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Dear Michiel,

Thank you very much for your answer.

I tried you suggestion to add (lower-upper) like you suggested (2-4,2-4,2-4,2-4) or even (1-5,1-5,1-5,1-5) to the design for the 4level attributes and (5-7,5-7) for the 2level attributes, this gave me the error:

[Modified Federov] ERROR: Unable ...

Dear all,
I have a question concerning abundance of levels in the design.

We are interested in the reasons for farmers to replace there current artificial fertilizer with a bio-based fertilizer. We have an experiment with 3 alternatives (2 alts+ status quo). Because we don’t have the ability to ...

Dear Michiel,

When I try your suggestion it works indeed, thank you very much.

This is indeed my first version that I have to test in a pilot study. Of some attributes I know the sign, I added uniform Bayesian priors.

The reason why I don't know the attribute level for some attributes of the ...

Dear Michiel,

The first option you gave looks more elegant indeed, but how will that increase the complexity of the design? Will this add to the rows needed?

The experiment will be used to estimate the acceptance of farmers towards new bio-based organic fertilisers as substitution of the current ...

Hello,

As what I understand from other forum questions and from the manual I could use cond; or reject; ? But this works for rows and I want to excluse all zero levels in the alternatives (this within one column)?

I there a way to exlclude a combination of attribute levels within one alternative ...

Dear NGene users,

In my design I have two alternatives (2 new types of bio-based fertiliser A and B) and a current artificial fertilizer use as status quo.
When I generate the scenario's I have for example the option with only levels 0 in alt 1 (in an other scenario alt2 has only levels 0):

alt1 ...

Dear all,

I am currently developing a choice experiment concerning the acceptance of farmers towards bio-based fertilizers, this experiment will be conducted in 7 countries in Europe.

We are planning to start with a orthogonal model for parameter estimation and later change to a D-efficient design ...