Crowdsourcing Intelligent Research Participants: A Student versus MTurk Comparison

Author:

Buchheit Steve1ORCID,Dalton Derek W.2,Pollard Troy J.1,Stinson Shane R.1ORCID

Affiliation:

1. The University of Alabama

2. Clemson University

Abstract

ABSTRACT 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.

Publisher

American Accounting Association

Subject

Organizational Behavior and Human Resource Management,Accounting

Reference54 articles.

1. Conducting interactive experiments online;Arechar;Experimental Economics,2018

2. Students as surrogates in behavioral accounting research: Some evidence;Ashton;Journal of Accounting Research,1980

3. The neuroscience behind the stock market's reaction to corporate earnings news;Barton;The Accounting Review,2014

4. Cognitive abilities and behavior in strategic-form games;Bayer,2011

5. Evaluating online labor markets for experimental research: Amazon.com's Mechanical Turk;Berinsky;Political Analysis,2012

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3