Comments (3)
Total score of each subscale
- SGPQ
- Co-Presense questionnaire (It has only one subscale)
from hyperscanning2-redesign.
Sum subscale & combine into dataframe
- Sum score of each subscale of SPGQ
- Sum total score of SPGQ
- Total score of Co-Presence questionnaire
- Combine all data into a single dataframe
- This is only for averted_pre
from hyperscanning2-redesign.
Compare total score of SPGQ pre vs post
- It also compares total score of CoPresence
ToDo below please continue in #15 :- Need to add standard deviation score for each t-test
- T-test between subscale of SPGQ (pre vs post)
- Correlate CoPresense and SPGQ
- Correlate CoPresence and subscales of SPGQ
from hyperscanning2-redesign.
Related Issues (20)
- Mixed results HOT 1
- Notes : Running permutation in several screen of linux
- Process demographic data
- Function to calculate how many percentage of looking and not looking HOT 1
- Modules of eye tracker HOT 1
- Module of EEG HOT 9
- Module of Questionnaire HOT 2
- Viz-Remove x-axis and y-axis visualization of eye data
- Remove x-axis and y-axis visualization
- Viz-Add title of figure of plot
- Viz-Change no or info on legend of color bar HOT 1
- Viz-Capture the background for various eye conditions and put as overlay HOT 1
- Combine pre and post condition for visualization
- Create function to plot data of eye tracker into heatmap HOT 3
- Initialization of documentation using sphinx HOT 4
- Configuration of sphinx
- Documentation of phd_codes HOT 4
- Documentation of phd_codes HOT 2
- Correlational analysis between EEG connections and SPGQ score (After defense Revision) HOT 1
- Added function to calcuate 2 way repeated measures ANOVA
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from hyperscanning2-redesign.