Multilevel models operate by partitioning the variance in the outcome variable into components attributable to each level of the data hierarchy. For instance, in a two-level model with patients nested within hospitals, the total variance in patient outcomes is divided into within-hospital variance and between-hospital variance. This allows researchers to account for the intra-class correlation, or the degree to which outcomes are more similar within groups than between groups.
