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Hits 1 – 11 of 11

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Current practices discourse assessment & analysis (Stark et al., 2021) ...
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Current practices discourse assessment & analysis (Stark et al., 2021) ...
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3
Implementation of discourse analysis in aphasia: investigating the feasibility of a Knowledge-to-Action intervention
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4
A how-to guide to aphasia services: celebrating Professor Linda Worrall’s contribution to the field
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5
Investigating the implementation of linguistic discourse analysis for the assessment of aphasia in speech pathology practice
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6
Clinical use of linguistic discourse analysis for the assessment of language in aphasia
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7
Linguistic analysis of discourse in aphasia: a review of the literature
Ferguson, Alison; Spencer, Elizabeth; Bryant, Lucy. - : Taylor & Francis, 2016
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Propositional Idea Density in aphasic discourse
In: Aphasiology. - London [u.a.] : Routledge, Taylor & Francis Group 27 (2013) 8, 992-1009
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9
Propositional Idea Density in aphasic discourse
Bryant, Lucy; Spencer, Elizabeth; Ferguson, Alison. - : Taylor & Francis, 2013
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10
Propositional Idea Density: Computerized analysis to determine effects of presence and severity of aphasia
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11
Propositional Idea Density in aphasic discourse
Abstract: Background: Measuring and describing the effects of aphasia on the informativeness of language is a complex process. Due to technological advances in the recent years, the processes involved in the measurement of language can be automated through the use of computerised analyses. In the present research, the Computerized Propositional Idea Density Rater (CPIDR 3.2) provides an automated method for calculating Propositional Idea Density (PD), a measure which has been shown to be sensitive to the effects of ageing and dementia. The measure of PD quantifies the proportion of words within a text that are semantically intrinsic to its overall meaning. Aims: This research investigated the extent to which PD measures were different in aphasic and non-aphasic discourse, and the extent to which PD correlated with the severity of aphasia and with the established measures of other aspects of informativeness. Given the previously reported high levels of agreement between the computerised analysis and human raters, it was hypothesised that there would be high levels of agreement between the computerised analysis and human judgements for aphasic (as well as non-aphasic) discourse. Methods & Procedures: Data from the Goals in Aphasia Project were analysed for the purposes of the present research. De-identified transcriptions of 50 interviews with individuals with aphasia and 49 interviews with their family members were stripped of all interviewer data, leaving only conversational contributions made by the participants. These formatted transcripts were analysed using two automated, computerised language analysis tools: CPIDR 3.2) and Systematic Analysis of Language Transcripts (SALT Version 8) for a range of other discourse measures. Outcomes & Results: Results showed a significant difference in PD (p
Keyword: 1203 Language and Linguistics; 2728 Clinical Neurology; 2733 Otorhinolaryngology; 2808 Neurology; 2912 LPN and LVN; 3204 Developmental and Educational Psychology; 3310 Linguistics and Language; Aphasia; Cognitive function; Connected speech; Decline; Discourse; Idea density; Language; Late-life; Lexical diversity; Linguistic ability; Nun; Propositional density
URL: https://espace.library.uq.edu.au/view/UQ:308052
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