Video & Talks

In this final video of the series, I demonstrate running a simple mixed model in R with the function lmer. This video is a step-by-step demonstration of how to run a mixed model in R with lmer, using the sleepstudy dataset.

As part of this series on Mixed Models, Mary Agyapong shared her analytic pipeline to run a mixed model in SPSS using the mixed command. Our motivation to run this demo was a common misconception of the definition of mixed/multilevel models as a repeated-measures regression only, originating from the fact that SPSS mixed command can be run without specifying the random effect (such model would be a Generalised Estimating Equation (GEE) model, and not a mixed model).

Linear Mixed Models are, literally, one of my favourite techniques. When I first started learning Mixed Models during my last year of PhD (2017), they were not at all common in my field (Psychology), but their use quickly spread and publications and resources multiplied.

Abstract Background Previous research reports that increased attention towards social stimuli (i.e., Social Attention, SA) in autistic females may modulate exposure to social contingencies, thereby reducing social interaction difficulties and symptom severity.

Abstract Orienting to others is crucial for learning about the world. Infants show a marked bias for attending to faces, however, we do not know much about the online changes of their attention to faces during the first 3 years.

Throwback of a brief talk I gave during the first lockdown (is it already two years ago?) Here I talk of one of the projects I helped to kickstart, the Safe Passage Follow Up in Cape Town, South Africa.

Illustrating common EEG artifacts that can be monitored and corrected while testing. Please note that this video was recorded in March 2020: it was the first weeks of lockdown and I had terrible connection and equipment at home, hence the quality (especially the audio) is not very good.