用Rasch分析法评价中文版低视力生活质量问卷

Lingzhi Ni, Jingwei Zheng, Yu Zhu, Longfei Jiang
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摘要

目的:运用Rasch分析法对中文版《低视力生活质量问卷》进行分析和完善。方法:对2017年1月至2017年12月在温州医科大学眼科医院低视力与视力康复中心就诊的189例低视力患者完成CLVQOL。患者平均年龄40.9±20.2岁,男女比例为1.6:1。基于每个项目的得分,采用Winsteps 3.72.2版本软件对CLVQOL进行Rasch分析:维度、反应排序、局部依赖、infit和outfit分析、差异项目功能和受试者定位。结果:CLVQOL包含4个分量表。第一次对比的特征值表明,各维度的未解释响应都在2左右;单维度测试仍然是可以接受的。每个子量表的反应顺序显示,选项2和4与其相邻选项没有明显区分。没有发现任何子量表有显著的局部依赖性。拟合分析结果显示,Q24的均方拟合值为1.55,均方拟合值为1.58,均在0.60 ~ 1.40的范围之外。在Q24上,性别的项目功能存在差异,对比差异大于5。目标分析表明相对较差的匹配。除子量表3外,各维度的平均人均高于平均项,且各维度的测试信息相对狭窄。结论:对CLVQOL的Rasch分析表明,CLVQOL具有良好的信度和效度,但每个项目的选项反应需要根据中国低视力患者的社会经济状况进行重新设计以适应中国低视力患者。关键词:拉希分析;《低视力生活质量问卷》中文版低视力;次生氧化皮
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Evaluation of the Chinese Version of the Low Vision Quality of Life Questionnaire Using Rasch Analysis
Objective: To use Rasch analysis to analyze and refine the Chinese version of the Low Vision Quality of Life Questionnaire (CLVQOL). Methods: The CLVQOL was completed by 189 low vision patients who attended the Low Vision & Vision Rehabilitation Center of the Eye Hospital, Wenzhou Medical University from January 2017 to December 2017. Mean age of the patients was 40.9±20.2 years, and the male/female ratio was 1.6:1. Based on the score for each item, Rasch analysis was performed on CLVQOL using the following steps: Dimensionality, response ordering, local dependence, infit and outfit analyses, differential item functioning, and subject targeting by using the Winsteps software version 3.72.2. Results: The CLVQOL contains four subscales. The eigen value of first contrast showed that the unexplained responses in each dimension are all around 2; the single-dimension test is still acceptable. Response ordering in each subscale showed options 2 and 4 were not clearly separated from their adjacent options. No notable local dependence was found for any subscale. According to the results of fit analysis, the mean square infit value of Q24 was 1.55, the mean square outfit value of Q24 was 1.58, both out of the range of 0.60 to 1.40. Differential item functioning was noted for sex on Q24, with a contrast difference >5. Analysis of targeting indicated relatively poor matches. The mean person in each dimension was higher than the mean item except on subscale 3, and the test information of each dimension was relatively narrow. Conclusion: The Rasch analysis of the CLVQOL shows that CLVQOL has a good degree of reliability and validity, but the option response to each item must redesigned to fit Chinese low vision patients according to their socioeconomic status. Key words: Rasch analysis; Chinese version of the Low Vision Quality of Life Questionnaire; low vision; subscale
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