Miri Jeong
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Articles (5)
Year:
2025
Year:
2024
This study aimed to translate the affinity for technology interaction (ATI) scale into Korean and examine its validity and reliability to measure nurses’ interactions and affinity with digital healthcare. Data from 154 nurses employed by general hospitals were analyzed. This developmental and psychometrical evaluation of the ATI scale included a translation, a pilot test, and psychometric properties. Concurrent validity, content validity, construct validity, and reliability testing were completed. The corrected item–total correlation was below the standard of 0.3, and the content validity index was >0.8. The Kaiser–Meyer–Olkin and Bartlett sphericity test values were 0.81 and Χ2 = 496.25 (p < 0.001), respectively. The exploratory factor analysis (EFA) result was extracted as two factors, with an overall variance of 60.52%. The correlation between the ATI scale and the Quality Improvement Information System acceptance tool was examined to confirm concurrent validity and showed a significant correlation. Cronbach’s α was 0.75, indicating adequate reliability. ATI’s internal, construct, and concurrent validity demonstrated its suitability as a tool. Therefore, assessing nurses’ information and communication technology proficiency and developing strategies for boosting it would be possible.
Year:
2023
Year:
2022
Year:
2021
Collaborators (2)
Hyun-Ju Seo
Associate professor
Chungbuk National University
Myonghwa Park
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