Interaction Effects in ANOVA
interaction effects are present, it means that interpretation of the main effects is incomplete or misleading. Kinds of Interactions. For example, imagine a study that tests the effects of a treatment on an outcome measure. The treatment variable is composed of two groups, treatment and control. The
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www3.nd.edusignificant. Otherwise, main effects and interaction effects can get confounded. Further, it can be shown that, if main effects are not included, arbitrary changes in the zero point of the original variables can result in important changes in the apparent effects of the interaction terms.