Name: Mixed effect models in R
Start: 2020-11-23T17:15:00Z
End: 2020-11-23T19:15:00Z

Join us for a practical session on mixed-effects models in R

The talk will cover techniques used to implement and run mixed-effects models, specifically Linear Mixed Models (LMM) and Generalized Linear Mixed Models (GLMM) in R. It will also detail assumptions of the tests and common pitfalls in application. You’ll learn about the models in the context of common research examples from the areas of Psychology and Psycholinguistics.

Grab a snack and a drink and dial in on Monday, 23rd November, at 5:15PM (GMT)

5:15-5:20 Welcome
5:20-5:30 Introductions
5:30-7:00 Talk and tutorial: Mixed-effects models in R by Natalia Resende

Our speaker Natalia Resende is a Marie Skłodowska-Curie research fellow at Adapt Centre, School of Computing, Dublin City University. Her expertise is in the domains of Psycholinguistics, Natural Language Processing and Machine Translation. More recently, her work focuses on investigating how machine translation systems (such as the popular Google Translate system) impact the processing of English as a second language in the human brain. Natália Resende graduated in English teaching from Federal University of Minas Gerais, Brazil. She has received her PhD in Psycholinguistics from the Federal University of Santa Catarina, Brazil in 2015 and her masters in Natural Language Processing from Wolverhampton University, United Kingdom, in 2009.

This is a practical session. You’ll need to install RStudio or use R Studio Cloud https://rstudio.cloud/.

We'll be recording the event for future reference, we hope that’s ok with you.

See you on the Internet :)
Jo, Paola and Sapna

Jo Nieć

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Mixed effect models in R

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Mixed effect models in R

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