Validity testing of the conspiratorial thinking and anti-expert sentiment scales during the COVID-19 pandemic across 24 languages from a large-scale global dataset
Validity testing of the conspiratorial thinking and anti-expert sentiment scales during the COVID-19 pandemic across 24 languages from a large-scale global dataset
In this study, we tested the validity across two scales addressing conspiratorial thinking that may influence behaviours related to public health and the COVID-19 pandemic. Using the COVIDiSTRESSII Global Survey data from 12 261 participants, we validated the 4-item Conspiratorial Thinking Scale and 3-item Anti-Expert Sentiment Scale across 24 languages and dialects that were used by at least 100 participants per language. We employed confirmatory factor analysis, measurement invariance test and measurement alignment for internal consistency testing. To test convergent validity of the two scales, we assessed correlations with trust in seven agents related to government, science and public health. Although scalar invariance was not achieved when measurement invariance test was conducted initially, we found that both scales can be employed in further international studies with measurement alignment. Moreover, both conspiratorial thinking and anti-expert sentiments were significantly and negatively correlated with trust in all agents. Findings from this study provide supporting evidence for the validity of both scales across 24 languages for future large-scale international research.
Han, Hyemin
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Blackburn, Angelique M.
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Jeftic, Alma
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Tran, Thao Phuong
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Stoeckli, Sabrina
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Reifler, Jason
426301a1-f90b-470d-a076-04a9d716c491
Sara Vestergren,
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2022
Han, Hyemin
adcc09d5-2e43-4091-a721-7675ae7cdf45
Blackburn, Angelique M.
88b238e1-d519-44ba-9e51-664e295afcb8
Jeftic, Alma
fa56bb14-2c08-4376-9129-5be57c3c5bff
Tran, Thao Phuong
a62a16c4-24f7-453f-915e-5ac4f536728d
Stoeckli, Sabrina
2294962f-95da-4f25-b759-549bc51b2775
Reifler, Jason
426301a1-f90b-470d-a076-04a9d716c491
Sara Vestergren,
a310f888-38ef-46f0-92d1-f067c1a7a990
Han, Hyemin, Blackburn, Angelique M., Jeftic, Alma, Tran, Thao Phuong, Stoeckli, Sabrina, Reifler, Jason and Sara Vestergren,
(2022)
Validity testing of the conspiratorial thinking and anti-expert sentiment scales during the COVID-19 pandemic across 24 languages from a large-scale global dataset.
Epidemiology and Infection, 150, [e167].
(doi:10.31234/osf.io/q3rkj).
Abstract
In this study, we tested the validity across two scales addressing conspiratorial thinking that may influence behaviours related to public health and the COVID-19 pandemic. Using the COVIDiSTRESSII Global Survey data from 12 261 participants, we validated the 4-item Conspiratorial Thinking Scale and 3-item Anti-Expert Sentiment Scale across 24 languages and dialects that were used by at least 100 participants per language. We employed confirmatory factor analysis, measurement invariance test and measurement alignment for internal consistency testing. To test convergent validity of the two scales, we assessed correlations with trust in seven agents related to government, science and public health. Although scalar invariance was not achieved when measurement invariance test was conducted initially, we found that both scales can be employed in further international studies with measurement alignment. Moreover, both conspiratorial thinking and anti-expert sentiments were significantly and negatively correlated with trust in all agents. Findings from this study provide supporting evidence for the validity of both scales across 24 languages for future large-scale international research.
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validity-testing-of-the-conspiratorial-thinking-and-anti-expert-sentiment-scales-during-the-covid-19-pandemic-across-24-languages-from-a-large-scale-global-dataset
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In preparation date: 4 December 2021
Accepted/In Press date: 2 September 2022
e-pub ahead of print date: 12 September 2022
Published date: 2022
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Local EPrints ID: 497974
URI: http://eprints.soton.ac.uk/id/eprint/497974
ISSN: 0950-2688
PURE UUID: 9e14f8e4-67bb-42e1-ba2d-36f6fafd32dd
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Date deposited: 05 Feb 2025 17:51
Last modified: 22 Aug 2025 02:43
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Contributors
Author:
Hyemin Han
Author:
Angelique M. Blackburn
Author:
Alma Jeftic
Author:
Thao Phuong Tran
Author:
Sabrina Stoeckli
Author:
Jason Reifler
Author:
Sara Vestergren
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