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Table_1_COVID-19 Knowledge Test: An Assessment Tool for Health Educators During the COVID-19 Pandemic.xlsx

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NIAID Data Ecosystem2026-03-12 收录
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https://figshare.com/articles/dataset/Table_1_COVID-19_Knowledge_Test_An_Assessment_Tool_for_Health_Educators_During_the_COVID-19_Pandemic_xlsx/13193063
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Background: As of August 11, 2020, Coronavirus disease 2019 (COVID-19) has infected 19,936,210 persons and led to 732,499 deaths worldwide. The impact has been immense, and with no vaccine currently available, the best way to protect our communities is health education. We developed a brief COVID-19 knowledge test for health educators that can be used to assess deficits in clients' understanding of the disease. Methods: COVID-19 Knowledge Test items were developed by the research team and administered to participants. An alternate-choice item format was selected for the knowledge test, and data analysis was based on an American sample of 273 respondents. A detailed analysis of the data was conducted with classical test theory and Rasch analysis. Findings: The final instrument was found to be a unidimensional measure of COVID-19 knowledge. Results provided evidence for absolute model fit and model fit for individual items. All items included on the scale were monotonically increasing and split-half reliability was considered acceptable. Total test information revealed that the test is suitable for individuals with low to average knowledge of COVID-19. Interpretation: Rasch analysis provides support for the COVID-19 Knowledge Test to be used as an assessment tool for health educators. The final version of the test consists of 34 high-quality test items that can be administered in <10 min. Normative data and suggested cutoff scores are also provided.

背景:截至2020年8月11日,新型冠状病毒肺炎(Coronavirus disease 2019, COVID-19)已在全球造成19936210人感染、732499人死亡。此次疫情影响波及范围极广,且彼时尚无可用疫苗,因此保护公众健康的最优途径便是开展健康教育。本研究团队开发了一款面向健康教育工作者的简短COVID-19知识测试问卷,可用于评估受众对该疾病的认知缺陷。 研究方法:本研究团队自主研发了COVID-19知识测试题目,并对受试者进行施测。该知识测试采用二选一题型的出题格式,数据分析基于美国273名受访者的样本数据。研究采用经典测验理论(Classical Test Theory)与拉希分析(Rasch analysis)对数据展开了细致深入的分析。 研究结果:最终编制的问卷工具为单维度的COVID-19知识水平测量工具。结果验证了模型整体绝对拟合度与各题项的模型拟合度。量表包含的所有题项均呈单调递增趋势,分半信度处于可接受水平。测验总信息分析结果显示,该测试适用于COVID-19知识水平处于低等到中等的人群。 研究解读:拉希分析(Rasch analysis)证实本COVID-19知识测试可作为健康教育工作者的评估工具。最终版测试共包含34道高质量题目,施测时长可控制在10分钟以内。本研究同时提供了常模数据与建议分界分数。
创建时间:
2020-11-05
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