Joseph J Ryan, David S Kreiner, Samuel T Gontkovsky, Charles J Golden, Gordon Teichner
{"title":"韦氏成人智力量表--第四版一般能力指数的高度分散是否会降低预测韦氏记忆量表--第四版指数的有效性?","authors":"Joseph J Ryan, David S Kreiner, Samuel T Gontkovsky, Charles J Golden, Gordon Teichner","doi":"10.1080/23279095.2021.2021412","DOIUrl":null,"url":null,"abstract":"<p><p>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 <i>p</i> < .05 and 12.29% were >22 points. For VCI < PRI, 48.37% were significant at <i>p</i> < .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.</p>","PeriodicalId":50741,"journal":{"name":"Applied Neuropsychology-Adult","volume":" ","pages":"315-322"},"PeriodicalIF":1.7000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Does high scatter on the Wechsler Adult Intelligence Scale-Fourth Edition general ability index reduce validity in predicting Wechsler Memory Scale-Fourth Edition indexes?\",\"authors\":\"Joseph J Ryan, David S Kreiner, Samuel T Gontkovsky, Charles J Golden, Gordon Teichner\",\"doi\":\"10.1080/23279095.2021.2021412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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 <i>p</i> < .05 and 12.29% were >22 points. For VCI < PRI, 48.37% were significant at <i>p</i> < .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.</p>\",\"PeriodicalId\":50741,\"journal\":{\"name\":\"Applied Neuropsychology-Adult\",\"volume\":\" \",\"pages\":\"315-322\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Neuropsychology-Adult\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1080/23279095.2021.2021412\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/1/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Neuropsychology-Adult","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1080/23279095.2021.2021412","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/6 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
我们研究了 WAIS-IV GAI 的显著分散是否会降低其预测 WMS-IV 指标表现的有效性。研究对象包括 330 名患有神经、精神或神经发育障碍的患者,以及 59 名无可诊断障碍的转介患者。对于 VCI > PRI,59.32% 在 p 22 点时具有显著性。对于 VCI p 22 点。GAI 各分测验间的散点显示,82.26%的人有显著的散点范围,13.88%的人有异常大的范围(≥8)。在 VCI 中,49.10% 的人有显著的散点(≥3),12.08% 的人有异常大的散点范围(≥5)。在 PRI 方面,43.19% 有明显的分散范围(≥4),12.85% 有异常大的分散范围(≥6)。调节分析显示,GAI 是 WMS-IV 各项指数的重要预测因子。对于任何指数,GAI 与 GAI 散度的交互项都不显著,这表明根据 GAI 预测 WMS-IV 分数的回归方程在不同的散度水平上没有显著差异。即使在 VCI-PRI 存在显著差异且 GAI 各分测验之间存在异常变异的情况下,根据 GAI 估算 WMS-IV 指数也是合理的。
Does high scatter on the Wechsler Adult Intelligence Scale-Fourth Edition general ability index reduce validity in predicting Wechsler Memory Scale-Fourth Edition indexes?
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 p < .05 and 12.29% were >22 points. For VCI < PRI, 48.37% were significant at p < .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.