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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: 1 * Excellent: 1 1 1 1 1 1 1 1 1 1 1 |
* Poor: 0% * Fair: 0% * Good: 16% * '''Excellent: 83%''' |
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* Poor: * Fair: 1 * Good: 1 1 1 1 1 1 1 1 * Excellent: 1 1 1 |
* Poor: 0% * Fair: 16% * '''Good: 58%''' * '''Excellent: 25%''' |
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* Poor: * Fair: * Good: * Excellent: 1 1 1 1 1 1 1 1 1 1 1 1 |
* Poor: 0% * Fair: 0% * Good: 8% * '''Excellent: 92%''' |
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* Support: 1 1 1 1 1 1 * Food: 1 1 * Weather: * Expertise of the team: 1 1 1 1 1 1 1 1 1 1 1 |
* Support: 58% * Food: 16% * Weather: 0% * '''Expertise of the team: 100%''' |
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* Yes: 1 1 1 1 1 1 1 1 1 1 1 * No: |
* '''Yes: 100%''' * No: 0% |
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=== Missing in the program: === * === Suggested improvements: === * |
* 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