Random Slopes, Crossed Effects & Estimation – Practice Quiz

Extend hierarchical models to varying trajectories and crossed measurements. Practice random-slope covariance, time centering, covariance admissibility and the distinction between nested and crossed designs. Prerequisites: random intercepts, matrix covariance, linear regression and likelihood. Examine ML versus REML comparisons, singular fits, identifiability, boundary tests and the effects of covariance constraints. Single-select and multiselect practice includes worked explanations and distractor rationales.

Study sources: lme4: Singularity; lme4: Model Comparisons.

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