Psychometric Evaluation of the Artificial Intelligence User Self-Efficacy Scale in the Iranian Population

Document Type : Original Article

Authors

1 Professor of Counseling, University of Mohaghegh Ardabili, Ardabil, Iran.

2 PhD student in Counseling, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran.

3 Ph.D. Student in Counseling, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran.

Abstract

Aim: This study aimed to evaluate the psychometric properties of the Artificial Intelligence User Self-Efficacy Scale in an Iranian adult sample.

Method: Using a descriptive survey design, 340 adults (137 men, 203 women) aged over 20 with basic AI and computer knowledge were selected via convenience sampling in 2024. Instruments included the AI User Self-Efficacy Scale, Questionnaire of AI Use Motives (QAIUM), and the Attitudes Toward AI Scale – Short Form (ATAI).

Results: Confirmatory factor analysis supported four dimensions: assistance, anthropomorphic interaction, comfort with AI, and technological skills. Significant positive correlations with QAIUM and ATAI (acceptance subscale) and a negative correlation with the fear of AI subscale confirmed concurrent validity. Reliability (Cronbach’s alpha) ranged from 0.83 to 0.96.

Conclusion: The scale demonstrates strong psychometric properties in the Iranian population and may support educational and organizational AI adoption.

Keywords

Main Subjects

References

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