Search reports, ask a question, or jump to a page.
The problem
Intervention: Behavioral reward learning task combined with Bayesian computational learning model to assess decision-making strategies
Who it was tested with: Children aged 11-16 years varying in level of stress exposure.
Experience from people who deliver programmes: stories, case studies and lessons learned. Valuable for understanding how and why, and for spotting what to test next, but not a measure of effect.
"Children with high stress exposure switched their responses rather than maintaining choices that had previously been effective for them when making decisions about rewards. This switching was driven by children with high stress exposure expecting environments to be more volatile." This design compares decision-making patterns across children with different stress exposure levels to understand how stress shapes learning expectations.
The study is observational without a randomized intervention, so causality cannot be definitively established. The document does not provide detailed information on sample size, demographic characteristics, or statistical significance testing.
Across countries and designs
1 study · 0 countries
A reviewer checked the classification against the source.
claude-haiku-4-5-20251001 · synth-v1
