Main content
Public data of healthy controls, individuals at clinical high risk for psychosis and first-episode psychosis patients performing a social learning task
Date created: | Last Updated:
: DOI | ARK
Creating DOI. Please wait...
Category: Project
Description: Data pertaining to the computational modelling analysis for the paper: Hauke, Wobmann, Andreou, Mackintosh, de Bock, Karvelis, Adams, Sterzer, Borgwardt, Roth, & Diaconescu (2024). Altered perception of environmental volatility in emerging psychosis. Computational Psychiatry. https://doi.org/10.5334/cpsy.95 Please, cite both the paper and this dataset: Hauke, Wobmann, Andreou, Mackintosh, de Bock, Karvelis, Adams, Sterzer, Borgwardt, Roth, & Diaconescu (2024, January 25). Public data of healthy controls, individuals at clinical high risk for psychosis and first-episode psychosis patients performing a social learning task. https://doi.org/10.17605/OSF.IO/6RDJC Each dataset contains two fields: data.input_u The first column indicates whether advice was helpful (=1) or misleading (=0) (social cue), the second column contains the winning probability of the pie chart (non-social cue) in advice space. data.y Participants decisions to go with (=1) or against (=0) the advice.
Start managing your projects on the OSF today.
Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.