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)
This year, the classes will be under the form of distance learning, with individual preparation.
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.
Blackboard Collabotae on eCamps seems to be the best system. FIRST CLASS ON COLLABORATE SEPTEMBER 21st AT 13H.
It is mandatary to install the free statistical tool "jamovi" (1.6.1) in order to solve the exercises.
Organisational adjustments related to the current health context
En fonction de la situation sanitaire au moment de l'examen, celui-ci aura lieu soit en présentiel, soit à distance. Dans les deux cas, les modalités d'examen seront les mêmes.
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.
Non madatory: Hayes, A. F. (2018). Mediation, Moderation, and conditional process analysis. Guilford.
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 ( open-ended questions )
- Remote
written exam ( open-ended questions )
- If evaluation in "hybrid"
preferred in-person
Additional information:
Exam in january / august : interpretation of statistical outputs but also Q on the chap from Judd et al. (2018)
Update 10 décembre
En raison de la situation sanitaire, l'examen de janvier sera en distanciel. Date et heure inchangées.
Work placement(s)
Organizational remarks
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