ArticlePloS one2018
Five levels of performance and two subscales identified in the computer-vision symptom scale (CVSS17) by Rasch, factor, and discriminant analysis.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Psychometric Validation of a Short-Form Spanish Low Vision Quality of Life Questionnaire (SF-SLVQOL) Using Rasch Analysis: From 25 to 6 Items.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026Article
- Digital Eye Strain and Perceived Academic Burden Among Syrian Medical Students: A Multicenter Cross-Sectional Study of Symptom Burden and Associated Factors.Advances in medical education and practice · 2026Article
- Effects of artificial tears on ocular surface symptoms and visual task performance in digital device users.Scientific reports · 2025Article
- Development and initial validation of DESCAQ: A Rasch-based computer-adaptive questionnaire for assessing digital eye strain.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025Article
- Assessment of digital eye strain and its associated factors among school children in Palestine.BMC ophthalmology · 2025Article
- English version of the Computer Vision Symptom Scale (CVSS17): Translation and Rasch analysis-based cultural adaptation.PloS one · 2025Article
- Translation and Preliminary Validation of the Computer Vision Syndrome Scale-17 (CVSS-17) into Arabic: A Pilot Study.Clinical ophthalmology (Auckland, N.Z.) · 2025Article
- Digital Eye Strain: Updated Perspectives.Clinical optometry · 2024Review
- Spanish Cross-Cultural Adaptation, Rasch Analysis and Validation of the Ocular Comfort Index (OCI) Questionnaire.International journal of environmental research and public health · 2022Article
- The 17-Item Computer Vision Symptom Scale Questionnaire (CVSS17): Translation, Validation and Reliability of the Italian Version.International journal of environmental research and public health · 2022Article
- Visual Sequelae of Computer Vision Syndrome: A Cross-Sectional Case-Control Study.Journal of ophthalmology · 2021Article
- Spanish Cross-Cultural Adaptation and Rasch Analysis of the Convergence Insufficiency Symptom Survey (CISS).Translational vision science & technology · 2020Article
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Authors and funding
4 authors.
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Abstract
purposeTo quantify the levels of performance (symptom severity) of the computer-vision symptom scale (CVSS17), confirm its bifactorial structure as detected in an exploratory factor analysis, and validate its factors as subscales.
methodsBy partial credit model (PCM), we estimated CVSS17 measures and the standard error for every possible raw score, and used these data to determine the number of different performance levels in the CVSS17. In addition, through discriminant analysis, we checked that the scale's two main factors could classify subjects according to these determined levels of performance. Finally, a separate Rasch analysis was performed for each CVSS17 factor to assess their measurement properties when used as isolated scales.
resultsWe identified 5.8 different levels of performance. Discriminant functions obtained from sample data indicated that the scale's main factors correctly classified 98.4% of the cases. The main factors: Internal symptom factor (ISF) and external symptom factor (ESF) showed good measurement properties and can be considered as subscales.
conclusionCVSS17 scores defined five different levels of performance. In addition, two main factors (ESF and ISF) were identified and these confirmed by discriminant analysis. These subscales served to assess either the visual or the ocular symptoms attributable to computer use.
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