After completing my ACBC survey, I now want to get the attribute importances. I did the HB estimation three times: with price as linear, log linear, and piecewise. For linear and log linear, I only entered the min and max price, while for piecewise, I entered these two plus three additional prices inbetween the min and max prices.

The strange thing is, that the resulst for the attribute importances vary in each method.

Example:

Linear: attribute a is ranked 5th (4.73%),

Log Linear: attribute a is ranked 3rd (15.45%),

Piecewise: attribute a ranked 7th (3.91%)

(Including price, I have 7 attributes)

I'm very confused from my results and have trouble to interpretate them. Can you help me? When I do my analysis, which results do I have to use? The ones from linear, log linear, or piecewise?

I googled for university thesis to check how they interprete their data, but that didn't help either. I can't find something like a document that shows the step by step the standard approach on how to interprete the data. I understand the general difference between linear, log linear and piecewise price functions. I just don't know what to do with my results.

Thanks a lot for helping me.

I did the calculations as you recommended. Now there are only slight differences between linear, log linear, and piecewise (attribute a: 5.59% / 6.44% / 4.27%) ...

Looking at all attributes, between linear and log linear, the percentages changed as well, but the changes did not influence the ranking. However, the attribute ranking for piecewise is slighly different: attributes of rank 5 and rank 6 switched places. Is that normal?