Linking Hierarchical Conjoints with Hierarchical Bayes Regression

Kurz P., 2005 – SKIM Conference – Amsterdam 2005

How can hierarchical conjoint designs be combined with hierarchical Bayes regression to ensure valid results when analyzing many attributes?

By combining micro and macro conjoint models through hierarchical Bayes techniques, consistent and scalable preference models can be created even with large attribute sets.