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 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.
Department of Sociology, University of Padua, Padova, Italy.
Lorenzo
L
Bernardi
Arjuna
A
Tuzzi
D000293:Adolescent; D000328:Adult; D016022:Case-Control Studies; D002648:Child; D002659:Child Development Disorders, Pervasive / Q000175:diagnosis / Q000523:psychology / Q000534:rehabilitation*; D003143:Communication Devices for People with Disabilities / Q000706:statistics & numerical data*; D003145:Communication Methods, Total; D005260:Female; D006801:Humans; D008297:Male; D008432:Mathematical Computing; D015233:Models, Statistical; D012016:Reference Values; D012660:Semantics; D014825:Vocabulary; D014956:Writing