Guide to the files in the repository:
**procedure/** - files related to running the experiment
- **procedure/sem_upd.py** - PsychoPy script used to run the procedure
- **procedure/2019.12.03 - sem upd\*.txt** - materials (sentences and conditions) used by the PsychoPy script
- **procedure/instruction2.docx** - instructions for the participants
- **procedure/test\*.docx** - post-eeg-session test
**analysis/** - analysis & results
- **analysis/preprocessed segments/** - if you want to reproduce the entire analysis (i.e. including artifact rejection and cluster-based permutation tests), upload here files available from Harvard Dataverse repository
- **analysis/post-ica segments/** - this directory fill be populated by "artifacts public.R" script
- **analysis/ica/** - mixing/unmixing matrices from AMICA + IC scalp distributions for each participant
- **analysis/artifacts public.R** - script doing artifact rejection & ICA correction. Requires files in "analysis/preprocessed segments/" directory
- **analysis/analysis public.R** - script running all analyses and generating all figures
- **analysis/functions public.R** - helper functions
- **analysis/icas.xlsx** - manually identified IC channels related to EOG/muscle/single-electrode artifacts
- **analysis/artifact eog.xlsx** - individually set thresholds for a step function identifying segments with artifacts on EOG IC channels.
- **analysis/artifacts.txt** - segments selected for removal by 'artifacts public.R'
- **analysis/data\*.txt** - averaged N400 amplitudies for each item and participant used by LMER models
- **analysis/beh test results.xlsx** - results of the behavioral post-eeg test
- **analysis/\*.png** - figures generated by 'analysis public.R'
To reproduce LMER analyses, open 'analysis public.R' script and run code in the 'LMER/GAM analyses' section.
To reproduce all analyses, access data files from Harvard Dataverse repository, download them to 'analysis/preprocessed segments/', run all code from 'artifacts public.R'. Then you will be able to execute all code from 'analysis public.R'.
