I have fitted a cumulative ordinal model (logit) on responses from a 5-point Likert scale.
As means, and thus mean differences, aren’t particularly meaningful or appropriate for ordinal responses. I’m wondering if differences in the latent scale are meaningful or appropriate.
Am I correct that the values returned from
posterior_linpred are the untransformed values of the combined predictors? Are between-group comparisons in these values at all similar to mean comparisons? For example, on a Disagree to Agree scale, would positive differences between groups indicate “more agreement”?