Week 7
Interactions continued
Room Locations for the week
- On Monday, 2/19, we do NOT have class (President’s Day)
- On Wednesday, 2/14, we will be in RLSB 3A003 A
Resources
On Wednesday, 2/21, we will continue to look at the Interactions slides.
Lesson | Topic | Slides | Annotated Slides | Recording |
---|---|---|---|---|
11 | Interactions |
On the Horizon
HW 4 is due on Sunday (2/25)
Lab 3 is due Sunday (3/3)
Class Exit Tickets
Announcements
Wednesday 2/21
My office hours tomorrow are from 11am - 12pm
- I have a faculty meeting at 12pm
HW 4 is due on Sunday (2/25)
Lab 3 is due Sunday (3/3)
Next week is virtual!!
Muddiest Points
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