The Internalized Ableism Inventory: Scale development using a hybrid artificial intelligence and community-based participatory research design.
Paul B Perrin, Bryan R Christ, Tiffanie A Vargas and 9 others
PMID 40991817WHAT IT FOUND
A new 51-item scale, the Internalized Ableism Inventory, reliably measures how disabled adults endorse ableist beliefs about themselves.
It has eight distinct subscales covering areas like romance and life roles, validated in a large online sample of disabled individuals.
Key findings
01The final Internalized Ableism Inventory consists of 51 items across eight subscales, including Impact on Aspirations and Roles, Isolation due to Shame and Embarrassment, and Concerns about Romance.
02The scale demonstrated good statistical fit and high internal consistency, with Cronbach's alpha values ranging from .85 to .97 for subscales.
03Scores on the new scale correlated strongly with existing measures of internalized stigma and anger/frustration regarding disability, supporting its validity.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTsWhat it means for SLPs
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What it does not show
The sample was predominantly White and highly educated, which limits generalizability to other racial, ethnic, and socioeconomic groups. Participants were recruited online and self-reported their disability status without medical verification. All community partners involved in refining the scale were academic researchers, which may miss perspectives from disabled individuals outside academia. The AI training data is largely English-language and Western-centric, potentially biasing the scale's cultural relevance. The mean age of disability onset was around 12 years, so results may not apply to those with recent onset.
Declared interests
The study was designated exempt by the host university's institutional review board. No specific funding sources or conflicts of interest are declared in the text provided.
The easy way to misread this
Do not assume this scale is ready for immediate clinical diagnosis or treatment planning. It is a research tool validated in a specific online sample that may not represent your diverse patient population, and the authors note that empirical support for interventions guided by this measure is currently limited.
Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →