I am currently using a mixed binomial model with the following specification in a paper I recently submitted (using
X2 are binary predictors
However, a reviewer has asked me to also include a random-effects probit model for the same analysis. What is the difference between a mixed effects model and a random effects model? Am I correct in thinking that a random-effects model would have no fixed effects and would thus be specified by:
If so how do I interpret the output. All I get is the Std.Dev. for each random effect.
Alternatively does it refer to a model where I would have a random slope for each of my predictors like: