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Thurstonian Scaling for Sensory Discrimination Methods
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Version 1
: Received: 29 September 2024 / Approved: 30 September 2024 / Online: 30 September 2024 (05:39:21 CEST)
How to cite: Bi, J.; Kuesten, C. Thurstonian Scaling for Sensory Discrimination Methods. Preprints 2024, 2024092372. https://doi.org/10.20944/preprints202409.2372.v1 Bi, J.; Kuesten, C. Thurstonian Scaling for Sensory Discrimination Methods. Preprints 2024, 2024092372. https://doi.org/10.20944/preprints202409.2372.v1
Abstract
Thurstonian scaling, i.e., Thurstonian discriminal distance δ or d' can be used as a sensory measurement index to measure and monitor food sensory difference/similarity between test and control samples due to potential food contamination. It can be obtained from any one of the sensory discrimination methods. Thurstonian scaling is theoretically independent of methods or scales used for its estimation. This paper discusses statistical inference including estimations and tests of hypothesis for d'. Ten basic sensory discrimination methods including 6 forced-choice methods and 4 methods with response bias are used in this paper to estimate d' values and their variances. Statistical tests are conducted based on the estimated d' values and their variances. The statistical tests include difference testing and equivalence/similarity testing for individual d' values for test and control samples and for two or multiple d' values for test samples. Application and significance of Thurstonian scaling for sensory discrimination methods is discussed generally. R codes for estimations and tests for d' values are provided in the paper.
Keywords
sensory discrimination methods; Thurstonian discriminal distance d'; statistical inference for d'; difference testing; equivalence/similarity testing
Subject
Social Sciences, Behavior Sciences
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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