首页> 外文期刊>Journal of speech, language, and hearing research: JSLHR >Predicting language outcomes for children learning augmentative and alternative communication: Child and environmental factors
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Predicting language outcomes for children learning augmentative and alternative communication: Child and environmental factors

机译:为学习补充性和替代性交流的儿童预测语言结果:儿童和环境因素

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Purpose: To investigate a model of language development for nonverbal preschool-age children learning to communicate with augmentative or alternative communication. Method: Ninety-three preschool children with intellectual disabilities were assessed at Time 1, and 82 of these children were assessed 1 year later, at Time 2. The outcome variable was the number of different words the children produced (with speech, sign, or speech-generating devices). Children's intrinsic predictor for language was modeled as a latent variable consisting of cognitive development, comprehension, play, and nonverbal communication complexity. Adult input at school and home, and amount of augmentative or alternative communication instruction, were proposed mediators of vocabulary acquisition. Results: A confirmatory factor analysis revealed that measures converged as a coherent construct, and a structural equation model indicated that the intrinsic child predictor construct predicted different words children produced. The amount of input received at home, but not at school, was a significant mediator. Conclusions: The hypothesized model accurately reflects a latent construct of Intrinsic Symbolic Factor (ISF). Children who evidenced higher initial levels of ISF and more adult input at home produced more words 1 year later. The findings support the need to assess multiple child variables and suggest interventions directed to the indicators of ISF and input.
机译:目的:研究非语言学龄前儿童学习与增广或替代性交流的语言发展模型。方法:在时间1评估了93名智障学龄前儿童,并在1年后的时间2评估了其中的82名儿童。结果变量是儿童产生的不同单词的数量(带有语音,符号或语音生成设备)。儿童语言的内在预测因子被建模为一个潜在变量,包括认知发展,理解,游戏和非语言交流的复杂性。建议在学校和家庭中输入成人,以及补充性或替代性交流教学的数量,作为词汇获取的中介。结果:一个验证性因素分析表明,测度收敛为一个连贯的结构,结构方程模型表明,内在的儿童预测变量结构可以预测儿童产生的不同单词。在家而不是在学校收到的意见数量是一个重要的调解人。结论:假设模型准确反映了潜在的内在符号因子(ISF)的构造。一年后,那些表现出较高的ISF初始水平和在家中更多成人投入的儿童产生了更多的单词。这些发现支持需要评估多个儿童变量,并建议针对ISF和投入指标的干预措施。

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