Hello,

As we understand from the NGene manual, it does not directly provide a fractional factorial model built upon a specified resolution to determine the number of unique choice sets needed for a desired resolution level. Instead, it offers a fractional factorial design where we provide the number of choice sets, and it returns a D-efficient/A-efficient design based on this constraint.

We have 8 attributes with an average of 3 levels each. We aim to handle both first-level and second-level interactions. To create a discrete choice experiment in NGene, we need to determine the number of choice sets required to run the algorithm. Could you please recommend a method to determine the appropriate number of choice sets to provide to NGene in order to achieve a D-efficient or A-efficient design?

Thank you very much for your time and assistance!

Beyza