Abstract

 


 



Selectively Recruiting Participants from Amazon Mechanical Turk Using Qualtrics


Eyal Pe'er


Carnegie Mellon University - H. John Heinz III School of Public Policy and Management

Gabriele Paolacci


Erasmus University - Rotterdam School of Management

Jesse Chandler


Princeton University - Woodrow Wilson School of Public and International Affairs

Pam Mueller


Princeton University - Department of Psychology

May 2, 2012


Abstract:     
Duplicate respondents across related experiments are a substantial problem for conducting programmatic research on AMT. In this tutorial, we provide a straightforward alternative that allows researchers who use Qualtrics to exclude workers who participated in a previous study. This approach allows researchers to exclude workers who have completed any HIT before, without having to use AMT’s Command Line Tools.

Number of Pages in PDF File: 6

Keywords: Mechanical Turk, Qualtrics, Research Methods

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Date posted: July 5, 2012 ; Last revised: November 12, 2012

Suggested Citation

Pe'er, Eyal, Paolacci, Gabriele, Chandler, Jesse and Mueller, Pam, Selectively Recruiting Participants from Amazon Mechanical Turk Using Qualtrics (May 2, 2012). Available at SSRN: http://ssrn.com/abstract=2100631 or http://dx.doi.org/10.2139/ssrn.2100631

Contact Information

Eyal Pe'er (Contact Author)
Carnegie Mellon University - H. John Heinz III School of Public Policy and Management ( email )
Pittsburgh, PA 15213-3890
United States
Gabriele Paolacci
Erasmus University - Rotterdam School of Management ( email )
3000 DR Rotterdam
Netherlands
Jesse Chandler
Princeton University - Woodrow Wilson School of Public and International Affairs ( email )
Princeton University
Princeton, NJ 08544-1021
United States
Pam Mueller
Princeton University - Department of Psychology ( email )
Green Hall
Princeton, NJ 08540
United States
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