Billets de Michelle Dawson

Billet publié sur Twitter/X le 24/08/2013 23:32

Twitter/X Publication avec DOI crossref Lien intégré au billet Termes sur l’autisme

Liens cités structurés

1 ressource citée

Publication avec DOI Récupéré Publication crossref

Eric Duku, Peter Szatmari, Tracy Vaillancourt, Stelios Georgiades, Ann Thompson, Xiao‐Qing Liu, Andrew D. Paterson, Terry Bennett (2013). Measurement equivalence of the autism symptom phenotype in children and youth. Journal of Child Psychology and Psychiatry, 54(12), 1346-1355. Wiley.

Date de publication
24/08/2013
Identifiant
10.1111/jcpp.12103
Auteurs
Eric Duku, Peter Szatmari, Tracy Vaillancourt, Stelios Georgiades, Ann Thompson, Xiao‐Qing Liu, Andrew D. Paterson, Terry Bennett
Source
Journal of Child Psychology and Psychiatry
Détails
54(12), 1346-1355
Type de référence
article
Éditeur
Wiley
Source de métadonnées
crossref

Résumé

Background The Autism Diagnostic Interview‐Revised (ADI‐R) is a gold standard assessment of Autism Spectrum Disorder (ASD) symptoms and behaviours. A key underlying assumption of studies using the ADI‐R is that it measures the same phenotypic constructs across different populations (i.e. males/females, younger/older, verbal/nonverbal). The objectives of this study were to evaluate alternative measurement models for the autism symptom phenotype based on the ADI‐R algorithm items and to examine the measurement equivalence of the most parsimonious and best fitting model across subgroups of interest. Methods Data came from the Autism Genome Project consortium and consisted of 3,628 children aged 4–18 years (84.2% boys and 75% verbal). Twenty‐eight algorithm items applicable to both verbal and nonverbal participants were used in the analysis. Measurement equivalence of the autism phenotype was examined using categorical confirmatory factor analysis. Results A second‐order model resembling the proposed DSM‐5 two‐factor structure of the phenotype showed good overall fit, but not for all the subgroups. The autism symptom phenotype was best indexed by the first‐order, six‐factor measurement model proposed by Liu et al. (2011). This model was well fitting and measurement equivalent across subgroups of participants (age, verbal ability and sex). Conclusions The autism symptom phenotype is adequately characterized by a six‐factor measurement model; this model appears to be measurement equivalent across subgroups of children and youth with ASD that differ in age, sex and verbal ability. The two‐factor model provides equally good fit for the sample as a whole, but comparison of these two dimensions between subgroups that might differ in terms of age, sex or verbal ability is challenged by lack of measurement equivalence.

Auteur·ices de l’étude dans cette référence citée