboratory

Assessment methods

Oral examination
It is possible to take a short written report on the analysis of a data set provided by the teacher. This report replaces part of the oral examination

Teaching tools

Slides, papers and dataset

Office hours

See the website of Stefania Mignani

See the website of Alessandro Lubisco

See the website of Mariagiulia Matteucci