2019-2020 / PSYC5898-2

Multivariate analysis and statistical software use

Duration

30h Th

Number of credits

 Master in psychology (120 ECTS)3 crédits 

Lecturer

Francis Pérée

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester

Schedule

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.

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 (virtual mode)

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

15 hours of practice are proposed to the students. However, exercises are also proposed within the framework of the course and must be solved on a computer.

Mode of delivery (face-to-face ; distance-learning)

All the classes take place in the computer room (CAFEIM), which enables each student to work on a computer individually and to solve concrete applications.

Recommended or required readings

PEREE F.P., Analyse multivariée et utilisation de logiciels statistiques, Editions de l'Université de Liège, 2017-2018.

Assessment methods and criteria

The evaluation test last three hours. Each student must solve, by himself and on a computer, several problems in connection with multivariate analysis. The students may have the course book and their personal notes at their disposal. The answers to the questions of the examination must be written down on the personalized questionnaire that each student received at the beginning of the examination.

Work placement(s)

Organizational remarks

In addition to the participation in the course and the training meetings, frequent exercises using the software are recommended to the students.

Contacts

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

Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session

Teaching methods implemented : distance-learning

Assessment subjects

Assessment methods

Contacts

Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session

Assessment subjects

Assessment methods

Contacts