Psychometric assessment of the Persian translated version of the “medical artificial intlligence readiness scale for medical students”

Nasrin Khajeali, Noushin Kohan, Sajjad Rezaei and Alia Saberi

PLOS ONE, 2025, vol. 20, issue 5, 1-13

Abstract: Background: Artificial intelligence (AI) has recently entered the medical field, but the level of readiness of medical students for it is not obvious. A tool with appropriate psychometric properties for use in different languages and for international comparison is required to measure this readiness. Medical Artificial Intelligence Readiness Scale for medical students (MAIRS-MS) is most complete scale for this purpose till now. Objectives: The purpose was to evaluate the Psychometric properties of the Persian-translated version of the MAIRS-MS and verify the replication of the original factor structure in Persian. Materials and methods: This study was conducted at Guilan University of Medical Sciences in 2023. Validation of the Persian translated scale (P-MAIRS-MS) was performed by determining the face, content, and construct validity and reliability, impact Score, CVI, CVR, Cronbach’s alpha, McDonald’s omega, and ICC, and performing confirmatory factor analysis (CFA). AMOS26 and SPSS26 software were used. Results: The translated scale had good quantitative and qualitative face and content validity (all items had the Impact Score higher than 1.5, CVI >= 0.8 and CVR>= 0.8). CFA confirmed the appropriate fit of the four-factor model (χ2/df = 1.963, RMSEA-0.063, CFI = 0.939, GFI = 0.901). Convergent validity was suitable in the first- and second-order CFA (AVE > 0.5, CR > 0.7 CR > AVE for each factor except Ability). Cronbach’s alpha (α=0.938) and McDonald’s omega (ω= 0.938), and ICC (0.992) indicated acceptable reliability and reproducibility of the scale. Conclusion: The P-MAIRS-MS demonstrated good psychometric properties and can be used for measuring and international comparing the medical students’ readiness for AI.

Date: 2025
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0323543 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 23543&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0323543

DOI: 10.1371/journal.pone.0323543

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().