choice-metrics.com

Hi John

Thanks for the quick reply, the paper is very helpful!

Andrea

Dear Michiel

In your first response to my thread (question 5) you recommended me to ask two questions to get sufficient data from the experiment. I did that and got great results by using a combined choice variable (Rho-square increased by a factor of 10 compared to the first-choice only model). Is ...

Thanks - I found one or two 32.x-33.x-33.x% values and wasn't sure about the interpretation, but most of the values are completely ok.

You are right about the forest attribute, I noticed my mistake the next day (working late is not always the best idea). The original forest priors are fine. The ...

Dear Michiel,

Thanks a lot, your answers were very helpful.I have some following questions:

2. Actually I meant "maximum utility balance", sorry. As far as I know, a utility balance of ca. 70-90% would be ideal. The design I generated has a value of >95, so I was concerned that this would make it ...

Dear all,

I am creating an efficient MNL model based on the priors of a pilot study (orthogonal MNL):


;alts = scen1*, scen2*, none ? scen1* => * means alternative is generic!
;rows = 16 ?32
;block = 2 ?4
;eff = (mnl,wtp(wtp1))
;wtp = wtp1(*/b_cos)
;model:
U(scen1) =
b0[0.5] +
b_for[-0.00639 ...

Hi John

Thanks for your help, now it works perfectly! I did use the right data format (without headers though), but did not uncheck "with column headers" in the session options. Beginner's mistake...

Cheers,
Andrea

Dear all,

I am trying to block an existing orthogonal design ( http://www2.research.att.com/~njas/oadir/oa.32.9.4.2.txt ) with Ngene. I deleted the 9th column of the existing design (I need only 2x4 attributes) and used the following syntax:

? This will block an orthogonal design with 32 choice ...