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管理和最小化在线调查问卷欺诈:来自三重C项目的经验教训。

Managing and Minimizing Online Survey Questionnaire Fraud: Lessons from the Triple C Project.

作者信息

Nur Aasli Abdi, Leibbrand Christine, Curran Sara R, Votruba-Drzal Elizabeth, Gibson-Davis Christina

机构信息

Department of Sociology, University of Washington, Seattle, USA.

Office of Planning and Budgeting, University of Washington, USA.

出版信息

Int J Soc Res Methodol. 2024;27(5):613-619. doi: 10.1080/13645579.2023.2229651. Epub 2023 Jul 3.

DOI:10.1080/13645579.2023.2229651
PMID:39494158
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11529704/
Abstract

With the increasing sophistication of online survey tools and the necessity of distanced research during the COVID-19 pandemic, the use of online questionnaires for research purposes has proliferated. Still, many researchers undertake online survey research without knowledge of the prevalence and likelihood of experiencing survey questionnaire fraud nor familiarity with measures used to identify fraud once it has occurred. This research note is based on the experience of researchers across four sites who implemented an online survey of families' experiences with COVID-19 in the U.S. that was subject to substantial fraud. By the end of data collection, over 70% of responses were flagged as fraudulent with duplicate IP addresses and concurrent start/end times representing the most common indicators of fraud observed. We offer lessons learned to illustrate the sophisticated nature of fraud in online research and the importance of multi-pronged strategies to detect and limit online survey questionnaire fraud.

摘要

随着在线调查工具日益复杂,以及在新冠疫情期间进行远程研究的必要性,用于研究目的的在线问卷的使用激增。然而,许多研究人员在进行在线调查研究时,并不了解调查问卷欺诈的发生率和可能性,也不熟悉欺诈发生后用于识别欺诈的措施。本研究报告基于四个地点的研究人员的经验,他们在美国实施了一项关于家庭新冠疫情经历的在线调查,该调查遭受了大量欺诈。到数据收集结束时,超过70%的回复因重复IP地址和同时开始/结束时间而被标记为欺诈,这是观察到的最常见的欺诈指标。我们提供了经验教训,以说明在线研究中欺诈的复杂性,以及多管齐下的策略在检测和限制在线调查问卷欺诈方面的重要性。

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J Med Internet Res. 2020 Oct 7;22(10):e23021. doi: 10.2196/23021.
2
Mischief-making bots attacked my scientific survey.捣乱机器人攻击了我的科学调查。
Nature. 2020 Mar;579(7799):461. doi: 10.1038/d41586-020-00768-0.
3
Fraud Detection Protocol for Web-Based Research Among Men Who Have Sex With Men: Development and Descriptive Evaluation.男男性行为者基于网络研究的欺诈检测协议:制定与描述性评估。
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4
Addressing Participant Validity in a Small Internet Health Survey (The Restore Study): Protocol and Recommendations for Survey Response Validation.解决小型互联网健康调查中的参与者有效性问题(恢复研究):调查回复验证的方案与建议
JMIR Res Protoc. 2018 Apr 24;7(4):e96. doi: 10.2196/resprot.7655.
5
Methods to detect low quality data and its implication for psychological research.检测低质量数据的方法及其对心理学研究的影响。
Behav Res Methods. 2018 Dec;50(6):2586-2596. doi: 10.3758/s13428-018-1035-6.
6
Detecting, preventing, and responding to "fraudsters" in internet research: ethics and tradeoffs.在网络研究中检测、预防和应对“欺诈者”:伦理与权衡
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