面对面测试分数分布:“正常”有多典型?

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-07-01 Epub Date: 2023-10-24 DOI:10.1177/10731911231201159
Alison S Buchholz, Gila Z Reckess, Victor A Del Bene, S Marc Testa, Jeffrey L Crawford, David J Schretlen
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引用次数: 0

摘要

我们通过分析每个人在一组测试中的得分分布形状,评估了认知测试组中的人内变异性。我们假设,大多数健康成年人的测试成绩通常分布在他们自己的个人电池范围内,人内(wp)平均值周围。使用327名神经健康成年人的横断面数据,我们计算了每个人30项神经心理学测量的平均值、标准差、偏斜和峰度。使用三种校准度将原始分数转换为T分数:(a)无,(b)年龄,(c)年龄、性别、种族、教育程度和估计的病前智商。无论校准如何,没有参与者表现出异常的人内偏斜(wp偏斜),只有10人(3.1%)至16人(4.9%)表现出wp峰度大于2。如果在其他样本和测量中复制,这些发现可以阐明健康个体是如何被赋予不同的认知能力的,并为临床神经心理学中的新推理方法提供基础。
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Within-Person Test Score Distributions: How Typical Is "Normal"?

We evaluated within-person variability across a cognitive test battery by analyzing the shape of the distribution of each individual's scores within a battery of tests. We hypothesized that most healthy adults would produce test scores that are normally distributed around their own personal battery-wide, within-person (wp) mean. Using cross-sectional data from 327 neurologically healthy adults, we computed each person's mean, standard deviation, skew, and kurtosis for 30 neuropsychological measures. Raw scores were converted to T-scores using three degrees of calibration: (a) none, (b) age, and (c) age, sex, race, education, and estimated premorbid IQ. Regardless of calibration, no participant showed abnormal within-person skew (wpskew) and only 10 (3.1%) to 16 (4.9%) showed wpkurtosis greater than 2. If replicated in other samples and measures, these findings could illuminate how healthy individuals are endowed with different cognitive abilities and provide the foundation for a new method of inference in clinical neuropsychology.

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7.20
自引率
4.30%
发文量
567
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