Multilevel Analysis with R

  • Teaching

    Details

    Faculty Faculty of Humanities
    Domain Psychology
    Code UE-L25.00777
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SS-2024

    Schedules and rooms

    Summary schedule Tuesday 10:15 - 12:00, Hebdomadaire (Spring semester)

    Teaching

    Teachers
    • Sokhn Nayla
    Description

    This seminar introduces how to build and interpret basic multilevel models in R. It is divided into two parts: theory and practice.

    Theory Part:

    • Introduction to the logic of multilevel modeling
    • Understanding hierarchical data structures (e.g., students nested within schools, repeated measures)
    • Random Intercepts and Random Intercepts and Slopes: Understanding how to model variability at different levels
    • Variance Partitioning: How variance is distributed across different
    •  Model Fit and Diagnostic
    • Model components and Equations

     

    Practical Part:

    • Fitting basic multilevel models in R:
    • Interpreting and reporting results using example datasets
    Softskills No
    Off field No
    BeNeFri No
    Mobility Yes
    UniPop No
  • Dates and rooms
    Date Hour Type of lesson Place
    20.02.2024 10:15 - 12:00 Cours RM 01, Room C-01.108
    27.02.2024 10:15 - 12:00 Cours RM 01, Room C-01.108
    05.03.2024 10:15 - 12:00 Cours RM 02, Room S-01.118
    12.03.2024 10:15 - 12:00 Cours RM 01, Room C-01.108
    19.03.2024 10:15 - 12:00 Cours RM 01, Room C-01.108
    26.03.2024 10:15 - 12:00 Cours RM 01, Room C-01.108
    09.04.2024 10:15 - 12:00 Cours RM 01, Room C-01.108
  • Assessments methods

    Examen - SS-2024, Session d'été 2024

    Date 04.06.2024 09:00 - 11:00
    Assessments methods By rating, By success/failure

    Examen - SS-2024, Autumn Session 2024

    Date 02.09.2024 09:00 - 11:00
    Assessments methods By rating, By success/failure

    Examen - AS-2024, Session d'hiver 2025

    Assessments methods By rating, By success/failure

    Examen - SS-2025, Session d'été 2025

    Date 18.06.2025 09:00 - 11:00
    Assessments methods By rating, By success/failure
  • Assignment
    Valid for the following curricula:
    Psychology 30 [MA]
    Version: SA21_MA_PS_fr_de_bil_v01
    Option Developmental & School Psychology > Méthodes en neurosciences cognitives
    Option Work & Organisational Psychology > Méthodes en neurosciences cognitives
    Option Clinical Psychology & Health Psychology > 1 module à choix > Méthodes en neurosciences cognitives
    Option Clinical Neuroscience > Méthodes en neurosciences cognitives
    Psychology 30 [MA]
    Version: SA22_MA_PS_fr_de_bil_v01
    Option Developmental & School Psychology > Méthodes en neurosciences cognitives
    Option Work & Organisational Psychology > Méthodes en neurosciences cognitives
    Option Clinical Neuroscience > Méthodes en neurosciences cognitives
    Option Clinical Psychology & Health Psychology > 1 module à choix > Méthodes en neurosciences cognitives
    Psychology 30 [MA]
    Version: SA18_MA_P2_fr_de_bil_v01
    Specialisation Module > Cognitive Neuroscience > Methods in Cognitive Neuroscience (NCS B)
    Psychology 90 [MA]
    Version: SA22_MA_PA_fr_de_bil_v01
    Options > Cognitive Neuroscience > Méthodes en neurosciences cognitives
    Psychology 90 [MA]
    Version: SA21_MA_PA_fr_de_bil_v01
    Options > Cognitive Neuroscience > Méthodes en neurosciences cognitives