Cumulative Link Mixed Model

A statistical model for analysing ordinal outcome data (such as Likert-scale ratings) that includes both fixed effects (experimental conditions) and random effects (participants, stimuli). CLMMs use a link function — commonly logit — to relate ordered categorical responses to predictors, and are widely used in accessibility and HCI research when analysing repeated-measures Likert data without assuming the intervals between rating points are equal.