With contributions by Teresa Kline

While Mechanical Turk (“MTurk”) offers definite benefits to researchers over traditional respondent platforms—it’s a significantly faster and less expensive data-collection method—there are some concerns about data collected via MTurk. In this last installment of our series, we’ll explore three main issues:  

• Respondent “non-naivete” 
• Representativeness and selection bias  
• Response quality  
  

With contributions by Teresa Kline

In this post, we’ll look at some examples of how Mechanical Turk (“MTurk”) has been used in academia and litigation. In the academic realm, MTurk has often been used for surveys, psychological experiments, and behavioral experiments.

With contributions by Teresa Kline

In this three-part series, we’ll explore Amazon’s Mechanical Turk (“MTurk”) and its use for researchers. In the first installment, we’ll cover what MTurk is and how it works. Next week, we’ll look into specific examples of how MTurk has been used in academia and in litigation. Finally, we’ll wrap up with a discussion of the potential concerns with data collection via MTurk and how to mitigate these issues so they don’t negatively influence the data.