Week 7 Instructor Q&A
Channel: ABCD-ReproNim Course
Date: 2021-01-19

Week 7 Instructor Q&A Webinar
Friday, January 15, 2021
Panelists: Drs. Deanna Barch, JB Poline, Angela Laird, David Kennedy, Satra Ghosh, Jessica Bartley, and ABCD-ReproNim Teaching Assistant Dr. Kristina Rapuano
Questions and answers asked during the Webinar can be accessed here: https://docs.google.com/document/d/1I4_bFKG4OJTR9sPm7F6mGR9ENrx-C5YbAG5GsnBEH5o/edit?usp=sharing

Contents:
0:00 - Introduction/Announcements

9:18 -  Thank you so much for the wonderful lectures! I am wondering how we can better interpret the self-reported data about children’s mental health. I wonder if we can trust the self-reported response about their own mental health, especially when the participants are children. 

11:30 - This is a more general question not particularly related to this week’s lecture. I wonder if the experiences of being periodically monitored fairly often and having periodical gatherings with their cohorts affect children’s development.

14:10 - Dr. Barch brought up the issue of needing to apply the same measures to conduct longitudinal analysis, but also not being able to apply the same assessments across the study due to developmental age making them inappropriate. Can one of you speak to how we can conduct longitudinal analysis on data that use different measures over time?

18:00 - Suppose we want to run a power analysis for a study we plan to do with the abcd data. My understanding is that power analysis should only be done with pilot data. But, if I’m not mistaken, we don’t have that for the ABCD study? So does that mean we should not run power analyses for studies we want to do with ABCD data?

20:10 - Are the socioeconomic status questions administered the same across each year? I expect the pandemic might be highly impactful for this.

22:30 -  I’m curious about whether parents/kids understand the gender/sex differentiation. These two terms are often conflated. How are the sex at birth and gender identity measures explored?

24:35 - Isn't post hoc power analysis just another way of doing null hypothesis testing?

26:10 -  How do we know if we are overfitting in our models? I imagine this is easy to do with the ABCD data because there are so many different measures we can include in our models.

31:12 - If I am interested in a explanatory model using linear regression, would it still be useful to split the data to see what generalizes? What more could I say about the results if they generalized versus if I just ran a regression on the entire dataset (no splitting).

33:00 - Apologies if this was mentioned in earlier lectures - where can we find the actual mental health assessments (e.g. the questionnaires they answered) that were administered to participants? Is that available for viewing?

34:50 -  Can you say more about how we’d practically go about estimating the odds ratio to calculate the PPV.

38:30 - Dr. Barch mentioned in her lecture that parents and kids don’t always agree on the mental health assessments - can you maybe speak to how we should think about this in our analyses?

43:15 - Do we have data on what medications the kids are taking and how consistently they take those medications for mental health disorders over time? I’m thinking about medication switching, dosages, etc

45:25 - You mentioned that the KSADs 1 module had an “autism like” measure that is not accepted as a diagnostic tool for autism and is therefore being switched out as you transition into the improved KSADs 2. Can you talk more about which diagnostic measures are accepted diagnostic tools and which are not?

47:15 - I’m curious if the kids are wearing their Fitbits consistently. And, more specifically, if they are wearing them at night. Do we have Fitbit sleep + sleep quality data from them?