A crossover interaction occurs when the effect of one independent variable on the dependent variable depends on the level of another independent variable, leading to different outcomes across groups. This type of interaction indicates that the relationship between variables is not consistent and may even reverse direction at different levels, highlighting the complexity in data interpretation and analysis.
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