Sensory Difference Testing: The Problem of Overdispersion and the Use of Beta Binomial Statistical Analysis
2006
Lee, H.S. (University of California at Davis, Davis, CA, USA), E-mail: [email protected] | O'Mahony, Michael (University of California at Davis, Davis, CA, USA)
An increase in variance (overdispersion) can occur when a binomial statistical analysis is applied to sensory difference test data in which replicate sensory evaluations (tastings) and multiple evaluators (judges) are combined to increase the sample size. Such a practice can cause extensive Type Ⅰ errors, leading to serious misinterpretations of the data, especially when traditional simple binomial analysis is applied. Alternatively, the use of beta binomial analysis will circumvent the problem of overdispersion.
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