在线调查研究的在线招聘:我们处理欺诈者的经验
1School of Nursing, University of Minnesota Twin Cities, United States of America.
Applied nursing research : ANR
|December 1, 2024
概括
在线招聘是有效的,但容易受到欺诈. 这项研究发现了Facebook群组招聘中的高欺诈率 (82.69%),强调了在线研究中需要强大的数据选协议的需要.
科学领域:
- 临床研究方法 临床研究方法
- 在线数据收集在线数据收集
- 招募参与者 招募参与者
背景情况:
- 在线招聘提供了成本效益和广泛的覆盖范围,特别是对于敏感的话题.
- 挑战包括欺诈性回复,丢失数据和重复输入,使数据分析复杂化.
- 这篇简报详细介绍了在线研究中管理欺诈参与者的策略.
研究的目的:
- 描述在线研究招聘中处理欺诈者的方法.
- 报告不同在线招聘策略的有效性.
- 突出在线研究数据完整性的重要性.
主要方法:
- 我们比较了三个在线招聘方法:网站,Facebook广告和Facebook组.
- 采用IP检查,答案一致性检查,名称验证和时间分析等策略来检测欺诈行为.
- 进行了跨部门的调查研究,以评估招聘的有效性.
主要成果:
- 欺诈性回复率有很大的差异:11.11% (网站),4.55% (Facebook广告) 和82.69% (Facebook群组).
- 特定的检测方法成功地识别了假回复.
- 脸书集团招聘显示,欺诈活动的比率明显更高.
结论:
- 欺诈性数据损害了研究的有效性和可靠性.
- 实施强大的参与者招募和数据选协议对于严格的在线研究至关重要.
- 仔细选择在线招聘平台对于减轻数据完整性风险至关重要.
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