For those considering conducting studies on Amazon Mechanical Turk, I'm
making freely available a dynamic demographic filter that reduces sampling
bias by automatically screening potential participants on demographic
criteria before they engage in the study and rejecting those who would
render the participant sample unrepresentative. The filter dynamically
tracks the demographic characteristics of participants who have
successfully completed the study and determines in "real-time" whether each
worker may participate.

Unlike traditional prescreening, researchers pay nothing for rejected
workers, who are warned in advance and advised not to proceed unless they
accept the risk of rejection and nonpayment after completing the short
demographic survey. Experience shows that workers will take the risk in
exchange for an immediate decision on eligibility, and a sufficiently large
payment for participation nonetheless attracts a substantial number. The
filter is freely available to the research community and seamlessly
integrates into Qualtrics with no programming knowledge required (support
for other survey platforms depends on their technical capabilities). For
more details, see http://joshmitts.com/?page_id=17, and feel free to
contact me at [log in to unmask] if you are interested in using the
filter in your study.

--
Joshua Mitts
[log in to unmask]
http://joshmitts.com

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