Researching the Post-Pandemic Consumer: Sample and Data Quality Considerations
How do sample and data quality considerations translate to achieving more representative research for clients post the pandemic? How have changing information consumption choices impacted participant behaviours – for example what new participant and consumer observations with relation to panel and sample quality have been learned from the pandemic across modes? Moving on from the academic debates of probability versus non-probability samples, what are key differences across mode effects when working with telephone based research, face-to-face research and online research? With respect to online research (and ESOMAR’s 37 Questions offer advice on criteria used to evaluate online sample providers), when do blended samples offer unique insights and truths about the fast-changing consumer, citizen and society, and importantly, how is online fraud being combatted to improve the quality of datasets and insights?
This webinar will offer findings from multi-modal leaders of sample and data quality to provide a portrait of the new consumer reality and how sample companies can prepare.