Case studies of industrial applications of the "M+N" classification method with larger M and N for visual and manual inspections. Issue 1 (25th January 2017)

• Record Type: Journal Article
• Authors: Kuesten, Carla; Hou, Amy; Wu, Jenny; Bi, Jian
• Is Part Of: Journal of sensory studies. Volume 32:Issue 1(2017)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-01-25
• Subjects: Sensory evaluation -- Periodicals; Food -- Sensory evaluation -- Periodicals; Food preferences -- Periodicals; 664.072
• DOI: 10.1111/joss.12245
• Languages: English
• ISSNs: 0887-8250

Abstract

Abstract: In recent sensory literature, Bi and Kuesten (2015a. Food Quality and Preference, 43, 47–52; 2015b. Journal of Sensory Studies, 30, 461–471) have proposed the "M + N" classification method with larger M and N (>3) for discrimination testing based on Fisher's exact test. Industry studies using the method are shared in this article to illustrate application of the method. The tests and measures are taken for non‐fatiguing visual and manual inspections conducted across a variety of product categories. Further, within the examples provided, a validation between labs is documented and results of the method are compared to results from other methods (2‐Alternative Choice and 2‐Alternative Forced Choice) based on common conventional sensory measurement Thurstonian d′ . Estimations are given of Intraclass Correlation Coefficient and Cronbach's coefficient alpha for evaluation of panel performance in the test using the "M + N" classification method with larger M and N (only for M = N > 3). Practical applications: Sorting methods are popular and often used for rapid investigation of product quality, product differences, or consumer perception and are used to help guide product maintenance and/or development efforts. The "M + N" classification method with larger M and N, a type of sorting technique, can be applied for sensory discrimination and perceptual tests with generation of various indices, including Thurstonian discriminal distance delta (or d′ ) thereby offering the ability to compare results with other sensory discrimination methods.