Analyzing Written Communication in AAC Contexts: A Statistical Perspective.
This research note focuses on some of the opportunities provided by the statistical analysis of textual data, by illustrating examples of the use of lexicon-based quantitative measures with texts within a particular context of augmentative and alternative communication. The corpus is composed of 12...
| Publicado en: | AAC: Augmentative & Alternative Communication Vol. 27; no. 3; pp. 183 - 195 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Sep2011
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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=104704328&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104704328 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07434618 9OD jtl: AAC: Augmentative & Alternative Communication issn: 07434618 maglogo: Y pubinfo: dt: Sep2011 vid: 27 iid: 3 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 104704328 66697357 10.3109/07434618.2011.610353 NLM22008031 104704328 ppf: 183 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Analyzing Written Communication in AAC Contexts: A Statistical Perspective. aug: au: Bernardi, Lorenzo Tuzzi, Arjuna sug: subj: Communication Alternative and Augmentative Communication Written Language Evaluation Human Statistics Research Methodology ab: This research note focuses on some of the opportunities provided by the statistical analysis of textual data, by illustrating examples of the use of lexicon-based quantitative measures with texts within a particular context of augmentative and alternative communication. The corpus is composed of 12 essays produced by six individuals with autism and six participants without disabilities in a control group during sessions of facilitated communication. The study raises questions that can be answered thanks to the statistical methods implemented in the text analysis framework and other procedures that may be used to identify the characteristics of texts (and their writers) and compare texts (or subcorpora). The aim is to discuss strengths, weaknesses, opportunities, and threats of the approach and to highlight its connections to qualitative approaches. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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