护理研究2026，Vol.40Issue(10)：1730-1735,6.DOI:10.12102/j.issn.1009-6493.2026.10.017
人工智能焦虑量表的汉化及信效度检验
Chinesization of Artificial Intelligence Anxiety Scale and its reliability and validity test
摘要
Abstract
Objective:To translate the Artificial Intelligence Anxiety Scale(AIAS)into Chinese and to test its reliability and validity among medical students.Methods:The AIAS underwent forward translation,back-translation based on the Brislin translation model.The Chinese version of AIAS was developed by cultural adaptation and a preliminary survey.A total of 305 medical students from two medical universities in Hubei province were selected by a convenience sample from March and April 2025.The reliability and validity of the scale were tested.Results:The Chinese version of the AIAS consisted of 4 dimensions(learning,work substitution,socio-technical blind spots,artificial intelligence configuration)with 20 items.The item-level content validity index ranged from 0.876 to 1.000.The average scale-level content validity index was 0.961.Exploratory factor analysis extracted 4 common factors with a cumulative variance contribution rate of 81.342%.Confirmatory factor analysis indicated a satisfactory model fit.The overall Cronbach's αcoefficient was 0.951.The split-half reliability was 0.734.The test-retest reliability was 0.795.Conclusions:The Chinese version of the AIAS demonstrates acceptable reliability and validity.It could be used as a valid tool to assess the level of artificial intelligence anxiety among medical students in China.关键词
人工智能/焦虑/量表/汉化/信度/效度Key words
artificial intelligence/anxiety/scale/Chinesization/reliability/validity引用本文复制引用
王点,商丽,孙莉,刘海蕙,王可欣..人工智能焦虑量表的汉化及信效度检验[J].护理研究,2026,40(10):1730-1735,6.基金项目
2025年教育部供需对接就业育人项目,编号:2025031068067 （）
中华医学会医学教育分会和全国医学教育发展中心2025年医学教育研究课题,编号:2025B112 （）
湖北医药学院2025年度研究生教育教学研究立项项目,编号:YJ2025032 （）
