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Great.
Thanks for the advice, Michiel.

Thanks, Michiel.
Sorry, I should have provided you with more details.

The DCE was an unlabeled DCE with 2 alternatives. It had 8 variables (1 ASC + 7 dummy variables).
The results of both MNL and mixed MNL were similar. And yes, when analysed with all the blocks, the results made sense.

Do you ...

Hi Michiel,

We are currently working on a project to evaluate the publication practices among researchers. The DCE has 6 attributes, with one attribute having 3 levels and the remaining attributes having 2 levels each. To create the design, we used a Bayesian d-efficient design with 24 rows blocked ...

Thank you very much for the clarification!

S

Hi Michiel,

Can a design generated from non-informative priors (I used small priors close to 0) be more efficient than a design derived from Bayesian priors sourced from a pilot study? In our study, the design using non-informative priors had a D-error of 0.1632, whereas the design with Bayesian ...

Great.
Thanks for the quick response, Michiel.

You can indeed consider adding additional ASCs to account for any order effects, but it is only possible to disentablge the constant for the optout and the ordering ASCs if you randomised the order in which the optout alternative was shown (e.g. for some respondents first and for other respondents ...