强大的IAT分数会内调整可能揭示了快速变化的新动态
Aaron Cochrane1,2, William T L Cox3,4, C Shawn Green3
1Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA. aaron_cochrane@brown.edu.
Scientific reports
|September 27, 2023
概括
隐性关联测试 (IAT) 测量隐性评估,但假设稳定的响应时间. 这项研究揭示了IAT分数在会话内发生变化,这表明时间动态与认知偏见和行为有关.
科学领域:
- 社会心理学 社会心理学
- 认知科学 认知科学
- 心理测量 心理测量 心理测量
背景情况:
- 隐性关联测试 (IAT) 是社会心理学中广泛使用的一种工具,用于评估隐性评估.
- IAT的一个核心假设是任务期间响应时间分布的静态性.
研究的目的:
- 调查IAT中响应时间静止的假设.
- 检查IAT业绩的会期内变化及其与外部措施的关系.
主要方法:
- 分析多个数据集以跟踪IAT块内的响应时间.
- 检查IAT分数中的时间动态及其与认知偏见和行为之间的相关性.
主要成果:
- 在多个数据集中,IAT分数在会话内显著变化.
- 在IAT性能轨迹中确定了与不同认知过程相关的可分离组件.
结论:
- 在IAT中对稳定的响应时间的假设受到质疑.
- 在IAT表现中的时间动态在理论上是相关的,可能反映了潜在的认知偏见和行为.
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