Reconceptualizing developmental language disorder as a spectrum disorder: issues and evidence Article Swipe
Hope Sparks Lancaster
,
Stephen Camarata
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1111/1460-6984.12433
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1111/1460-6984.12433
Background There is considerable variability in the presentation of developmental language disorder (DLD). Disagreement amongst professionals about how to characterize and interpret the variability complicates both the research on understanding the nature of DLD and the best clinical framework for diagnosing and treating children with DLD. We describe and statistically examine three primary possible models for characterizing the variability in presentation in DLD: predictable subtypes; individual differences; and continuum/spectrum. Aims To test these three models of DLD in a population‐based sample using two distinct types of cluster analyses. Methods & Procedures This study included children with DLD ( n = 505) from the US Epidemiological Study of Language Impairment database. All available language and cognitive measures were included. Two cluster methods were used: Ward's method and K ‐means. Optimal cluster sizes were selected using Bayesian information criteria (BIC). Bootstrapping and permutation methods were used to evaluate randomness of clustering. Outcomes & Results Both clustering analyses yielded more than 10 clusters, and the clusters did not have spatial distinction: many of these clusters were not clinically interpretable. However, tests of random clustering revealed that the cluster solutions obtained did not arise from random aggregation. Conclusions & Implications Non‐random clustering coupled with a large number of non‐interpretable subtypes provides empirical support for the continuum/spectrum and individual differences models. Although there was substantial support for the continuum/spectrum model and weaker support for the individual differences model, additional research testing these models should be completed. Based on these results, clinicians working with children with DLD should focus on creating treatment plans that address the severity of functioning rather than seeking to identify and treat distinct subtypes. Additional consideration should be given to reconceptualizing DLD as a spectrum condition.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/1460-6984.12433
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1460-6984.12433
- OA Status
- bronze
- Cited By
- 57
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2901701202
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2901701202Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/1460-6984.12433Digital Object Identifier
- Title
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Reconceptualizing developmental language disorder as a spectrum disorder: issues and evidenceWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-11-13Full publication date if available
- Authors
-
Hope Sparks Lancaster, Stephen CamarataList of authors in order
- Landing page
-
https://doi.org/10.1111/1460-6984.12433Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1460-6984.12433Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1460-6984.12433Direct OA link when available
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Cluster analysis, Psychology, Bootstrapping (finance), Cluster (spacecraft), Developmental psychology, Population, Cognitive psychology, Clinical psychology, Artificial intelligence, Econometrics, Computer science, Medicine, Mathematics, Environmental health, Programming languageTop concepts (fields/topics) attached by OpenAlex
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57Total citation count in OpenAlex
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2025: 9, 2024: 8, 2023: 11, 2022: 12, 2021: 8Per-year citation counts (last 5 years)
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56Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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