Abstract
Applying Main Concept Analysis (MCA) to analyze spoken discourse by Cantonese speakers with aphasia and unimpaired individuals
Highlights
● Main Concept Analysis (MCA; Nicholas & Brookshire, 1995) is a content-based analytic approach that focuses on the quantification of presence, accuracy, and completeness of essential information in oral discourse by persons with aphasia (PWAs)
A main concept should contain only one main verb and provide an outline of the gist depicted in a picture, or an outline of the essential steps in a procedure
Language samples were extracted from the Cantonese AphasiaBank Ø 150 neurologically-unimpaired native Cantonese speakers Ø 105 PWAs
Summary
● Main Concept Analysis (MCA; Nicholas & Brookshire, 1995) is a content-based analytic approach that focuses on the quantification of presence, accuracy, and completeness of essential information in oral discourse by persons with aphasia (PWAs). ● Kong (2009, 2011, 2016) and Richardson and Dalton (2016) Ø more comprehensive and multilevel coding of PWAs’ spoken output Ø able to distinguish PWAs from controls using single and sequenced pictures, in English (Kong, Whiteside, & Bargmann, 2016; Nicholas & Brookshire, 1993, 1995), Cantonese (Kong, 2009), and Mandarin (Kong & Yeh, 2015). A main concept should contain only one main verb and provide an outline of the gist depicted in a picture, or an outline of the essential steps in a procedure. 1. # of Accurate and Complete (AC) concepts E.g. The man (tried to) save the girl. 4. # of Inaccurate and Incomplete (II) concepts E.g. The girl tried to save. 5. # of Absent (AB) concepts E.g. none of the essential information in a main concept is given
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