Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Refine table: Columns and filters #8

Open
PBBlomquist opened this issue Aug 21, 2024 · 2 comments
Open

Refine table: Columns and filters #8

PBBlomquist opened this issue Aug 21, 2024 · 2 comments
Milestone

Comments

@PBBlomquist
Copy link
Contributor

No description provided.

@PBBlomquist PBBlomquist added this to the Index milestone Aug 21, 2024
@PBBlomquist
Copy link
Contributor Author

PBBlomquist commented Sep 23, 2024

Still need to clarify how basic/intermediate/advanced is identified, and better way of users finding what they need.
E.g. want to be clear on:

  • Method (there should be a column on this, e.g. linear regression)
  • Study design (there should be a column on this, e.g. cohort vs case control)
  • Difficulty - what does 'technical' mean? And methodological? Perhaps it should just distinguish between "Guided" and "Independent" rather than reflecting difficulty of the analysis itself - as those would already be clear from method + difficulty

One to consider with @alanahjansen

@PBBlomquist PBBlomquist changed the title Refine table: R/epi, aims Refine table: Columns and filters Sep 23, 2024
@alanahjansen
Copy link
Contributor

Regarding the methods, I think that any learning objectives that we have for this case study should be mapped to our learning objectives in the course catalog to determine the difficulty level. If they are similar to the Level I LO for example, then it should be considered 'basic'.

For example, linear regression is taught in our Level III stats course so should be considered Advanced. Descriptive statistics courses might be a bit harder to determine whether it's basic or intermediate though, especially if it's using R. We'll just have to take a close look at the expected course content for the Statistic courses in the course catalog.

As we move forward with the repository, we should identify what course LOs we have that don't have any associated case studies. This could help guide case study creation but that's a future idea!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants