Scott James Perry (University of Alberta)

In recent years, software improvements have made Bayesian models much more common in linguistics. These types of models have several advantages, such as intuitive interpretation, flexible model specification, and the incorporation of scientific knowledge into the model. This workshop is an introduction to building Bayesian models using the brms package in R. By the end of the course, participants will be able to fit models that are commonly used in psycholinguistics to their own data. The hands-on components of this workshop will include the entire Bayesian workflow: setting proper priors, fitting and comparing models, checking model fit, interpreting model effects, and reporting models for publications. Basic knowledge of R and statistics is required.