topic Re: Partial profile conjoint analysis with JMP 13 in Discussions

Partial profile conjoint analysis with JMP 13

cjerde — Fri, 16 Jun 2017 00:18:35 GMT

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?

Re: Partial profile conjoint analysis with JMP 13

ian_jmp — Fri, 16 Jun 2017 09:05:33 GMT

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.

Re: Partial profile conjoint analysis with JMP 13

cjerde — Fri, 16 Jun 2017 17:08:38 GMT

Thanks. This is very helpful.

Re: Partial profile conjoint analysis with JMP 13

cjerde — Thu, 29 Jun 2017 17:22:27 GMT

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.