Practice-based considerations for using multi-stage survey design to reach special populations on Amazon’s Mechanical Turk

Victoria Anne Springer, Peter J. Martini, Samuel C. Lindsey, I. Stephanie Vezich

Abstract


The purpose of this article is to provide practice-based insight into the use of Amazon’s Mechanical Turk (MTurk) online crowdsourced labor market to conduct survey research with targeted or “special” populations. We begin with an overview of MTurk, followed by a review of the use of MTurk in the social sciences, the multi-stage survey technique that has been implemented in our research, and the considerations that have informed our methodological choices. This article is based on the successful use of this approach in our work since January 2013 in both academic and applied research.


Keywords


MTurk, Mechanical Turk, survey, research, hidden population, screening

Full Text: PDF HTML

About Survey Practice Our Global Partners Disclaimer
The Survey Practice content may not be distributed, used, adapted, reproduced, translated or copied for any commercial purpose in any form without prior permission of the publisher. Any use of this e-journal in whole or in part, must include the customary bibliographic citation and its URL.