Muddy Points
Lesson 12: Interactions, Part 2
Muddy Points from Winter 2025
Muddy Points from Winter 2024
1. Interactions in general
1.1 Why is it not an effect modifier if p-value is 0.4? Or why is it not significant? Is it because it is not = 0?
1.2 What are some reasons why we would think an effect modifier might exist in our data? or are we testing indiscriminately/ based on our own perspective of the associations in the data
1.3 I’m still not entirely sure I know how to do all the steps of interaction models, but I think part of that may just be me needing to look at my previous notes.
2. Centering the continuous covariate
2.1 How does centering help with interpretation?
I think this blog post has a nice explanation.
But for an example from our class… centering female literacy rate can help us interpret the… randomly stopped typing…