Billets de Michelle Dawson

Billet publié sur Bluesky le 17/11/2024 11:41

Bluesky Publication avec DOI crossref Extrait cité dans le billet Lien intégré au billet Termes sur l’autisme

Based on parent-reported CBCL scores for autistics aged 6-18, comparing "general psychopathology" vs "internalizing/externalizing" factor models & finding "neither model had an acceptable fit" www.sciencedirect.com/science/arti... "CBCL may not be the most appropriate measure for autistic youth"

Voir sur Bluesky

Liens cités structurés

1 ressource citée

Publication avec DOI Récupéré Publication crossref

Hannah Muriel Robb Burrows, Brianne Derby, Laura de la Roche, Melissa Susko, Rob Nicolson, Stelios Georgiades, Jessica Jones, Evdokia Anagnostou, et al. (2025). Investigating the general psychopathology factor in autistic youth. Research in Autism Spectrum Disorders, 119, 102519. Elsevier BV.

Date de publication
janvier 2025
Identifiant
10.1016/j.rasd.2024.102519
Auteurs
Hannah Muriel Robb Burrows, Brianne Derby, Laura de la Roche, Melissa Susko, Rob Nicolson, Stelios Georgiades, Jessica Jones, Evdokia Anagnostou, Elizabeth Kelley
Source
Research in Autism Spectrum Disorders
Détails
119, 102519
Type de référence
article
Éditeur
Elsevier BV
Source de métadonnées
crossref

Résumé

Autistic youth are at higher risk of presenting with co-occurring internalizing (I) (i.e., anxiety and depression) and externalizing (E) (i.e., aggression and impulsivity) disorders (Bauminger et al., 2010). The Child Behavior Checklist for ages 6–18 (CBCL/6-18; Achenbach & Rescorla, 2001) is a measure of I-E disorders and symptoms in autistic and neurotypical youth, providing norm-referenced subscales as factors for each form of psychopathology. The general psychopathology or “ p ” factor may provide a better measure of co-occurring disorders in autism as it has not been evaluated in this population contextually to date. The p factor proposes that psychopathological disorders come from the same etiological factor, implying that we can measure all I-E disorders as indicators of p. Using archival data from the Province of Ontario Neurodevelopmental Disorders (POND) Network, (N = 782) autistic youths’ raw scores from the CBCL/6-18 were analyzed using two confirmatory factor analyses (CFAs): an I-E CFA and a p factor CFA. An exploratory factor analysis (EFA) was also conducted to determine the best-fitting factor structure. A chi-square difference test compared each CFA to find the best model fit. Results reported each model as individually significant, however, based on recommendations from Hoyle and Panter (1995), neither model had an acceptable fit. Given that neither the p factor nor the internalizing/externalizing factor models had appropriate fit, it is recommended that future research investigate whether the CBCL/6–18 is the most appropriate measure for assessing co-occurring symptoms in autistic youth. The results of the EFA also suggest that the CBCL may not be the most appropriate measure for autistic youth. • This is the first study to investigate the p factor for co-occurring conditions in autism. • We used CFAs to investigate fit in I-E or p- factor models. • Neither I-E nor p- factor models were a good fit to the data. • Several items had to be eliminated as they did not load on their respective factors. • The CBCL/6–18 needs further research to determine its utility in autism research.

Auteur·ices de l’étude dans cette référence citée