choice-metrics.com

Hi Michiel,

Thank you for clarification. I have two more questions and would be pleased if you could answer :)

1- If a parameter has an unexpected sign, do you recommend using a uniform distribution as Baysian priors for that specific attribute?

2- When shrinking all parameters by a factor, do ...

Thank you Michiel.

I estimated a latent class model and as you mentioned people attached both positive and negative values to this attribute.

Best, Nasrin

Dear all,

I have an attribute in my design which can get both negative and positive direction, depending on respondents preferences. The attribute is "life expectancy before treatment" and in the pilot study I coded the attribute as dummy and with priors very close to zero (b3.dummy [0.0004|0.0002 ...

Dear all,

I designed a pilot choice experiment and used very conservatives priors based on expert opinion- for example 0.0001 for a level of attribute X.

I collected data and obtained priors from the pilot study. Should I feel comfortable using priors from the pilot in the main study?- for example ...

Dear all,

I am going to investigate if general public preferences is different from decision-makers. Until now, I designed an experiment with blocks, each having 8 choice scenarioes and 2 alternatives for the general public.

Given that number of respondents in decision-maker group is much less ...

Dear all,

I have designed an experiment with 6 blocks and sent it to some people as part of pilot study. As I remember the recommendation was to include about 100 respondents in pilot study. I wonder if in my case I will need about 100 people per block?

Thank you so much for your help!

Best, Nasrin

Dear Michiel,

I am trying to generate a partial choice set design using your series of spreadsheets that create candidate sets for a partial choice set design.

In your spreadshits you mention that unavailable attribute levels should be defined in case of partial choice sets and at least one ...

Dear Michiel,

Thanks for your help. I will try creating an external candidate set for the partial profile design.

With regard to your comment, age and the other two patient characteristics (QoL if un-treated and Life expectancy if un-treated) are not scenario variables. These are attributes that ...

Dear Ngene users,

I am going to design a CE to study preferences for treatment. In my design, I have 3 attributes related to patient characteristics (age, quality of life and life expectancy), and 2 attributes related to treatment characteristics (effect of treatment and risk).

I am going to ...

Dear Michiel,

Thank you so much for your feedback, which is very clear and helpfull

Best, Nasrin