Search found 16 matches

by djourdain
Fri Sep 19, 2025 12:57 am
Forum: Support for Ngene Desktop (v1.x)
Topic: Fixed parameters
Replies: 1
Views: 14

Fixed parameters

I am trying to develop a design where people have gains/losses in t0, and gains/losses in t3. and other attributes. I created some attributes Y0gain, Y0loss, Y3gain, Y3loss. Given prospect theory (losses have greater disutility), and time preferences, each will have a common basis (the utility of ...
by djourdain
Mon Aug 13, 2018 1:20 pm
Forum: Support for Ngene Desktop (v1.x)
Topic: Coefficient for ASC in unlabelled design (Bayesian)
Replies: 2
Views: 8832

Re: Coefficient for ASC in unlabelled design (Bayesian)

Dear Michiel,

Thank you for this answer and advise

Damien
by djourdain
Fri Aug 10, 2018 6:48 pm
Forum: Support for Ngene Desktop (v1.x)
Topic: Coefficient for ASC in unlabelled design (Bayesian)
Replies: 2
Views: 8832

Coefficient for ASC in unlabelled design (Bayesian)

Dear All,

We are making a bayesian design with 2 alternatives + one status quo. We want to optimize the D-efficiency of a MNL formulation with a Bayesian formulation.

The code reads as follows:

Design
;alts = alt1*, alt2*, sq
;rows = 12
;eff = (mnl,d,mean)
;bdraws = gauss(2)
;model:
U(alt1 ...
by djourdain
Mon May 15, 2017 2:34 pm
Forum: General questions about choice experiments
Topic: Blocks and minimum numbers of rows
Replies: 4
Views: 18305

Re: Blocks and minimum numbers of rows

Thank you again! Damien
by djourdain
Fri May 12, 2017 11:32 am
Forum: General questions about choice experiments
Topic: Blocks and minimum numbers of rows
Replies: 4
Views: 18305

Re: Blocks and minimum numbers of rows

Thank you again for your prompt answer.

Is there a citable source that I can read and cite if needed for this aspect? (I am actually trying to address a reviewer comment who says the opposite and claim that my design is not appropriate for this reason). I was convinced that I was right (and you ...
by djourdain
Thu May 11, 2017 6:58 pm
Forum: General questions about choice experiments
Topic: Blocks and minimum numbers of rows
Replies: 4
Views: 18305

Blocks and minimum numbers of rows

Dear all,

I have a doubt about the minimum number of rows when doing a blocked design.

Suppose I want to make a design with 10 parameters to be estimated and two alternatives The number of parameter is high because of effects.coded variables.

Then the minimum number of rows is 10/(2-1) = 10 ...
by djourdain
Thu May 11, 2017 11:16 am
Forum: General questions about choice experiments
Topic: Use pivot with effect-coded attribute
Replies: 4
Views: 19511

Re: Use pivot with effect-coded attribute

Thank you for your help. Damien
by djourdain
Wed May 10, 2017 9:14 pm
Forum: General questions about choice experiments
Topic: Use pivot with effect-coded attribute
Replies: 4
Views: 19511

Re: Use pivot with effect-coded attribute (and follow-up)

Dear Michiel,

My turn to apologize for late reply, I had switched to another project and I am now back on this one.
Thank you for the nice explanations. It is now working properly.

In fact, I am developing something a bit more complex, and I have 7 attributes (5 continuous all with three levels ...
by djourdain
Tue Apr 04, 2017 5:17 pm
Forum: General questions about choice experiments
Topic: Use pivot with effect-coded attribute
Replies: 4
Views: 19511

Use pivot with effect-coded attribute

Dear all,

I have difficulties to use pivot with effect-coded attributes.
The following design result in an error:

Design
; alts = alt1, alt2, alt3
; rows = 8
; eff = (mnl,d)
; model:
U(alt1) = b1*coutH.ref[100] + b2*wMH.ref[10] + b3.effects*stabRev.ref[2] /
U(alt2) = b0 + b1*coutH.piv[-100 , 0 ...
by djourdain
Fri May 27, 2016 11:44 am
Forum: General questions about choice experiments
Topic: Efficient design with blocking - Deletion in 1 block
Replies: 2
Views: 13974

Re: Efficient design with blocking - Deletion in 1 block

Dear John,

Thank you for this very comprehensive and clear (and somehow reassuring) answer. I will look at the eval function more carefully that I had overlooked so far.

Best

Damien