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I am trying to run a dummy coded WTP-space MNL model using my DCE data. Although all my attributes have continuous levels, I am running a dummy coded model to test the linearity of estimated coefficients.

My DCE has the following attributes and levels:

1) Chance of diagnosis: 30% / 35% / 45% / 55 ...

Hi Michiel,

Thanks very much for your response. I have re-run my design with 3 blocks of 8 choice tasks, and added priors to the attributes and constants.

The -0.5019 coefficient on the 'wait' attribute should have been -0.05019, I was just missing a zero...!

Thanks again for your help!

Michael

Hi,

I recently ran a pilot study for my genetic testing DCE using the following experimental design:

design
;alts = alt1*, alt2*, sq*
;rows = 36
;block = 3
;eff = (mnl, d)

;alg=mfederov(stop = noimprov(3600 secs))

;require:
sq.Diagnosis = 30,
sq.Visits = 10,
sq.Time = 24

;reject:
alt1.Time=6 ...

I am trying to use dummy coding for the attributes in my DCE, and I'm wondering whether the order I list the levels in matters. For example, is:

b1.dummy[0.1|0.2|0.3] * Diagnosis[35,45,55,30]

The same as:

b1.dummy[0.1|0.2|0.3] * Diagnosis[30,35,45,55]

My DCE has three alternatives: A, B and ...

Dear Michiel,

Thanks very much for your advice on my experimental design.

I think I will go with Option B - if I understand correctly, this allows me to estimate both alternative-specific constants, ASCa and ASCb, without needing to randomise the order of alternatives? And also without needing to ...

Hi,

I am currently generating the experimental design for a genetic testing DCE. The attributes and levels are:

1) Chance of Diagnosis: 10% / 20% / 30% / 40%
2) Number of Clinic Visits: 2 / 4 / 6 / 8
3) Time waiting for results: 6 months / 1y / 2y / 3y
4) Cost to you: £0 / £1000 / £2000 / £5000 ...