The thorough and unsparing conversation the insights industry needs to have about panel fraud and the decay of online sample quality continues to gain momentum.
Two research industry veterans have begun a series of podcast dialogues aimed at taking a deep look at the problem’s dimensions. They’re trying to get at what is or isn’t realistic when it comes to shoring up confidence in online panels and the data they provide – a matter of longstanding worry that’s been snowballing as sample-buyers’ doubts and misgivings go unanswered while the quality they depend on continues to corrode.
From MFour’s perspective, the podcasts sound like discussions of strategy and tactics for a battle that no longer needs to be fought – at least for researchers who recognize that in-app mobile research technology and methodology is changing everything.
We’ll soon put in our two cents (or more) in a coming blog post and newsletter about this worthwhile podcast conversation. But for now, here are links to the Data Quality Download Podcasts that have been posted to date. The first looks primarily at robot response fraud. The second focuses on the ins and outs of trying to use online IP addresses to determine whether respondents are legit. Each installment runs 19 or 20 minutes, but it’s worth spending some time to get a close perspective on the rearguard struggle for relevance that partisans of online panels are trying to wage.
If panel fraud is a concern for you, stay tuned. And if you can’t wait to find out more about the best way to tackle it, just get in touch at firstname.lastname@example.org.