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.

本数据集包含一项先导实验研究（N=28）中采集的试次级行为数据，该研究以反应时（Reaction Time, RT）作为过程层面指标，探究金融风险感知相关问题。本实验采用PsychoPy（v2026.1.1）平台搭建，旨在探究情绪启动、框架效应（获益vs损失）、同伴影响以及风险水平如何影响决策潜伏期与选择行为。

每名被试需完成一系列随机化的金融决策试次，在低风险确定性选项与高风险概率性选项之间进行选择。反应时被记录为刺激呈现起始时刻至被试作出反应之间的时间间隔。

本数据集包含以下相关变量：
1. 被试标识与试次编号
2. 情绪条件（积极、中性、消极）
3. 框架条件（获益、损失）
4. 同伴影响（存在、缺失）
5. 风险水平（低、高）
6. 反应选择（风险规避vs风险寻求）
7. 反应时（毫秒）
8. 正确率与条件标签

本数据集已执行数据清洗流程，剔除了预判性反应（时长<200毫秒）与延迟反应（时长>3000毫秒）的数据。本数据集采用部分交叉被试内设计，符合该先导研究的研究属性。

本数据集旨在为行为金融学与决策科学领域的重复验证研究、方法学拓展以及后续科研工作提供支持。