Identifying Developmental Language Disorder in Bilingual Children Using Narrative Measures.

Purpose: Narrative abilities offer valuable insights into daily-life communication and can aid the complex task of identifying developmental language disorder (DLD) in bilingual children. However, there is limited consensus on which linguistic measures are most informative to distinguish bilingual c...

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Published in:Journal of Speech, Language & Hearing Research Vol. 69; no. 5; pp. 2268 - 2287
Main Authors: Van den Eynde, Lotte, Rombouts, Ellen, Vandermosten, Maaike, Zink, Inge
Format: Article
Published: American Speech-Language-Hearing Association May2026
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Online Access:View this record in EBSCOhost
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      dt: May2026
      vid: 69
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      pub: American Speech-Language-Hearing Association
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        193696216
        10.1044/2026_JSLHR-25-00489
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        atl: Identifying Developmental Language Disorder in Bilingual Children Using Narrative Measures.
      aug:
        au:
          Van den Eynde, Lotte
          Rombouts, Ellen
          Vandermosten, Maaike
          Zink, Inge
        affil:
          Research Group Experimental Oto-Rhino-Laryngology, Department of Neurosciences, Katholieke Universiteit Leuven, Belgium.
          Leuven Brain Institute, Katholieke Universiteit Leuven, Belgium.
          Leuven Interdisciplinary Language Institute, Katholieke Universiteit Leuven, Belgium.
          MUCLA, Department of Oto-Rhino-Laryngology, Head & Neck Surgery, University Hospitals Leuven, Belgium.
      su:
        Cross-sectional method
        Task performance
        Quantitative research
        Multilingualism
        Storytelling
        Analysis of variance
        Communication
        Language acquisition
        Children
        Language disorder diagnosis
        Data analysis
        Research funding
        Grammar
        Logistic regression analysis
        Descriptive statistics
        Speech evaluation
        Special education schools
        Statistics
        Mean length of utterance
        Data analysis software
        Comparative studies
        Sensitivity & specificity (Statistics)
        Speech therapy
        Inter-observer reliability
      sug:
        subj:
          Cross-sectional method
          Task performance
          Quantitative research
          Multilingualism
          Storytelling
          Analysis of variance
          Communication
          Language acquisition
          Children
          Language disorder diagnosis
          Data analysis
          Research funding
          Grammar
          Logistic regression analysis
          Descriptive statistics
          Speech evaluation
          Special education schools
          Statistics
          Mean length of utterance
          Data analysis software
          Comparative studies
          Sensitivity & specificity (Statistics)
          Speech therapy
          Inter-observer reliability
      ab: Purpose: Narrative abilities offer valuable insights into daily-life communication and can aid the complex task of identifying developmental language disorder (DLD) in bilingual children. However, there is limited consensus on which linguistic measures are most informative to distinguish bilingual children with DLD from their typically developing (TD) peers. This study aimed to quantitatively determine which combination of narrative measures most accurately classifies bilingual TD children and bilingual children with DLD. Method: Fifty bilingual TD children and 50 bilingual children with DLD aged 5– 9 years who spoke Dutch as a second language participated. Narrative skills were assessed in Dutch using both storytelling and retelling tasks. Eleven measures reflecting narrative productivity, complexity, and accuracy were analyzed across both tasks. Both group-level differences between TD children and children with DLD, and individual diagnostic performance were examined. Results: While most measures accurately distinguished between children with and without DLD at group level, they did not achieve sufficient diagnostic accuracy at the individual level. Nevertheless, combining multiple measures improved classification. The storytelling task reached 82% diagnostic accuracy using four measures, while the retelling task achieved 80% diagnostic accuracy using 10 measures. A combined approach using four measures from both tasks increased accuracy to 85%. The most informative measures were the number of utterances, mean length of utterance, number of different words, and mean number of (grammatical) errors per utterance. Conclusion: Extracting a limited set of measures from narrative tasks can provide both diagnostic effectiveness and clinical feasibility, supporting the inclusion of narrative tasks in bilingual language assessment.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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