Literature DB >> 22904592

Productive vocabulary across discourse types.

Gerasimos Fergadiotis1, Heather Harris Wright, Gilson J Capilouto.   

Abstract

AIMS: The goals of the study were (a) to examine the effect of discourse type on lexical diversity by testing whether there are significant differences among language samples elicited using four discourse tasks (procedures, eventcasts, story telling, and recounts); and (b) to assess the extent to which age influences lexical diversity when different types of discourse are elicited. METHODS #ENTITYSTARTX00026; PROCEDURES: A total of 86 cognitively healthy adults participated in the study and comprised two groups - young adults (20-29 years old) and older adults (70-89 years old). Participants completed the discourse tasks and their language samples were analysed using dedicated software (voc-D) to obtain estimates of their lexical diversity. OUTCOMES #ENTITYSTARTX00026;
RESULTS: A mixed 2 × 4 ANOVA was conducted and followed by an investigation of simple main effects. A lexical diversity hierarchy was established that was similar for both age groups. The study also uncovered age-related differences that were evident when the stimuli were verbally presented but were eliminated when the language samples were elicited using pictorial stimuli.
CONCLUSIONS: Results indicated that lexical diversity is one of the microlinguistic indices that are influenced by discourse type and age, a finding that carries important methodological implications. Future investigations are warranted to explore the patterns of lexical diversity in individuals with neurogenic language disorders and assess the clinical utility of measures of lexical diversity.

Entities:  

Year:  2011        PMID: 22904592      PMCID: PMC3419587          DOI: 10.1080/02687038.2011.606974

Source DB:  PubMed          Journal:  Aphasiology        ISSN: 0268-7038            Impact factor:   2.773


  16 in total

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3.  Age-related differences in the production of textual descriptions.

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5.  Narrative speech in aging: quantity, information content, and cohesion.

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Journal:  Brain Lang       Date:  2005-12       Impact factor: 2.381

6.  Age-related differences in cognition: the role of distraction control.

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7.  Trying to tell a tale: discourse impairments in progressive aphasia and frontotemporal dementia.

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Journal:  Neurology       Date:  2006-05-09       Impact factor: 9.910

8.  A system for quantifying the informativeness and efficiency of the connected speech of adults with aphasia.

Authors:  L E Nicholas; R H Brookshire
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9.  Production of narrative and procedural discourse in aphasia.

Authors:  H K Ulatowska; A J North; S Macaluso-Haynes
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Journal:  Am J Speech Lang Pathol       Date:  2008-05       Impact factor: 2.408

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  17 in total

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2.  Evaluating measures of global coherence ability in stories in adults.

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Review 3.  Do age-related word retrieval difficulties appear (or disappear) in connected speech?

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4.  Concurrent Validity and Reliability of the Core Lexicon Measure as a Measure of Word Retrieval Ability in Aphasia Narratives.

Authors:  Hana Kim; Heather Harris Wright
Journal:  Am J Speech Lang Pathol       Date:  2019-11-05       Impact factor: 2.408

5.  Measuring discourse coherence in anomic aphasia using Rhetorical Structure Theory.

Authors:  Anthony Pak-Hin Kong; Anastasia Linnik; Sam-Po Law; Waisa Wai-Man Shum
Journal:  Int J Speech Lang Pathol       Date:  2017-03-17       Impact factor: 2.484

6.  Microlinguistic processes that contribute to the ability to relay main events: influence of age.

Authors:  Gilson J Capilouto; Heather Harris Wright; Katherine McComas Maddy
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2015-12-10

7.  Considering a multi-level approach to understanding maintenance of global coherence in adults with aphasia.

Authors:  Heather Harris Wright; Gilson J Capilouto
Journal:  Aphasiology       Date:  2012-05-10       Impact factor: 2.773

8.  AphasiaBank: Methods for Studying Discourse.

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9.  Lexical diversity for adults with and without aphasia across discourse elicitation tasks.

Authors:  Gerasimos Fergadiotis; Heather Harris Wright
Journal:  Aphasiology       Date:  2011-10-24       Impact factor: 2.773

10.  Manual Versus Automated Narrative Analysis of Agrammatic Production Patterns: The Northwestern Narrative Language Analysis and Computerized Language Analysis.

Authors:  Chien-Ju Hsu; Cynthia K Thompson
Journal:  J Speech Lang Hear Res       Date:  2018-02-15       Impact factor: 2.297

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