2. Assume a grid of 6 attributes, 3 of which have 4 and 3 of which have 3 levels.
3. Using CVA, I am curious as to the minimum number of tasks one would recommend for HB per respondent.
4. I am potentially considering a "1-7" likelihood to use the product on the CVA screen.
I have read the manual on p.806 and also searched the forum. I understand that HB can be done on "large samples" with a sparse design; I understand that the number of tasks/ respondent is (generally agreed) to be very robust (in that it seems to be overkill) if one uses what lighthouse would like you to do.
In the manual and on some sources, I see some statements that "a minimum of 6 tasks" could work for HB if sample is large enough. However, I have yet to figure out what is "large enough." The example in the manual is 500, 1000 and 1500 respondents, for example.
I believe the answer to this is probably somewhat murky in that I believe that it is sort of chicken and the egg: if the attributes and levels tend to lend themselves to a clear winner and obvious trade-offs, the analysis could stabilize with fewer respondents.
However, I would appreciate if anyone has any insight as to going into this without any a priori knowledge of what may come out of the CVA-- what would be the minimum recommended number? Is there a way to understand the benefit of 6 tasks vs. 7 vs. 8, if one chooses a sparse design?