Duration
30h Th
Number of credits
| Master in psychology (120 ECTS) | 3 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Schedule
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
30 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, hybrid learning)
Each session of the course will be delivered via a video available on the E-campus platform. It will be completed by exercises to be carried out at home, exercises for which the correction will be provided. These exercises will follow a curve of difficulty (and will also include data encoding exercises).
Q&A sessions may be organised via the COLLABORATE platform. During the sessions, the students'questions may be answered. Theses questions wil have been collected inthe space provided on the E-campus forum.
Organisational adjustments related to the current health context
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
Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.
Any session :
- In-person
written exam
- Remote
written exam
- If evaluation in "hybrid"
preferred remote
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.
On the date fixed for the exam, students must download on the E-campus platform a ZIP file including their data file and their questionnaire, both personalized. Students must respond in writing (in computer typing) on the questionnaire received. This questionnaire is to be sent back to E-campus at the end of the exam.
Work placement(s)
Organizational remarks
In addition to active participation in the study of course videos and in the realization of exercises, frequent individual training in the use of the software is strongly recommended to 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