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= 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: 11 (90%)
=== Summary ===
1. Overall, how did the training program meet your expectations?
* Poor:
* Fair:
* Good:
* Excellent:
1. How would you rate the first day of lectures?
* Poor:
* Fair:
* Good:
* Excellent:
1. How would you rate the hands-on part of the program?
* Poor:
* Fair:
* Good:
* Excellent:
1. What did you like the best (multiple choice)?
* Support:
* Food:
* Weather:
* Expertise of the team: <
>
1. Would you recommend the training to your collaborators and colleagues?<
>
* EEG: 89%
* MEG: 41%
* MEG+EEG: 18%
* NIRS: 18%
* sEEG/ECoG: 11%
* Scripting: 26%
* Pre-processing: 37%
* Visualization of recordings: 41%
* Source analysis: 86%
* Time-frequency: 63%
* Functional connectivity: 44%
* Statistics: 22%
* Research: 59%
* Clinical applications: 7%
* Epilepsy: 0%
* Baby / infant studies: 0%
* BCI: 4%
== Comments and suggestions ==
The number indicates the number of participants who made similar comments.
=== 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