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Is there an optimal self-report measure to investigate autism-related sex differences?

  • Lucy Waldren
  • , Lucy Anne Livingston
  • , Punit Shah
  • King's College London
  • Cardiff University

Research output: Contribution to journalArticlepeer-review

4   Link opens in a new tab Citations (SciVal)

Abstract

There is growing research interest in autism-related sex differences. Many behavioural and cognitive sex differences have been identified, with implications for research and clinical practice. Much of this research has relied on self-report autism measures, which are assumed to measure autistic traits equally in males and females. However, robust evidence for this assumption is lacking. Previous findings have not been replicated and no study has directly compared sex differences across multiple self-report autism measures in the same sample. To address this gap in research, a large sample of adults (N = 1000, 500 female) completed a series of self-report autism measures (AQ-50, −28, −26, −20, −10, −9, BAPQ, CATI). Following pre-registered measurement invariance analyses, only the AQ-9, AQ-28, and CATI showed good-to-acceptable invariance to sex when specifying a multi-factor structure, and all 8 measures showed non-invariance to sex when capturing a general autism construct. We discuss the implications of these findings for investigating autism-related sex differences in future research.
Original languageEnglish
Article number202617
JournalResearch in Autism
Volume125
Early online date16 May 2025
DOIs
Publication statusPublished - 31 Jul 2025

Bibliographical note

Publisher Copyright:
© 2025 The Authors

Data Availability Statement

Data and code are openly accessible and are available in the Supplementary Material and in an online repository.

Acknowledgements

The authors thank Sam Taylor for their thought-provoking discussions on the exploratory 1-item measure, and Luca D. Hargitai for their feedback on the manuscript.

Funding

LHW was supported by a doctoral studentship from the Economic and Social Research Council. LAL was supported by a fellowship from The Waterloo Foundation.

Funders
Economic and Social Research Council
Waterloo Foundation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Autism
  • Autistic Traits
  • Gender
  • Sex

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Clinical Psychology
  • Developmental and Educational Psychology

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