评估基于移动的数据收集,用于众包行为研究
Dennis T Esch1, Nikolaos Mylonopoulos2, Vasilis Theoharakis3
1Cranfield School of Management, Cranfield University, College Road, Cranfield, Bedfordshire, MK43 0AL, UK. dennis.esch@cranfield.ac.uk.
Behavior research methods
|February 28, 2025
概括
移动设备适合在线研究,基于移动的响应显示的数据质量与基于计算机的数据质量相当. 然而,平台选择和受访者因素在众包中显著影响数据的关注度和质量.
科学领域:
- 行为研究是行为研究.
- 人与计算机的互动.
- 调查方法调查方法.
背景情况:
- 在线众包平台 (例如,MTurk,Prolific) 广泛使用,但主要招募基于计算机的参与者.
- 这可能会使移动首要用户被排除在外,并引发了因收入驱动的响应而对数据质量的担忧.
研究的目的:
- 将不同众包平台的数据质量进行比较,包括移动优先选项.
- 调查影响在线研究数据关注度和质量的因素.
主要方法:
- 从使用相同研究的亚马逊机械土耳其 (MTurk),Prolific,Pollfish和Qualtrics观众小组收集了数据.
- 构建了一个注意力复合得分,以评估跨平台和设备类型 (移动与计算机) 的响应质量.
主要成果:
- 来自Pollfish和Qualtrics的基于移动的响应在质量上与来自MTurk和Prolific的基于计算机的响应相当.
- 关注度的平台差异是显著的,受激励,先前的活动,分心和最近的研究完成的影响.
- 系统1思维与较低的注意力相关,介导设备使用和注意力.
结论:
- 移动设备可用于众包行为研究,挑战先前的假设.
- 平台选择和了解受访者特定因素对于确保在线研究中提供高质量的数据至关重要.
- 标准的注意力检查可能无法充分识别像MTurk这样的平台上的低质量响应.
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