choice-metrics.com

Hi Michiel,

May I ask a few follow-up questions:

1. Previously you mentioned that, "If alt1 and alt2 are generic, then you would typically use b0 for both alt1 and alt2." Could you clarify whether "generic" here means that Treatment A and Treatment B are identical except for differences in ...

Hi Michiel,
Thank you for your help. That's mean it can also be written as the following if I am right. Thank you.

Design
; alts = alt1*, alt2*, alt3
; rows = 24
; eff = (mnl, d)
; block = 3
; model:
U (alt1) = b0[0] + b1.dummy etc /

U (alt2) = b0[0]+ b1.dummy etc /
$

Hi,
I would like to know for an efficient design with two alternatives plus one opt-out option, whether my specification to the code below is correct or not. Specifically, I want to clarify whether:
1. It is sufficient to specify "alt3*" in the first row.
2. It is appropriate to include constant ...

Thank you for your guidance, Michiel.

I will still include attribute 1 and attribute 2 in my main effects model estimation, as my attribute overlap is rotated. For example, each participant completes 10 tasks. In some tasks, attributes 1 and 2 are the same across Choice A and Choice B. In other ...

Hi Michiel,

1. Regarding point 1, I would like to clarify whether I need to interact items 1 and 2 with all of the other five items. Specifically, should I be interacting item 1 with item 3, item 1 with item 4, item 1 with item 5, item 1 with item 6, item 1 with item 7, and similarly, interacting ...

Hi Team,

I am creating a candidate set for the explicit partial design. My instrument has seven items, each with five levels. I want to overlap any two of the seven attributes between Choice A and Choice B for each task. Since there are 21 rotation overlap combinations (e.g., (item1, item2), (item1 ...