Abstract
Discrimination tests in most situations will only allow the sensory specialist to determine that two products perceptibly differ from one another or not. In this chapter we describe the more familiar discrimination tests such as paired comparison, duo–trio, triangle, dual standard, and A-not-A, as well as less used tests such as ABX and sorting tests. Data analysis techniques for these tests are described in detail (binomial, chi-square, z-, and beta-binomial distributions). Additionally, we begin the discussion of the effect of statistical power in sensory tests—this is further discussed in Chapter 5 and the Appendix of the book. The need for replication in sensory discrimination tests and the analysis of these data are discussed. Lastly, we discuss the need for warm-up samples in certain situations and well as some common issues arising from the interpretation of the results of sensory discrimination tests.
Chance favors only those who knows how to court her.
—Charles Nicolle
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Lawless, H., Heymann, H. (2010). Discrimination Testing. In: Sensory Evaluation of Food. Food Science Text Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6488-5_4
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