Financial Risk Perception; Reaction Time; Behavioral Finance; Cognitive Processing; Decision Making; Social Influence; Framing Effect

This dataset contains trial-level behavioral data collected from a pilot experimental study (N = 28) investigating financial risk perception using reaction time (RT) as a process-level indicator. The experiment was implemented using PsychoPy (v2026.1.1) and designed to examine how emotional priming, framing effects (gain vs. loss), peer influence, and risk level affect decision latency and choice behavior. Each participant completed a series of randomized financial decision-making trials, where they selected between a low-risk guaranteed option and a high-risk probabilistic option. Reaction time was recorded as the interval between stimulus onset and participant response. The dataset includes variables related to: Participant identifiers and trial numbers Emotional condition (positive, neutral, negative) Framing condition (gain, loss) Peer influence (present, absent) Risk level (low, high) Response choice (risk-averse vs. risk-seeking) Reaction time (milliseconds) Accuracy and condition labels Data cleaning procedures were applied to exclude anticipatory (<200 ms) and delayed (>3000 ms) responses. The dataset reflects a partially crossed within-subjects design, consistent with the pilot nature of the study. This dataset is intended to support replication, methodological development, and further research in behavioral finance and decision sciences.