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Your first script is correct if your alternatives are unlabelled, the second script is correct of your alternatives are labelled.

Examples of unlabelled alternatives of the same type (generic):
- Policy A, Policy B
- Treatment 1, Treatment 2

Examples of labelled alternatives of different types ...

Thank you so much Prof. Michiel,

I adjust the syntax using the same prior for both alternative:
Design
;alts = A*, B*, Neither
;rows = 12
;eff = (mnl,d)
;cond:
if(A.item=0, A.profit=0), if(B.item=0, B.profit=0)
;model:
U(A) = b1[-0.0554615] * profit[0,3,6]
+ b2[0.0538509] * item[0,3,6]
+ b3.dummy ...

There is no need to use the modified Federov algorithm since the default swapping algorithm also automatically avoids dominant alternatives between A and B. The swapping algorithm has as benefit that it maintains attribute level balance.

I also fixed two small errors in your script, namely I ...

There is no need to use the modified Federov algorithm since the default swapping algorithm also automatically avoids dominant alternatives between A and B. The swapping algorithm has as benefit that it maintains attribute level balance.

I also fixed two small errors in your script, namely I ...

Hi all,

I hope you are doing well. I am a Ph.D. student. I am currently doing a DCE as part of my Ph.D. In my DCE I have 6 attributes, each has 3 levels, and 3 alternatives (including the optout option).

Profit (0%, 3%, 6%)
Item sold (0%, 5%, 10%)
Ease of implementation (easy, natural, hard ...