Application of Latent Class Analysis to Identify Subgroups of Children with Autism Spectrum Disorders who Benefit from Social Skills Training

Vera Dekker, Maaike H. Nauta, Marieke E. Timmerman, Erik J. Mulder, Pieter J. Hoekstra, Annelies de Bildt*

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

1 Citaat (Scopus)
20 Downloads (Pure)


With Latent Class Analysis applied on data of 98 children with autism spectrum disorder (ASD) (9-12 years; 17 girls) participating in social skills training (SST) in a randomized controlled trial (Dekker et al. 2019), four subgroups were detected, based on social-communicative skills before, and response patterns to training. Two subgroups improved after SST. Characterizing the subgroups based on participant and intervention characteristics showed that improvement was related to lower parent-reported perceived difficulty of social-communicative skills at start, higher verbal ability, younger age and milder symptoms of ASD and anxiety. The lowest performing non-improving subgroup participated more often in SST without parent/teacher involvement, compared to all other subgroups. Response to SST in ASD seems to vary depending on participant characteristics.

Originele taal-2English
Pagina's (van-tot)2004-2018
Aantal pagina's15
TijdschriftJournal of Autism and Developmental Disorders
Vroegere onlinedatum5-sep-2020
StatusPublished - jun-2021

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