choice-metrics.com

Hi there,
I'm trying to run an OOD design for a small choice experiment, consisting of 2 profiles, each consisting of two 3-level attributes and one 9-level attribute.

My code is below:
Design
;alts = alt1, alt2
;rows = 18
;block = 3
;orth = ood
;model:
U(alt1) = b0 + b1.dummy[0|0] * A[0,1,2] + b2 ...

Thanks!

Sometimes it is impossible to see what is right in front of your eyes.

I'm not sure if it is a bug in my code, or in the application.

When I try to produce an ood design with the following code, It appears to run, and finish normally but no design appears:

Design
;alts = alt1, alt2,none
;rows = 36
;orth = ood
;model:
U(alt1) = b1
+ b2.dummy[0|0] * A[0,1,2]
+ b3 ...

With the update to 1.0.2 this now seems to have been resolved. Thanks!

That's the solution that I eventually used. I just thought I should bring it to your attention, as it seems like a very strange bug.

With 32 rows, the problem is solved but as I've indicated in another thread, there seems to be a problem with estimating 6 4-level attributes in 32 rows. The first attribute gets assigned only 3 levels. I had to go to a 7X4 in 32 and drop one attribute.

Interestingly the 10att X 4level in 32 ...

Here is a straight forward orthogonal design in 32 rows. All 6 attributes are specified to have 4 levels. I've pasted the design below, and for some strange reason, attribute one only has 3 levels represented. What's going on?!

Design
;alts = alt1, alt2
;rows = 32
;orth = sim
;model:
U(alt1) =
b1 ...

Here is the syntax and design without specifying dummy[0|0|0]
Design
;alts = alt1, alt2
;rows = 13
;orth = sim
;model:
U(alt1) =
b1 +
b2* A[0,1,2,3] +
b3* B[0,1,2,3]+
b4* C[0,1,2,3] +
b5* D[0,1,2,3] +
b6* E[0,1,2,3] +
b7* F[0,1,2,3] +
$


It produced a 16 row design. As you can see for ...

Design
;alts = alt1, alt2
;rows = 19
;orth = sim
;model:
U(alt1) =
b1 +
b2.dummy[0|0|0] * A[0,1,2,3] +
b3.dummy[0|0|0] * B[0,1,2,3]+
b4.dummy[0|0|0] * C[0,1,2,3] +
b5.dummy[0|0|0] * D[0,1,2,3] +
b6.dummy[0|0|0] * E[0,1,2,3] +
b7.dummy[0|0|0] * F[0,1,2,3]
$

Provides the following design ...