Wednesday, October 27
12:00-12:30 PM
EDT
ROOM 2

Decentralized MTurk research during the 2020-2021 pandemic: A means for students and emerging faculty to pilot novel studies, and learn research best practices

Live Paper Presentation ID: 59317
  1. aaa
    Patience S. Wieland
    University of North Texas
  2. aaa
    Aleshia Hayes
    University of North Texas

Abstract: The 2020-2021 pandemic has created challenges for collecting data and recruiting participants, especially among emerging researchers. Amazon's Mechanical Turk (MTurk) platform is a low-cost solution for recruiting decentralized participants. The required learning curve for developing a pilot MTurk study, which includes developing an awareness of validation pitfalls, worker motivations and misrepresentation issues, has benefits beyond microworking platforms. Iterative design of a strong MTurk study also educates early career researchers. Lessons learned from MTurk can be applied to recruiting larger participant samples on social media and question and answer sites.

No presider for this session.

Topic

Conference attendees are able to comment on papers, view the full text and slides, and attend live presentations. If you are an attendee, please login to get full access.
x