Dear Community,

Thank you Paul (brms author) for referring me to this forum.

I am doing a reliability study, using the methods of https://www.ncbi.nlm.nih.gov/pubmed/28505546. I have a question on using brms to estimate and use of the variance components.

Background: I have 20 subjects, 2 fixed raters, 2 testing sessions, and 10 trials per sessions. my dependent variable is a continuous, interval, variable (scale 0-10) [ subjective pain rating]. So participants are asked to provide a whole number between 0-10, repeatedly. Sessions are nested within each subject-assessor combination, and trials nested within each session. I want to estimate the variance components, in itself, but also to calculate an ICC to produce a relative measure of inter-rater and inter-session reliability .

My model is:

brms_mod = brm (vas ~ RATER +

(1|SUBJ) +

(1|SUBJ:SESSION) ,

data = df %>% filter (SIDE == â€śRâ€ť),

family = cumulative(â€ślogitâ€ť),

threshold = â€śequidistantâ€ť)

My question is: in lmer, the inter-trial variance (level 1) is found in the residual. But in brms, no residual variance is produced. Am I right? Having done some reading (https://www.ncbi.nlm.nih.gov/pubmed/20569253), the level 1 variance is fixed for ordinal responses. Does this mean that (1) I cannot quantify inter-trial variance (e.g. using 1|SUBJ:SESSION:TRIAL) because it is fixed; (2) or can I quantify inter-trial variance?

Thank you for the kind help.

Kind regards,

Bernard