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Assessing Language in Unstructured Conversation in People With Aphasia: Methods, Psychometric Integrity, Normative Data, and Comparison to a Structured Narrative Task.

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Title: Assessing Language in Unstructured Conversation in People With Aphasia: Methods, Psychometric Integrity, Normative Data, and Comparison to a Structured Narrative Task.
Authors: Leaman, Marion C.1 mleaman@kumc.edu, Edmonds, Lisa A.2
Source: Journal of Speech, Language & Hearing Research. Nov2021, Vol. 64 Issue 11, p4344-4365. 22p. 1 Diagram, 6 Charts.
Subject Terms: *Language research, *Conversation, *Inter-observer reliability, *Aphasia, *Speech evaluation, *Comparative grammar, *Cognition, *Books, *Discourse analysis, *Statistical correlation, *Data analysis, *Intelligence tests, Aphasic persons, Psychometrics, Linguistics, Statistical reliability, Reliability (Personality trait), Statistics, Confidence intervals, Task performance, T-test (Statistics), Research funding, Repeated measures design, Data analysis software
Abstract: Purpose: This study evaluated interrater reliability (IRR) and test-retest stability (TRTS) of seven linguistic measures (percent correct information units, relevance, subject-verb- [object], complete utterance, grammaticality, referential cohesion, global coherence), and communicative success in unstructured conversation and in a story narrative monologue (SNM) in persons with aphasia (PWAs) and matched participants without aphasia (M-PWoAs). Furthermore, the relationship of language in unstructured conversation and SNM was investigated for these measures. Methods: Twenty PWAs and 20 M-PWoAs participated in two unstructured conversations on different days with different speech-language pathologists trained as social conversation partners. An 8- to 12-min segment of each conversation was analyzed. Additionally, a wordless picture book was used to elicit an SNM sample at each visit. Correlational analyses were conducted to address the primary research questions. Normative range and minimal detectable change data were also calculated for the measures in both conditions. Results: IRR and TRTS were moderate to good for parametric measures and moderate to excellent for nonparametric measures for both groups, except for TRTS for referential cohesion for the PWAs in conversation. Furthermore, in PWAs, a strong correlation was demonstrated for three of eight measures across conditions. Moderate or weaker correlations were demonstrated for three of eight measures, and correlations for two of eight measures were not significant. An ancillary finding was no significant differences occurred for sample-to-sample variability between the two conditions for any measure. Conclusions: This study replicates previous research demonstrating the feasibility to reliably measure language in unstructured conversation in PWAs. Furthermore, this study provides preliminary evidence that language production varies for some measures between unstructured conversation and SNM, contributing to a literature base that demonstrates language variation between different types of monologue. Thus, these findings suggest that inclusion of the specific types of discourse of interest to the PWA may be important for comprehensive assessment of aphasia. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Assessing Language in Unstructured Conversation in People With Aphasia: Methods, Psychometric Integrity, Normative Data, and Comparison to a Structured Narrative Task.
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  Data: <searchLink fieldCode="AR" term="%22Leaman%2C+Marion+C%2E%22">Leaman, Marion C.</searchLink><relatesTo>1</relatesTo><i> mleaman@kumc.edu</i><br /><searchLink fieldCode="AR" term="%22Edmonds%2C+Lisa+A%2E%22">Edmonds, Lisa A.</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Speech%2C+Language+%26+Hearing+Research%22">Journal of Speech, Language & Hearing Research</searchLink>. Nov2021, Vol. 64 Issue 11, p4344-4365. 22p. 1 Diagram, 6 Charts.
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– Name: Abstract
  Label: Abstract
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  Data: Purpose: This study evaluated interrater reliability (IRR) and test-retest stability (TRTS) of seven linguistic measures (percent correct information units, relevance, subject-verb- [object], complete utterance, grammaticality, referential cohesion, global coherence), and communicative success in unstructured conversation and in a story narrative monologue (SNM) in persons with aphasia (PWAs) and matched participants without aphasia (M-PWoAs). Furthermore, the relationship of language in unstructured conversation and SNM was investigated for these measures. Methods: Twenty PWAs and 20 M-PWoAs participated in two unstructured conversations on different days with different speech-language pathologists trained as social conversation partners. An 8- to 12-min segment of each conversation was analyzed. Additionally, a wordless picture book was used to elicit an SNM sample at each visit. Correlational analyses were conducted to address the primary research questions. Normative range and minimal detectable change data were also calculated for the measures in both conditions. Results: IRR and TRTS were moderate to good for parametric measures and moderate to excellent for nonparametric measures for both groups, except for TRTS for referential cohesion for the PWAs in conversation. Furthermore, in PWAs, a strong correlation was demonstrated for three of eight measures across conditions. Moderate or weaker correlations were demonstrated for three of eight measures, and correlations for two of eight measures were not significant. An ancillary finding was no significant differences occurred for sample-to-sample variability between the two conditions for any measure. Conclusions: This study replicates previous research demonstrating the feasibility to reliably measure language in unstructured conversation in PWAs. Furthermore, this study provides preliminary evidence that language production varies for some measures between unstructured conversation and SNM, contributing to a literature base that demonstrates language variation between different types of monologue. Thus, these findings suggest that inclusion of the specific types of discourse of interest to the PWA may be important for comprehensive assessment of aphasia. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1044/2021_JSLHR-20-00641
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 4344
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      – SubjectFull: Language research
        Type: general
      – SubjectFull: Conversation
        Type: general
      – SubjectFull: Inter-observer reliability
        Type: general
      – SubjectFull: Aphasia
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      – SubjectFull: Speech evaluation
        Type: general
      – SubjectFull: Comparative grammar
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      – SubjectFull: Books
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      – SubjectFull: Discourse analysis
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      – SubjectFull: Statistical correlation
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      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Intelligence tests
        Type: general
      – SubjectFull: Aphasic persons
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      – SubjectFull: Psychometrics
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      – SubjectFull: Linguistics
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      – SubjectFull: Statistical reliability
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      – SubjectFull: Statistics
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      – SubjectFull: Confidence intervals
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      – SubjectFull: Task performance
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      – SubjectFull: T-test (Statistics)
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      – SubjectFull: Research funding
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      – SubjectFull: Repeated measures design
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      – SubjectFull: Data analysis software
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              Text: Nov2021
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