I have fitted a lognormal model in brms with two binary factors b_1, b_2, and a random effect on the intercept (like A ~ b_1 + b_2 + (1|id)), where id is a participant id. Now I would like to assess/interpret the effects of the random effect of the participants. Intra-class correlation seems to me like an intuitive way to analyze the consistency among participants.
Using sjstats package (@strengejacke), I have computed the intra-class correlation coefficient (ICC) using the median (parameter
typical), and got a result which is estimated to 0.26, 95%-HDI [-0.55, 0.76].
- Is this a reliable ICC estimate, i.e. can I report the estimate (and interpret it) and can I compare it to ICCs of other models?
- Is there a way to interpret the large HDI which is even spread to negative values?
- Operating System: Ubuntu 16.04 LTS
- brms Version: 2.6.0