choice-metrics.com

Hi Michiel

Great! Thank you very much for your time and advice.

Best wishes
Katherine

Hi Michiel

Thanks for that.

I replaced that:

design
;alts = mealA*, mealB*, mealC*
;rows = 36
;block = 3
;eff = (mnl,d,mean)
;bdraws = gauss(2)
;alg = mfederov(candidates = 1000)
;model:
U(mealA) = btaste.dummy[(n,0.38,0.08)|(n,0.20,0.08)]*taste[2,1,0] + btime.dummy[(n,-0.06,0.08)|(n,-0.33,0.08 ...

Hi Michiel

Thank you so much for your prompt reply.

Thank you for pointing out the constant - I had forgotten that unlabelled experiments shouldn't have constants so I have removed that.

The below design seems to work, which is great! Do you have any further suggestions or do you think this is ...

Hi Michiel

Thank you very much for your informative reply. I've tried to take on board your feedback in the design below, although I have a few follow up queries:

1. What did you mean by " Please use identical utility specifications for model estimation and design in order to be able to transfer ...

Hi all

I am very new to the design of DCE and so please bear with me.

I am looking to design an online DCE for approx. 500 individuals. I will have 5 attributes, each with 3 attribute levels and I would like to present 3 alternatives per choice task. I did a small pilot study in about 100 subjects ...