Validity and reliability analysis of the Turkish life satisfaction scale developed through artificial intelligence
Küçük Resim Yok
Tarih
2025
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springernature
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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., 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.
Açıklama
Anahtar Kelimeler
Artificial intelligence, Life satisfaction, Validity, Reliability, Scale development, University students
Kaynak
Bmc Psychology
WoS Q Değeri
Q1
Scopus Q Değeri
Q2
Cilt
13
Sayı
1
