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

Bibliographic Data

ID15699406
AuthorsServet Ati̇k (0000-0003-2841-6182, Inonu University), Nuri Erdemi̇r (0000-0002-5106-7884, Inonu University, corresponding author)
Year2025
Volume13
Issue1
Pages1139-1139
Publication date2025-10-14
Open AccessYes
TypeARTICLE
VenueBMC Psychology (JOURNAL)
Journal identifiersISSN: 2050-7283 • E-ISSN: 2050-7283
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s40359-025-03246-2
PMID41088274
OpenAlexW4415151859
LanguageEN
Citations received1
References cited42

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., χ 2 /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

Confirmatory factor analysis · Exploratory factor analysis · Life satisfaction · Psychometrics · Reliability (semiconductor · Scale (ratio · Turkish · Variance (accounting · COVID-19 and Mental Health · Optimism, Hope, and Well-being · Psychological Well-being and Life Satisfaction

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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