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.
Enter your E-mail address. We'll send you an e-mail with instructions to reset your password.