Abstract
The latent class structure of autism symptoms from the time of diagnosis to age 6 years was examined in a sample of 280 children with autism spectrum disorder. Factor mixture modeling was performed on 26 algorithm items from the Autism Diagnostic Interview - Revised at diagnosis (Time 1) and again at age 6 (Time 2). At Time 1, a “2-factor/3-class” model provided the best fit to the data. At Time 2, a “2-factor/2-class” model provided the best fit to the data. Longitudinal (repeated measures) analysis of variance showed that the “2-factor/3-class” model derived at the time of diagnosis allows for the identification of a subgroup of children (9 % of sample) who exhibit notable reduction in symptom severity.
Original language | English (US) |
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Pages (from-to) | 3045-3055 |
Number of pages | 11 |
Journal | Journal of autism and developmental disorders |
Volume | 44 |
Issue number | 12 |
DOIs | |
State | Published - Dec 1 2014 |
Externally published | Yes |
Keywords
- Autism symptoms
- Classification
- Phenotypic heterogeneity
ASJC Scopus subject areas
- Developmental and Educational Psychology