I would like to run a partial profile conjoint analysis on 6 attributes. I prefer that trials be limited to 3 attributes each (so not to overwhelm the survey taker). Assuming the sample was big enough (each respondent gets 4 trials) and I had many responses of 3-attribute responses, can JMP 13 provide the results that I need to understand the desirability of the 6 attributes?
Hi, I'm new at this so if you have advice please provide:
From the Design Generation module, my inputs would be:
3 of 6 attributes can change
2 profiles per choice set
4 choice sets (trials) per survey
# surveys ..... this is what I need help with; how many pre-determined choice sets do I need to create
survey population: ~100 responses of a total survey population of 300
Right now, I've scripted choice sets to be created at random. However, I'm concerned that because there are so many possible random combinations, the data I receive might be too shallow. So, do I need to predetermine X number of choice sets and only deploy those?