I am conducting a survey with 2,000 individuals and have noticed a significant number of high RelevantID Fraud Scores (score of 30 or higher). I am seeking clarification on what this indicator represents and how it should be interpreted. Additionally, there are other indicators such as Q_RelevantIDDuplicate, Q_RecaptchaScore, and Q_BallotBoxStuffing, which capture different types of fraud activities. How do these differ from the RelevantID Fraud Score? This issue is particularly puzzling because when I cross-validate the data without excluding respondents with a RelevantID score of 30 or higher, my dataset aligns more closely with the national sample compared to when I exclude these respondents.
Question
How to Interpret the RelevantID Fraud Score?
Hi Peyman,
Have you had an opportunity to review this page from Qualtrics Support: Fraud Detection | Relevant ID ? There is a section that lists out each RelevantID and what they mean. There are other fraud detection capabilities on this page as well. I am still working out if/how to get these fields reported into dashboards; I am sure you have also noticed there is not much documentation on the RelevantID capability. I cannot assist you with your cross-validation, but I hope this provides more clarity. Enjoy your day. - Corinne
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