在执行职能评估中寻找更好的实践:方法问题和潜在的解决方案
Marc Yangüez1, Benoit Bediou1, Julien Chanal1
1Faculty of Psychology, University of Geneva.
Psychological review
|August 24, 2023
概括
执行职能 (EF) 的运行影响了他们的结构模型. 单项任务得分和漂移率在确认因素分析 (CFA) 中提供了比差异得分或响应时间更好的模型趋同和接受.
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:
- 执行职能 (EF) 是复杂的,关于其结构和测量的争论正在进行中.
- 对EF任务执行的异质运行使结构建模复杂化.
研究的目的:
- 调查EF任务操作化与由确认因素分析 (CFA) 衍生的结构模型之间的关系.
- 为了确定模拟EF结构的最佳性能指标.
主要方法:
- 在9个EF任务中利用了294名儿童 (8-12岁) 的启动数据.
- 采用确认因素分析 (CFA) 来比较基于不同业绩操作化的结构模型 (单一分数,差异分数,响应时间,准确性,漂移率).
主要成果:
- 与差异分数相比,单项任务得分显示出更好的模型融合和接受.
- 从漂移-扩散模型中得出的漂移率显示出对EF结构建模的最佳趋同与接受平衡.
- 响应时间导致模型趋同和接受度差.
结论:
- 选择绩效操作化的方法显著影响执行职能推断的结构.
- 漂移率成为使用CFA进行强大的EF结构建模的有希望的指标.
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