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Aim <p>This study aimed to test the psychometric properties of the Attitudes Toward Artificial Intelligence in Nursing Scale (ASUAITIN) in Chinese culture.</p> Methods <p>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.</p> Results <p>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.</p> Conclusion <p>Studies have shown that this questionnaire is a valid and reliable tool for assessing nurses’ attitudes toward using artificial intelligence in the nursing field.</p>

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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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月1日

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  • Rong Hu,
  • Yan-fei Ma,
  • Chun-yan Wang,
  • Xiao-ya Li,
  • Hua-ping Huang

摘要

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.