I am currently working on my thesis and have found an non-significant interaction effect. I am wondering if it is "allowed" or "recomended" to visualize (graph) and explain/interpret the insignificant interaction effect with a simple slope analysis.
(The only effect that is significant is the main effect.)
Can someone plz help me?
Extra info:
I predicted that moderator C had a significant interaction on the relation between variable A and B.
But my multiple regression analysis showed that my interaction term is non-significant. How should i report this? Just in text or can I also visualize the insignificant interaction effect? (is this recommended or?)
Best Answer
This can be thought of more simply. Since you apriori thought that the slope of one variable might vary by the levels of another variable, stick with this more complex model throughout and plot the predicted values as a function of the two predictors, and include pointwise (or even better: simultaneous) confidence bands. You would have B on the y-axis, A on the x-axis, and C depicting different B vs. A relationships.
This is the 'estimation' point of view that gets away from many of the problems with hypothesis testing and significance.