Contents
What does a statistically significant interaction mean?
A significant interaction effect means that there are significant differences between your groups and over time. In other words, the change in scores over time is different depending on group membership.
What is an alpha error?
Alpha error: The statistical error made in testing a hypothesis when it is concluded that a result is positive, but it really is not. Also known as false positive. CONTINUE SCROLLING OR CLICK HERE.
When is an interaction term statistically significant?
If the interaction term is statistically significant, then the differences between the slopes for the variables included in the interaction term are statistically significant. With an R-squared that high, be sure that you’re not overfitting your model.
When do you ignore interaction effects in statistics?
When you have statistically significant interactions, you cannot interpret the main effect without considering the interaction effects. Given the intentionally intuitive nature of our silly example, the consequence of disregarding the interaction effect is evident at a passing glance.
Is the interaction effect of condiments statistically significant?
Download the CSV data file to try it yourself: Interactions_Categorical. The p-values in the output below tell us that the interaction effect (Food*Condiment) is statistically significant. Consequently, we know that the satisfaction you derive from the condiment depends on the type of food.
How are independent variables affected by interaction effects?
In more complex study areas, the independent variables might interact with each other. Interaction effects indicate that a third variable influences the relationship between an independent and dependent variable. This type of effect makes the model more complex, but if the real world behaves this way, it is critical to incorporate it in your model.