Link To TurkPrime

How to run successful experiments and get the most out of Amazon's Mechanical Turk

Monday, June 29, 2015

Our Micro-batching Feature will Improve the Quality of Your Data


We have deployed a micro-batching feature which allows Requesters to break up their studies into smaller segments, and to include time intervals between the segments. We developed this feature to increase sample representation. This feature can also save 50% in MTurk fees.

The Problem

Here is why this feature is important for data quality. If a Requester launches a study on Monday afternoon, there may be a bias in the sample toward people who are not working on a weekday (unemployed, stay at home parents etc.) 

Monday, June 8, 2015

Bounce and Completion Rate

In the latest release of we added many new features and fixes among them 2 additional metrics for every survey:

  • Bounce Rate
  • Completion Rate

The Bounce Rate is the percentage of Amazon workers who previewed your survey but decided not to accept it. An open question is whether and how this self-selection of participants affects the representativeness of the participant pool. In addition, a high bounce rate may be an indicator that there is something wrong with your survey