Disordinal interaction occurs when the effect of one independent variable on a dependent variable differs across levels of another independent variable, resulting in a situation where the interaction does not follow the expected pattern. This means that the influence of one variable can be stronger or weaker depending on the level of the other variable, leading to non-parallel lines in a graph of the interaction. Understanding this concept is crucial for interpreting results in a two-way ANOVA, as it highlights situations where simple main effects can differ significantly across groups.
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