Article
Details
Citation
Kim SY, Song D, Bottema-Beutel K, Gillespie-Lynch K & Cage E (2022) A Systematic Review and Meta-Analysis of Associations between Non-Autistic People's Characteristics and Attitudes Toward Autistic People. Autism Research. https://doi.org/10.1002/aur.2867
Abstract
This systematic review includes a narrative synthesis and meta-analysis of research on the associations between 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 non-autistic people’s characteristics; some instruments had alpha levels lower than .70, and many characteristics of non-autistic raters were measured using one-item measures. Moreover, theoretical motivations for investigating the characteristics of non-autistic people were rarely provided. A total of 37 studies were included in the meta-analysis, which showed that attitudes toward autistic people were significantly associated with non-autistic 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.
Keywords
attitudes toward autistic people; internal consistency; meta-analysis; rate characteristics; review; theory
Notes
Output Status: Forthcoming/Available Online
Journal
Autism Research
Status | Early Online |
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Publication date online | 12/12/2022 |
Date accepted by journal | 25/11/2022 |
URL | |
ISSN | 1939-3792 |
eISSN | 1939-3806 |