Hi all,
I am trying to compute a minimum required sample for conjoint experiment where every participant sees each attribute combination represented in a profile. I am planning for four to five attributes that can be represented binarily, so 2x2x2x2(x2) = 16(32) profiles.
Unfortunately, all sample size calculations refer to choice-based conjoint experiments that have participants select one favourite out of a set of profiles.
Any idea for an actual formula for this type of conjoint experiment that includes targeted standard errors and such?
I am familiar with this threat and related sources but find them insufficient
https://www.researchgate.net/post/What_should_be_the_minimum_sample_size_for_Conjoint_Analysis
Thanks in advance!
Conjoint analysis is simply anova. I would check that literature. It should be easy to find
It depends on the scenarios which you are going to the respondents. Go to:
" Orme BK. Getting started with conjoint analysis: strategies for product design and pricing research"
I encourage you to use the method that I initiated in DCE.
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