Consistency and reliability of automated language measures across expressive language samples in autism Article Swipe
Heather MacFarlane
,
Alexandra C. Salem
,
Steven Bedrick
,
Jill K. Dolata
,
Jack Wiedrick
,
Grace O. Lawley
,
Lizbeth H. Finestack
,
Sara T. Kover
,
Angela John Thurman
,
Leonard Abbeduto
,
Éric Fombonne
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/aur.2897
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/aur.2897
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with substantial clinical heterogeneity, especially in language and communication ability. There is a need for validated language outcome measures that show sensitivity to true change for this population. We used Natural Language Processing to analyze expressive language transcripts of 64 highly‐verbal children and young adults (age: 6–23 years, mean 12.8 years; 78.1% male) with ASD to examine the validity across language sampling context and test‐retest reliability of six previously validated Automated Language Measures (ALMs), including Mean Length of Utterance in Morphemes, Number of Distinct Word Roots, C‐units per minute, unintelligible proportion, um rate, and repetition proportion. Three expressive language samples were collected at baseline and again 4 weeks later. These samples comprised interview tasks from the Autism Diagnostic Observation Schedule (ADOS‐2) Modules 3 and 4, a conversation task, and a narration task. The influence of language sampling context on each ALM was estimated using either generalized linear mixed‐effects models or generalized linear models, adjusted for age, sex, and IQ. The 4 weeks test‐retest reliability was evaluated using Lin's Concordance Correlation Coefficient (CCC). The three different sampling contexts were associated with significantly ( P < 0.001) different distributions for each ALM. With one exception (repetition proportion), ALMs also showed good test‐retest reliability (median CCC: 0.73–0.88) when measured within the same context. Taken in conjunction with our previous work establishing their construct validity, this study demonstrates further critical psychometric properties of ALMs and their promising potential as language outcome measures for ASD research.
Related Topics
Concepts
Autism Diagnostic Observation Schedule
Psychology
Autism
Autism spectrum disorder
Context (archaeology)
Morpheme
Mean length of utterance
Concordance
Population
Reliability (semiconductor)
Developmental psychology
Audiology
Language development
Natural language processing
Computer science
Medicine
Power (physics)
Quantum mechanics
Paleontology
Environmental health
Internal medicine
Physics
Biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/aur.2897
- OA Status
- green
- Cited By
- 8
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4318755671
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4318755671Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/aur.2897Digital Object Identifier
- Title
-
Consistency and reliability of automated language measures across expressive language samples in autismWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-01Full publication date if available
- Authors
-
Heather MacFarlane, Alexandra C. Salem, Steven Bedrick, Jill K. Dolata, Jack Wiedrick, Grace O. Lawley, Lizbeth H. Finestack, Sara T. Kover, Angela John Thurman, Leonard Abbeduto, Éric FombonneList of authors in order
- Landing page
-
https://doi.org/10.1002/aur.2897Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://pmc.ncbi.nlm.nih.gov/articles/PMC10123085/pdf/nihms-1868790.pdfDirect OA link when available
- Concepts
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Autism Diagnostic Observation Schedule, Psychology, Autism, Autism spectrum disorder, Context (archaeology), Morpheme, Mean length of utterance, Concordance, Population, Reliability (semiconductor), Developmental psychology, Audiology, Language development, Natural language processing, Computer science, Medicine, Power (physics), Quantum mechanics, Paleontology, Environmental health, Internal medicine, Physics, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 2, 2023: 3Per-year citation counts (last 5 years)
- References (count)
-
54Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W1684631486, https://openalex.org/W3012950246, https://openalex.org/W4247665917, https://openalex.org/W2807525941, https://openalex.org/W2530415750, https://openalex.org/W2007832365, https://openalex.org/W4229440279, https://openalex.org/W2774363489, https://openalex.org/W2032887226, https://openalex.org/W1971231878, https://openalex.org/W2328176404, https://openalex.org/W4225773825, https://openalex.org/W2134771136, https://openalex.org/W2155596242, https://openalex.org/W2251815341, https://openalex.org/W2310012311, https://openalex.org/W1999465661, https://openalex.org/W3013211586, https://openalex.org/W4225146923, https://openalex.org/W2099756352, https://openalex.org/W3146278191, https://openalex.org/W1981747359, https://openalex.org/W2167197543, https://openalex.org/W2016289889, https://openalex.org/W2091695556, https://openalex.org/W4225290522, https://openalex.org/W2149860264, https://openalex.org/W2313339984, https://openalex.org/W1551699487, https://openalex.org/W2144446993, https://openalex.org/W3175325657, https://openalex.org/W4254797929, https://openalex.org/W4224308168, https://openalex.org/W2036277466, https://openalex.org/W2948014298, https://openalex.org/W2054994122, https://openalex.org/W2128884480, https://openalex.org/W2801490189, https://openalex.org/W2471087218, https://openalex.org/W3018412114, https://openalex.org/W2344716862, https://openalex.org/W3165069738, https://openalex.org/W3003097009, https://openalex.org/W1980981374, https://openalex.org/W2142548379, https://openalex.org/W3145016467, https://openalex.org/W2116294964, https://openalex.org/W4246784033, https://openalex.org/W4223480641, https://openalex.org/W4243191312, https://openalex.org/W2582743722, https://openalex.org/W4226421830, https://openalex.org/W2797728052, https://openalex.org/W4301351914 |
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