Cognitive Profiles of Children With Autism Spectrum Disorder on the Japanese Version of WISC-IV:

Satoshi Okada, Chieko Iiri, Yuko Azumi, Kazuhiro Ohtani
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引用次数: 3

Abstract

After children with autism spectrum disorder ( N =116 ; mean age, 9 . 37 years, SD , 2 . 63 ) completed the Japanese version of the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV), the data were analyzed using confirmatory factor analyses to evaluate the goodness of fit and factor construction (factor loadings of subtests) based on the traditional WISC-IV 4 -factor model, and the 5 -factor model derived from the Cattell-Horn-Carroll theory: crystallized ability, fluid reasoning, visual spatial ability, short-term memory, and processing speed. The results indicated that although both models had high goodness of fit, the Cattell-Horn-Carroll model had better fit. With respect to factor construction, matrix reasoning loaded on visual spatial ability, rather than on fluid reasoning. This finding relating to factor construction is different from the results reported in studies done outside of Japan, but is consistent with the results of a previous study conducted on a standardized sample in Japan. Additionally, 5 clusters were extracted from the Cattell-Horn-Carroll model. The autism and Asperger profiles reported in previous studies were also identified in the present research. Furthermore, 2 clusters were identified, which were: (a) a cluster with relatively high scores on short-term memory, and (b) a cluster with relatively high scores on processing speed. Among those clusters, significant differences were found between the scores on visual spatial ability and the scores on fluid reasoning. These results suggest that this version of the Cattell-Horn-Carroll model may provide a more detailed understanding of individual differences among children with autism spectrum disorder than the WISC-IV model does.
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自闭症谱系障碍儿童在日语版WISC-IV上的认知特征
自闭症谱系障碍患儿(N =116;平均年龄9岁。37岁,SD, 2岁。63)完成日文版《韦氏儿童智力量表-第四版》(WISC-IV),采用验证性因子分析对数据进行拟合优度和因子构建(子测试因子负荷)评价,采用传统的WISC-IV四因子模型和由Cattell-Horn-Carroll理论衍生的五因子模型:结晶能力、流体推理能力、视觉空间能力、短期记忆和处理速度。结果表明,虽然两种模型的拟合优度都很高,但Cattell-Horn-Carroll模型的拟合优度更高。在因子构建方面,矩阵推理更侧重于视觉空间能力,而不是流体推理。这一与因子构建相关的发现与日本以外的研究报告的结果不同,但与之前在日本对标准化样本进行的研究结果一致。此外,从Cattell-Horn-Carroll模型中提取了5个聚类。先前研究报告的自闭症和阿斯伯格特征在本研究中也得到了确认。此外,我们还发现了2个集群,分别是(a)短期记忆得分较高的集群和(b)处理速度得分较高的集群。在这些类别中,视觉空间能力得分和流畅推理得分之间存在显著差异。这些结果表明,这个版本的Cattell-Horn-Carroll模型可能比WISC-IV模型更详细地了解自闭症谱系障碍儿童的个体差异。
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