Accurately Identifying Language Disorder in School-Age Children Using Dynamic Assessment of Narrative Language.
Purpose: Several studies have demonstrated that dynamic assessment can be a less biased, valid approach for the identification of language disorder among diverse school-age children. However, all prior studies have included a relatively small number of participants, which is generally not adequate f...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 67; no. 12; pp. 4765 - 4783 |
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| Autores principales: | , , , , , , , |
| Formato: | Artículo |
| Publicado: |
American Speech-Language-Hearing Association
Dec2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=181519712&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 181519712 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Dec2024 vid: 67 iid: 12 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 181519712 10.1044/2024_JSLHR-23-00594 ppf: 4765 ppct: 18 formats: fmt: @attributes: type: P size: 917KB tig: atl: Accurately Identifying Language Disorder in School-Age Children Using Dynamic Assessment of Narrative Language. aug: au: Petersen, Douglas B. Konishi-Therkildsen, Alisa Clark, Kallie Dawn DeRobles, Anahi Kamila Frahm, Ashley Elizabeth Jones, Kristi Lettich, Camryn Spencer, Trina D. affil: University of Wyoming, Laramie Rockwall Independent School District, TX Nebo School District, Springville, UT Brigham Young University, Provo, UT Utah State University, Logan University of Kansas, Lawrence su: United States Cross-sectional method African Americans Sex distribution Hispanic Americans Age distribution White people Race Multilingualism School children Rural conditions Metropolitan areas Case-control method Language acquisition Communication barriers Native Americans Children Language disorder diagnosis T-test (Statistics) Receiver operating characteristic curves Research evaluation Logistic regression analysis Descriptive statistics Odds ratio Speech evaluation Confidence intervals Sensitivity & specificity (Statistics) Behavioral assessment sug: subj: Cross-sectional method African Americans Sex distribution Hispanic Americans Age distribution White people Race Multilingualism School children Rural conditions Metropolitan areas Case-control method Language acquisition Communication barriers Native Americans Children United States Language disorder diagnosis T-test (Statistics) Receiver operating characteristic curves Research evaluation Logistic regression analysis Descriptive statistics Odds ratio Speech evaluation Confidence intervals Sensitivity & specificity (Statistics) Behavioral assessment ab: Purpose: Several studies have demonstrated that dynamic assessment can be a less biased, valid approach for the identification of language disorder among diverse school-age children. However, all prior studies have included a relatively small number of participants, which is generally not adequate for psychometric research. This is the first large-scale study to (a) examine whether a dynamic assessment of narrative language yields indifferent outcomes regardless of several demographic variables including age, race/ethnicity, multilingualism, or gender; (b) examine the sensitivity and specificity of the dynamic assessment of language among a large sample of students with and without language disorder; and (c) identify specific cut-points by grade to provide clinically useful data. Method: Participants included 634 diverse first- through fifth-grade students with and without language learning disorder. Students were confirmed as having a language disorder using a triangulation technique involving several sources of data. A dynamic assessment of narrative language, which took approximately 10 min, was administered to all students. Results: Results indicated that the dynamic assessment had excellent (> 90%) sensitivity and specificity and that modifiability scores were not meaningfully different across any of the demographic variables. Conclusions: The dynamic assessment of narrative language accurately identified language disorder across all student demographic groups. These findings suggest that dynamic assessment may provide less biased classification than traditional, static forms of assessment. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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