MEDAL Masterclass: Towards Data Analysis Excellence
Towards Data Analysis Excellence: Working with Linear, Generalised Linear, and Generalised Additive Mixed Effects Models in Linguistic Data Analysis
This workshop is intended for linguists and language scientists who are looking to build a foundational understanding of statistical modelling for linguistic data. We will focus on Linear, Generalised Linear, and Generalised Additive Mixed Effects models, employing hands-on exercises that leverage real research problems and datasets. The workshop also aims to clarify the concept of random effects in modelling and will touch upon its relation to Bayesian modelling approaches.
This workshop is suitable for individuals with some background in statistics and a strong interest in Methodological Excellence in Data-Driven Approaches to Linguistics (MEDAL). It is especially relevant for those who wish to apply these skills in academic or research settings. Attendees should have experience working with R, and be comfortable reading in data and running basic statistical procedures.
When?
Tuesday 16 - Friday 19 January 2024. Times TBA.
Where?
This is a hybrid event that will take place both online on zoom and at the the University of Tartu. You will get the zoom link after registration.
About the instructor
Petar Milin is Professor of Psychology of Language and Language Learning. Learn more about his work here.
About MEDAL
This is a workshop organised by Methodological Excellence in Data-Driven Approaches to Linguistics (MEDAL) is an international consortium initiated by the University of Tartu in Estonia, in collaboration with the Max Planck Institute for Psycholinguistics and Radboud University in the Netherlands and the University of Birmingham in the United Kingdom. Financed by the EU Horizon Europe programme (101079429) and UK Research and Innovation organisation (101079429). MEDAL’s mission is to build expertise in data-driven linguistics methodology among early-career researchers. Read more about MEDAL here.
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