当仅对一个因子的水平进行排序时,检验双因子固定效应方差分析中的水平-程度交互效应

Pub Date : 2024-05-15 DOI:10.3390/stats7020029
J. C. W. Rayner, G. C. Livingston
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引用次数: 0

摘要

在检验主效应时,众所周知,在因子水平不排序的平衡设计中使用正交对比。在此,我们考虑双因素固定效应方差分析,其中一个因素的水平是有序的,另一个因素的水平是无序的。目的是将分解主效应的想法扩展到分解交互作用。为此,我们定义了水平系数,并使用置换检验法检验这些系数是否为零。这些检验可以清楚地揭示可能导致显著交互作用的原因,即使对于非平衡模型也是如此。
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Testing for Level–Degree Interaction Effects in Two-Factor Fixed-Effects ANOVA When the Levels of Only One Factor Are Ordered
In testing for main effects, the use of orthogonal contrasts for balanced designs with the factor levels not ordered is well known. Here, we consider two-factor fixed-effects ANOVA with the levels of one factor ordered and one not ordered. The objective is to extend the idea of decomposing the main effect to decomposing the interaction. This is achieved by defining level–degree coefficients and testing if they are zero using permutation testing. These tests give clear insights into what may be causing a significant interaction, even for the unbalanced model.
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