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使用辅助沟通设备人群的语言样本采集和分析:克服障碍。

Language Sample Collection and Analysis in People Who Use Augmentative and Alternative Communication: Overcoming Obstacles.

机构信息

Department of Speech and Hearing Science, The Ohio State University, Columbus.

出版信息

Am J Speech Lang Pathol. 2021 Jan 27;30(1):47-62. doi: 10.1044/2020_AJSLP-19-00055. Epub 2021 Jan 12.

Abstract

Purpose Language sample collection and analysis provides important information regarding the language abilities of individuals for whom standardized testing may not be appropriate, such as persons who use augmentative and alternative communication (PWUAACs). Despite its clinical utility, language sample collection and analysis has not been fully incorporated into the assessment of PWUAACs due to a variety of challenges. This study seeks to investigate the ability of language sample collection and analysis to provide clinically relevant information and explore ways to circumvent language sample collection and analysis challenges for PWUAACs. Method This is a case study of the narratives of two PWUAACs, one child and one adult. Analyses were conducted using manual calculations and computerized language sample analysis software (i.e., Systematic Analysis of Language Transcripts and Child Language Exchange System) and Realize Language. Conclusion Although the language samples took longer to complete relative to verbal controls, the information obtained from language sample collection and analysis provided valuable insight into the language system of the two participants that would not be revealed through standardized language assessment, including the distribution of their parts of speech and syntactic complexity. Given the important clinical data that may be obtained through language sample collection and analysis, we propose strategies to enable clinicians to overcome previously identified challenges.

摘要

目的 语言样本的采集和分析为那些可能不适合标准化测试的个体的语言能力提供了重要信息,例如使用辅助和替代性沟通(AAC)的人。尽管具有临床实用性,但由于各种挑战,语言样本的采集和分析尚未完全纳入 AAC 个体的评估中。本研究旨在探讨语言样本采集和分析在提供临床相关信息方面的能力,并探索为 AAC 个体规避语言样本采集和分析挑战的方法。方法 本研究对两名 AAC 个体(一名儿童和一名成人)的叙述进行了案例研究。使用手动计算和计算机化语言样本分析软件(即语言转录系统分析和儿童语言交流系统以及 Realize Language)进行了分析。结论 尽管语言样本的完成时间相对于口头控制组要长,但从语言样本采集和分析中获得的信息为两位参与者的语言系统提供了有价值的见解,这些信息是通过标准化语言评估无法揭示的,包括他们的词性分布和句法复杂性。鉴于通过语言样本采集和分析可能获得的重要临床数据,我们提出了一些策略,以使临床医生能够克服之前确定的挑战。

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