It is important to consider how many highly experienced workers there are on Mechanical Turk. As discussed in previous posts, there is a population pool of active workers in the thousands, but this is far from exhaustible. A small group of workers take a very large number of HITs posted to MTurk, and these workers are very experienced and have seen measures commonly used in the social and behavioral sciences. Research has shown that when participants are repeatedly exposed to the same measures, this can have negative effects on data collection, changing the way workers perform, creating treatment effects, giving participants insight into the purpose of some studies, and in some cases impact effect sizes of experimental manipulations. This issue is referred to as non-naivete (Chandler, 2014; Chandler, 2016).
How can a Requester who rejected an assignment in error undo his mistake? A rejected assignment affects the Worker negatively and will often impact the Requester with negative feedback which can damage the Requester's online reputation which lowers Worker participation in future HITs. What can a Requester do to reverse the rejection?
MTurk Requesters are often interested in studying specific groups of people. For example, a researcher may be interested in men over 40, Republicans, people who are concerned about the cleanliness of sponges, or cancer survivors. TurkPrime Panels utilizes various techniques that make the process of acquiring specific MTurk samples faster and cheaper. We virtually guarantee to be able to get panels more economically than most Requesters are able to do on their own. Additionally, we can get the panels a lot faster, and eliminate the considerable amount of manual work that is required to obtain panels.