ArticleChildren (Basel, Switzerland)2022
Process-Oriented Profiling of Speech Sound Disorders.
Article in Children (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 13 citations in OpenAlex.
- Reevaluating the classification of pediatric speech sound disorders: a ground truthing perspective.Frontiers in human neuroscience · 2025Review
- Neurolinguistic and acoustic analysis of articulatory impairments in Arabic speech disorders.Frontiers in human neuroscience · 2025Article
- Speech and Nonspeech Parameters in the Clinical Assessment of Dysarthria: A Dimensional Analysis.Brain sciences · 2023Article
- How to cut the pie is no piece of cake: Toward a process-oriented approach to assessment and diagnosis of speech sound disorders.International journal of language & communication disordersReview
- Towards an Agreed Labelling System and Protocol for the Diagnosis of Speech Sound Disorder Subtypes in the United Kingdom.International journal of language & communication disordersArticle
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Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The differentiation between subtypes of speech sound disorder (SSD) and the involvement of possible underlying deficits is part of ongoing research and debate. The present study adopted a data-driven approach and aimed to identify and describe deficits and subgroups within a sample of 150 four to seven-year-old Dutch children with SSD. Data collection comprised a broad test battery including the Computer Articulation Instrument (CAI). Its tasks Picture Naming (PN), NonWord Imitation (NWI), Word and NonWord Repetition (WR; NWR) and Maximum Repetition Rate (MRR) each render a variety of parameters (e.g., percentage of consonants correct) that together provide a profile of strengths and weaknesses of different processes involved in speech production. Principal Component Analysis on the CAI parameters revealed three speech domains: (1) all PN parameters plus three parameters of NWI; (2) the remaining parameters of NWI plus WR and NWR; (3) MRR. A subsequent cluster analysis revealed three subgroups, which differed significantly on intelligibility, receptive vocabulary, and auditory discrimination but not on age, gender and SLPs diagnosis. The clusters could be typified as three specific profiles: (1) phonological deficit; (2) phonological deficit with motoric deficit; (3) severe phonological and motoric deficit. These results indicate that there are different profiles of SSD, which cover a spectrum of degrees of involvement of different underlying problems.
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