https://github.com/alexrockhill/stop-it
Science Score: 13.0%
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- Host: GitHub
- Owner: alexrockhill
- Default Branch: master
- Size: 3.72 MB
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Fork of fredvbrug/STOP-IT
Created about 6 years ago
· Last pushed about 6 years ago
https://github.com/alexrockhill/STOP-IT/blob/master/
# STOP-IT The stop-signal task is an essential tool for studying response inhibition and impulse control. In this task, participants typically perform a go task (e.g. press left when an arrow pointing to the left appears, and right when an arrow pointing to the right appears), but on a minority of the trials, a stop-signal (e.g. crosses replacing the arrow) appears after a variable stop-signal delay (SSD), instructing participants to suppress the imminent go response. The stop-signal task is unique in allowing the estimation of the covert latency of response inhibition (stop-signal reaction time or SSRT). Here we provide open-source software that can be used to execute a stop-signal task and analyze the resulting data, in an easy-to-use way that complies with the recommendations described in "Capturing the ability to inhibit actions and impulsive behaviors: A consensus guide to the stop-signal task" (Verbruggen et al., 2019). ### Execute the stop-signal task We provide platform-independent software to correctly execute the stop-signal task. It is programmed using jsPsych (De Leeuw, 2015) The software is easily amendable, and can be used for offline and online studies. It replaces a previous version (described in Verbruggen, Logan, & Stevens, 2008) which is no longer maintained (and which could only be used on Windows computers). To install the stop-signal task, download the jsPsych folder. **We strongly recommend that you read the [README-STOP-IT-JS](https://github.com/fredvbrug/STOP-IT/blob/master/jsPsych_version/README-STOP-IT-JS.md) file before you start.** To run the stop-signal task, simply open 'experiment.html' in Firefox or Chrome browser, and follow the instructions. ### Analyse the data of the stop-signal task Data collected with the jsPsych version of STOP-IT can be analyzed with an *'R Shiny'* app. **For detailed information about installation and usage of the analysis app, please read the [README-ANALYZE-IT-JS](https://github.com/fredvbrug/STOP-IT/blob/master/jsPsych_version/README-ANALYZE-IT-JS.md) file.** Data collected with the original Tscope version of STOP-IT can be analyzed with a different R shiny app. **This app replaces the original ANALYZE-IT program (Verbruggen, Logan, & Stevens, 2008), which no longer complies with the most recent recommendations (so this 2008-version should no longer be used!).** Please read the [README-ANALYZE-IT-Tscope](https://github.com/fredvbrug/STOP-IT/blob/master/Tscope_version/README-ANALYZE-IT-Tscope.md) file for further information about installation and usage. ### Contact information For questions or feedback, contact frederick.verbruggen@ugent.be ### References de Leeuw, J. R. (2015). jsPsych: A JavaScript library for creating behavioral experiments in a Web browser. Behavior Research Methods, 47(1), 112. https://doi.org/10.3758/s13428-014-0458-y Verbruggen, F., Logan, G. D., & Stevens, M. A. (2008). STOP-IT: Windows executable software for the stop-signal paradigm. Behavior Research Methods, 40(2), 479483. https://doi.org/10.3758/BRM.40.2.479 Verbruggen, F., Aron, A. R., Band, G. P., Beste, C., Bissett, P. G., Brockett, A. T., Boehler, C. N. (2019). A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task. ELife, 8, e46323. https://doi.org/10.7554/eLife.46323
Owner
- Name: Alex Rockhill
- Login: alexrockhill
- Kind: user
- Location: Eugene, OR
- Company: University of Oregon
- Twitter: alex_p_rockhill
- Repositories: 7
- Profile: https://github.com/alexrockhill
Graduate Student in the Swann Lab