Predicting Preferences on Experimental Bundles of Attributes: A Comparison of Models

Abstract

This study tests the ability of various models to predict individual preferences on stimuli defined by physical characteristics. Within all models, metric routines were found to be superior to nonmetric routines. Across models, differences in predictive ability were not found to be great compared to pragmatic or theoretical differences.