I'm running a CBC exercise. I have run the HB model and there is a small fraction of respondents with low RLH values.
Since my exercises had 2 product options plus a none, there is a ~50% chance you could guess right in predicting their behavior if you knew nothing about them. So the target RLH for randomness would be 50%.
I have since moved on to running latent class analysis, but I was concerned before I did that that I would not be able to remove the respondents who had RLH in the 50s or 60s (i.e. the HB model has not done much better than random).
Is there a way to create a filter or set an option (I'm running Lighthouse Studio 9.11) that would exclude respondents with an RLH below a certain cutoff value?