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Rapid Automatized Naming and Explicit Phonological Processing in Children With Developmental Dyslexia: A Study With Portuguese-Speaking Children in Brazil

机译:发育综合症儿童快速自动化的命名和明确语音加工:巴西葡萄牙语儿童研究

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Many studies have shown that children with reading difficulties present deficits in rapid automatized naming (RAN) and phonological awareness skills. The aim of this study was to examine RAN and explicit phonological processing in Brazilian Portuguese–speaking children with developmental dyslexia and to explore the ability of RAN to discriminate between children with and without dyslexia. Participants were 30 children with a clinical diagnosis of dyslexia established by the Brazilian Dyslexia Association and 30 children with typical development. Children were aged between 7 and 12, and groups were matched for chronological age and sex. They completed a battery of tests that are commonly used in Brazil for diagnosing dyslexia, consisting of the Wechsler Intelligence Test for Children (WISC-IV) as well as tests of single word and non-word reading, RAN, and the profile of phonological abilities test. Results indicate that the cognitive profile of this group of children, with a clinical diagnosis of dyslexia, showed preserved skills in the four subscales of the WISC-IV (verbal comprehension, perceptual reasoning, working memory, and processing speed) and on the profile of phonological abilities test. Groups significantly differed on the reading tests (word and non-word) and RAN measures, with medium to large effect sizes for RAN. Classification and regression tree analysis revealed that RAN was a good predictor for dyslexia diagnosis, with an overall classification accuracy rate of 88.33%.
机译:许多研究表明,阅读困难的儿童在快速自动化命名(RAN)和语音意识技能中存在缺陷。本研究的目的是在巴西葡萄牙语儿童中审查冉冉和明确的语音处理,探索历史困难,并探讨冉区歧视患儿和没有诵读的儿童。参与者是30名儿童临床诊断,由巴西综合症协会和30名典型发展的30名儿童建立了缺点。儿童年龄在7到12岁之间,群体与年龄和性行为相匹配。他们完成了一种用于巴西常用的测试的电池,用于诊断诵读综合症,由儿童(WISC-IV)的氟斯勒智力测试组成以及单词和非单词阅读,运行和语音能力的轮廓。测试。结果表明,这群儿童的认知概况随着缺点诊断的临床诊断,在WISC-IV的四个分量表中显示了保存的技能(口头理解,感知推理,工作记忆和处理速度)和概况语音能力测试。读取测试(Word和Non-Word)和RAN措施的群体显着不同,中等效果尺寸为RAN。分类和回归树分析显示,RAN是综合症诊断的良好预测因子,整体分类准确率为88.33%。

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