Query regarding the experimental design and attribute levels
Posted: Wed Feb 25, 2026 3:12 pm
I am currently setting up the experimental design in the program.
Upon checking the life-year outcomes after a test run, I noticed that the comparisons seem limited: for instance, "1 year" is only compared with "10 years," and "2 years" is only compared with "5 years." Could you let me know if this is intended, or if there is an issue with the program logic?
I am concerned that only comparing 1 year with 10 years might be problematic. To resolve this and ensure a better distribution of comparisons, I am considering changing the structure to two blocks of 30 questions each.
In your opinion, which approach would be more appropriate for this experimental design?
Best regards,
Code: Select all
Design
;alts = alt1*, alt2*
;rows = 12
;eff = (mnl, d)
;alg = swap(stop = noimprov(3 mins))
;model:
U(alt1) = b1.dummy[-0.001|-0.002] * A[1, 2, 0]
+ b2.dummy[-0.001|-0.002] * B[1, 2, 0]
+ b3.dummy[-0.001|-0.002] * C[1, 2, 0]
+ b4.dummy[0|0] * D[1, 2, 0]
+ b5[0.001] * E[1, 2, 5, 10] ?life-year
/
U(alt2) = b1 * A + b2 * B + b3 * C + b4 * D + b5 * E
$I am concerned that only comparing 1 year with 10 years might be problematic. To resolve this and ensure a better distribution of comparisons, I am considering changing the structure to two blocks of 30 questions each.
In your opinion, which approach would be more appropriate for this experimental design?
Best regards,