A 2017 JQT article presented a methodology for disentangling two-factor interactions that are aliased with other two-factor interactions in 2𝑘−𝑝$2^{k-p}$$2^{k-p}$ designs. The methodology is based on the concept of conditional main effects, and it resolves aliasing by considering active the confounded interaction whose estimated effect is similar to one of the main effects of the two factors that are involved in it. This paper shows that there is no justification for this choice and provides examples. The conclusion is that the proposed method may be useful for building parsimonious models, but in general, it is not appropriate for de-aliasing confounded two-factor interactions.

中文翻译：

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关于使用条件主效应去锯齿 2k-p 设计

2017 年 JQT 的一篇文章提出了一种方法，用于解开与其他双因素相互作用混为一谈的双因素相互作用。2𝑘 - 𝑝$2^{ķ-p}$$2^{k-p}$设计。该方法基于条件主效应的概念，它通过考虑活跃的混杂交互作用来解决混叠问题，该混杂交互作用的估计效应类似于其中所涉及的两个因素的主效应之一。本文表明，这种选择没有任何理由，并提供了一些例子。结论是，所提出的方法可能对构建简约模型很有用，但一般来说，它不适用于消除混杂的二因素交互作用。