一项关于物质使用的全国性研究:证明了对最佳实践在线数据收集建议的使用
Andrew P Bontemps1, Bailey E Pridgen2, William P Wagner2
1Department of Psychiatry, University of Colorado Anschutz, Aurora, Colorado, United States of America.
PloS one
|November 10, 2025
概括
在使用最佳实践时,在线数据收集可以快速获得高质量,多样化的样本. 这种方法有效地为研究研究招募参与者,克服了对数据完整性和机器人的担忧.
科学领域:
- 心理学 心理学 心理学
- 公共卫生 公共卫生
- 社会学 社会学 社会学
背景情况:
- 随着COVID-19的流行,在线数据收集在研究中的应用加速了.
- 有关在线研究的数据质量存在担忧,原因是机器人和参与者虚假陈述.
- 最佳实践旨在减轻这些风险,并确保可靠的数据收集.
研究的目的:
- 评估推的在线数据收集策略的有效性.
- 用这些方法评估数据收集的质量,多样性和速度.
- 检查美国参与者对大麻使用和减少伤害干预的看法.
主要方法:
- 利用社交媒体广告来招募参与者.
- 实施的调查人员实施的工具 (冲击页面,注意力检查,实物支付) 和Qualtrics功能 (IP跟踪,CAPTCHA).
- 收集了来自美国15个州的参与者关于大麻使用和减少伤害干预措施 (HRIs) 的数据.
主要成果:
- 收集了3,642个初始响应,产生了大麻调查的639个和清洗后HRI调查的1137个.
- 实现了可用的数据率为60.3% (大麻调查),72.4% (HRI调查) 和72.6% (两项调查).
- 平均每天收集了8.8个清理调查,证明了有效的数据采集.
结论:
- 基于互联网的数据收集,在对残疾参与者使用强大的工具时,提供了一种可行的研究方法.
- 这种方法可以以相对较低的成本获得高质量,多样化的样本.
- 它为传统的数据收集方法提供了有价值的替代方案.
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