Nursing Students' General Attitudes Towards Artificial Intelligence Scale (NGAAIS): A Turkish validity and reliability study

Abstract

Aim: The Turkish validity and reliability of the Nursing Students' General Attitudes Towards Artificial Intelligence Scale was evaluated to ascertain its applicability in assessing attitudes towards AI in nursing practices Background: For the effective integration of AI supported health applications into nursing education and practice, it is essential to assess individuals' attitudes toward AI using valid instruments. Method: This cross-sectional study aimed to assess the validity and reliability of a scale. It was conducted with 417 undergraduate nursing students from a Turkish nursing faculty participating. The scale's validity and reliability were assessed using several methods, including content validity, exploratory factor analyses, the Cronbach alpha coefficient, item-total correlation and split-half method. Result: The scale demonstrated content validity, with a content validity index (CVI) of 0.96. The fit indices obtained through confirmatory factor analysis were found to be acceptable, with a chi 2/SD value of 2.49. The fit indices values were also within acceptable limits (GFI = 0.98, AGFI = 0.99, CFI = 1.00, RMSEA = 0.061, SRMR = 0.057). The factor analysis yielded a 20-item measurement tool comprising four sub-dimensions (Benefits of AI in Nursing (6 items), Risks of AI (8 items), Practical Advantages (4 items) and Willingness to Use (2 items). Furthermore, the Cronbach alpha value was determined to be 0.914. Conclusion: The Turkish version, which measures attitudes towards AI in nursing in the dimensions of benefits, dangers, advantages in practice and willingness to use, is a valid and reliable instrument. The measurement tool can be used safely in nursing science.