Atik, ServetErdemir, Nuri2026-04-042026-04-0420252050-7283https://doi.org/10.1186/s40359-025-03246-2https://hdl.handle.net/11616/108914This study evaluates the validity and reliability of a Turkish Life Satisfaction Scale developed using artificial intelligence (ChatGPT) to explore AI's potential in creating psychometric tools. The scale was tested on three independent samples of Turkish university students: 503 for Exploratory Factor Analysis (EFA), 301 for Confirmatory Factor Analysis (CFA), and 79 for test-retest reliability. EFA identified a unidimensional structure, accounting for 67.50% of the total variance (factor loadings .75-.89). CFA confirmed adequate model-data fit (e.g., chi 2/sd = 2.63, RMSEA = 0.07). The scale demonstrated high internal consistency (Cronbach's alpha = .88) and temporal stability (test-retest correlation = .95). Criterion validity was supported by strong positive correlations with established Life Satisfaction (r = .74) and General Well-Being (r = .63) scales. These findings indicate that AI can expedite scale development while yielding robust psychometric instruments. This research underscores the innovative potential of AI-supported psychometric tools in the social sciences and offers valuable insights for future scale development.eninfo:eu-repo/semantics/openAccessArtificial intelligenceLife satisfactionValidityReliabilityScale developmentUniversity studentsArticle1314108827410.1186/s40359-025-03246-22-s2.0-105018649005Q2WOS:001594389300011Q1