Narrative competence in Italian children with cochlear implants: a comparison with children matched by chronological or hearing age

  • Paola Zanchi
  • , L. Zampini*
  • , R. Berici
  • *Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in rivistaArticolo

Abstract

The present study aimed to analyse the narrative competence of a group of Italian children with a bilateral cochlear implant (CI) implanted before 30 months of age. Participants were ten children with CI (aged from 42 to 83 months) and two control groups of typically hearing children one-to-one paired by sex, non-verbal reasoning, and chronological or hearing age. A story generation task, specifically developed to assess narrative skills in children (i.e., the Narrative Competence Task) was used to evaluate both macrostructural and microstructural features of the children’s narratives. Results showed that children with CI presented only one significant difference in the macrostructural aspects of narratives compared to typically hearing children matched by hearing age, specifically in the higher number of events told. In addition, concerning microstructural features, the only statistically significant difference was a lower lexical variety in the narratives produced by children with CI than in those produced by typically hearing children matched by chronological age. Both macrostructural and microstructural indices appeared to be related to the hearing age of children with CI. Early CI appeared to play a crucial role in the acquisition of a complex area of language development, as narrative competence.
Lingua originaleInglese
pagine (da-a)277-292
Numero di pagine16
RivistaClinical Linguistics and Phonetics
Volume35
Numero di pubblicazione3
DOI
Stato di pubblicazionePubblicato - 2021

All Science Journal Classification (ASJC) codes

  • Lingua e Linguistica
  • Linguistica e Lingue
  • Linguaggio e Udito

Keywords

  • Cochlear implant
  • hearing age
  • macrostructure
  • microstructure
  • narrative competence
  • story generation task

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