I used Sawtooth Software Lighthouse studio 9.5.3 for a CBC with traditional full-profile CBC-Design plus None-option and with Balanced overlap. As response type I used discrete choice and I randomized the tasks for each respondent.

For my analysis I used just the HB-utilities in SPSS.

Now I have to describe the model. How do I figure out what kind of utility model and which probability of choice model the software used?

utility model: vector model, ideal point model or partworth-model?

probability of choice model: max-utility-model, random-choice-model, attraction-model or logit-choice-model?

(source: Backhaus, Erichson, Weiber (2015))

Thanks for your help!

Hannah

thanks for your answer!

I got the first step: I used the default settings in the software, that means I used the part-worth model. (So I use partworth utilities; my HB utilities are individual partworth utilities right?)

What ist the probability of choice model for?

I read that MNL is to aggregate data. Did I used then both MNL and Hierarchical Bayesian (HB) or is HB a version of MNL?

What does MNL do?

Greetings,

Hannah