Actually I have two questions:

1) I read your technical paper about including covariates but I am still not sure how to interpret the alpha-file with more than one continuous covariate. I burn the first 10.000 draws, calculate the mean of the remaining draws for the intercept, the covariate environmentalism and Status consumption and each level. I also check the face validity of the covariates. Am I right up to this point?

Is it right to say interpret each covariate isolated, as if the other one is not existing?

Let’s say the value for Level A and covariate Environmentalism is -0,6 and for the covariate status consumption I have +0,5. Is it right to say something like that: ”If a respondent has a higher degree of environmentalism, the part-worths of level A decreases for that respondent..” That would the same interpretation as in your paper about covariates. Or do I have to take the Status Consumption into account?

2) Is it possible to deal with seven point likert scales as continuous variables, when including them in my HB/CBC run?

Thanks for your help!

Best regards,

I now normalized my covariates, which were a result of the Likert Scale. I also checked them for multicolinearity: they are independent!

But I have one further question:

I want to include one more covariate, which I received from an open-end question. The question was, how many cars the respondent owns. The answers range from 0 to 15.

Would you recommend to normalize this data as well?

Best regards, Martin