In the event that an interaction effect is discovered in an ANOVA, statistical tests are performed to define it.
Overall, these three approaches—the J-N technique, the Gardner et al. typology, and basic slope tests—can each offer some helpful interpretation of an interaction effect.
An analysis of variance with more than one independent variable is known as a factorial analysis of variance (abbreviated FANOVA). A substantial interaction effect between two or more independent factors and a single dependent variable is tested using the FANOVA.
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