We collected small sample of 22 records for CBC conjoint analysis (6 attributes by 4 levels design/15 tasks). I used results from HB estimates and imported into SMRT simulator, then I used the purchase likelihood in the simulation model.
The simulator results are not making any sense. For example, I run a product configuration with average attribute levels and end up with 87% purchase intent. But when I run a product configuration with the best attribute levels, it end up with only 81% purchase intent.
Is there anything we can do to “smooth out” the results or to adjust the results for the simulator?