Factor analysis of the autism spectrum screening questionnaire in a population-based child sample

Nord J Psychiatry. 2023 Oct;77(7):696-705. doi: 10.1080/08039488.2023.2225060. Epub 2023 Jun 24.

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.

Keywords: ASD; ASSQ; autism spectrum; autism spectrum screening questionnaire; factor analysis.

MeSH terms

  • Autism Spectrum Disorder* / diagnosis
  • Autism Spectrum Disorder* / epidemiology
  • Autistic Disorder* / diagnosis
  • Autistic Disorder* / epidemiology
  • Child
  • Child Development Disorders, Pervasive* / diagnosis
  • Factor Analysis, Statistical
  • Humans
  • Mass Screening
  • Psychometrics
  • Reproducibility of Results
  • Surveys and Questionnaires