Rasch modeling and multilevel confirmatory factor analysis for the usability of the impact of event scale-revised (IES-R) during the Covid-19 pandemic
Several instruments are currently used to assess Coronavirus Disease 2019 (COVID-19) -induced psychological distress, including the 22-item Impact of Event Scale-Revised (IES-R). The IES-R is a self-administered scale used to assess post-traumatic stress disorder (PTSD). The current study aimed to e...
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my.um.eprints.408312023-09-27T02:32:15Z http://eprints.um.edu.my/40831/ Rasch modeling and multilevel confirmatory factor analysis for the usability of the impact of event scale-revised (IES-R) during the Covid-19 pandemic Aljaberi, Musheer A. Lee, Kuo-Hsin Alareqe, Naser A. Qasem, Mousa Abdullah Alsalahi, Abdulsamad Abdallah, Atiyeh M. Noman, Sarah Al-Tammemi, Ala'a B. Ibrahim, Mohamed Izham Mohamed Lin, Chung-Ying R Medicine Several instruments are currently used to assess Coronavirus Disease 2019 (COVID-19) -induced psychological distress, including the 22-item Impact of Event Scale-Revised (IES-R). The IES-R is a self-administered scale used to assess post-traumatic stress disorder (PTSD). The current study aimed to examine the construct validity of the IES-R, based on the Rasch model, with COVID-19-related data, as well as to test the multilevel construct validity of the IES-R within and among countries during the pandemic crisis. Methods: A multi-country web-based cross-sectional survey was conducted utilizing the 22-item IES-R. A total of 1020 participants enrolled in our survey, of whom 999 were included in the analyses. Data were analyzed using Rasch modeling and multilevel confirmatory factor analysis (MCFA). Results: The Rasch modeling results of the IES-R demonstrated that the IES-R is a satisfactory instrument with the five-point Likert scale, asserting that its 22 items are significant contributors to assessing PTSD as a unidimensional construct covered by the items of the IES-R. The MCFA confirmed that the 22-item IES-R, with its three factors, including intrusion, avoidance, and hyperarousal, demonstrates adequate construct validity at the within- and among-country levels. However, the results of the Akaike information criterion (AIC) model determined that the 16-item IES-R is better than the 22-item IES-R. Conclusion: The results suggested that the 22-item IES-R is a reliable screening instrument for measuring PTSD related to the COVID-19 pandemic, and can be utilized to provide timely psychological health support, when needed, based on the screening results. MDPI 2022-10 Article PeerReviewed Aljaberi, Musheer A. and Lee, Kuo-Hsin and Alareqe, Naser A. and Qasem, Mousa Abdullah and Alsalahi, Abdulsamad and Abdallah, Atiyeh M. and Noman, Sarah and Al-Tammemi, Ala'a B. and Ibrahim, Mohamed Izham Mohamed and Lin, Chung-Ying (2022) Rasch modeling and multilevel confirmatory factor analysis for the usability of the impact of event scale-revised (IES-R) during the Covid-19 pandemic. Healthcare, 10 (10). ISSN 2227-9032, DOI https://doi.org/10.3390/healthcare10101858 <https://doi.org/10.3390/healthcare10101858>. 10.3390/healthcare10101858 |
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R Medicine Aljaberi, Musheer A. Lee, Kuo-Hsin Alareqe, Naser A. Qasem, Mousa Abdullah Alsalahi, Abdulsamad Abdallah, Atiyeh M. Noman, Sarah Al-Tammemi, Ala'a B. Ibrahim, Mohamed Izham Mohamed Lin, Chung-Ying Rasch modeling and multilevel confirmatory factor analysis for the usability of the impact of event scale-revised (IES-R) during the Covid-19 pandemic |
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Several instruments are currently used to assess Coronavirus Disease 2019 (COVID-19) -induced psychological distress, including the 22-item Impact of Event Scale-Revised (IES-R). The IES-R is a self-administered scale used to assess post-traumatic stress disorder (PTSD). The current study aimed to examine the construct validity of the IES-R, based on the Rasch model, with COVID-19-related data, as well as to test the multilevel construct validity of the IES-R within and among countries during the pandemic crisis. Methods: A multi-country web-based cross-sectional survey was conducted utilizing the 22-item IES-R. A total of 1020 participants enrolled in our survey, of whom 999 were included in the analyses. Data were analyzed using Rasch modeling and multilevel confirmatory factor analysis (MCFA). Results: The Rasch modeling results of the IES-R demonstrated that the IES-R is a satisfactory instrument with the five-point Likert scale, asserting that its 22 items are significant contributors to assessing PTSD as a unidimensional construct covered by the items of the IES-R. The MCFA confirmed that the 22-item IES-R, with its three factors, including intrusion, avoidance, and hyperarousal, demonstrates adequate construct validity at the within- and among-country levels. However, the results of the Akaike information criterion (AIC) model determined that the 16-item IES-R is better than the 22-item IES-R. Conclusion: The results suggested that the 22-item IES-R is a reliable screening instrument for measuring PTSD related to the COVID-19 pandemic, and can be utilized to provide timely psychological health support, when needed, based on the screening results. |
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Article |
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Aljaberi, Musheer A. Lee, Kuo-Hsin Alareqe, Naser A. Qasem, Mousa Abdullah Alsalahi, Abdulsamad Abdallah, Atiyeh M. Noman, Sarah Al-Tammemi, Ala'a B. Ibrahim, Mohamed Izham Mohamed Lin, Chung-Ying |
author_facet |
Aljaberi, Musheer A. Lee, Kuo-Hsin Alareqe, Naser A. Qasem, Mousa Abdullah Alsalahi, Abdulsamad Abdallah, Atiyeh M. Noman, Sarah Al-Tammemi, Ala'a B. Ibrahim, Mohamed Izham Mohamed Lin, Chung-Ying |
author_sort |
Aljaberi, Musheer A. |
title |
Rasch modeling and multilevel confirmatory factor analysis for the usability of the impact of event scale-revised (IES-R) during the Covid-19 pandemic |
title_short |
Rasch modeling and multilevel confirmatory factor analysis for the usability of the impact of event scale-revised (IES-R) during the Covid-19 pandemic |
title_full |
Rasch modeling and multilevel confirmatory factor analysis for the usability of the impact of event scale-revised (IES-R) during the Covid-19 pandemic |
title_fullStr |
Rasch modeling and multilevel confirmatory factor analysis for the usability of the impact of event scale-revised (IES-R) during the Covid-19 pandemic |
title_full_unstemmed |
Rasch modeling and multilevel confirmatory factor analysis for the usability of the impact of event scale-revised (IES-R) during the Covid-19 pandemic |
title_sort |
rasch modeling and multilevel confirmatory factor analysis for the usability of the impact of event scale-revised (ies-r) during the covid-19 pandemic |
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MDPI |
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2022 |
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http://eprints.um.edu.my/40831/ |
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1781704531033194496 |
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