Using Amazon's Mechanical Turk to reach a wider LGBTQ+ participant pool /

This case study describes how I used Amazon's Mechanical Turk as a participant pool when searching for representative sample in LGBTQ+ research. The focus of this case study is on the methodological practice of using crowdsourcing sites, such as Mechanical Turk to gather a larger, more represen...

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Bibliographic Details
Main Author:	Waggoner, Erin B., 1983- (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications, Ltd., 2022.
Series:	SAGE research methods: doing research online.
Subjects:	Computer network resources > Case studies. Internet research > Case studies. Information électronique > Études de cas. Internet dans la recherche > Études de cas. Computer network resources. Internet research. Case studies.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This case study describes how I used Amazon's Mechanical Turk as a participant pool when searching for representative sample in LGBTQ+ research. The focus of this case study is on the methodological practice of using crowdsourcing sites, such as Mechanical Turk to gather a larger, more representative LGBTQ+ sample size. Specifically, through my research experiences, I present the advantages, challenges, and implications of using Mechanical Turk to gain a larger LGBTQ+ participant pool with a quicker turnaround. Finally, I provide recommendations on how to use screening tools and the specific Mechanical Turk elements in your own future LGBTQ+ research.
Physical Description:	1 online resource.
ISBN:	9781529604047 1529604044