Validity and reliability of the Chinese translation of the attitude scale towards the use of artificial intelligence technologies in nursing (ASUAITIN)- a cross-sectional study
Abstract Aim This study aimed to test the psychometric properties of the Attitudes Toward Artificial Intelligence in Nursing Scale (ASUAITIN) in Chinese culture. Methods A convenience sampling method was employed to recruit 499 clinical nurses from Sichuan Province, China. Following the Brislin mode...
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| Format: | Article |
| Language: | English |
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BMC
2025-07-01
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| Series: | BMC Nursing |
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| Online Access: | https://doi.org/10.1186/s12912-025-03322-3 |
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| author | Rong Hu Yan-fei Ma Chun-yan Wang Xiao-ya Li Hua-ping Huang |
| author_facet | Rong Hu Yan-fei Ma Chun-yan Wang Xiao-ya Li Hua-ping Huang |
| author_sort | Rong Hu |
| collection | DOAJ |
| description | Abstract Aim This study aimed to test the psychometric properties of the Attitudes Toward Artificial Intelligence in Nursing Scale (ASUAITIN) in Chinese culture. Methods A convenience sampling method was employed to recruit 499 clinical nurses from Sichuan Province, China. Following the Brislin model, the ASUAITIN scale underwent forward translation, synthesis, and back-translation. Cultural adaptation and revisions were conducted through expert consultation and pilot testing, resulting in the finalized ASUAITIN-C. The structural validity of the scale was evaluated using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Reliability was assessed through internal consistency and test-retest reliability. Results The ASUAITIN-C consists of 15 items and two factors, which account for 73.278% of the total variance. The overall Cronbach’s α coefficient of the ASUAITIN-C is 0.785, while the Cronbach’s α values for the two subdimensions are 0.920 and 0.948, respectively. The test-retest reliability over two months, measured by the intraclass correlation coefficient (ICC), is 0.91. Conclusion Studies have shown that this questionnaire is a valid and reliable tool for assessing nurses’ attitudes toward using artificial intelligence in the nursing field. |
| format | Article |
| id | doaj-art-00183d11bb914393a9edf2acfc8028c4 |
| institution | Kabale University |
| issn | 1472-6955 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Nursing |
| spelling | doaj-art-00183d11bb914393a9edf2acfc8028c42025-08-20T03:45:23ZengBMCBMC Nursing1472-69552025-07-012411910.1186/s12912-025-03322-3Validity and reliability of the Chinese translation of the attitude scale towards the use of artificial intelligence technologies in nursing (ASUAITIN)- a cross-sectional studyRong Hu0Yan-fei Ma1Chun-yan Wang2Xiao-ya Li3Hua-ping Huang4Department of Orthopedics, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of ChinaDepartment of Orthopedics, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of ChinaDepartment of Orthopedics, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of ChinaDepartment of Orthopedics, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of ChinaDepartment of Orthopedics, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of ChinaAbstract Aim This study aimed to test the psychometric properties of the Attitudes Toward Artificial Intelligence in Nursing Scale (ASUAITIN) in Chinese culture. Methods A convenience sampling method was employed to recruit 499 clinical nurses from Sichuan Province, China. Following the Brislin model, the ASUAITIN scale underwent forward translation, synthesis, and back-translation. Cultural adaptation and revisions were conducted through expert consultation and pilot testing, resulting in the finalized ASUAITIN-C. The structural validity of the scale was evaluated using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Reliability was assessed through internal consistency and test-retest reliability. Results The ASUAITIN-C consists of 15 items and two factors, which account for 73.278% of the total variance. The overall Cronbach’s α coefficient of the ASUAITIN-C is 0.785, while the Cronbach’s α values for the two subdimensions are 0.920 and 0.948, respectively. The test-retest reliability over two months, measured by the intraclass correlation coefficient (ICC), is 0.91. Conclusion Studies have shown that this questionnaire is a valid and reliable tool for assessing nurses’ attitudes toward using artificial intelligence in the nursing field.https://doi.org/10.1186/s12912-025-03322-3Artificial intelligence technologiesNursingPsychologicalScale |
| spellingShingle | Rong Hu Yan-fei Ma Chun-yan Wang Xiao-ya Li Hua-ping Huang Validity and reliability of the Chinese translation of the attitude scale towards the use of artificial intelligence technologies in nursing (ASUAITIN)- a cross-sectional study BMC Nursing Artificial intelligence technologies Nursing Psychological Scale |
| title | Validity and reliability of the Chinese translation of the attitude scale towards the use of artificial intelligence technologies in nursing (ASUAITIN)- a cross-sectional study |
| title_full | Validity and reliability of the Chinese translation of the attitude scale towards the use of artificial intelligence technologies in nursing (ASUAITIN)- a cross-sectional study |
| title_fullStr | Validity and reliability of the Chinese translation of the attitude scale towards the use of artificial intelligence technologies in nursing (ASUAITIN)- a cross-sectional study |
| title_full_unstemmed | Validity and reliability of the Chinese translation of the attitude scale towards the use of artificial intelligence technologies in nursing (ASUAITIN)- a cross-sectional study |
| title_short | Validity and reliability of the Chinese translation of the attitude scale towards the use of artificial intelligence technologies in nursing (ASUAITIN)- a cross-sectional study |
| title_sort | validity and reliability of the chinese translation of the attitude scale towards the use of artificial intelligence technologies in nursing asuaitin a cross sectional study |
| topic | Artificial intelligence technologies Nursing Psychological Scale |
| url | https://doi.org/10.1186/s12912-025-03322-3 |
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