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内部化能力库存:使用混合人工智能和基于社区的参与式研究设计进行规模开发
Paul B Perrin1, Bryan R Christ1, Tiffanie A Vargas2
1School of Data Science, University of Virginia.
Rehabilitation psychology
|September 24, 2025
概括
研究人员使用人工智能和社区投入开发了Internalised Ableism Inventory. 这种新的尺度为理解残疾人内在能力的心理测量提供了合理的测量方法.
科学领域:
- 心理学 心理学 心理学
- 关于残疾人的研究.
- 研究中的人工智能.
背景情况:
- 内化能力主义是影响残疾人的重要问题.
- 现有的措施可能无法充分捕捉内化能力主义的细微差别.
- 需要通过包容性方法开发出心理测量学上健全的尺度.
研究的目的:
- 开发和心理测量验证一个衡量内化能力的尺度.
- 在规模开发中整合人工智能 (AI) 和基于社区的参与性研究 (CBPR).
- 为了创建内部化能力库存 (IAI).
主要方法:
- 使用OpenAI的GPT-4大型语言模型进行初始项目生成.
- 合并的残疾人社区利益相关者对项目改进和人工智能促进.
- 对409名残疾成年人的数据进行了探索性和确认性因素分析.
主要成果:
- 开发了一个51项尺度和8个子尺度,显示出出色的因子结构合适性.
- 通过Cronbach的alpha从0.85到0.98.9的范围实现了高可靠性.
- 建立了与内化耻辱和与残疾相关的挫败感的衡量标准的融合有效性.
结论:
- 内化能力库存是使用AI和CBPR开发的第一个全面的,心理测量声音尺度.
- 这种新的方法具有现代化心理尺度开发的潜力.
- IAI为研究和临床实践提供了与内化能力学有关的宝贵工具.
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