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Number of participants: 12<<BR>>Number of returned documents: 11 (90%) | Number of participants: 12<<BR>>Number of returned documents: 12 (100%) |
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* Poor: * Fair: * Good: * Excellent: |
* Poor: 0% * Fair: 0% * Good: 16% * '''Excellent: 83%''' |
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* Poor: * Fair: * Good: * Excellent: |
* Poor: 0% * Fair: 16% * '''Good: 58%''' * '''Excellent: 25%''' |
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* Poor: * Fair: * Good: * Excellent: |
* Poor: 0% * Fair: 0% * Good: 8% * '''Excellent: 92%''' |
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* Support: * Food: * Weather: * Expertise of the team: |
* Support: 58% * Food: 16% * Weather: 0% * '''Expertise of the team: 100%''' |
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* Yes: * No: |
* '''Yes: 100%''' * No: 0% |
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=== Comments about the workshop === * '''Good clarity: 12''' * '''Too fast at moments: 8 ''' * '''Too fast in general: 6''' * '''Good pace: 5 ''' * '''Too much for one day: 5 ''' * Good structure: 1 * More exercices, less demo: 1 === Missing topics and requests === * More discussions on the methods/parameters: 4 * Introduction to MEG: 1 * Theoretical background for all the steps: 1 * Importing pre-processed data: 2 * Export data to other programs: 1 * Combined MEG+EEG: 1 * More on statistics: 3 * More on scripting: 1 * More on source localization: 1 * Better overview of the software interface: 1 * Shorter software introduction: 1 === Missing tools in Brainstorm === * Interpolation of bad channels: 1 * Real-time analysis: 1 * Statistics: 4 * ICA : 1 * NIRS: 1 * Source estimation of TF data: 1 == Technical issues == * '''Out of memory errors with Win 32bit''' == Results analysis == === Results encoding === 1. 1=Never used, 2=Some simulation work, 3=Some experimental work, 4=Experienced user, 0=NA 1. How helpful: 1(worst) to 5(best), 0=N/A 1. Online tutorials before coming: 1=No, 2=Yes, 0=N/A === Results values === 1. 3 1 3 1 1 1 1 1 1 1 1 1 1 3 1 1 3 2 1 1 3 1 1 1 1 1 1 1. 5 4 5 4 3 4 4 3 4 3 4 4 5 4 0 4 5 4 4 4 5 0 4 4 4 4 4 1. 2 2 2 2 2 1 1 0 1 1 1 1 1 2 2 0 2 1 1 1 2 1 1 0 2 1 1 |
* Notify the accepted participants in advance: 2 * Prepare the groups in advance: 1 * Lecture day too advanced and too specific / would be better to extend training: 2 * Add lecture on differences EEG/MEG: 1 * More guidance/time in experiment design: 2 * Less time in experiment design: 1 * More time to test the paradigm before the acquisition: 1 * More time for advanced analysis (explain theory/parameters): 4 * Individual sessions with participants to answer specific research questions: 2 * Room too small: 1 |
MEG@McGill Training Program 2015: Survey
Full week training to learn everything about MEG: paradigm design, acquisition and advanced data analysis.
Survey results
Number of participants: 12
Number of returned documents: 12 (100%)
Summary
- Overall, how did the training program meet your expectations?
- Poor: 0%
- Fair: 0%
- Good: 16%
Excellent: 83%
- How would you rate the first day of lectures?
- Poor: 0%
- Fair: 16%
Good: 58%
Excellent: 25%
- How would you rate the hands-on part of the program?
- Poor: 0%
- Fair: 0%
- Good: 8%
Excellent: 92%
- What did you like the best (multiple choice)?
- Support: 58%
- Food: 16%
- Weather: 0%
Expertise of the team: 100%
- Would you recommend the training to your collaborators and colleagues?
Yes: 100%
- No: 0%
Comments and suggestions
The number indicates the number of participants who made similar comments.
- Notify the accepted participants in advance: 2
- Prepare the groups in advance: 1
- Lecture day too advanced and too specific / would be better to extend training: 2
- Add lecture on differences EEG/MEG: 1
- More guidance/time in experiment design: 2
- Less time in experiment design: 1
- More time to test the paradigm before the acquisition: 1
- More time for advanced analysis (explain theory/parameters): 4
- Individual sessions with participants to answer specific research questions: 2
- Room too small: 1