Clinical and Epidemiologic Research The Computer-Vision Symptom Scale (CVSS17): Development and Initial Validation

نویسندگان

  • Mariano González-Pérez
  • Rosario Susi
  • Beatriz Antona
  • Ana Barrio
  • Enrique González
  • Mariano González
چکیده

METHODS. A pilot questionnaire was created by consulting the literature, clinicians, and video display terminal (VDT) workers. The replies of 636 subjects completing the questionnaire were assessed using the Rasch model and conventional statistics to generate a new scale, designated the Computer-Vision Symptom Scale (CVSS17). Validity and reliability were determined by Rasch fit statistics, principal components analysis (PCA), person separation, differential item functioning (DIF), and item–person targeting. To assess construct validity, the CVSS17 was correlated with a Rasch-based visual discomfort scale (VDS) in 163 VDT workers. Test–retest reliability (two-way single-measure intraclass correlation coefficients [ICC] and their 95% confidence intervals, and coefficients of repeatability [COR]).

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تاریخ انتشار 2015