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Where to start: Use of the bilingual multidimensional ability scale (B-MAS) to identify developmental language disorder (DLD) in bilingual children

Overview of attention for article published in Advances in Speech Language Pathology, March 2024
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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Title
Where to start: Use of the bilingual multidimensional ability scale (B-MAS) to identify developmental language disorder (DLD) in bilingual children
Published in
Advances in Speech Language Pathology, March 2024
DOI 10.1080/17549507.2024.2322646
Pubmed ID
Authors

Danyang Wang, Alexander Choi-Tucci, Anita Mendez-Perez, Ronald B. Gillam, Lisa M. Bedore, Elizabeth D. Peña

Abstract

The identification of developmental language disorder (DLD) is challenging for clinicians who assess bilinguals. This paper introduces a protocol-based approach, the Bilingual Multidimensional Ability Scale (B-MAS), for expert raters to identify DLD in bilinguals. Three bilingual speech-language pathologists (SLPs) reviewed 166 Spanish-English bilingual children's profiles, which included performance on direct (morphosyntax, semantics, and narrative tasks) and indirect (parent/teacher survey) measures in both languages. A multidimensional scale (0-5) was adopted to rate children's performance. A diagnosis of DLD was made if at least two raters assigned a summary rating of ≤2. Analysis of the scores on the B-MAS resulted in the identification of 21 children as having DLD. Though different strategies were employed to make decisions, the three SLPs demonstrated high inter-rater agreement across different ratings (intraclass correlation coefficient values ranged from .83 to .90). For bilingual populations that are understudied and for which gold standards of assessment are not available, the B-MAS can be adopted as a starting point to study DLD or as a reference standard to develop new assessment tools in that population. Clinically, this protocol could be tailored and evaluated by a group of SLPs serving a large population of a particular bilingual group for diagnostic purposes.

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Readers by discipline Count As %
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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 March 2024.
All research outputs
#2,728,255
of 25,605,018 outputs
Outputs from Advances in Speech Language Pathology
#142
of 843 outputs
Outputs of similar age
#20,627
of 192,643 outputs
Outputs of similar age from Advances in Speech Language Pathology
#1
of 16 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 843 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 192,643 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.