Generalized Linear Mixed Models

Monday 25 June 2018, 16:00 to 18:00
Invité: 
Christoph Scheepers (University of Glasgow, invité Labex EFL)
Organisation: 
Barbara Hemforth (Labex EFL)
Lieu: 

ODG – Salle 204

Christoph Scheepers (University of Glasgow)
Generalized Linear Mixed Models

The third session will focus on repeated-measures designs (probably the most commonly used type of design in psycholinguistics and cognitive psychology), leading to the introduction of generalised linear mixed models (GLMMs). I will discuss the basic concept behind random versus fixed effects and how repeated-measures dependencies are handled in GLMMs to allow for appropriate generalization of experimental findings beyond the current sample of participants and items. Specifically, I will make an argument for specifying the maximal random effects structure justified by the design (for confirmatory analysis) and provide examples to illustrate its implementation and interpretation. Potential convergence issues associated with maximal GLMMs will also be discussed.

Télécharger le matériel pédagogique (ZIP, 3,8 Mo)