Data Quality – Traps, Tricks and Checks
We all want the highest quality data and we know that every sample has a few people not paying full attention. How do we identify and separate out the inattentive people from those who made a genuine error? Or were tricked? Or were trapped?
In this webinar, presented by Pete Cape, SSI’s Director of Global Knowledge, we review many of the common checks used to establish attention, and discuss just how effective for, or damaging to, data quality each one is.
Learn how to use the right data quality checks to:
- Improve quality without hurting accuracy
- Shorten interview length without unfairly punishing hard-working participants
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