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实验室测得的亲社会倾向可信吗?社会偏好的单模态与跨模态比较

Are Laboratory-Measured Prosocial Tendencies Reliable?Uni-Modal vs Cross-Modal Comparisons of Social Preferences
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摘要 传统的测量社会偏好的实验范式通常要求受试者在自我和他人获得不同收益的选项间权衡,在这种决策信息有限的单模态情境中测得社会偏好的生态效度令人生疑。采用延迟补偿范式,通过比较318名被试在单模态情境和跨模态情境的补偿金额和社会价值取向分数,比较了单模态情境与更接近现实的跨模态情境的社会偏好的差异。结果发现:个体在单模态中的亲社会倾向低于跨模态情境;基于传统测量工具测得的社会价值取向分数与单模态情境的补偿金额相关,而与跨模态情境的补偿金额无关。研究结果提示,社会偏好的现有测量工具生态效度不足,并为今后研究者选取并发展适当的测量工具提供了参考与启示。 Traditional experimental paradigms for measuring social preferences often require participants to choose between options that yield different payoffs for themselves and others.This type of decision-making,which focuses on a single dimension,is referred to as a uni-modal.However,many real-world social decisions are more complex and cannot be reduced to simple monetary trade-offs,often involving multiple dimensions,referred to as cross-modal.Thus,whether these lab-based paradigms effectively capture social preferences in real-world settings remains questionable.This study employed the delayed compensation method to compare the differences in social preferences measuring across uni-modal and cross-modal by comparing compensation amounts and social value orientation scores across 318 participants.The results showed that individuals exhibit lower prosocial tendencies in uni-modal compared to cross-modal.In addition,scores of social value orientation measured by traditional tools were found to correlate with compensation in uni-modal but not in cross-modal.These findings highlight the limited ecological validity of existing tools for measuring social preferences and provide valuable insights for researchers in selecting and developing more appropriate measurement tools in the future.
作者 王茜惠 刘洪志 Wang Qianhui;Liu Hongzhi(School of Sociology,Nankai University,Tianjin 300350,China)
出处 《心理技术与应用》 2025年第4期215-225,共11页 Psychology(Techniques and Applications)
基金 国家自然科学基金项目(71901126)。
关键词 社会偏好 社会价值取向 单模态 跨模态 延迟补偿范式 social preference social value orientation uni-modal,cross-modal delayed compensation method
作者简介 通讯作者:刘洪志,E-mail:liuhz@nankai.edu.cn。
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