Comparative performance of the nine-point hedonic, hybrid and self-adjusting scales in the generation of internal preference maps

This study evaluated the performance of the nine-point hedonic, hybrid and self-adjusting scales in the segmentation of samples and consumers using MDPREF methodology. Overall acceptability of eight Cabernet Sauvignon red wines was evaluated by 112 consumers using the three scales mentioned above. Both the scale’s and the sample’s presentation order were balanced among the consumers. The data were analyzed by ANOVA, REGWQ test, MDPREF and permutation tests. Scales’ performance was judged using the following criteria: number of significant dimensions (p = 5%) in the MDPREF, number of significantly fitted consumers (p = 5%) and segmentation of the products and consumers. The MDPREF generated by the hybrid scale data produced the greatest number of significant dimensions (p = 5%), yielding 79.5% of significantly fitted consumers (p = 5%), while the MDPREFs of the self-adjusting and the nine-point scales fitted 54.5% and 51.8% of the consumers, respectively. Overall, the results indicated superiority of the hybrid scale over the traditional hedonic and self-adjusting scales.