Survey Data Quality: Controls, Detection, Validation and Removal
Survey Data Quality: Controls, Detection, Validation and Removal How can practitioners protect the integrity of survey data without excluding valid participants or distorting the final findings? This webinar introduces the latest CRIC and MRS Global Data Quality guidance on participant response quality, giving buyers and practitioners a practical framework for preventing, detecting, validating and, where justified, removing poor-quality or fraudulent responses. Drawing on three new guidance documents, the session will cover the full quality process from pre-survey planning and in-survey checks through to post-fieldwork validation, documentation, representativeness review and transparent reporting. It will explore how to use multiple indicators, rather than single pass/fail checks, to make balanced, defensible decisions in a research environment shaped by disengagement, technical fraud, bot activity and AI-generated responses. Wednesday 21st October 2026, 10am to 11am EDT
