Technical Report: Replicated Preference Testing to Diagnose Consumer Segmentation

In blind consumer preference testing, con-sumers do not always make consistent choices. This situa-tion will most likely occur when the products tested are similar or exhibit significant variability. The variability may arise from the products themselves, called stimulus variability, or from consumer perception of the products, called neural variability. Consistency in preference responding can inform the degree of segmentation among consumers. Diagnostics for degrees of preference segmentation can be valuable before conducting a large-scale category appraisal. A useful, simple diagnostic for preference segmentation was discussed in a previous technical report on identicality norms. In that report, it was shown that preference segmentation can be diagnosed by comparing preference counts, obtained from a ballot with a no preference option, to expected results if the products are identical. In the same report it was also shown how to establish identicality norms by conducting preference tests on identical products or by predicting the norms using a Thurstonian model of two-alternative choice data. A different way to study potential segmentation is to use replicated testing, which is the subject of this technical report.

This technical report appears as:
Ennis, D. M. (2017). Replicated Preference Testing to Diagnose Consumer Segmentation. IFPress, 20(4) 3-4.

Colleagues can download this technical report here:
Replicated Preference Testing to Diagnose Consumer Segmentation

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