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Do you report main effects if there is an interaction?
You should report both the main effects and the Interaction. Once there is a significant interaction then the main effects could be hidden or distorted due to the interaction with the second independent variable.
What is a main effect and interaction?
In statistics, main effect is the effect of one of just one of the independent variables on the dependent variable. An interaction effect occurs if there is an interaction between the independent variables that affect the dependent variable.
Do You Still Look at the insignificant interaction term?
I thought that after looking at the (insignificant) interaction term in the output, there is no need to investigate further. Would the conclusion/interpretation change if _all 11_ values (not just 3-8 but 1-11) were significant, while the main interaction term in the multivariate regression remains insignificant?
Why is the interaction term not statistically significant?
The failure of the interaction term to achieve statistical significance may be due to the actual absence of effect modification. But it also may reflect inadequate sample size, inadequate variation in either X or Z, or too much noise in the outcome measurement.
Is the interaction term insignificant in multivariate regression?
Would the conclusion/interpretation change if _all 11_ values (not just 3-8 but 1-11) were significant, while the main interaction term in the multivariate regression remains insignificant? The answer depends on your specific problem and context.
Can you conclude the existence of an interaction?
You can’t conclude that your analysis affirms the existence of an interaction. They don’t. But the non-significance of the interaction term doesn’t exclude that possibility either, unless you can rule out all the other reasons why the interaction term might not attain statistical significance.