Course description
What will you learn:
- Origin and vision behind GGIR
- How to use GGIR and configure it to your research needs
- How to check your data quality with GGIR
- Ways to quantify body acceleration with GGIR
- Taking study protocol into account with GGIR, e.g. accelerometer sent to participant by mail and worn on the wrist.
- Physical activity assessment with GGIR, e.g. time spent in (bouts of) acceleration levels.
- Sleep analysis with GGIR, relevant also for physical activity researchers as it aids in separating daytime sedentary behaviour.
- How to interpret the GGIR output
- How to resolve problems or get answers to questions
- Test all your new knowledge by planning for the analysis of a real study in a group assignment.
For who:
- Anyone interested in using GGIR to process wearable accelerometer data.
- Basic R knowledge are advisable. If you have used R before please check whether your knowledge is sufficient by going through our short R tutorial (approximately 15 minutes). If you have never used R before or if you find the short R tutorial difficult, please follow an external introduction course to R.
Course structure:
- Day 1:
- Lecture: Introduction to GGIR
- Lecture: Data quality and basic behaviour description
- Individual exercise to write your own GGIR script
- Day 2:
- Lecture: Review GGIR output related to topics discussed on day 1
- Lecture: Introduction to sleep analysis
- Explanation of group assignment which is about planning the analysis of real study data
- Introduction round per group and start group assignment
- Day 3:
- Lecture: Sleep analysis continued
- Individual exercise to write your own GGIR script
- Work on group assignment
- Day 4:
- Lecture: 24 hour time-use analysis and related GGIR output
- Individual exercise to write your own GGIR script
- Day 5:
- Lecture: How to get help and how to contribute to GGIR
- Work on group assignment
- Short plenary presentations and discussion of group assignment work.
- Plenary course review
Requirements:
- A computer (macOS, Windows, Linux) with at least 5GB space to store files and process data. I do not use cloud services because I think it is important that you directly familiarise yourself with using GGIR on your own computer.
- Installed version of R and RStudio.
- A computer with working camera.
- Please be aware that GGIR is free software, I earn no money with the software as such. Turning off your camera and secretly attending the training with a group while only paying for one person will undermine our business model to sustain GGIR. Therefore, I ask you to keep your camera turned on for all sessions. If you forget or refuse to turn the camera on I will send you a reminder. If you keep having your camera turned off I will remove you from that day’s session and you are not entitled for a refund. Similarly, it is not permitted to record our training sessions.
- I expect you to make some effort to participate in the group assignment, which involves discussions with groups of 3 or 4 participants in break out rooms. I understand that not all of you are fluent in English. Our aim is to provide a supportive training environment where nobody has to feel afraid of speaking. The only way to improve your English is by trying to speak it. Note that communication via the Zoom chat is also possible. The standard training is in English.
Suggestions (not required):
- Working with two screens can be beneficial to follow the course on one screen and to try out GGIR on the other screen.
- Reserve 30 minutes in between the sessions to review slides and exercises from the previous session.
Training materials:
- Training materials can be found here. Please note that I typically update these materials in the weeks before the training.
Payment:
The payment process is explained in the GGIR training overview page.
Questions:
Do you have questions about the training or the booking process? Do not hesitate to contact me via: training@accelting.com.
Go to training materials
