Assessing Functional Language in School-Aged Children Using Language Sample Analysis.

Purpose: The goal of this clinical focus article is to illustrate how speech-language pathologists can document the functional language of school-age children using language sample analysis (LSA). Advances in computer hardware and software are detailed making LSA more accessible for clinical use. Me...

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Publicado en:Perspectives of the ASHA Special Interest Groups Vol. 5; no. 3; pp. 622 - 637
Autores principales: Heilmann, John, Tucci, Alexander, Plante, Elena, Miller, Jon F.
Formato: review tables/charts Journal Article
Publicado: American Speech-Language-Hearing Association Jun2020
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2020
      vid: 5
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      pub: American Speech-Language-Hearing Association
      place: Rockville, Maryland
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        10.1044/2020_PERSP-19-00079
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        atl: Assessing Functional Language in School-Aged Children Using Language Sample Analysis.
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        au:
          Heilmann, John
          Tucci, Alexander
          Plante, Elena
          Miller, Jon F.
        affil: Department of Communication Sciences & Disorders, University of Wisconsin-Milwaukee
      sug:
        subj:
          Speech and Language Assessment In Infancy and Childhood
          Child
          Child, Preschool
          Adolescence
          Students, High School
          Students, Elementary
          Schools, Nursery
          Child: 6-12 years
          Child, Preschool: 2-5 years
          Adolescent: 13-18 years
      ab: Purpose: The goal of this clinical focus article is to illustrate how speech-language pathologists can document the functional language of school-age children using language sample analysis (LSA). Advances in computer hardware and software are detailed making LSA more accessible for clinical use. Method: This clinical focus article illustrates how documenting school-age student's communicative functioning is central to comprehensive assessment and how using LSA can meet multiple needs within this assessment. LSA can document students' meaningful participation in their daily life through assessment of their language used during everyday tasks. The many advances in computerized LSA are detailed with a primary focus on the Systematic Analysis of Language Transcripts (Miller & Iglesias, 2019). The LSA process is reviewed detailing the steps necessary for computers to calculate word, morpheme, utterance, and discourse features of functional language. Conclusion: These advances in computer technology and software development have made LSA clinically feasible through standardized elicitation and transcription methods that improve accuracy and repeatability. In addition to improved accuracy, validity, and reliability of LSA, databases of typical speakers to document status and automated report writing more than justify the time required. Software now provides many innovations that make LSA simpler and more accessible for clinical use. Supplemental Material: https://doi.org/10.23641/asha. 12456719
      pubtype: Academic Journal
      doctype:
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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