Challenges with Amazon Mechanical Turk Research in Accounting

39 Pages Posted: 28 Feb 2017 Last revised: 9 Apr 2018

See all articles by Jeremiah W. Bentley

Jeremiah W. Bentley

Isenberg School of Management, University of Massachusetts Amherst

Date Written: March 30, 2018

Abstract

Online research platforms such as Amazon Mechanical Turk (AMT) are an increasingly popular source of experimental subjects for accounting research. In this paper I discuss five challenges that researchers may encounter when using AMT or other platforms. I also present practical methods for overcoming these challenges. The discussion should be of interest to PhD students and other researchers considering using AMT or other online platforms as a source of experimental participants as well as to reviewers and editors who are considering quality control standards for this new class of research.

Keywords: Amazon Mechanical Turk, MTurk, AMT, Effect Size, Sample Size, Screening

JEL Classification: M40, M41, M42, C18, C90, C91

Suggested Citation

Bentley, Jeremiah W., Challenges with Amazon Mechanical Turk Research in Accounting (March 30, 2018). Available at SSRN: https://ssrn.com/abstract=2924876 or http://dx.doi.org/10.2139/ssrn.2924876

Jeremiah W. Bentley (Contact Author)

Isenberg School of Management, University of Massachusetts Amherst ( email )

Department of Accounting
Amherst, MA 01003
United States

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