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Titre : | Assessing ‘coherence’ in the spoken narrative accounts of autistic people : a systematic scoping review (2023) |
Auteurs : | Anna HARVEY, Auteur ; Helen SPICER-CAIN, Auteur ; Nicola BOTTING, Auteur ; Gemma RYAN, Auteur ; Lucy A. HENRY, Auteur |
Type de document : | Article : Texte imprimé et/ou numérique |
Dans : | Research in autism spectrum disorders (102, avril 2023) |
Langues: | Anglais |
Concepts : | Trouble du spectre de l'autisme ; Personne avec autisme ; Habileté de langage ; Habileté conversationnelle ; Structure narrative ; Langage oral |
Index. décimale : | AUT.52 (Communication) |
Résumé : |
Background
The ability to produce a well-structured, coherent narrative account is essential for successful everyday communication. Research suggests that autistic people may find this challenging, and that narrative assessment can reveal pragmatic difficulties in this population that are missed on sentence-level tasks. Previous studies have used different methodologies to assess spoken narrative skills in autism. This review systematically examined these approaches and considered their utility for assessing narrative coherence. Method Keyword database searches were conducted, with records screened by two independent reviewers. Eligible studies (n = 59) included specified frameworks for evaluating structure/coherence in spoken narrative accounts by autistic participants of any age. Studies were categorised according to the type of narrative scoring scheme used, and strengths and limitations were considered. Results Over 80% of included articles reported observational cross-sectional studies, with participants generally matched on age and cognitive ability with non-autistic comparison groups. The most common approaches involved coding key elements of narrative structure (‘story grammar’) or scoring the inclusion of pre-determined ‘main events’. Alternative frameworks included ‘holistic’ rating scales and subjective quality judgements by listeners. Some studies focused specifically on ‘coherence’, measuring diverse aspects such as causal connectedness and incongruence. Scoring criteria varied for each type of framework. Conclusions Findings indicated that solely assessing story structure ignores important features contributing to the coherence of spoken narrative accounts. Recommendations are that future research consider the following elements: (1) context, (2) chronology, (3) causality, (4) congruence, (5) characters (cognition/emotion), and (6) cohesion; and scoring methods should include rating scales to obtain sufficiently detailed information about narrative quality. [résumé d'auteur] |
Sous-type : | Article |
Consulter : | https://doi.org/10.1016/j.rasd.2023.102108 |