There are many types of outcome variables that don’t work in linear models, but look like they should. (I mean, specifically, OLS regression and ANOVA models).
They include discrete counts; truncated or censored variables, where part of the distribution is cut off or measured only up to a certain point; and bounded variables, like proportions and percentages.
This article outlines a particular type of outcome variable: one that measures whether or when an event occurs. They are typically called (more…)