Program

Special Education M.A.

Number of Pages

60

Year Approved

2023

First Advisor

Cavalier, Meghan

Second Reader

Kevin Horst

Abstract

This literature review examines current biases in perception, assessment, and diagnosis of Autism Spectrum Disorder (ASD) for females. Males lead in the number of diagnoses of ASD, however, many of the assessments used to evaluate for ASD are based on male autistic tendencies rather than female. This lack of inclusion is causing many females to be missed in early detection of ASD diagnoses. This literature review looks at female characteristics of ASD to be considered during evaluation for ASD and what future implications need to be considered in the education systems to best reach females with ASD.

Degree Name

Special Education M.A.

Document Type

Masterʼs thesis

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