- Docente: Silvia Cagnone
- Credits: 10
- SSD: SECS-S/01
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Rimini
- Corso: Second cycle degree programme (LM) in BUSINESS AND FINANCE INFORMATION SYSTEMS (cod. 8057)
Course contents
Multiple linear regression model. Model specification, estimation,
residual analysis.
Generalized linear models with particular reference to the logistic
regression.
Introduction to latent variable
models. Factor analysis. Model specification, model properties,
parameter estimation.
Rotation, factor scores, goodness of fit.
Latent trait models. Model specification for binary data. Goodness of fit, factor scores, rotations.
Lisrel Models.
Introduction to Lisrel. The measurement problem: exploratory and
confirmatory factor analysis:
Reliability analysis, Cronbach alpha, path analysis. The problem of
causality: the definition of causality, simultaneous equation
models. Model specification: structural model and measurement
model. Model identification. Parameter estimation. Model
validation. The problem of categorical data and the underlying
variable approach
Readings/Bibliography
D.J. Bartholomew, F.Steel, I. Moustaki, J. I. Galbraith (2002),
"The Analysis and interpretation of multivariate data for social
scientists", Chapman and Hall.
Teacher's notes.
Teaching methods
Lab and classroom lessons
Assessment methods
Written project and oral exam
Teaching tools
Software R and Lisrel
Office hours
See the website of Silvia Cagnone