Data Collection/Analysis

It's important we collect data in a consistent and reproducible way. This is facilitated through use of manuals and core code which are the same across projects.

Manual of Procedures (coming soon)

• Accelerometers

• GPS

• Direct observation

  • In-person

    • OSRAC-N

    • POS

  • Video

• SLIDE audit

Commonly Used Example Code (coming soon)

Coming soon on Kim's github.

Have an issue?

I'm more than happy to help figure out why equipment or code isn't working. Often, it is useful to have a minimal, reproducible example ("reprex").

• Describe the problem (what you want to happen versus what error you are receiving/what is actually happening)

• Describe what you tried to resolve the problem (including restarting the computer/program, reloading or updating packages, googling it, etc.)

• Be able to reproduce the problem. For example, provide data and code that, when run, reproduces the problem. Make this minimal, but reproducible. You probably only need one participant's data instead of trying to run the code on the entire sample. Remove extraneous steps/parts that are working that have nothing to do with the issue.