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Autism, thy name is man: Exploring implicit and explicit gender bias in autism perceptions
Rae Brickhill1, Gray Atherton1, Andrea Piovesan1
1Department of Psychology, Edge Hill University, Liverpool, United Kingdom.
Autism diagnoses are more common in males, but this may be due to implicit biases. Research shows perceptions and metrics for autism are skewed towards males, hindering the identification of autistic females.
Area of Science:
- Neurodevelopmental disorders
- Gender studies
- Psychology
Background:
- Males receive autism diagnoses at three times the rate of females.
- Historically, this disparity was attributed to gender compatibility with the autistic phenotype.
- Emerging research suggests potential biases in recognizing the female autistic phenotype.
Purpose of the Study:
- To investigate implicit and explicit associations between autism and gender.
- To explore how societal perceptions may impact the identification of autistic females.
- To examine potential gender biases in autism assessment tools.
Main Methods:
- Utilized the Implicit Association Test (IAT) to measure implicit biases.
- Employed the Autism Quotient (AQ) questionnaire with gendered vignettes (male/female).
- Assessed both implicit and explicit associations between autism and binary gender.
Main Results:
- The IAT revealed a significant implicit bias associating males with autistic traits.
- Explicit assessment showed certain AQ items perceived as exclusively male traits.
- Reverse-scored AQ items were perceived as female, indicating skewed explicit perceptions.
Conclusions:
- Current understanding and metrics of autism exhibit a male-centric bias.
- This bias may impede the accurate identification and comprehension of the female autistic phenotype.
- Further research is needed to address gender disparities in autism recognition and diagnosis.
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