Identifying Poor Quality Respondents in Online Research
IIR's The Research Industry Summit on Data Quality
As online research continues to increase there is a growing concern that some respondents provide poor quality data which leads to incorrect business decisions. The research industry needs to develop and implement best practices to ensure the highest quality data. These practices should encompass many aspects of online research including panel recruitment, panel management, sample selection, questionnaire development and data cleaning.
This presentation, which recaps R&D designed to identify poor quality responders:
- Outlines the types of questions that identify poor quality respondents
- Shows the types of analyses which identify poor quality respondents
- Demonstrates whether results are impacted by poor quality respondents and suggests what you should do once poor quality respondents are identified
To learn more about the conference, click here.