tverrklassifiserte
Tverrklassifiserte describes data or analytical designs in which units are grouped simultaneously according to two or more classification factors that are not nested within each other. In such data, the grouping factors cross, meaning an observation is associated with multiple classifications that do not form a simple hierarchical structure. This contrasts with hierarchical or nested structures, where units are organized in a clear parent–child sequence (for example, students within classes within schools).
In cross-classified designs, the response variable may be influenced by several random effects corresponding to each
Estimation typically relies on mixed-effects modeling approaches, such as linear or generalized linear mixed models, and
Common examples include educational data where students are associated with both schools and teachers, health data