Subscribe Bookmark RSS Feed

Partial profile conjoint analysis with JMP 13

cjerde

New Contributor

Joined:

Jun 15, 2017

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?

3 REPLIES
ian_jmp

Staff

Joined:

Jun 23, 2011

Take a look at the online documentation for Choice Models, specifically the design generation. If you don't have JMP you could get the trial version and walk through the examples to see how it fits your needs.

cjerde

New Contributor

Joined:

Jun 15, 2017

Thanks. This is very helpful.

cjerde

New Contributor

Joined:

Jun 15, 2017

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?

 

Thanks.