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

IF 4 3区 医学 Q1 NURSING
Mensure Turan , Zeliha Cengiz
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引用次数: 0

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 α 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 χ²/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.
护生对人工智能量表(NGAAIS)的总体态度:土耳其效度与信度研究
目的评估土耳其护生对人工智能总体态度量表的效度和信度,以确定其在评估护理实践中对人工智能态度的适用性。背景为了将人工智能支持的健康应用有效地整合到护理教育和实践中,有必要使用有效的工具来评估个人对人工智能的态度。方法采用横断面研究方法,对量表的效度和信度进行评估。该研究由来自土耳其护理学院的417名本科护理学生参与。采用内容效度、探索性因子分析、Cronbach α系数、项目-总量相关、劈半法等方法对量表进行效度和信度评价。结果量表具有内容效度,内容效度指数(CVI)为0.96。验证性因子分析得到的拟合指标是可以接受的,χ²/SD值为2.49。拟合指数也在可接受范围内(GFI = 0.98, AGFI = 0.99, CFI = 1.00, RMSEA = 0.061, SRMR = 0.057)。因子分析产生了一个包含20个项目的测量工具,包括四个子维度(人工智能在护理中的益处(6个项目)、人工智能的风险(8个项目)、实际优势(4个项目)和使用意愿(2个项目)。进一步确定Cronbach alpha值为0.914。结论土耳其版本从获益、危险、实践优势和使用意愿等方面衡量了人们对护理中人工智能的态度,是一种有效可靠的工具。该测量工具可在护理科学中安全使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.40
自引率
9.40%
发文量
180
审稿时长
51 days
期刊介绍: Nurse Education in Practice enables lecturers and practitioners to both share and disseminate evidence that demonstrates the actual practice of education as it is experienced in the realities of their respective work environments. It is supportive of new authors and will be at the forefront in publishing individual and collaborative papers that demonstrate the link between education and practice.
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