ArticleNature and science of sleep2022
Psychometric Validation of the Athens Insomnia Scale Among Nurses: A Robust Approach Using Both Classical Theory and Rating Scale Model Parameters.
Article in Nature and science of sleep, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Validation and reliability of the Athens Insomnia Scale-8 in Chinese psychiatric inpatients.Frontiers in psychiatry · 2026Article
- Assessment of sleep phase, quality, and quantity: the development and validation of the 3-dimensional sleep scale (3DSS).Sleep and biological rhythms · 2026Article
- Association between shift work and insomnia in nurses: a cross-sectional study using the Athens Insomnia Scale.Frontiers in public health · 2026Article
- Hamilton Rating Scale for Anxiety: exploring validity with robust measures of classical theory parameters and a rating scale model in university students.BJPsych open · 2025Article
- The mediating effect of resilience and COVID-19 anxiety on the relationship between social support and insomnia among healthcare workers: a cross-sectional study.Frontiers in psychiatry · 2024Article
- Mental health status and related influencing factors in patients with COVID-19.BMC psychology · 2023Article
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Abstract
Purpose: Few studies have investigated the validity of the Athens insomnia scale (AIS) using a robust approach of both classical theory and the rating scale model. Therefore, in this study, we investigated psychometric validation of the AIS using both of these approaches in nurses. Methods: Nurses (n= 563, age= 33.2±7.1 years) working in health facilities in Saudi Arabia participated in a cross-sectional study. Participants completed the AIS, socio-demographics tool, and sleep health-related questions. Results: Confirmatory factor analysis (CFA) favored a 2-factor structure with both comparative fit index (CFI), and incremental fit index (IFI) having values above 0.95. The 2-factor model had the lowest values of Akaike information criterion (AIC), root mean square error of approximation (RMSEA), Conclusion: The findings favor the validity of a 2-factor structure of the AIS with adequate item properties, convergent validity, and reliability in nurses.
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