Language-Common and Language-Specific Error Patterns in Children With Speech Sound Disorders: A Systematic Review.

Authors

Sue Ann S Lee, Carolyn Glasser

Published in

Journal of speech, language, and hearing research : JSLHR. Pages 1-31. Jun 18, 2026. Epub Jun 18, 2026.

Abstract

This systematic review synthesized cross-linguistic evidence on speech error patterns in children with speech sound disorders (SSDs), focusing on percent consonants correct (PCC), SODA (substitution, omission, distortion, and addition) error profiles, and phonological processes, as well as factors contributing to variations in error patterns.
Comprehensive searches were conducted in PubMed, CINAHL Ultimate, Scopus, Web of Science, and Linguistics and Language Behavior Abstracts in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Eligible studies included empirical research on children with phonological, articulation, or functional SSDs that reported quantitative error analyses. Twenty-eight studies met the inclusion criteria. Methodological quality, evaluated using a 16-item framework, ranged from 50.0% to 100.0% (M = 82.7%).
The 28 studies spanned nine languages (English, German, Spanish, Portuguese, Italian, French, Turkish, Korean, and Chinese), including three dialects each of Spanish and Chinese and two dialects of Portuguese. Reported PCC values (typically 65.0%-85.0%) indicated predominantly mild-moderate to moderate impairment. Substitution errors were the most prevalent across languages, followed by omissions and distortions. Both language-common and language-specific phonological processes were documented.
The findings indicate that PCC is generally comparable across languages, whereas SODA error profiles and phonological processes reflect both cross-linguistic similarities and language-specific characteristics. Phonological processes, in particular, exhibit greater cross-linguistic variation. Collectively, these results emphasize the need for culturally responsive diagnostic practices and highlight the importance of developing cross-linguistic frameworks to guide the assessment of SSDs.
https://doi.org/10.23641/asha.32649549.

PMID:
42313648
Bibliographic data and abstract were imported from PubMed on 19 Jun 2026.

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