ABSTRACT
Autistic children (Autism Spectrum Disorder, ASD) show an increased risk of bullying victimization and often face challenges in communication and peer relationships. However, it is unclear to what extent the amount and quality of ASD traits are associated with bullying victimization. This study examined the association of bullying victimization and ASD traits in an epidemiological population of 8-year-old children (n = 4408) using parent and teacher completed Autism Spectrum Screening Questionnaires (ASSQs), both separately and combined. The ASSQ items relating to loneliness and social isolation, lack of co-operating skills, clumsiness and lack of common sense were associated with victimization in the study population. The higher the ASSQ scores, the more the children were victimized: the ASSQ scores increased in parallel with victimization from 0 (0% victimized) to 45 (64% victimized). The victimization rate was 46% in ASD sample, 2% in the total population sample and 2% in the non-ASD population sample. The results enable more targeted means for recognizing potential victimization.
ABSTRACT
PURPOSE: The aim of this study was to investigate several possible factor structures of the Autism Spectrum Screening Questionnaire (ASSQ). MATERIALS AND METHODS: We used the 27-item screening tool for school-aged children in a general population of 8-year-old children (n = 3,538) and compared the occurring solutions to previously published factor models. RESULTS: A one-factor solution and a four-factor solution were identified in Exploratory Factor Analysis (EFA) and confirmed with Confirmatory Factor Analysis (CFA), while two-, three-, five- and six-factor solutions were rejected. In CFA, our four-factor solution showed the best goodness-of-fit indexes when compared with factor models previously presented by Posserud et al. and Ehlers et al. CONCLUSIONS: The results indicate a strong underlying connection between all ASSQ items which is elicited by the one-factor solution. Although as a screening tool, ASSQ is functioning with the unifactorial solution, the four factors can help to identify certain clusters of autism spectrum traits.
