Two‐factor interactions, where the effect of one factor depends on the level of another factor, are common, and understanding them is often the key to solving quality problems or making process improvements using designed experiments. Resolution IV 2 ${}^{k-p}$ fractional factorial designs are efficient and require fewer experiments or runs than resolution V or full factorial experiments. However, two‐factor interactions are confounded with other two‐factor interactions in resolution IV designs and their effects cannot be separated. Follow‐up experiments have been recommended in the literature to separate the effects of significant but confounded strings of two‐factor interactions in resolution IV designs.

中文翻译：

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在2个IVk-p分数阶乘实验中，将条件主效应分析与用于分离混淆的双因素相互作用效应的后续实验分析进行比较

两因素交互作用很普遍，其中一个因素的影响取决于另一因素的水平，了解它们通常是解决质量问题或使​​用设计的实验进行工艺改进的关键。决议四2${}^{ķ-p}$分数阶乘设计比解析度V或全阶乘实验更有效，并且需要较少的实验或运行。但是，在决议IV设计中，双因素交互作用与其他两因素交互作用混杂在一起，它们的作用无法分开。文献中建议进行后续实验，以分离分辨率IV设计中重要但混杂的两因素相互作用串的影响。