2023-2024 / PSYC5898-3

Multivariate analysis methods


30h Th

Number of credits

 Master in psychology (120 ECTS)4 crédits 


Francis Pérée

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester


Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

This course deals with problems that are encountered by researchers in psychology, pedagogy and speech therapy. Through the students' use of the SAS software, the course studies the most frequent multivariate statistical procedures that are in use in social sciences.
A theoretical account synthesizes the various statistical concepts taken into consideration in each chapter. The latter are then illustrated by concrete applications which are solved with the help of the two sorts of software mentioned above.
The studied topics are as follows : Matrix Algebra - Introduction to the SAS software - Stepwise Regression- Logistic Regression - Analysis of Multivariate Variance - Exploratory Factor Analysis - Canonical Analysis - Discriminant Analysis - Cluster Analysis- Principal Component Analysis - Correspondence Analysis - Multidimensional Scaling Mixed Linear Models.

Learning outcomes of the learning unit

Primarily, the course intends to help the students to acquire the knowledge of the classical multivariate statistical procedures, to solve concrete problems whose solutions imply to resort to them and, in this context, to understand the use of statistical software.
Thus the students must acquire and/or develop their knowledge in multivariate statistics and handle the use of the SAS software. This software works on Microsoft PC (native mode) and on Mac (online via SAS on DEMAND)

Prerequisite knowledge and skills

To have followed and passed the preceding PSYC5900-2 course "Problems of Statistics and Software Use" (or equivalent) and to be able to use at least a statistical software (preferably SAS).

Planned learning activities and teaching methods

The necessary practical exercises are offered to students as part of the course and must be solved on computer. Additional exercises (with provided solutions) are also planned online (via the eCampus platform)

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course

Additional information:

Each course session will be delivered in person in the CAFEIM room (B32). It will be completed by exercises to be carried out in session, exercises whose patch will be provided and by additional exercises online (eCampus).

Recommended or required readings

PEREE F.P., Analyse multivariée et utilisation de logiciels statistiques, Editions de l'Université de Liège, 2022.

Exam(s) in session

Any session

- In-person

written exam ( open-ended questions )

Additional information:

The evalution takes place at the end of the academic year. The evaluation is carried out by means of a three-hour writtent test in wich each student has to solve on his osn, on a computer, several concrete problems in the application of statistics.

The students may use their course book, personal notes and examples of programs.

Work placement(s)

Organisational remarks and main changes to the course



UNIVERSITY OF LIEGE Service of Quantitative Psychology Sart Tilman B32 Quartier AGORA Place des Orateurs, 2 B-4000 Liège BELGIUM Tél : +32 366 22 31 e-mail : fperee@uliege.be

Association of one or more MOOCs