Attribute removal in efficient design

[rushdi98]

Dear Prof. Bliemer,

I hope you are doing well.

I am working on a study that extends a previous study by introducing nudging into the choice tasks. I have access to prior parameter estimates from the earlier study. However, one of the six attributes was found to be statistically insignificant.

I would like to ask whether it would be methodologically appropriate to remove this attribute from the experimental design and still generate an efficient design using the modified Federov algorithm based on the remaining attributes and priors.

I would greatly appreciate your advice on whether excluding the insignificant attribute would be reasonable in this context, or whether it should still be retained for theoretical or design considerations.

Thank you very much.

Kind regards,
Rushdi