Using the Quantifying Bilingual Language Experience Questionnaire to Identify Risk for Language Impairment in Bilingual Children.
Purpose: Clinical triage, but also inclusive population sampling in research, requires efficient detection of children likely to be at risk for language impairment (LI), a significant challenge in the case of bilingual children. Our goal was to derive automatic risk factor indices from a parental qu...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 69; no. 6; pp. 2757 - 2773 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
| Publicado: |
American Speech-Language-Hearing Association
Jun2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=194600822&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 194600822 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Jun2026 vid: 69 iid: 6 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 194600822 10.1044/2026_JSLHR-25-00360 ppf: 2757 ppct: 16 formats: fmt: @attributes: type: P size: 1.3MB tig: atl: Using the Quantifying Bilingual Language Experience Questionnaire to Identify Risk for Language Impairment in Bilingual Children. aug: au: De Cat, Cécile Tuller, Laurice Gusnanto, Arief Kašćelan, Draško Prévost, Philippe Serratrice, Ludovica Unsworth, Sharon affil: University of Leeds, United Kingdom University of Tours, France University of Essex, United Kingdom University of Reading, United Kingdom Radboud University, Nijmegen, the Netherlands su: France United Kingdom Netherlands Language disorders Medical screening Vocabulary Language acquisition Disease risk factors Children Language disorder diagnosis Risk assessment Predictive tests Receiver operating characteristic curves Research funding Questionnaires Speech-language pathology Descriptive statistics Research methodology Early diagnosis Short-term memory Data analysis software Sensitivity & specificity (Statistics) sug: subj: Language disorders Medical screening Vocabulary Language acquisition Disease risk factors Children France United Kingdom Netherlands All Other Miscellaneous Ambulatory Health Care Services Language disorder diagnosis Risk assessment Predictive tests Receiver operating characteristic curves Research funding Questionnaires Speech-language pathology Descriptive statistics Research methodology Early diagnosis Short-term memory Data analysis software Sensitivity & specificity (Statistics) ab: Purpose: Clinical triage, but also inclusive population sampling in research, requires efficient detection of children likely to be at risk for language impairment (LI), a significant challenge in the case of bilingual children. Our goal was to derive automatic risk factor indices from a parental questionnaire and compare their usefulness in initial identification of children at risk for LI. Method: Alternative risk factor indices were derived from the Quantifying Bilingual Language Experience (Q-BEx) online questionnaire backend calculator, differing in the weight and detail given to language proficiency. Each index was applied to two data sets composed of 5- to 8-year-old children: one with independent diagnosis of developmental language disorder (DLD)/typical development (TD; 109 bilingual children tested in France) and one of largely all-comer children (278 bilingual and monolingual children tested in France, the Netherlands, and the United Kingdom). We compared how these alternative indices predicted (likely) DLD/TD status and structural language outcomes, assessed with Language Impairment Testing in Multilingual Settings tools, designed for bilingual children. Results: RF4-min, a risk factor index composed of four equally weighted components (age of first word, age of first sentence, early development concerns, and strongest speaking skills between the home/heritage language and the societal language), satisfactorily separated bilingual children according to developmental status and was a significant predictor of language outcomes. This composite score showed the best balance between separability, sensitivity, and predictive value compared to indices without a proficiency component or with a more heavily weighted/detailed proficiency component. Conclusion: RF4-min, a Q-BEx automatically derived composite risk factor index, yielded promising results, indicating usefulness as part of first-level triage for LI. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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