Turkish Version of the Generative AI Dependency Scale: Validity, Reliability, and Psychometric Properties
Abstract
With the increasing prevalence of generative artificial intelligence use, addiction behaviors toward this technology have begun to attract the interest of researchers. Furthermore, addressing the multidimensional structure of generative artificial intelligence addiction through context-specific measurement tools can provide significant contributions for both researchers and practitioners. This study aims to adapt the multidimensional Generative Artificial Intelligence Dependency Scale (GAIDS) for a Turkish sample and examine its psychometric properties. The research sample consists of a total of 411 Turkish participants, comprising 341 women and 70 men. Confirmatory factor analysis validated the three-factor structure consistently with the original scale: Cognitive Preoccupation, Negative Consequences, and Withdrawal symptoms. The GAIDS exhibited a high level of internal consistency (α = 0.88; ω = 0.89). Correlation analyses conducted to examine criterion validity revealed significant positive relationships between the GAIDS and the Short Form of Young’s Internet Addiction Test and the Artificial Intelligence Chatbot Addiction Scale. These findings indicate that the Turkish adaptation of the GAIDS is a valid and reliable measurement tool for assessing generative artificial intelligence addiction.
Keywords
References
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Details
Primary Language
English
Subjects
Psychological Counseling and Guidance (Other)
Journal Section
Research Article
Publication Date
May 6, 2026
Submission Date
February 11, 2026
Acceptance Date
April 17, 2026
Published in Issue
Year 2026 Volume: 10
APA
Seki, T., Şimşir Gökalp, Z., Abdilamitova, Z., Küçükdere, R. T., & Bayat, A. (2026). Turkish Version of the Generative AI Dependency Scale: Validity, Reliability, and Psychometric Properties. Research on Education and Psychology, 10. https://doi.org/10.54535/rep.1886848
AMA
1.Seki T, Şimşir Gökalp Z, Abdilamitova Z, Küçükdere RT, Bayat A. Turkish Version of the Generative AI Dependency Scale: Validity, Reliability, and Psychometric Properties. Research on Education and Psychology. 2026;10. doi:10.54535/rep.1886848
Chicago
Seki, Tolga, Zeynep Şimşir Gökalp, Zhumagul Abdilamitova, Rıza Taha Küçükdere, and Asiye Bayat. 2026. “Turkish Version of the Generative AI Dependency Scale: Validity, Reliability, and Psychometric Properties”. Research on Education and Psychology 10 (May). https://doi.org/10.54535/rep.1886848.
EndNote
Seki T, Şimşir Gökalp Z, Abdilamitova Z, Küçükdere RT, Bayat A (May 1, 2026) Turkish Version of the Generative AI Dependency Scale: Validity, Reliability, and Psychometric Properties. Research on Education and Psychology 10
IEEE
[1]T. Seki, Z. Şimşir Gökalp, Z. Abdilamitova, R. T. Küçükdere, and A. Bayat, “Turkish Version of the Generative AI Dependency Scale: Validity, Reliability, and Psychometric Properties”, Research on Education and Psychology, vol. 10, May 2026, doi: 10.54535/rep.1886848.
ISNAD
Seki, Tolga - Şimşir Gökalp, Zeynep - Abdilamitova, Zhumagul - Küçükdere, Rıza Taha - Bayat, Asiye. “Turkish Version of the Generative AI Dependency Scale: Validity, Reliability, and Psychometric Properties”. Research on Education and Psychology 10 (May 1, 2026). https://doi.org/10.54535/rep.1886848.
JAMA
1.Seki T, Şimşir Gökalp Z, Abdilamitova Z, Küçükdere RT, Bayat A. Turkish Version of the Generative AI Dependency Scale: Validity, Reliability, and Psychometric Properties. Research on Education and Psychology. 2026;10. doi:10.54535/rep.1886848.
MLA
Seki, Tolga, et al. “Turkish Version of the Generative AI Dependency Scale: Validity, Reliability, and Psychometric Properties”. Research on Education and Psychology, vol. 10, May 2026, doi:10.54535/rep.1886848.
Vancouver
1.Tolga Seki, Zeynep Şimşir Gökalp, Zhumagul Abdilamitova, Rıza Taha Küçükdere, Asiye Bayat. Turkish Version of the Generative AI Dependency Scale: Validity, Reliability, and Psychometric Properties. Research on Education and Psychology. 2026 May 1;10. doi:10.54535/rep.1886848