Case studies of industrial applications of the “M+N” classification method with larger M and N for visual and manual inspections

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• 作者：Carla Kuesten ; Amy Hou ; Jenny Wu and Jian Bi
• 刊名：Journal of Sensory Studies
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：32
• 期：1
• 全文大小：889K
• ISSN：1745-459X

文摘

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).