Generalized Linear Models

Christoph Scheepers (University of Glasgow)
Generalized Linear Models

The second session will introduce the concept of generalised linear models (function glm() in R), which are capable of adjusting modelling assumptions about error distributions and IV-DV relationships so as to handle various types of data within the same (generalised) regression framework. Using appropriate examples, three model families will be discussed in more detail: binary logistic regression for the analysis of dichotomous DVs, ordinal logistic regression for the analysis of rank-scale DVs (e.g. ratings), and gamma regression for the analysis of positively skewed continuous DVs (e.g. response times).

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