The role of gender in the identification of autism by pre-service teachers: Evidence from a six-country sample

Despite growing awareness, autism identification remains hindered by historical biases linking the condition to male populations and a limited understanding of the subtler female phenotype, which can delay timely educational referrals in schools. This study investigated how student gender (perceived binary gender: boy or girl) and autism phenotype (male or female behavioral profiles) affect autism identification by pre-service teachers. Using vignettes depicting children showing either a male or female autism phenotype, 709 pre-service teachers from six countries (Chile, Ecuador, France, Latvia, Spain, and the USA) considered possible diagnoses, confidence levels, and ranked likelihoods. Results revealed that student gender significantly influenced identification: autism was more frequently, confidently, and highly ranked when the vignette described a boy rather than a girl. The autism phenotype itself did not affect identification rates, though teachers showed greater confidence when judging the male phenotype. No interaction effects emerged between gender and phenotype. These findings suggest that pre-service teachers are still influenced by the stereotype of autism as a predominantly male condition. This study shows how teacher education training on gender bias in autism could be re-designed to promote earlier recognition and support for autistic girls who are often underdiagnosed or diagnosed late.

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Publication Details

Journal
Research in Developmental Disabilities
Published
2026-07-18
DOI
https://doi.org/10.1016/j.ridd.2026.105344
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00

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article

The role of gender in the identification of autism by pre-service teachers: Evidence from a six-country sample

Ximena Veléz-Calvo, Ligita Stramkale, Mickaël Jury, Irene Lacruz‐Pérez et al.
Research in Developmental Disabilities
Autism Spectrum Disorder Research
article

The role of gender in the identification of autism by pre-service teachers: Evidence from a six-country sample

Ximena Veléz-Calvo, Ligita Stramkale, Mickaël Jury, Irene Lacruz‐Pérez, Shana Cohen, Pilar Sanz-Cervera, Osvaldo Hernández-González
article en

Abstract

Despite growing awareness, autism identification remains hindered by historical biases linking the condition to male populations and a limited understanding of the subtler female phenotype, which can delay timely educational referrals in schools. This study investigated how student gender (perceived binary gender: boy or girl) and autism phenotype (male or female behavioral profiles) affect autism identification by pre-service teachers. Using vignettes depicting children showing either a male or female autism phenotype, 709 pre-service teachers from six countries (Chile, Ecuador, France, Latvia, Spain, and the USA) considered possible diagnoses, confidence levels, and ranked likelihoods. Results revealed that student gender significantly influenced identification: autism was more frequently, confidently, and highly ranked when the vignette described a boy rather than a girl. The autism phenotype itself did not affect identification rates, though teachers showed greater confidence when judging the male phenotype. No interaction effects emerged between gender and phenotype. These findings suggest that pre-service teachers are still influenced by the stereotype of autism as a predominantly male condition. This study shows how teacher education training on gender bias in autism could be re-designed to promote earlier recognition and support for autistic girls who are often underdiagnosed or diagnosed late.

Research in Developmental DisabilitiesVol. 175
California Department of Education (US), Universitat de València (ES), Institut Universitaire de France (FR), Catholic University of the Maule (CL), University of California San Diego (US), University of Clermont Auvergne (FR), Universidad del Azuay (EC), Clermont Université (FR), University of Latvia (LV)
Generalitat Valenciana, Conselleria de Cultura, Educación y Ciencia, Generalitat Valenciana
Quality Education
Openalex Percentile: Top 7%
Autism Spectrum Disorder Research
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