Crowdsourcing Intelligent Research Participants: A Student versus MTurk Comparison

BEHAVIORAL RESEARCH IN ACCOUNTING(2019)

引用 21|浏览8
暂无评分
摘要
The use of online workers as research participants has grown in recent years, prompting interest in how online workers compare to traditional accounting research participants. To date, no study has compared the relative intelligence of online workers to student subjects. Such a comparison may be important to behavioral accounting researchers given the homogeneity of accounting students relative to online subject pools and given prior research suggesting accounting students have relatively high analytic ability. While graduate students outperform both undergraduate and MTurk participants on common intelligence tests and across two reasonably complex tasks, we find that MTurk participants perform similarly to undergraduate accounting students. Overall, our results provide incremental assurance that MTurk participants are suitable subjects when accounting expertise is not explicitly required. We also provide evidence that screening MTurk workers on intelligence scores may benefit researchers who require participants with relatively high cognitive ability.
更多
查看译文
关键词
Mechanical Turk,participant screening,online labor markets,crowdsourcing,fluid intellingence,Raven Progressive Matrices
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要