Faculty of Optics and Optometry, Universidad Complutense de Madrid, Madrid, Spain.
Faculty of Statistical Studies, Universidad Complutense de Madrid, Madrid, Spain.
Invest Ophthalmol Vis Sci. 2014 Jun 17;55(7):4504-11. doi: 10.1167/iovs.13-13818.
To develop a questionnaire (in Spanish) to measure computer-related visual and ocular symptoms (CRVOS).
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, this group completed the CVSS17 twice in order to assess test-retest reliability (two-way single-measure intraclass correlation coefficient [ICC] and their 95% confidence intervals, and the coefficient of repeatability [COR]).
The CVSS17 contains 17 items exploring 15 different symptoms. These items showed good reliability and internal consistency (mean square infit and outfit 0.88-1.17, eigenvalue for the first residual PCA component 1.37, person separation 2.85, and no DIF). Pearson's correlation with VDS scores was 0.60 (P < 0.001). Intraclass correlation coefficient for test-retest reliability was 0.849 (95% confidence interval [CI], 0.800-0.887), and COR was 8.14.
The Rasch-based linear-scale CVSS17 emerged as a useful tool to quantify CRVOS in computer workers. : Spanish Abstract.
开发一种（西班牙语）问卷来测量与计算机相关的视觉和眼部症状（CRVOS）。
通过查阅文献、临床医生和视频显示终端（VDT）工人的资料，创建了一个试点问卷。对 636 名完成问卷的受试者的回复进行了评估，使用 Rasch 模型和常规统计数据生成了一个新的量表，命名为计算机视觉症状量表（CVSS17）。通过 Rasch 拟合统计、主成分分析（PCA）、个体分离、差异项目功能（DIF）和项目-个体目标来确定有效性和可靠性。为了评估结构效度，CVSS17 与 163 名 VDT 工人的基于 Rasch 的视觉不适量表（VDS）相关联，该组两次完成 CVSS17 以评估测试-重测可靠性（双向单测组内相关系数[ICC]及其 95%置信区间和可重复性系数[COR]）。
CVSS17 包含 17 个项目，涉及 15 种不同的症状。这些项目表现出良好的可靠性和内部一致性（均方 infit 和 outfit 0.88-1.17，第一残差 PCA 分量的特征值为 1.37，个体分离为 2.85，无 DIF）。与 VDS 评分的 Pearson 相关系数为 0.60（P<0.001）。测试-重测可靠性的组内相关系数为 0.849（95%置信区间[CI]，0.800-0.887），而 COR 为 8.14。
基于 Rasch 的线性量表 CVSS17 成为量化计算机工作者 CRVOS 的有用工具。
