人工智能焦虑量表的汉化及信效度检验OA

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.