Abstract An Microsoft Excel sample size and power calculator for sensory panels has been developed. The sample size tab calculates the amount of data to be collected when aiming to detect a predetermined difference between products (we recommend 10% of the scale) with 95% power. The statistical power tab calculates for a completed study the difference between products which can be detected with 95% power. Underlying methodology and the rationales for the choices made when constructing the calculator are discussed. It is argued that using the Benjamini-Hochberg procedure (Benjamini & Hochberg, 1995) is a good way of dealing with the problem of multiple testing, since it provides adequate protection against this whilst preserving power of the individual product comparison tests. Regarding the latter, it compares very favorably with the well-known Bonferroni and Tukey methods. It is argued that the difference between products which can be detected (the delta value) should be corrected for multiple testing. It is explained how the procedure is implemented in sample size and power calculation. The methodology is extended to consumer studies and to incomplete designs. The percentage of effective pairs is introduced, allowing for a direct comparison with a full sequential monadic design. Two examples of sensory panel studies are provided.

中文翻译：

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我们需要多少感官面板数据？

摘要 开发了用于感官面板的 Microsoft Excel 样本大小和功效计算器。样本量选项卡计算当旨在检测具有 95% 功效的产品之间的预定差异（我们建议 10% 的比例）时要收集的数据量。统计功效选项卡计算完成研究的产品之间的差异，该差异可以用 95% 的功效检测到。讨论了构建计算器时所做选择的基本方法和基本原理。有人认为，使用 Benjamini-Hochberg 程序 (Benjamini & Hochberg, 1995) 是处理多重测试问题的好方法，因为它提供了足够的保护，同时保留了单个产品比较测试的功效。关于后者，它与著名的 Bonferroni 和 Tukey 方法相比非常有利。有人认为，可以检测到的产品之间的差异（增量值）应该针对多次测试进行校正。解释了如何在样本量和功效计算中实施该过程。该方法被扩展到消费者研究和不完整的设计。引入了有效对的百分比，允许与完整的顺序一元设计进行直接比较。提供了两个感官小组研究的例子。该方法被扩展到消费者研究和不完整的设计。引入了有效对的百分比，允许与完整的顺序一元设计进行直接比较。提供了两个感官小组研究的例子。该方法被扩展到消费者研究和不完整的设计。引入了有效对的百分比，允许与完整的顺序一元设计进行直接比较。提供了两个感官小组研究的例子。