Mapping the Early Language Environment Using All-Day Recordings and Automated Analysis
Mapping the Early Language Environment Using All-Day Recordings and Automated Analysis
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DOI：
10.1044/2016_ajslp-15-0169
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发表时间：
2017-05-01
影响因子：
2.6
通讯作者：
Paul, Terrance D.
中科院分区：
文献类型：
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作者：
Gilkerson, Jill;Richards, Jeffrey A.;Paul, Terrance D.
目的：这项研究提供了第一代标准化的自动化语言环境的估计，验证这些估计对标准的语言评估，并在以前的研究报告跨社会经济groups.Method语言行为的差异扩展：通常开发2至48个月的年龄之间的儿童每月完成，在他们的自然语言环境中的录音，为期约6-38个月。由此产生的数据集包含3,213个12小时的录音，通过使用语言环境分析（LENA）系统进行自动分析，以生成以下估计值：（a）儿童环境中成人单词的数量，（B）儿童与成人互动的数量，以及（c）儿童语音输出的频率。儿童的发声频率和话轮随年龄的增长而增加，而成人的字数是独立的年龄后，婴儿早期。儿童发声和会话轮估计预测7%-16%的变异观察到的儿童语言评估分数。较低的社会经济地位（SES）的儿童产生较少的发声，从事较少的成人与儿童的互动，并暴露于较少的日常成人的话相比，他们的社会经济地位较高的同龄人，但组内的变异性是high.Conclusions：结果提供了新的见解景观的早期语言环境，识别贫困的语言环境中的儿童风险的临床意义。
Purpose: This research provided a first-generation standardization of automated language environment estimates, validated these estimates against standard language assessments, and extended on previous research reporting language behavior differences across socioeconomic groups.Method: Typically developing children between 2 to 48 months of age completed monthly, daylong recordings in their natural language environments over a span of approximately 6-38 months. The resulting data set contained 3,213 12-hr recordings automatically analyzed by using the Language Environment Analysis (LENA) System to generate estimates of (a) the number of adult words in the child's environment, (b) the amount of caregiver-child interaction, and (c) the frequency of child vocal output.Results: Child vocalization frequency and turn-taking increased with age, whereas adult word counts were age independent after early infancy. Child vocalization and conversational turn estimates predicted 7%-16% of the variance observed in child language assessment scores. Lower socioeconomic status (SES) children produced fewer vocalizations, engaged in fewer adult-child interactions, and were exposed to fewer daily adult words compared with their higher socioeconomic status peers, but within-group variability was high.Conclusions: The results offer new insight into the landscape of the early language environment, with clinical implications for identification of children at-risk for impoverished language environments.