Influences of student race/ethnicity and gender on autism special education classification considerations.

Farley et al. (2022) showed school psychologists short stories about students. Each story had the same autism traits. Only the student’s race/ethnicity or gender changed.

The team then asked, “How likely is this student autistic?” and “How sure are you?” They wanted to see if race or gender swayed the answers.

Psychologists were less willing to label Black, Latinx, Asian, and female students as autistic. They also felt less confident when the student was a girl or from a racial minority.

Same traits, different label. The bias was quiet but steady across the group.

Diemer et al. (2022) weave this result into a bigger picture. Their review says we need intersectional, culturally informed screens so girls and Black children stop being missed.

Thompson Brown et al. (2026) add the next layer. They found Black children often lack autism eligibility, but the gap comes from shorter, less thorough tests—not from a simple “no” at the end. Together, the studies say bias creeps in early and hides inside evaluation quality.

Eussen et al. (2016) show why girls slip through. Caregivers first notice different red flags: quiet social masking instead of loud repetitive play. Combine subtler signs with psychologist bias and you get the delayed diagnoses parents describe in Diemer et al. (2023).

Check your own referral list today. Are most referrals white boys? If so, pause before you say, “She’s just shy,” or “His English isn’t great,” or “The family doesn’t seem concerned.” Use wide-band screeners that list female and culturally varied traits. Ask about masking, sensory issues, and friendship struggles, not just train spotting or dinosaur facts. Push for full, autism-specific evaluations when parents or teachers first raise a flag, no matter the child’s background. Catching kids early means earlier intervention and better long-term outcomes.