RepData - Quality by Research Defender
Overview
Quality
Quality Research Defender is RepData’s data quality solution, designed to identify fraud, suspicious activity and low-quality survey responses.
Combining pre-survey fraud prevention with in-survey response evaluation, it assesses sample sources, respondents and individual responses. Automated checks and transparent quality scoring help researchers understand why responses are flagged and make more informed decisions about the reliability of their data.
Key features
- Pre-survey fraud prevention: Screens respondents using digital signals to identify suspicious devices, activity and potential fraud.
- Respondent verification: Uses respondent profiling and fraud checks to help identify known bad actors and questionable participants.
- Open-ended response evaluation: Assesses relevance, effort, language, duplication, AI-generated content and nonsensical answers.
- Response consistency checks: Identifies contradictions and inconsistencies across survey answers.
- Behavioural analysis: Reviews typing patterns, pauses and response behaviour to identify potential quality issues.
- Automated quality scoring: Provides transparent scoring to help researchers understand why responses are flagged.
