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测量成年人数值偏差的一个新任务
Shachar Hochman1, Mattan S Ben-Shachar2, Roi Cohen Kadosh3
1Department of Psychology and the Zelman Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel; School of Psychology, University of Surrey, Guildford, United Kingdom.
Cognition
|January 10, 2026
概括
我们开发了合规学习-不合规探头 (CLIP) 任务来测量数值偏差. 成年人更高的数值偏差与更强的数学技能相关,并影响认知控制.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 心理测量 心理测量 心理测量
背景情况:
- 数字偏差是倾向于偏爱数字而不是非数字信息的倾向.
- 了解数字偏差的个体差异对于认知研究至关重要.
研究的目的:
- 介绍和验证对成年人测量数字偏差的对应学习-不对应探针 (CLIP) 任务.
- 调查数字偏差,数学能力和执行函数之间的关系.
主要方法:
- 开发了CLIP任务,一个使用一致和不一致的数字刺激的计算机化范式.
- 对129名成年人进行了多天的CLIP任务.
- 使用漂移-扩散建模和数值Stroop任务进行分析和验证.
主要成果:
- 在CLIP任务中,可靠地测量了数字偏差的个体差异.
- 较高的数值偏差与数学流性和定量推理正相关.
- 较强的数值偏差与Stroop数值任务中更大的干扰和促进效应有关.
结论:
- CLIP任务是评估成年人数值偏差的验证工具.
- 在自发数值处理的个体变化影响认知控制和执行功能.
- 研究结果阐明了特定领域偏见与执行职能之间的相互作用.
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