I am running a very simple experiment. There are two different experiment groups, participants are randomly assigned. They have to make a simple binary decision in the experiment.

I have three control variables (demographics) about the participants that I still would like to control for.

I am using a logit regression model to predict participants' choice based on the group they were assigned to (a dummy variable) and the control variables.

A colleague of mine suggested that I might have to cluster the standard errors of the logit regression on the experiment group. Is that accurate?