Dear all,
Three years ago, we created a Bayesian D-error efficient design (after piloting it for the priors) on consumers' preferences for E-waste recycling.
The data generated from this design was analysed via mixed-logit.
The Journal which research paper is under review with, have asked to repeat the experiment (as back then, the law enforcing E-waste recycling was new).
The prices have remained the same and so are the options (labelled)..
My question is should I use exactly the same design? Or is it better to update it based on the mixed-logit coefficients obtained, and create new experimental design wherein these coefficients serve as priors.
My main purpose is to have the best basis for comparison with the previous experiment..
Any help will appreciated,
Anat