Validity and reliability analysis of the Turkish life satisfaction scale developed through artificial intelligence

This 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., χ²/sd = 2.63, RMSEA = 0.07). The scale demonstrated high internal consistency (Cronbach's α = .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.