Last month, we published a blog titled, “Five Things you Should Not be Doing in Online Data Collection.” Among the things we identified that you should not be doing was launching your study without piloting it first. As a way to reiterate how important we think this issue is, we describe in this blog how to easily conduct a pilot study using TurkPrime.
Three weeks ago, we published a blog explaining five things you should be doing in your online data collection. In this blog, we follow up with five things you should NOT be doing when collecting data on MTurk.
Researchers are responsible for being an expert, or at least knowledgeable, in several areas. There’s the topic of your research, the methods common within your discipline, best practices for open science, and the mediums used to communicate about your work—just to name a few. For many researchers, online data collection has been revolutionary, helping collect data faster and more affordably than ever before. Yet, with the emergence of online research there is now one more domain to be an expert in. Given the steep learning curve for really learning how to best run online studies, we put together this blog to highlight five practices that if you’re not already doing in your online research, you should be. These practices primarily apply to online research on Amazon’s Mechanical Turk when using TurkPrime’s MTurk Toolkit, but some practices can be applied to other platforms as well.