What does a significant interaction imply in research findings?

A significant interaction in research findings indicates that the effect of one variable on the outcome is influenced by the level of another variable. This means that the relationship between these variables is not straightforward; instead, it is conditional. For example, when examining how a particular treatment affects different age groups, a significant interaction would suggest that the treatment works differently across ages—perhaps it is much more effective for younger individuals compared to older individuals or vice versa.

This interplay between variables is crucial in research as it sheds light on the complexity of relationships, indicating that a simple main effect cannot fully capture the dynamics at play. Therefore, a significant interaction helps researchers to understand the nuanced ways in which variables interact and influence outcomes, thereby providing a deeper insight into the phenomenon being studied. Understanding these interactions is essential for effective interventions and decision-making in evidence-informed practice.