five

Data for Training Effect of Self Prioritization

收藏
科学数据银行2023-05-10 更新2026-04-23 收录
下载链接:
https://www.scidb.cn/detail?dataSetId=49cbde67fa174c3cadee071abf1968cb
下载链接
链接失效反馈
官方服务:
资源简介:
This database includes data from a behavioral experiment which aimed to investigate the effect of training on self-prioritization effect (SPE). 36 participants were recruited from Tsinghua University and nearby community, all of whom were right-handed and had normal or corrected-to-normal vision. Participants were pre-tested for their depressive level by Beck Depression Inventory (BDI). Only participants with score lower than 10 (n=30) and those higher than 20 (n=6, ID: 6005, 6006, 6010, 6022, 6025, and 6036) were included. The experiment was approved by the IRB at the Department of Psychology, Tsinghua University, and all participants provided informed consent. The experiment has two behavioral tasks, both required participants to associate different stimuli with self, other, emotions, and rewards. The stimuli were presented, and response data were collected by E-Prime 2.0. The whole experiment costed approximately 80 minutes. The database includes data on participants' responses. Data from three participants (ID: 6008, 6015, and 6031) should be excluded due to invalid trials or program malfunctions. Please see “README.md” for more details about the experimental design, procedure, and tasks.

本数据库收录了一项旨在探究训练对自我优先化效应(self-prioritization effect, SPE)影响的行为实验的相关数据。研究从清华大学及周边社区招募了36名参与者,所有参与者均为右利手,视力或矫正视力正常。研究采用贝克抑郁量表(Beck Depression Inventory, BDI)对参与者的抑郁水平进行预测试,最终仅纳入抑郁量表得分低于10分的参与者(共30名),以及得分高于20分的参与者(共6名,编号为6005、6006、6010、6022、6025及6036)。本实验已通过清华大学心理学系机构伦理审查委员会(Institutional Review Board, IRB)的伦理审查,所有参与者均签署了知情同意书。实验包含两项行为任务,均要求参与者将不同刺激与自我、他人、情绪及奖励建立关联。实验刺激的呈现与反应数据的采集均通过E-Prime 2.0软件完成,整个实验耗时约80分钟。本数据库收录了参与者的反应数据。另有3名参与者(编号为6008、6015及6031)因存在无效试次或程序故障,其数据需被剔除。更多关于实验设计、实验流程与任务的详细信息,请参阅"README.md"文件。
提供机构:
University of Aberdeen; Chuanpeng Hu; Kaiping Peng
创建时间:
2023-05-05
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作