对ADHD评估的嵌入性绩效有效性指标的多变量检查:一个有针对性的方法
John-Christopher A Finley1, Julia M Brooks2,3, Amanda N Nili2,4
1Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School, Chicago, IL, USA.
结合嵌入式有效性指标 (EVIs) 改善了在ADHD评估中检测无效表现. 多变量模型,特别是使用六个关键EVI,提高了对注意力缺陷/多动性障碍评估的准确性,而不是单个指标.
科学领域:
- 神经心理学 神经心理学
- 心理测量 心理测量 心理测量
背景情况:
- 嵌入式有效性指标 (EVIs) 对于解释神经心理测试结果至关重要.
- 在注意力缺陷/多动障碍 (ADHD) 评估中,准确评估绩效有效性至关重要.
研究的目的:
- 评估10个嵌入有效性指标 (EVIs) 的有效性,以区分在接受ADHD评估的成年人中有效的和无效的表现.
- 确定单个和组合EVI在提高分类准确性的实用性.
主要方法:
- 分析了585名成年人的数据,这些成年人被推用于ADHD评估.
- 根据经验指标将参与者分为有效和无效的绩效组.
- 从执行功能,注意力/工作记忆和处理速度指标评估了单个和组合的EVI.
主要成果:
- 所有10个EVI都区分了具有高特异性但低灵敏性的性能组.
- 单个EVI解释了不到20%的有效性状态差异.
- 结合EVI的多变量模型显著提高了分类准确性,解释了高达36%的差异.
结论:
- 集成EVI的多变量模型优于在ADHD评估中检测绩效残疾的个体指标.
- 六个特定EVI的组合实现了高精度,与使用所有十个相比.
- 连锁多个EVI可以提高检测,但好处可能会停滞不前.
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