USYD Meta Lab Wiki

Communication & Lab Meetings

• Teams is the primary communication tool.
• Use student-specific channels for updates.
• Weekly lab meetings and discussions are scheduled through Teams.

Software

Teams

• Primary communication platform.

OneDrive

• Cloud storage with automatic version history.

Sublime Text / Visual Studio Code

• Code editing (HTML, JS, JSON, etc.).

R & RStudio

• Data cleaning, analysis, visualisation.
• Lab R Package: MetaLab includes templates and tools.
• Install via:
  

  install.packages("devtools")
  devtools::install_github("usyd-meta-lab/MetaLab")

Folder Structure

Each project should follow this structure:

Project_Name/
├── README.md
├── experiments/
│   └── example-experiment/
│       ├── design/
│       ├── stimuli/
│       ├── scripts/
│       ├── data/
│       │   ├── metadata/
│       │   ├── processed/
│       │   └── raw/
│       ├── analysis/
│       ├── code/
│       └── notes.md
├── manuscripts/
├── reports/
├── preregistration/
└── presentations/

Use the lab's R packageMetaLab::create_MetaLab_project(project_name, experiment_nam, directory) to auto-create this structure in your chosen directory.

jsPsych Standards

File Structure

index.html
assets/js/experiment.js
assets/js/survey.js
assets/js/global.js
assets/csss/custom-css.css
assets/img

Features

• Browser/fullscreen checks.
• Summary trials for scoring and easy data filtering.
• DataPipe integration.
• SONA/Prolific redirects.
• Pilot testing with at least 3 participants.

Data Structure

• trial_type, blocknum, trialnum, correct, confidence, participant_ID, source.

jsPsych Templates

• jsPsych Experiment Template

jsPsych Studies

• Have a read of our guide to launching studies.

Flow Diagram

Data flow: jsPsych → DataPipe → OSF → Lab R cleaning script → analysis.

Version Management Best Practices

Code

• Use GitHub with clear commit messages and branching.

jsPsych Experiments

• Version scripts via GitHub tags or comments.

Manuscripts

• One master file using Track Changes.
• Version history through OneDrive.

Endnote

• Contact Kit for access to shared library.
• Share groups via Endnote Online.
• Use CWYW in Word.

FAQ

Study Deployment

• Have a read of our guide to launching studies.
• Students should contact Kit before launching on SONA or Prolific.

Pre-registration

• Must be done prior to data collection.
• Use AsPredicted.

Analysis Scripts

• 01_cleaning.R: Import and clean data.
• 02_analysis.R: Statistical analyses and plotting.