We propose a new sequential hypothesis testing procedure in which data are collected and analyzed in a series of independent segments. As in fixed-sample hypothesis testing and in previous sequential procedures, the overall α level can be set to any desired value. Like other sequential procedures, the independent segments procedure generally requires smaller samples than fixed-sample procedures-often approximately 30% smaller-to achieve the same α level and statistical power. Relative to other sequential procedures, the new method has the advantages that it is simpler to use, requires fewer assumptions, and can be used with a wider array of statistical tests. Thus, in some circumstances the independent segments procedure may provide an attractive option for increasing the efficiency of statistical testing. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

中文翻译：

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一种简单、通用且有效的顺序假设检验方法：独立分段程序。

我们提出了一种新的顺序假设检验程序，其中在一系列独立的部分中收集和分析数据。与固定样本假设检验和之前的顺序程序一样，整体 α 水平可以设置为任何所需的值。与其他顺序程序一样，独立段程序通常需要比固定样本程序更小的样本——通常小约 30%——以达到相同的 α 水平和统计功效。相对于其他顺序过程，新方法的优点是使用更简单，需要的假设更少，并且可以用于更广泛的统计测试。因此，在某些情况下，独立分段程序可以为提高统计检验的效率提供有吸引力的选择。（PsycInfo 数据库记录 (c) 2020 APA，