Abstract
Product tests can yield meaningful information about consumer preferences only when carefully planned and analyzed. This article presents an approach to preference analysis which seeks to reduce some of the difficulties in interpreting the results of product tests. The preference distribution concept is utilized as the organizing framework for a systematic pattern of paired comparison tests using product samples containing different levels of a particular attribute. The usefulness of the method is illustrated by a study of preferences for chocolate ice cream.
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