The Internalized Ableism Inventory: Scale development using a hybrid artificial intelligence and community-based participatory research design.

ABSTRACT:

Objective

This study (a) used OpenAI's GPT-4 large language model to generate an initial item pool for a potential scale measuring internalized ableism, (b) involved disabled community stakeholders in refining the items and prompting additional artificial intelligence-generated items, and (c) psychometrically validated the scale in a large sample of disabled individuals.

Method

Following a series of GPT-4 prompts and iterative community-based participatory research feedback, a tentative item pool of 90 statements was developed. A sample of 409 adults with diverse disabilities completed a survey containing the initial item pool, potentially related scales, and demographic questions.

Results

An exploratory factor analysis helped identify the final 51 items and subscale

SUBMITTER: Perrin PB 

PROVIDER: S-EPMC12462894 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature