Speed of Processing, Working Memory, and Language Impairment in Children.
Purpose: Children with language impairment (LI) often perform below the level of typically developing peers on measures of both processing speed and working memory. This study examined the relationship between these 2 types of measures and attempted to determine whether such measures can account for...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 50; no. 2; pp. 408 - 429 |
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| Autores principales: | , , |
| Formato: | Artículo |
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American Speech-Language-Hearing Association
April 2007
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| 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=507969966&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507969966 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: April 2007 vid: 50 iid: 2 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 507969966 10.1044/1092-4388(2007/029) ppf: 408 ppct: 21 formats: fmt: – @attributes: type: T – @attributes: type: P size: 506KB tig: atl: Speed of Processing, Working Memory, and Language Impairment in Children. aug: au: Leonard, Laurence B. Weismer, Susan Ellis Miller, Carol A. su: Human information processing Memory trace (Psychology) Children's language Children with learning disabilities Psychology sug: subj: Human information processing Memory trace (Psychology) Children's language Children with learning disabilities Psychology ab: Purpose: Children with language impairment (LI) often perform below the level of typically developing peers on measures of both processing speed and working memory. This study examined the relationship between these 2 types of measures and attempted to determine whether such measures can account for the U itself. Method: Fourteen-year-old children with U and their typically developing peers participated in a wide range of processing speed and working memory tasks and were administered a comprehensive language test battery. Confirmatory factor analyses were used to compare 3 nested models designed to examine the dimensionality of the speed and working memory measures. A model that included a general speed factor was also evaluated. Results: The models meeting our evaluation criteria treated speed and working memory as separable factors. Furthermore, nonverbal as well as verbal processing factors emerged from these analyses. Latent variable regression analyses showed that each of the appropriate models accounted for 62% of the variance in the children's concurrent composite language test scores, with verbal working memory making the largest contribution. Conclusions: These findings shed light on the relationship among different types of processing and suggest that processing factors can contribute to the understanding of language disorders. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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