Article ; Online: Quantifying phonological knowledge in children with phonological disorder.
Clinical linguistics & phonetics
2019 Volume 33, Issue 10-11, Page(s) 885–898
Abstract: Generative phonologists use contrastive minimal pairs to determine functional phonological units in a language. This technique has been extended for clinical purposes to derive phonemic inventories for children with phonological disorder, providing a ... ...
| Abstract | Generative phonologists use contrastive minimal pairs to determine functional phonological units in a language. This technique has been extended for clinical purposes to derive phonemic inventories for children with phonological disorder, providing a qualitative analysis of a given child's phonological system that is useful for assessment, treatment, and progress monitoring. In this study, we examine the single-word productions of 275 children with phonological disorder from the Learnability Project (Gierut, 2015b) to confirm the relationship between phonemic inventory - a measure of phonological knowledge - and consonant accuracy - a quantitative, relational measure that directly compares a child's phonological productions to the target (i.e. adult-like) form. Further, we identify potential percentage accuracy cutoff scores that reliably classify sounds as in or out of a child's phonemic inventory in speech-sound probes of varying length. Our findings indicate that the phonemic function of up to 90% of English consonants can be identified from percentage accuracy for preschool-age children with phonological disorder when a sufficiently large and thorough speech sample is used. |
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| MeSH term(s) | Child, Preschool ; Female ; Humans ; Language Tests ; Male ; Midwestern United States ; Phonetics ; Speech Production Measurement ; Speech Sound Disorder/diagnosis ; Speech Sound Disorder/therapy |
| Language | English |
| Publishing date | 2019-08-04 |
| Publishing country | England |
| Document type | Journal Article ; Research Support, N.I.H., Extramural |
| ZDB-ID | 639459-0 |
| ISSN | 1464-5076 ; 0269-9206 |
| ISSN (online) | 1464-5076 |
| ISSN | 0269-9206 |
| DOI | 10.1080/02699206.2019.1584247 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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