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• W3043260421 abstract "Abstract The relative acceptability of a food or beverage is an important data point in many different scenarios. In humans, a nine‐point category scale is typically used when the hedonic characteristics of several products are of interest. However, these scales are not consistently used by participants and therefore reliability is low. This article outlines the effectiveness of four techniques (mElo, Thurstonian modeling, Bradley–Terry, and Friedman) to calculate numerical values for products based upon their performance in a paired preference paradigm. In this study, acceptance data from four separate studies were compared to numeric scores constructed from a paired preference paradigm. In general, numeric ratings constructed from paired comparisons correlated very well with the mean overall liking ratings. The relationship between these acceptance ratings and numerical preference ratings did show to be somewhat dependent on the type of food product. This study serves as a guide to those looking to further quantify paired preference data. Practical Applications Paired preference tests are simple and easy to understand for those who struggle with test instructions and numerical scales. However, in a multisample paradigm, sensory scientists have overwhelmingly chosen to use rating scales for a variety of reasons. This study shows the effectiveness of alternative data analysis techniques to extract numerical values for relative acceptance based on paired preference tests. This information could be used in the implementation of paired preference tests to replace traditional affective testing in groups that do not perform well with scales (e.g., children) or as an alternate analysis method for paired preference tests." @default.
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• W3043260421 date "2020-07-16" @default.
• W3043260421 modified "2023-09-26" @default.
• W3043260421 title "Estimates of relative acceptability from paired preference tests" @default.
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• W3043260421 doi "https://doi.org/10.1111/joss.12593" @default.
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