statistical-maze-jspsych
Code for the statistical maze task written in jsPsych 7.
https://github.com/elizabethpankratz/statistical-maze-jspsych
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (4.2%) to scientific vocabulary
Repository
Code for the statistical maze task written in jsPsych 7.
Basic Info
Statistics
- Stars: 0
- Watchers: 1
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Metadata Files
README.md
The statistical maze task for statistical learning: Code for jsPsych 7
The statistical maze task
In Chapter 5 of my PhD thesis, I adapted the classic psycholinguistic maze task into a paradigm that can be used for statistical learning. This repository contains a minimal working example of the code I used. The code draws heavily on the excellent maze task plugin written by James Brand.
How to use
Give the statistical maze task a try by opening index.html in a browser.
The experiment code can be found in exp.js.
Citation
If you use this code, you can cite this repository:
@misc{Pankratz_Pseudo-maze_2024,
author = {Pankratz, Elizabeth},
title = {{The statistical maze task for statistical learning: Code for jsPsych 7}},
url = {https://github.com/elizabethpankratz/statistical-maze-jspsych},
year = {2024}
}
Owner
- Name: Elizabeth Pankratz
- Login: elizabethpankratz
- Kind: user
- Location: Edinburgh
- Company: University of Edinburgh
- Website: elizabethpankratz.github.io
- Twitter: ecpankratz
- Repositories: 1
- Profile: https://github.com/elizabethpankratz
Citation (CITATION.cff)
cff-version: 1.2.0
title: >-
The pseudo-maze task for statistical learning: Code for jsPsych 7
message: >-
If you use this dataset, please cite it using the metadata
from this file.
type: dataset
authors:
- given-names: Elizabeth
family-names: Pankratz
affiliation: University of Edinburgh
orcid: 'https://orcid.org/0000-0001-8453-1105'
repository-code: 'https://github.com/elizabethpankratz/pseudo-maze-jspsych'
license: CC-BY-2.0
version: '1'
date-released: '2024-12-02'