A systematic review and meta-analysis of associations between primarily non-autistic people's characteristics and attitudes toward autistic people.
Female gender, autism knowledge, and quality contact predict better attitudes toward autistic people; age and rater traits do not.
01Research in Context
What this study did
Kim et al. (2023) pooled 36 studies that asked non-autistic adults how they feel about autistic people.
They looked at which rater traits—age, gender, autism knowledge, past contact, or own autistic traits—best predicted warmer or colder attitudes.
What they found
Three things mattered most: being female, knowing more facts about autism, and having good-quality contact with autistic people.
Surprisingly, the rater’s own age or level of autistic traits had no clear link to their attitudes.
How this fits with other research
Wilson et al. (2014) used the Implicit Association Test and found most people carry unconscious negative bias toward disability. Yoon’s work extends this by showing the bias can be softened with knowledge and quality contact.
Mulder et al. (2020) showed that kids later diagnosed with autism often start with an “easy” temperament, yet after diagnosis are rated as harder. Yoon’s findings help explain why: non-autistic adults who lack knowledge or good contact may misread these traits.
Kaiser et al. (2022) warned that self-report tools in autism are mostly validated in verbally fluent youth. Yoon’s study reminds us that the same limitation applies to attitude surveys—most raters were college students, so results may not hold for less-verbal groups.
Why it matters
You can’t change a rater’s age, but you can boost their knowledge and set up positive contact. Start staff trainings with brief autism-fact modules and pair new aides with autistic peers for shared activities that have clear roles. These low-cost steps are the strongest levers we have for improving everyday attitudes in schools and clinics.
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02At a glance
03Original abstract
This systematic review includes a narrative synthesis and meta-analysis of research on the associations between primarily non-autistic people's characteristics and their attitudes toward autistic people. Of 47 studies included in the narrative synthesis, White undergraduate students were surveyed most frequently. Demographic characteristics were the factors most frequently tested for associations with attitudes, followed by contact-related factors (i.e., quantity and quality), knowledge about autism, trait and personality factors, and other factors that did not fit into a single category. Internal consistency was not reported for some instruments assessing raters' characteristics; some instruments had alpha levels lower than 0.70, and many characteristics of raters were measured using one-item measures. Moreover, theoretical motivations for investigating the raters' characteristics were rarely provided. A total of 36 studies were included in the meta-analysis, which showed that attitudes toward autistic people were significantly associated with participants' gender, knowledge about autism, and quality and quantity of their previous contact with autistic people, but not with their age or autistic traits. These findings indicate a need for more studies that focus on context-related characteristics (e.g., institutional variables such as support/commitment to inclusion), use reliable instruments to measure non-autistic people's characteristics, and situate their investigation in a theoretical framework.
Autism research : official journal of the International Society for Autism Research, 2023 · doi:10.1002/aur.2867