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Interaction Terms and Hierarchical Linear Models/Linear Mixed Models
Join us for the Fitting Models to Data Not Data to Models workshop series! This workshop series introduces early-career researchers to statistical models beyond linear models, focusing on fitting models to data rather than forcing data to fit model assumptions. Sessions use R and RStudio; prior experience is helpful but not required - beginners are encouraged to review R Fundamentals for Data Analysis or attend the intro workshop.
Interaction Terms and Hierarchical Linear Models/Linear Mixed Models: This workshop will introduce interaction terms in linear models along with random and fixed effects, including random and fixed intercepts and slopes, in the context of Hierarchical Linear Models (also known as Linear Mixed Models). By the end of this session, participants should be able to fit (Hierarchical) Linear Models (HLMs) with interaction terms and interpret the output of the summary() function for Hierarchical Linear Models. Additionally, participants will be able to identify the limitations of (H)LMs.
Questions? Please reach out to the Centre for Scholarly Communication at csc.ok@ubc.ca.
A full schedule of workshops can be found at csc.ok.ubc.ca/workshops/