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Respondent Matching: The Right Respondent for the Right Study
When online survey companies remove respondents from their studies, it’s treated as an open-and-shut case, no questions asked. The industry believes there are good respondents and bad ones, and the overriding goal is to keep the bad ones out. The model is built...
Beyond Fraud: How Behavioral Segmentation Changes What You Know About Your Data
Fraud detection and data quality are not the same thing. While many researchers and audience providers treat them as synonymous, the terms refer to different questions. Fraud detection asks whether a participant is real and acting in good faith, while data quality...
Survey Fraud Detection Alone Can’t Guarantee Data Quality
The relentless rise of survey fraud has put data quality at the top of every survey researcher’s mind. But fraud and data quality are different concerns. To be sure, bad actors are a real threat that leads to unreliable findings and inflated costs. But treating...