= MEG workshop survey: Montreal 2017 = == Selected comments from attendees == * ''It was great interacting with the authors and understanding the very many possibilities.'' * ''Great job!'' == Survey results == Number of participants: 12<
>Number of responses: 7 (58%) === Summary - Lecture Day === 1. Please rate how you found each of the lectures: * The physiological origins of scalp signals: Sylvain Baillet: * Very useful: 86% * Nothing new: 14% * Basic signal extraction: ERP/ERFs, Jeremy Moreau * Very useful: 86% * Somewhat useful: 14% * Spectral analysis, Peter Donhauser * Very useful: 57% * Somewhat useful: 29% * No comment: 14% * Source imaging 101: Christophe Grova * Very useful: 86% * Somewhat useful: 14% * Keynote : Dimitrios Pantazis * Very useful: 72% * Somewhat useful: 14% * Nothing new: 14% * The Functional and Effective Connectivity, Sylvain Baillet * Very useful: 72% * Somewhat useful: 14% * No comment: 14% * Applications of MEG and MSI, Jeremy Moreau * Very useful: 29% * Somewhat useful: 29% * Nothing new: 29% * No comment: 14% 2. Please rate how you found the poster session: * Very useful: 29% * Somewhat useful: 57% * No comment: 14% 3. How did you like the venue and catered breaks: * Met Expectations: 86% * Neutral: 14% === Summary - Hands-on === 1. Please rate how you found the lecture: Intro to MEG instrumentation and Paradigm design: Beth Bock * Very useful: 86% * Somewhat useful: 14% 2. Please rate your experience with paradigm design [Your group]: * Excellent: 44% * Good: 28% * Average: 28% 3. Please rate your experience with paradigm design [Resources (computer, software, etc)] * Excellent: 86% * Good: 14% 4. Please rate your experience with paradigm design [Expert assistance] * Excellent: 100% 5. Please rate your experience with paradigm design [Time] * Excellent: 44% * Good: 44% * Average: 12% 6. Please rate your experience with data recording [Beth's instructions] * Excellent: 100% 7. Please rate your experience with data recording [Time] * Excellent: 86% * Average: 14% 8. Please rate your experience with data analysis [Francois' instructions] * Excellent: 100% 9. Please rate your experience with data analysis [Resources (computer, software, etc)] * Excellent: 100% 10. Please rate your experience with data analysis [Expert assistance] * Excellent: 86% * Good: 14% 11. Please rate your experience with data analysis [Time] * Excellent: 72% * Good: 14% * Average: 14% 12. How did you like the venue and catered breaks? * Met Expectations: 86% * Neutral: 14% 13. Would you recommend the course to your colleagues? * Yes: 100%