Five levels of performance and two subscales identified in the computer-vision symptom scale (CVSS17) by Rasch, factor, and discriminant analysis

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dc.contributor.authorGonzález Pérez, Mariano
dc.contributor.authorSusi García, María Del Rosario
dc.contributor.authorBarrio De Santos, Ana Rosa
dc.contributor.authorAntona Peñalba, Beatriz
dc.date.accessioned2023-06-17T13:18:57Z
dc.date.available2023-06-17T13:18:57Z
dc.date.issued2018-08-28
dc.descriptionReceived: September 27, 2017; Accepted: July 30, 2018; Published: August 28, 2018 Editor: José M. González-Méijome, Universidade do Minho, PORTUGAL
dc.description.abstractPurpose: To 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. Methods: By 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. Results: We 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. Conclusion: CVSS17 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.
dc.description.departmentDepto. de Optometría y Visión
dc.description.facultyFac. de Óptica y Optometría
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/50768
dc.identifier.doi10.1371/journal.pone.0202173
dc.identifier.issn1932-6203
dc.identifier.officialurlhttps://doi.org/10.1371/journal.pone.0202173
dc.identifier.relatedurlhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0202173
dc.identifier.urihttps://hdl.handle.net/20.500.14352/13018
dc.issue.number8
dc.journal.titlePLoS ONE
dc.language.isoeng
dc.page.initiale0202173
dc.publisherPublic Library Science
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/es/
dc.subject.cdu004.3:617.75
dc.subject.cdu159.9.072
dc.subject.keywordEyes
dc.subject.keywordFactor analysis
dc.subject.keywordOphthalmology
dc.subject.keywordQuestionnaires
dc.subject.keywordEigenvalues
dc.subject.keywordResearch validity
dc.subject.keywordAge groups
dc.subject.keywordPsychometrics
dc.subject.ucmEstadística aplicada
dc.subject.ucmPsicometría
dc.subject.ucmOptometría
dc.subject.ucmÓptica fisiológica
dc.subject.ucmAnálisis de datos
dc.subject.ucmEstadística
dc.subject.unesco6105.05 Psicometría
dc.subject.unesco2209.15 Optometría
dc.subject.unesco1209 Estadística
dc.subject.unesco1209.03 Análisis de datos
dc.titleFive levels of performance and two subscales identified in the computer-vision symptom scale (CVSS17) by Rasch, factor, and discriminant analysis
dc.typejournal article
dc.volume.number13
dspace.entity.typePublication
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