Is there a way to conduct a CBC study with large number of levels (150 or more)?
The task is to test 150–200 items , each of those may have 3 different price levels. As a result I need items rating and price elasticity for each item.
If there were less itemsm I would use plain CBC design with 2 attributes: «Price» and «Item», but it seems that this wouldn't work if the number of items is huge, even for large samples.
I'm also considering Maxdiff to rank the items, but it won't let me evaluate the price elasticity.
Maybe there is an alternative approach for such cases?