Linear mixed models – also called linear mixed-effects models or hierarchical models – are statistical models that extend ordinary linear regression to situations where data points are not independent of each other. What do we mean by this? Examples of non-independent data Hierarchy in data Schools, students and maths. Imagine we were trying to determine whether a student’s age in