Adaptation and psychometric evaluation of the COVID-19 stress scales in Turkish sample

IF 0.8 Q3 EDUCATION & EDUCATIONAL RESEARCH International Journal of Assessment Tools in Education Pub Date : 2022-09-01 DOI:10.21449/ijate.1067542
M. Şahin, S. Şen, Deniz Güler
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引用次数: 1

Abstract

This study aimed to adapt the COVID-19 Stress Scales (CSS) into Turkish and provide evidence for construct validity. For this purpose, firstly, Confirmatory factor analysis (CFA) was applied for the 5-factor model obtained during the development of CSS and the theoretically expected 6-factor model with total of 546 respondents. The findings revealed that the 6-factor model of CSS had a better fit in the Turkish sample. Factor loadings varied between .62 - .95 and correlations between subscales were between .44 - .76. Cronbach's Alpha and McDonald’s ω coefficients for each subscale indicated good-to-excellent internal consistency. To evaluate the criterion-related validity, the Turkish version of The Fear of COVID-19 Scale (FCV-19S) was administered to the participants and the correlation coefficients between this scale and the six subscale of CSS were calculated. We also conducted the Rasch analysis with related items to provide psychometric evidence for their unidimensional structure of each of the six subscales. Lastly, Differential item functioning (DIF) analysis was performed across subgroups by gender, having COVID-19, and being a student. Overall, the results of both CFA and Rasch analyses provided evidence to support the substantive aspect of validity and the appropriateness of the CSS as a measure of COVID-19 stress level in a Turkish sample.
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土耳其样本COVID-19应激量表的适应性和心理测量学评价
本研究旨在将COVID-19压力量表(CSS)改编为土耳其语,并为结构效度提供证据。为此,首先对CSS开发过程中获得的5因素模型和理论预期的6因素模型进行验证性因子分析(Confirmatory factor analysis, CFA),共有546名受访者。结果表明,CSS的6因素模型在土耳其样本中具有更好的拟合性。因子负荷在0.62 - 0.95之间变化,子量表之间的相关性在0.44 - 0.76之间。每个子量表的Cronbach's Alpha和McDonald 's ω系数表明内部一致性良好至优异。为了评估标准相关效度,对参与者使用土耳其版新冠病毒恐惧量表(FCV-19S),并计算该量表与CSS六个子量表之间的相关系数。我们还对相关项目进行了Rasch分析,为六个分量表的单维结构提供了心理测量学证据。最后,按性别、是否患有COVID-19和是否为学生进行了不同项目功能(DIF)分析。总体而言,CFA和Rasch分析的结果都提供了证据,支持CSS作为衡量土耳其样本中COVID-19压力水平的有效性和适当性的实质性方面。
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来源期刊
International Journal of Assessment Tools in Education
International Journal of Assessment Tools in Education EDUCATION & EDUCATIONAL RESEARCH-
自引率
11.10%
发文量
40
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