This project aimed to develop an open-source Hand Laterality Judgement Task (HLJT) for in-person and online uses.
The experiments were created using the free software PsychoPy2 (https://www.psychopy.org/), initially version 2023.3.2, but have been updated to work in version 2024.2.0. Newer versions of the software may require changes to the experiments to work appropriately. We cannot be responsible for this maintenance, it is up to the user.
**The experiments were created using PsychoPy for Windows, and therefore adjustments may be needed to be run on Mac.**
While the experiments do not require extensive programming to be set up, it is assumed that some experience with PsychoPy2 is needed in order to understand how the software works. We **strongly recommend** reading PsychoPy's documentation before making any changes to the experiment parameters.
**IMPORTANT INFORMATION:**
The in-person and online versions are not equivalent in terms of how they are set up, as for an online use the researcher must predefine all the parameters, whereas for the in-person version, most of the parameters can be chosen in the dialogue box by the researcher, every time the experiment is run.
**Please read the corresponding Readme file of each experiment to understand how they work and what needs to be done to run them.**
Before the first use, decompress the .zip file, do not run the experiment from the compressed file.
**INFORMATION ABOUT PAPER FILES:**
The paper folder has an R project and subfolders with scripts and data to reproduce the analyses as described in the article. It also has two folders: 'plots' contains the figures as included in the publication; 'output' contains all the model fits saved as .Rds objects. Note some of them are heavy (approximately 500mb each).
**SCRIPT ORGANISATION:**
'Analysis 0' contains code to obtain socio-demographic summaries, summaries of time to complete the task, and comparisons across groups.
'Analysis 1' contains code to run the Bayesian models and output them into the appropriate 'output' subfolders.
'Analysis 2.1', 'Analysis 2.2' and 'Analysis 2.3' contain code to perform hypothesis testing and obtain plots for the in-person version, online version and validation analysis of the task, respectively. These scripts have a common structure with differences depending on the main effects/interactions found, and post-hoc tests. Color-coding in plots is also different.
