CheatSweep™

Fraudulent or unsuitable data, whether caused by cheating or inattention, is a serious liability in online research. Failure to identify low-quality responses in your data set can result in invalid conclusions or costly re-fielding. The ability to weed out low-quality data in real time and replace them in a timely manner protects the integrity of … Continue reading “CheatSweep™”