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

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dc.contributor.authorAtik, Servet
dc.contributor.authorErdemir, Nuri
dc.date.accessioned2026-04-04T13:33:05Z
dc.date.available2026-04-04T13:33:05Z
dc.date.issued2025
dc.departmentİnönü Üniversitesi
dc.description.abstractThis 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.
dc.identifier.doi10.1186/s40359-025-03246-2
dc.identifier.issn2050-7283
dc.identifier.issue1
dc.identifier.pmid41088274
dc.identifier.scopus2-s2.0-105018649005
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1186/s40359-025-03246-2
dc.identifier.urihttps://hdl.handle.net/11616/108914
dc.identifier.volume13
dc.identifier.wosWOS:001594389300011
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringernature
dc.relation.ispartofBmc Psychology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250329
dc.subjectArtificial intelligence
dc.subjectLife satisfaction
dc.subjectValidity
dc.subjectReliability
dc.subjectScale development
dc.subjectUniversity students
dc.titleValidity and reliability analysis of the Turkish life satisfaction scale developed through artificial intelligence
dc.typeArticle

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