Academic Journal
Enhanced reliability in subjective meat color data: A comparative study of Bayesian ordinal vs. frequentist metric methods.
| Τίτλος: | Enhanced reliability in subjective meat color data: A comparative study of Bayesian ordinal vs. frequentist metric methods. |
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| Συγγραφείς: | Guo Y; Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID 83844, United States., Piaskowski J; Statistical Programs, College of Agricultural and Life Sciences, University of Idaho, Moscow, ID 83844, United States., Bass P; Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID 83844, United States. Electronic address: pbass@uidaho.edu. |
| Πηγή: | Meat science [Meat Sci] 2026 Oct; Vol. 240, pp. 110157. Date of Electronic Publication: 2026 Jun 30. |
| Τύπος έκδοσης: | Journal Article; Comparative Study |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Elsevier Country of Publication: England NLM ID: 101160862 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4138 (Electronic) Linking ISSN: 03091740 NLM ISO Abbreviation: Meat Sci Subsets: MEDLINE |
| Imprint Name(s): | Publication: <200?>- : Oxford : Elsevier Original Publication: Barking, Essex, Eng., Applied Science Publishers |
| Ιατρικοί όροι (MeSH): | Red Meat*/analysis , Red Meat*/standards, Bayes Theorem ; Animals ; Color ; Cattle ; Reproducibility of Results ; Models, Statistical ; Humans ; Analysis of Variance |
| Περίληψη: | Ordinal scales are commonly used in subjective meat color evaluations. Although these data appear numeric, they represent ordered categories and analysis with metric models may lead to type I and II errors. This study used a set of trained panel beef subjective color data to demonstrate the application of ordinal models under the Bayesian framework and to compare them with the metric frequentist methodology. Rather than using null hypothesis significance testing and P values from ANOVA, the Bayesian framework allows direct evaluations of pairwise hypothesis through posterior probabilities. Results indicate that averaging observations across panelists resulted in information loss regardless of the statistical approach, thus suggesting evaluators should be modeled as a random effect. The metric ANOVA showed a retail day by location interaction for color uniformity (P = 0.008) and post hoc tests detected no location differences until day 3. Pairwise hypothesis testing using the Bayesian ordinal models was subsequently conducted to directly evaluate the location effect on day 3, and the results supported a location difference consistent with the metric post hoc comparison. Despite similar findings between the methodologies for color uniformity, ordinal models remain more appropriate because they respect the ordered categorical structure of ordinal data. The Bayesian framework provided probabilistic inferences from the posterior distribution, offering results that are more intuitive and informative for interpretation and decision-making. (Published by Elsevier Ltd.) |
| Competing Interests: | Declaration of competing interest The authors declare that they have no conflict of interest with any organization regarding this manuscript. |
| Contributed Indexing: | Keywords: ANOVA; Bayesian analysis; Meat subjective color; Metric models; Ordinal models |
| Entry Date(s): | Date Created: 20260702 Date Completed: 20260708 Latest Revision: 20260708 |
| Update Code: | 20260709 |
| DOI: | 10.1016/j.meatsci.2026.110157 |
| PMID: | 42391817 |
| Βάση Δεδομένων: | MEDLINE |
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