Duration
45h Th
Number of credits
| Master in psychology (120 ECTS) | 6 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Students and researchers as well are often lost in front of their data. Most of the time, they simply don't know how to analyse the data or, worse, they do it in a wrong or ineficient way. The classes will give them a better understanding of statistics based on regression analysis. We will present analyses based on models comparison in the sake of a better understanding of the data.
Index: regression analysis with 1 continuous or categorical predictor, 2 continuous or categorical predictors, 2 predictors and the interaction (moderation), mediation analyses.
Learning outcomes of the learning unit
The aim is to enhance students' understanding of the domain as well as their ability to correctly analyse data. They should become "data analysers" more than statisticians.
Prerequisite knowledge and skills
Planned learning activities and teaching methods
Oral presentation by the teacher. Individual work (classes' preparation). Exercises and interpretation of results.
Usually, the class starts with an abstract of the material seen during the former session, Q-A from the students, resolution and comments of the exercises. These exercises are discussed either during the class or indivudualy prepared. This material will be available on the internet.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
In order to communicate with the students and attend to the class, it is MANDATORY to get enrolled as soon as possible at the university.
It is mandatary to install the last stable version of the free statistical tool "jamovi" in order to solve the exercises.
Recommended or required readings
Mandatory: Judd, C. M., McClelland, G. H., Ryan, C. R., Muller, D., & Yzerbyt, V. (2eme Ed., 2018). L'analyse des données : une approche par comparaison de modèles. De Boeck, Bruxelles.
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions )
Additional information:
Exam in january / august : interpretation of statistical outputs but also Q on the chap from Judd et al. (2018)
Work placement(s)
Organisational remarks and main changes to the course
In order for the students to prepare the material, the class will be organize every two weeks. The calendar will be given during the first class.
Contacts
b.dardenne@uliege.be