The pandemic of online research in times of COVID-19.

The pandemic of online research in times of COVID-19.
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DOI:
10.1136/bmjopen-2020-043866
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发表时间:
2021-02-23
期刊:
影响因子:
2.9
通讯作者:
Wouters E
Wouters E
中科院分区:
医学3区
文献类型:
--
作者:
De Man J;Campbell L;Tabana H;Wouters E

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新冠肺炎疫情导致使用评分表的在线研究呈爆炸式增长。虽然这种方法可能是有用的,但影响这类研究质量的两个主要挑战包括选择偏见和使用未经验证的量表。在线研究容易出现各种形式的选择偏差,包括自我选择偏差、无反应偏差或只针对特定的亚群。使用评分表需要经过情境验证的量表满足心理测量学属性,如效度、可靠性和--对于跨国比较--在不同环境下的不变性。我们讨论了预防或应对这些挑战的各种选择。研究人员、读者、编辑和审查者需要对使用这种方法进行的研究持批评态度。
The COVID-19 pandemic has led to an explosion of online research using rating scales. While this approach can be useful, two of the major challenges affecting the quality of this type of research include selection bias and the use of non-validated scales. Online research is prone to various forms of selection bias, including self-selection bias, non-response bias or only reaching specific subgroups. The use of rating scales requires contextually validated scales that meet psychometrical properties such as validity, reliability and—for cross-country comparisons—invariance across settings. We discuss options to prevent or tackle these challenges. Researchers, readers, editors and reviewers need to take a critical stance towards research using this type of methodology.
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