Background

The aim was to estimate the psychometric properties of the COVID-19-related distress scale in our society, as well as verifying the global structure of the COVID-19-related distress scale through exploratory factor analysis and the confirmatory factor analysis model for the dimensions prepared in the light of previous studies and the general factor model.

Methods

The study follows the design of the exploratory cross-sectional studies by applying a scale electronically using the Google Forms tool. Construct validity was evaluated using confirmatory factor analysis, exploratory factor analysis, and content validity. Pearson product-moment correlation, Cronbach's alpha reliability coefficient, and test-retest methods were used to evaluate reliability.

Results

In the analysis made for internal consistency in the reliability study of the scale, the Cronbach's alpha reliability coefficients were determined as α = 0.93 for the physical dimension subscale, 0.90 for the psychological and emotional dimension, 0.92 for cognitive dimension, 0.91 for the social dimension, 0.92 for behavioral dimension, 0.87 for living Dimension and 0.94 for the whole scale. The total number of items on the scale is 62. It is clear that the items of the scale explained 55.49 % of the variance of the correlation matrix between the items, which indicates that the scale has an appropriate degree to extract the variance that explains COVID-19-related distress. The fit indices were found to be Chi square = 862.30 (p < .001), degree of freedom = 210 (χ2 = 862.30; df = 210, χ2/df = 4.10), root mean square error of approximation (RMSEA) = 0.07 (p < .05) standardized root mean- square residual (SRMR) = 0.05, comparative fit index (CFI) = 0.92, non-normed fit index (NNFI) = 0.95, goodness of fit index (GFI) = 0.95, and adjusted goodness of fit index (AGFI) = 0.94.

Conclusions

The COVID-19-related distress scale is an easy to administer, valid, and reliable instrument to assess COVID-19-related distress. This instrument can be a helpful tool informing us about distress related to COVID-19 and hence may prevent adverse long-term consequences arising due to pandemic.

中文翻译：

---

COVID-19相关痛苦量表在残疾儿童和青少年中的心理测量特性和临床效用

背景

目的是估计我们社会中 COVID-19 相关痛苦量表的心理测量特性，并通过探索性因素分析和维度的验证性因素分析模型验证 COVID-19 相关痛苦量表的整体结构根据以往的研究和一般因素模型准备的。

方法

该研究遵循探索性横断面研究的设计，通过使用 Google 表单工具以电子方式应用量表。使用验证性因素分析、探索性因素分析和内容效度评估结构效度。使用 Pearson 积矩相关性、Cronbach α 信度系数和重测方法来评估信度。

结果

在量表信度研究的内部一致性分析中，Cronbach的α信度​​系数确定为：物理维度子量表α=0.93，心理和情感维度0.90，认知维度0.92，社会维度0.91 ，行为维度为 0.92，生活维度为 0.87，整个量表为 0.94。量表上的项目总数为62。很明显，该量表的项目解释了项目之间相关矩阵的方差的55.49%，这表明该量表具有适当的程度来提取解释COVID的方差-19 相关的痛苦。拟合指数为卡方 = 862.30 (p < .001)，自由度 = 210 (χ2 = 862.30；df = 210，χ2/df = 4.10)，

结论

COVID-19 相关痛苦量表是一种易于管理、有效且可靠的工具，可用于评估与 COVID-19 相关的痛苦。该工具可以成为一种有用的工具，让我们了解与 COVID-19 相关的痛苦，因此可以防止因大流行而产生的不利长期后果。