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Assessing Psychological Response to the COVID-19: The Fear of COVID-19 Scale and the COVID Stress Scales
[...]item difficulty and individual ability should be separately estimated. [...]Rasch analysis is an appropriate testing method to separately estimate item difficulty and individual ability. Given that the Rasch model converts the ordinal scales into probability (i.e., a ratio scale), the nonlinear...
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Published in: | International journal of mental health and addiction 2021-12, Vol.19 (6), p.2407-2410 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | [...]item difficulty and individual ability should be separately estimated. [...]Rasch analysis is an appropriate testing method to separately estimate item difficulty and individual ability. Given that the Rasch model converts the ordinal scales into probability (i.e., a ratio scale), the nonlinear relationship between item scores and factor scores can be resolved (Chang et al. 2015). [...]we asserted in our original validation study that future studies should further examine the psychometric properties of the FCV-19S to provide additional scientific rigor and cumulative evidence is needed for every newly developed psychometric instrument (Lin et al. 2019). Since the initial publication of the FCV-19S, the instrument has been validated in different language versions using various types of psychometric testing, including confirmatory factor analysis, Rasch analysis, concurrent validity testing, internal consistency, and test-retest reliability (Ahorsu et al. 2020; Sakib et al. 2020; Satici et al. 2020; Soraci et al. 2020). [...]the CSS may provide comprehensive information regarding stress and anxiety of an individual because of its multidimensional structure. [...]the FCV-19S has the advantage of different language versions, including English (Harper et al. 2020), Persian (Ahorsu et al. 2020), Bangla (Sakib et al. 2020), Italian (Soraci et al. 2020), Hebrew (Bitan et al. 2020), Arabic (Alyami et al. 2020), Russian (Reznik et al. 2020), and Turkish (Satici et al. 2020), and already has the potential to be used for country comparisons. |
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ISSN: | 1557-1874 1557-1882 1557-1882 |
DOI: | 10.1007/s11469-020-00334-9 |