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高瑞文第四版一般能力指数的离散度是否会降低对韦氏记忆量表第四版指标的预测效度?

Does high scatter on the Wechsler Adult Intelligence Scale-Fourth Edition general ability index reduce validity in predicting Wechsler Memory Scale-Fourth Edition indexes?

机构信息

Department of Psychological Science, University of Central Missouri, Warrensburg, MO, USA.

Department of Psychology, Twin Valley Behavioral Healthcare, Columbus, OH, USA.

出版信息

Appl Neuropsychol Adult. 2024 Jul-Aug;31(4):315-322. doi: 10.1080/23279095.2021.2021412. Epub 2022 Jan 6.

DOI:10.1080/23279095.2021.2021412
PMID:34990563
Abstract

We examined whether significant scatter in WAIS-IV GAI will reduce its validity to predict performance on WMS-IV indexes. Participants were 330 individuals with neurological, psychiatric, or neurodevelopmental disorders and 59 referrals who were found to be free of a diagnosable disorder. For VCI > PRI, 59.32% were significant at  < .05 and 12.29% were >22 points. For VCI < PRI, 48.37% were significant at  < .05 and 7.19% were >22 points. Inter-subtest scatter across GAI subtests indicated 82.26% of individuals had a significant scatter range and 13.88% had an unusually large range (≥8). For the VCI, 49.10% had significant scatter (≥3) and 12.08% had an unusually large scatter range (≥5). On the PRI, 43.19% had a significant scatter range (≥4) and 12.85% had an unusually large degree of scatter (≥6). Moderation analyses revealed GAI was a significant predictor of each WMS-IV index. The interaction term of GAI with GAI scatter was not significant for any indexes, indicating that regression equations for predicting WMS-IV scores from GAI did not vary significantly across levels of scatter. Estimation of WMS-IV indexes from the GAI is justified even when significant VCI-PRI discrepancies are present and there is unusual variability across the GAI subtests.

摘要

我们考察了 WAIS-IV GAI 中的显著离散度是否会降低其预测 WMS-IV 指数表现的有效性。参与者包括 330 名患有神经、精神或神经发育障碍的个体和 59 名被诊断为无明显障碍的转介者。对于 VCI>PRI,在  < .05 时有 59.32%显著,>22 分的有 12.29%。对于 VCI<PRI,在  < .05 时有 48.37%显著,>22 分的有 7.19%。GAI 亚测试间的亚测试离散度表明,82.26%的个体具有显著的离散范围,13.88%的个体具有异常大的范围(≥8)。对于 VCI,49.10%有显著的离散度(≥3),12.08%有异常大的离散度范围(≥5)。在 PRI 上,43.19%有显著的离散度范围(≥4),12.85%有异常大的离散度(≥6)。调节分析表明 GAI 是每个 WMS-IV 指数的显著预测因子。GAI 与 GAI 离散度的交互项对于任何指数都不显著,这表明从 GAI 预测 WMS-IV 分数的回归方程在离散度水平上没有显著差异。即使存在明显的 VCI-PRI 差异,并且 GAI 亚测试之间存在异常的可变性,从 GAI 估计 WMS-IV 指数也是合理的。

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