choice-metrics.com

Just to sum up this discussion: I can create heterogeneous designs (vie the eff-command) which have different numbers of alternatives for different respondents. All I got to know is the proportion of each group of respondents (to be used in the eff-command line) and the different model ...

I have a similar problem to the one described below - unbalanced numbers of alternatives. seperating the models via the eff command works fine in the situation below. However, if I want to have different attribute levels in each model I believe that this procedure will not work anymore. Is this ...

(i) Yes, with zero priors and using an orthogonal design ignores the attribute levels. So you will loose efficiency.
I've just tried to use a pivot design instead- in case I use all 7 segments and including fixed (or Bayesian) priors Ngene seems to be unable to find a design. Only in case I use ...

Why not using a pivot design with designs?

Because in a pivot design the attributes(e.g. Attr1.ref) of the reference alternative have to stay fixed, we thought that would be a disadvantage (the same question as in an earlier post by 'Kloddz' in march 2010). Also, I'm not sure how many different ...

Thank you very much! I understand your point about the priors and the choice tasks.
The remaining problem, I think, is that the values for the PP attribute (as those for PS/Horsepower) are just percentages, i.e. if PP is equal to 0.8 this means that the purchase price of the car will be 0.8 times ...

Hi again,

another question about the best choice regarding the priors. In our case the only priors we can make use of are estimates from other studies on the same topic (demand for alternative-fueled vehicles), there will be no pilot study. The problem with this is that the designs of earlier ...

Hi everybody!

I have some questions about the customization of attributes. The idea is the following: I would like to 'individualize' some of the attributes with personal information from the first part of the survey. To do that I used percentage values as attribute levels (for 2 attributes) in the ...