The Misdiagnosis of Speech Sound Disorders in Spanish-speaking Preschoolers Acquiring African American English
学习非裔美国英语的西班牙语学龄前儿童语音障碍的误诊
基本信息
- 批准号:9760513
- 负责人:
- 金额:$ 4.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-06-17 至 2021-06-16
- 项目状态:已结题
- 来源:
- 关键词:AddressAdministratorAfrican AmericanAmericanAmerican Speech-Language-Hearing AssociationArizonaArticulationCharacteristicsChildClinicalCommunitiesComputer softwareCountryDataData CollectionDevelopmentDiagnosticDiseaseEducationEducational CurriculumEvaluationExposure toFellowshipGoalsHealthHispanic AmericansLanguageLatinoLinguisticsLitigationMainstreamingMeasuresMentorshipMinorityMorphologyNorth CarolinaPathologistPatternPerformancePhoneticsPopulationProductionProtocols documentationRehabilitation therapyReportingResearchResearch PersonnelResearch TrainingSamplingSchoolsService delivery modelServicesSpecial EducationSpeechSpeech DisordersSpeech SoundSpeech-Language PathologyStandardizationStudentsTestingTheoretical modelTrainingVariantaccurate diagnosisbaseevidence baseexpectationpeerphonologypredictive modelingpressurepreventprogramspublic educationschool districtstandard measurestatisticstooltraining opportunitywasting
项目摘要
Project Summary/Abstract
According to the the Rehabilitation Act of 1973, Section 504, every child is entitled to a free and appropriate
public education; however, that is not always the case for many African American and Latino children. Children
from under-represented backgrounds are often misdiagnosed with speech sound disorders due to limited
research and training in linguistic diversity (American Speech-Language-Hearing Association, 2017). When
children are misdiagnosed with speech sound disorders, they receive therapy services they do not need. As a
result, linguistically diverse children are pulled out of their classrooms and miss general education curriculum.
Not only does it waste taxpayers’ dollars, it results in the under-education of a large segment of our student
population. Misdiagnosis of speech sound disorders occurs when speech-language pathologists do not have
the right evaluation tools to accurately diagnose children who speak a dialect of English that is unfamiliar to
them. Therefore, this research will (1) develop a theoretical model that predicts the language change that
occurs when different dialects come in contact with one another and (2) document the dialect of English that
emerges when African American and Latino children live and go to school together in order to develop
accurate diagnostic criteria for speakers of this dialect. Speech samples from African American and Latino
children will be transcribed and analyzed for production patterns. By comparing these children’s speech
production to that of their peers who speak Standard American English on current standard measures of
speech sound ability, I will not only be able to characterize typical speech and disordered speech in speakers
of this dialect, but develop the diagnostic criteria that speech-language pathologists need to make accurate
diagnoses and prevent children from missing out on the education they deserve. This fellowship includes
mentorship and training opportunities with an interdisciplinary team of researchers across the country,
including the two data collection regions - Tucson, Arizona and Raleigh-Durham, North Carolina. The training
goals for this fellowship include training in statistics and phonetics software programs as well as training in the
development of diagnostic assessment protocols.
项目概要/摘要
根据 1973 年《康复法》第 504 条,每个儿童都有权获得免费且适当的康复服务
公共教育;然而,对于许多非裔美国人和拉丁裔儿童来说情况并非总是如此。
由于有限的背景,来自代表性不足的背景的人经常被误诊为言语声音障碍。
语言多样性的研究和培训(美国言语听力协会,2017)。
儿童被误诊为言语障碍,他们接受了不需要的治疗服务。
结果,语言不同的孩子被赶出了教室,错过了普通教育课程。
这不仅浪费了纳税人的钱,还导致我们很大一部分学生教育不足
当言语病理学家没有能力时,就会发生言语声音障碍的误诊。
正确的评估工具可以准确诊断说不熟悉的英语方言的孩子
因此,本研究将(1)开发一个预测语言变化的理论模型。
当不同的方言相互接触时就会发生这种情况,并且 (2) 记录以下英语方言:
当非裔美国人和拉丁裔儿童一起生活和上学以求发展时就会出现
来自非裔美国人和拉丁美洲人的语音样本的准确诊断标准。
通过比较这些孩子的言语,将对其进行转录和分析。
按照当前标准衡量标准,其产出与讲标准美式英语的同龄人相比
语音能力,我不仅能够表征说话者的典型语音和无序语音
语言病理学家需要制定准确的诊断标准
诊断并防止儿童错过他们应得的教育。
全国跨学科研究团队的指导和培训机会,
包括两个数据收集区域——亚利桑那州图森市和北卡罗来纳州罗利-达勒姆市。
该奖学金的目标包括统计和语音软件程序方面的培训以及
制定诊断评估方案。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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