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在线错误信息易感性量表:编制与初步验证

The Online Misinformation Susceptibility Scale: Development and Initial Validation.

作者信息

Katsiroumpa Aglaia, Moisoglou Ioannis, Mangoulia Polyxeni, Konstantakopoulou Olympia, Gallos Parisis, Tsiachri Maria, Galanis Petros

机构信息

Clinical Epidemiology Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, 11527 Athens, Greece.

Faculty of Nursing, University of Thessaly, 41500 Larissa, Greece.

出版信息

Healthcare (Basel). 2025 Sep 8;13(17):2252. doi: 10.3390/healthcare13172252.

DOI:10.3390/healthcare13172252
PMID:40941604
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12428072/
Abstract

: Although it is known that widespread online misinformation has negative consequences, there is no scale to measure susceptibility to online misinformation. Thus, our aim was to develop and validate a tool for measuring susceptibility to online misinformation: the Online Misinformation Susceptibility Scale (OMISS). : A comprehensive literature review was conducted to generate a preliminary pool of items. Subsequently, a multidisciplinary panel of experts assessed the content validity of these items. To establish face validity, cognitive interviews were performed. Both exploratory and confirmatory factor analyses were performed to verify the underlying construct structure of the OMISS. We examined the concurrent validity of the OMISS by using a fake news detection scale, the Trust in Scientists Scale, a single-item trust in scientists scale, the Conspiracy Mentality Questionnaire, and a single-item conspiracy belief scale. Reliability was rigorously examined using multiple indices, including Cronbach's alpha, McDonald's Omega, Cohen's kappa, and intraclass correlation coefficient. : The psychometric evaluation using both exploratory and confirmatory factor analyses supported a one-factor nine-item model for the OMISS. The OMISS demonstrated strong concurrent validity, evidenced by statistically significant correlations with the five scales mentioned above. Cronbach's alpha and McDonald's Omega were 0.920 and 0.921, respectively. The intraclass correlation coefficient for the OMISS was 0.994. : Our comprehensive psychometric evaluations confirmed the OMISS as a valid tool for measuring online misinformation susceptibility. The OMISS holds promise as an effective tool for identifying susceptibility to misinformation and could support policymakers, health educators, healthcare professionals, and stakeholders in pinpointing high-risk groups.

摘要

虽然人们知道广泛存在的网络错误信息会产生负面影响,但目前尚无衡量对网络错误信息易感性的量表。因此,我们的目标是开发并验证一种测量对网络错误信息易感性的工具:网络错误信息易感性量表(OMISS)。

进行了全面的文献综述以生成初步的条目池。随后,一个多学科专家小组评估了这些条目的内容效度。为了建立表面效度,进行了认知访谈。同时进行了探索性和验证性因素分析,以验证OMISS的潜在结构。我们通过使用假新闻检测量表、对科学家的信任量表、单项目对科学家的信任量表、阴谋心态问卷和单项目阴谋信念量表来检验OMISS的同时效度。使用包括克朗巴哈α系数、麦克唐纳ω系数、科恩κ系数和组内相关系数在内的多个指标严格检验了信度。

探索性和验证性因素分析的心理测量学评估支持了OMISS的单因素九项目模型。OMISS显示出很强的同时效度,与上述五个量表的统计显著相关性证明了这一点。克朗巴哈α系数和麦克唐纳ω系数分别为0.920和0.921。OMISS的组内相关系数为0.994。

我们全面的心理测量学评估证实了OMISS是一种测量对网络错误信息易感性的有效工具。OMISS有望成为识别错误信息易感性的有效工具,并可为政策制定者、健康教育工作者、医疗保健专业人员和利益相关者确定高风险群体提供支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dd5/12428072/b7ddff01d023/healthcare-13-02252-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dd5/12428072/eacbde6bb675/healthcare-13-02252-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dd5/12428072/b7ddff01d023/healthcare-13-02252-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dd5/12428072/eacbde6bb675/healthcare-13-02252-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dd5/12428072/b7ddff01d023/healthcare-13-02252-g002.jpg

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本文引用的文献

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Health Promot Int. 2025 Mar 5;40(2). doi: 10.1093/heapro/daaf023.
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Susceptibility to online misinformation: A systematic meta-analysis of demographic and psychological factors.易受网络错误信息影响的因素:人口统计学和心理学因素的系统元分析。
Proc Natl Acad Sci U S A. 2024 Nov 19;121(47):e2409329121. doi: 10.1073/pnas.2409329121. Epub 2024 Nov 12.
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