Analysis of observational data in speech and language research using generalizability theory.
Most research in speech-language pathology relies on observational data collected by human observers or judges. The reliability and generalizability of such measurements are always important considerations. This article reviews classical methods of estimating reliability and proposes that a more pow...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 41; no. 6; pp. 1341 - 1348 |
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| Autor principal: | |
| Formato: | equations & formulas review tables/charts Journal Article |
| Publicado: |
American Speech-Language-Hearing Association
Dec1998
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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=ccm&AN=107180457&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 107180457 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Dec1998 vid: 41 iid: 6 pid: 42 pub: American Speech-Language-Hearing Association place: Rockville, Maryland artinfo: ui: 107180457 107180457 1999027733 10.1044/jslhr.4106.1341 NLM9859889 107180457 ppf: 1341 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Analysis of observational data in speech and language research using generalizability theory. aug: au: Scarsellone JM affil: University of Alberta, Rehab Medicine, 3-48 Corbett Hall, Edmonton, Alberta T6G 2G4, Canada sug: subj: Research, Speech-Language-Hearing Therapy Observational Methods Data Analysis Analysis of Variance Interrater Reliability Intrarater Reliability ab: Most research in speech-language pathology relies on observational data collected by human observers or judges. The reliability and generalizability of such measurements are always important considerations. This article reviews classical methods of estimating reliability and proposes that a more powerful approach capable of estimating the dependability of behavioral measurements is available. This approach, based on generalizability theory, provides a practical framework for estimating multiple sources of measurement error in the collection of observational data. Concepts central to generalizability theory are discussed, and a hypothetical data set illustrates the usefulness of generalizability measurements in speech and language research. pubtype: Academic Journal doctype: equations & formulas review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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