Neurodiversity Movement Identification and Perceived Appropriateness of Terms Used to Describe Autism

This publication is included in the Autistic Autism Scholarship Project. two authors of this publication are identified as autistic in the project.

About the autistic author marker

Dwyer, P., Hersh, L. H., Kapp, S. K., Rivera, S. M., & Gillespie-Lynch, K. (2025). Neurodiversity Movement Identification and Perceived Appropriateness of Terms Used to Describe Autism. Autism in Adulthood. https://doi.org/10.1089/aut.2024.0297

Journal or book title
Autism in Adulthood
Publisher
SAGE Publications
Article number
aut.2024.0297
Publication date: 22 Apr 2025 Added to AutiHub: 5 Jul 2026 Type: Article Article language: English

This publication is integrated into AutiHub through:

Authors

Publication authors
5
Publication authors identified as autistic
2 / 5 (40.0%)

Abstract

Background: Autism terminology is highly controversial. The debate regarding person-first and identity-first language is particularly well-studied, but the present study explores views on different terms commonly used to describe autism, such as “disorder,” “disability,” and “difference.” Furthermore, unlike prior studies, this study explores how terminology views are related to identification with the neurodiversity movement (NDM). Methods: We collected usable survey data from 475 participants, 271 of whom were autistic and 204 of whom were non-autistic interested parties (e.g., family members, professionals). Participants rated perceived appropriateness of 13 terms as descriptors of autism. They also indicated whether they had heard of neurodiversity and the social model; if yes, they respectively completed a brief measure of NDM identification and/or answered an item rating support for the social model. Results: Overall, participants rated the terms “condition,” “developmental,” “disability,” “difference,” “neurodiverse,” “neurodivergent,” “neurominority,” and “neurotype” as more appropriate than neutral, whereas “deficit,” “disorder,” “illness,” “psychopathology,” and “syndrome” were seen as inappropriate. As participants identified more strongly with the NDM, they rated the terms “neurodiverse,” “neurodivergent,” “neurominority,” and “neurotype” as more appropriate; however, they rated “condition,” “deficit,” “disorder,” “illness,” and “syndrome” as less appropriate. In non-autistic people only, perceived appropriateness of “developmental” decreased with increasing neurodiversity identification. In autistic participants only, perceived appropriateness of “disability” increased with greater neurodiversity identification. Conclusion: Both autistic and non-autistic participants in this study robustly preferred neurodiversity-aligned terms, such as “neurodivergent” and “difference,” to traditional terms assuming pathology and deficiency. Participants also generally approved of the term “disability,” particularly autistic participants identifying with the NDM, aligning with the NDM’s recognition of both autism-related strengths and challenges. Although we cannot rule out sample bias, our data suggest an emerging consensus supporting discussion of autism in positive or neutrally descriptive ways or through acknowledging challenges in a nonderogatory manner.

Bibliography cited by this reference

Cited references are imported from external metadata sources when they are available. The list may be partial.

Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 2 Oct 2026 13:57.

Cited references
82
With a DOI
53
Without a DOI, from raw bibliography text
29
24 / 82 (29.3%) cited references include at least one author identified as autistic.
References with data to complete
24 / 82 (29.3%)
References with detected author names
58 / 82 (70.7%)
Without detected author names
24
Without a structured title
24
Without a stable identifier
29
References with raw author names still to review
24
References with external metadata lookup issues
1
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
187
From DOI or external metadata
187
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
31
125 / 187 (66.8%) names are linked to an author already present in AutiHub. 62 / 187 (33.2%) names are not yet linked.
Names linked to a person identified as autistic
39 / 187 (20.9%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 39 / 125 (31.2%). Distinct people identified as autistic: 24 / 159 (15.1%).
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