This information sheet indicates how the course will be organized at pandemic code level yellow and green.
If the colour codes change during the academic year to orange or red, modifications are possible, for example to the teaching and evaluation methods.

Applied multivariate analysis

Course Code :2300PSWMVA
Study domain:Statistics
Academic year:2020-2021
Semester:1st semester
Contact hours:45
Study load (hours):168
Contract restrictions: No contract restriction
Language of instruction:Dutch
Exam period:exam in the 1st semester
Lecturer(s)Dimitri Mortelmans

3. Course contents *

The first part covers the basics of structural equation modelling. Continuing previous courses on path analysis and factor analysis, the measurement model (confirmatory factor analysis) is discussed followed by the standard structural model.

The second part consists of an introduction in multilevel analysis. Starting from the regression model in the course Statistics 2, we gradually extend the model to estimations of the null random intercept, the random intercept en the fully random multilevel models.

A third and last part introduces students in the basics of longitudinal analysis. After a short introduction on time and measurements of time in social scientific research, a basic introduction is given on three often used techniques of longitudinal modelling. In each of these three traditions we link to previous courses (Statistics II or Applied Multivariate Statistics itself).

Students use the ESS (European Social Survey) dataset and use SAS in their programming. An introduction to the use of SAS is given at the start of the course.